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OUR BLOG


Category: DevOps

Agile and DevOps: Dynamic Solutions for Overcoming Hurdles in Modern Business

Posted on March 21, 2023 by Marbenz Antonio

Agile Offshore Software Development Approach for your Business

Modern Business Hurdles

Many aspects of our lives are viewed as polarities, with our minds and hearts finding it easy to see things as divided. However, spiritual teachings have long reminded us that division is often just a perception and not the complete truth. It is intriguing to consider how this ancient wisdom still holds relevance in the rapidly evolving world of technology and information.

In the early 2000s, the Agile methodology gained significant popularity due to its ability to improve customer-vendor interactions and communication, resulting in increased business benefits. It quickly became an essential aspect of IT software development processes, providing a sturdy foundation to prevent project failures and delays.

Despite its benefits, the Agile methodology did not address the challenges faced by operations teams responsible for delivering and managing the software products developed by the development team. To bridge this gap, the DevOps concept emerged as a solution, facilitating better collaboration and communication between development and operations teams.

Agile and DevOps have emerged as modern solutions to address various business challenges, both classic and contemporary. However, they are often viewed as competing approaches. In this blog, we will explore the key differences between Agile and DevOps, helping you understand their respective meanings and determine which approach is best suited for your business needs.

Agile vs DevOps: An Introduction to Contemporary Approaches

Let us begin with Agile Software Development Methodology.

In the famous book, Digitizing Boardroom: The Multifaceted Aspects of Digital Ready Boards, Pearl Zhu writes: “Agile is more a “direction,” than an “end,” a philosophy and mindset at board level.”

Agile is built upon twelve fundamental principles, with various frameworks such as Scrum, Crystal, Lean, Kanban, and DevOps being key components of this philosophy for software development.

DevOps utilizes a range of services, tools, and applications that enable teams to develop an operational strategy to manage complex projects. These strategies and systems share a common goal of ensuring end-user satisfaction by responding promptly to evolving demands. This is achieved through the continuous adaptation of code.

While DevOps has its roots in Agile and Lean practices, it is not identical to Agile. Rather, DevOps is a software delivery methodology that aims to establish a supportive and sustainable coding environment for developers, enabling them to work effectively.

DevOps is often considered a mindset or approach that prioritizes the optimization of the software development process, which includes Agile development practices. To achieve this goal of faster software delivery, automation is a key strategy utilized by DevOps. Organizations that adopt DevOps must train their teams to embrace this mindset, ensuring the timely delivery of high-quality products.

Agile vs DevOps: The Difference

From this brief overview, it is evident that Agile and DevOps are distinct methodologies for software development, both aimed at enabling a smooth development process in a fast-paced coding environment. However, their differences emerge primarily after the development phase of the product. In the following sections, we will explore the inherent differences between Agile and DevOps.

Area of Difference Agile DevOps
Processes Agile consists of processes like Scrum and sprints. DevOps is all about actual technical practice.
Communication Agile is about communication between the developers and the end users. DevOps is about more internal communication between the teams involved in the project cycle
Way of Communication When Agile does internal communication, its purpose is to recognize and resolve issues with specific scrum methodologies. It prefers to use resources that encourage project management and collaboration to resolve issues. DevOps is more about fixing issues quickly and that too in real-time. In order to achieve this, DevOps preferred to automate deployment and track errors in real time. It simply does not hesitate to use automation even for mundane tasks so there is more focus on the high-end task. This approach eventually ensures that all the tasks are indeed running on the same fast-paced track.
Focus Agile focuses more on development. DevOps focuses more on continuous integration.
Philosophy The philosophy of Agile is about making customers totally satisfied by adding value to the product. DevOps is about creating products that have sustainable business value.
Methodology Agile methods prefer to create, assess, and evaluate the software code. DevOps methods revolve around improving the software code constantly and consistently.
Human resources Agile methods need experts at every stage of software development. For example, any agile framework would assign an expert for its development and testing stages. DevOps assign engineers that are responsible for overseeing a specific software development cycle. They are tasked with designing a specific software development cycle that ensures consistent delivery as well as the development of software systems.
Technique Agile unapologetically emphasizes the use of the empiricism technique. This technique involves observation, adaptation, and examination with the highest transparency. DevOps prefers to focus on predictive measures during software development which makes the stakeholders more in control of the process.
Strategies Agile believes in reducing e-waste and adhering to lean practices. DevOps implement cost-cutting measures to deliver software systems in a timely manner
Feedback Agile invites consumer feedback and gives itself time to process the feedback. DevOps demands internal and immediate feedback.

Using Agile & DevOps Together as a Solution

Before delving further into how the differences between Agile and DevOps can benefit the software development process, it’s worthwhile to consider how these two methodologies can be combined.

Both Agile and DevOps share a common goal of achieving faster, continuous development and deployment. By working together in harmony, they can achieve this purpose beyond expectations, instead of conflicting with each other. For example

  • DevOps places a greater emphasis on automation, which can significantly enhance the effectiveness of any development approach or methodology, including Agile. In this sense, DevOps can be viewed as a complementary approach to Agile.
  • DevOps has a greater focus on business considerations, whereas Agile is more centered around meeting the needs of customers. By striking the right balance between these two perspectives, the entire development process can be transformed with remarkable results.
  • Developers can quickly and effectively address the ever-changing needs of consumers.
  • Agile has made significant strides in minimizing the gap between consumers’ changing needs and the delivery of relevant solutions. DevOps can enhance and complement these efforts by enabling faster and real-time delivery of software solutions.

In a world where technology has become ubiquitous, the strong collaboration between Agile and DevOps offers the potential for improved software products that are also more secure. Enterprises are encouraged to embrace this partnership to enhance their reputation with consumers and increase their business value in the marketplace.

Benefits of Using Agile With DevOps for Software Development

After considering the conversation, it becomes evident that two seemingly distinct software development methodologies can complement each other effectively if utilized appropriately. Let’s delve into the significant advantages of this excellent collaboration between Agile and DevOps.

1. Greater Flexibility

While Agile is known for its adaptability, it can be a lengthy process to reach a functional product in the testing phase. DevOps can provide valuable assistance in ensuring a smooth and timely transition of the software into the production stage.

2. Cessation of Silos

On occasion, the implementation of Agile in the production environment can lead to the formation of isolated groups. However, the integration of Agile and DevOps results in a comprehensive approach to the development, delivery, and enhancement of the final product. This fosters a collaborative environment where there are no longer isolated groups, but rather a cohesive community working towards common values and objectives in unison.

3. Fewer Bugs and Risks

By merging Agile and DevOps, each release becomes less risky and more valuable, ultimately leading to greater visibility and security.

4. Higher Consumer Satisfaction

When a team can respond rapidly, it leads to increased satisfaction, as consumers are pleased to receive a product that caters to their evolving requirements quickly and efficiently.

5. Greater Employee Engagement

When silos are eliminated, employees are motivated to engage in more meaningful and collaborative interactions. When employees are fully engaged and communication is unrestricted, it has a positive impact on the overall quality of the product.

According to a survey conducted by Coleman Parkes, which involved 1,770 senior business and IT decision-makers at large enterprises across twenty-one countries in the Americas, EMEA, and APJ regions, the implementation of the Agile and DevOps combination in software development processes resulted in:

  • 75% of respondents experienced better employee recruitment and retention
  • 45% increase in employee productivity
  • 29% increase in consumer satisfaction
  • 78% increase in customer experience.

The surveyed enterprises had reported annual revenues exceeding US$1 billion (or US$0.5 billion in some smaller economies).

Things to Consider When Integrating Agile with DevOps

When integrating the Agile methodology with your DevOps team, there are a few essential considerations to keep in mind:

  • Improve your team’s workflow to ensure that the product owner, scrum master, and project manager are not solely focused on the software development process, but also on the delivery and maintenance aspects.
  • Defining the Product Lifecycle
  • DevOps Adoption in every sprint
  • Including QA in each phase and stage of integration
  • Implement service backlog under DevOps
  • Leveraging the right tools
  • Automation of workflow
  • Keep documentation on track, and always
  • Measurement and Analysis

Conclusion

The integration of Agile and DevOps methodologies has proven to be a dynamic solution for overcoming various challenges in modern business. By merging the two approaches, organizations can achieve a more comprehensive and streamlined approach to software development, resulting in higher-quality products delivered efficiently and effectively. Furthermore, this collaboration creates a more collaborative and engaged workforce, promoting increased satisfaction and productivity. As evidenced by recent surveys, the benefits of Agile and DevOps integration are clear, making it a valuable strategy for organizations seeking to succeed in the fast-paced, ever-evolving world of modern business.

 


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Posted in Agile, DevOpsTagged #Agile, DevOpsLeave a Comment on Agile and DevOps: Dynamic Solutions for Overcoming Hurdles in Modern Business

Cloud APIs: An Overview

Posted on March 16, 2023March 16, 2023 by Marbenz Antonio

Distributed Cloud API Security l F5

Last year, 60% of businesses shifted their workloads to the cloud, leading to more traffic and direct cloud instances to manage. This increased complexity requires greater customization and integration, which can be achieved through the use of APIs. APIs are performing the same functions in the cloud as they did for on-premises resources by segregating, simplifying, specializing, and integrating services across a network. By using APIs to future-proof their architecture, companies can keep up with digitization. However, many organizations are not investing in building APIs despite their importance in building innovative solutions. In the end, companies that understand and use cloud APIs to their full potential will be better equipped to keep up with the demands of digital transformation.

What is a Cloud API?

A cloud API is a software interface that enables developers to connect cloud computing services. APIs facilitate the sharing of functionality and information among programs, which is particularly critical in the interconnected environment of the cloud.

Think of APIs as waiters in a restaurant; the better the waiter, the simpler the ordering process for you and your customers. The ideal cloud API seamlessly connects backend cloud components, services, and platforms, handling all the behind-the-scenes work so that users only see a smooth customer experience on the front end. As more work transitions to the cloud, it’s becoming increasingly important to invest in this functionality now to minimize risk in the future.

Types of Cloud APIs

Cloud APIs can be categorized into several types, depending on the four significant areas that necessitate integration in cloud computing, which include integration with another platform or cloud provider.

  • Service-level PaaS APIs are intended to integrate with messaging systems, storage components, databases, and portals to provide access and functionality in the cloud.
  • Software-level SaaS APIs link cloud resources with application layer resources and underlying IT infrastructure. These APIs, also known as software-as-a-service APIs, can be utilized to create a “cloud application extension” for your ecosystem, such as in the case of a CRM.
  • Service-level IaaS APIs govern the distribution and deployment of particular cloud resources, managing tasks such as network configurations, rapid provisioning and de-provisioning, and workload (VM) management in the cloud.
  • In a multi-cloud and multi-platform environment, cross-platform APIs are essential for ensuring compatibility. These APIs simplify data management by enabling tenants to access their cloud-based resources and workloads from any of their cloud providers, not just their primary one. They offer a higher level of abstraction by converting specific provider API calls into a more universal form, making it simpler to access, manage, and interact with cloud resources.

Cloud API Security

Cloud APIs face similar security threats to any other cloud-based resource and pose the same challenges. However, one industry report revealed that malicious API traffic surged by over 117% last year, with the average number of calls increasing from 12 million to over 26 million. The study also showed that more than a third of respondents experienced authentication and data exposure-related incidents with their APIs, while 54% postponed rolling out a new application due to API security concerns.

Without proper safeguards, an unsecured cloud API could provide access to not just one but several cloud providers, their workloads, resources, and assets, essentially granting the attacker access to the keys to the kingdom. Standard authentication and authorization practices such as OAuth2.0 and OpenID Connect can help reduce the risk of lateral attacks and protect cloud-based APIs.

Why Cloud APIs

The use of cloud computing is only expected to increase and become a standard way of operating. Businesses that have not yet migrated their workloads are doing so in larger numbers, while new ventures are being built on cloud-native infrastructure. To manage the complexities of the cloud, cloud APIs are a natural solution. Without cloud APIs, user experience can suffer, and companies risk falling behind their competitors who are utilizing them.

APIs provide a safe and efficient way for companies to innovate and release new applications in 2023. Additionally, as more cloud-based services become API-dependent, the reusability of applications is another factor that highlights the need for cloud APIs. Furthermore, given the complexity of cloud products, platforms, and ecosystems, even within one organization, cloud APIs are necessary to ensure smooth interoperability. Cloud APIs also enable scalability by allowing individual components of a cloud-based service to be updated and refined separately, without affecting the whole. This level of customization is essential for organizations looking to refine their edge in the market.

Conclusion

Cloud APIs have become an essential component of modern cloud computing, as they allow for seamless integration and customization of cloud-based services. They enable different services to share functionality and information, providing a better customer experience and making application development and innovation easier and safer. Different types of cloud APIs exist, including PaaS APIs, SaaS APIs, IaaS APIs, and cross-platform APIs, each serving a unique purpose.

However, with the rise of cloud-based services, cloud API security threats have also increased. Companies must protect their cloud-based APIs with standard authentication and authorization practices to reduce the chance of a lateral attack. As cloud usage continues to grow and become ubiquitous, cloud APIs will play an increasingly crucial role in ensuring a smooth and scalable cloud infrastructure.

 


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Posted in DevOpsTagged DevOpsLeave a Comment on Cloud APIs: An Overview

ChatGPT Is Something Low-Code Should Worry About

Posted on March 16, 2023March 16, 2023 by Marbenz Antonio

ChatGPT, Chatbot Update-"More Creative, Still Flawed": ChatGPT Creator  OpenAI Announces GPT-4

Rather than asking whether ChatGPT is a technological revolution that will save or destroy the world, a more reasonable concern is whether the use of ChatGPT will lead to job displacement, particularly for those in software development.

Is it reasonable to worry about job displacement due to the use of ChatGPT and similar technologies? This concern is not uncommon and has been observed with the introduction of new technologies throughout history. Initially, there may be excitement and interest, but it can quickly shift to fear and resistance before ultimately being embraced as the new norm. ChatGPT and other natural language AI systems are undoubtedly fascinating developments with enormous potential. One aspect of ChatGPT’s potential that has been largely overlooked is its ability to democratize software development. This raises whether low-code/no-code providers should be concerned about this.

Delivering the Low-Code Promise

Low code technology has promised to make software development more accessible to non-programmers, enabling them to create their applications. This democratization of IT is set to drive innovation by allowing organizations to design new workflows without IT’s involvement. While low code has delivered significant improvements in the areas it has been implemented, its ability to deliver change is fundamentally limited by the developer’s choices. Developers determine which aspects of the application can be configured by the user, and the user does not have fundamental access to the code. While this has been an advantage of low code since users cannot cause damage to the underlying code if they cannot access it, users are still dependent on developers to perform significant tasks. ChatGPT has the potential to enable users to make more substantial changes to applications, potentially allowing organizations to achieve more significant results than with low code, and in a shorter amount of time.

Software Development is Just the Start

ChatGPT has the potential to do more than just assist non-developers in creating their own applications. The most frequent reason for IT project failure is not necessarily due to poor management or delivery alone, but rather because they fail to meet users’ expectations. This is often due to communication breakdowns between end users and IT. Users may not convey their requirements accurately, and IT may not ask the right questions to fully understand them. This leads to needs being lost in translation as technical and non-technical individuals speak different languages.

When there is a communication gap, ChatGPT can act as an intermediary between IT developers and the broader workforce who use the technology on a daily basis. This is because ChatGPT can facilitate the conversation without requiring users to possess technical skills to achieve the desired changes.

Always Start with the Business Case

Implementing change within an organization can be challenging and uncertain. It is important to begin by defining the outcomes you wish to achieve, rather than the technology you want to utilize. Even if you desire to use ChatGPT, it’s essential to start with a clear understanding of the outcomes you want to achieve and work backward from there. The decision of how to achieve these outcomes is a technical one that should be made later on. If you want to accelerate the pace of change and become more adaptable to the company’s needs, ChatGPT might be a part of the solution. However, it’s essential to start by defining the problem, creating a business case, and then evaluating the different solutions that can help you achieve your objectives. Don’t be swayed by the hype surrounding new technologies.

ChatGPT Needs Room to Flourish Outside of IT

ChatGPT has the potential to act as a bridge between technical and non-technical users within any organization. It can help narrow the gap between these distinct groups of people, accelerate organizational change, and deliver better outcomes for everyone involved. However, it’s essential for technologies like ChatGPT to exist in domains where they can thrive. In what may seem like a controversial view from an IT professional, they believe that ChatGPT, like low-code, should be located outside the technical domain. To reach its full potential, ChatGPT must leave the IT sector where it originated. The question remains: is the IT industry willing to relinquish control of ChatGPT?

Conclusion

ChatGPT is an exciting new technology with enormous potential to democratize software development and bridge the communication gap between technical and non-technical users. While low-code platforms have made great strides in enabling non-coders to build applications, their capabilities are still limited by the choices made by developers. ChatGPT, on the other hand, could allow users to make significant changes to applications without needing technical skills, potentially leading to more innovation and faster change.

However, it’s important to remember that technology should always serve the desired outcomes, not the other way around. It’s essential to start by defining the problem and desired outcomes before considering the technology to use. While ChatGPT could be an essential tool for achieving those outcomes, it’s crucial to evaluate all potential solutions before getting caught up in the hype. As ChatGPT continues to evolve, it will be interesting to see how it fits within the broader technology landscape and whether low-code platforms will need to adapt to keep up with this new contender.


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Posted in DevOpsTagged DevOpsLeave a Comment on ChatGPT Is Something Low-Code Should Worry About

Chatbots are a people issue in DevOps

Posted on March 6, 2023March 6, 2023 by Marbenz Antonio

A Complete Guide to Chatbot Development: From Tools to Best Practices

It is highly likely that you already know that you have the option to summon a chatbot or install an AI assistant within your IDE, which can help you generate basic code and deployment scripts.

Certainly! When you visit a website like ChatGPT and input a request such as “create Python code for task X” (where X is a specific task or an example task like “display contents of a file line by line”), the website will generate the code for you. If you keep your request straightforward, the generated code will be of good quality. Additionally, if you request the code to be generated in Java instead, the website will oblige and produce high-quality Java code.

If you give the chatbot a new command by saying “new chat” and ask it to “create a bash script for deploying a Java app named X with Gradle to a cluster named Y,” it will do so and inform you of the names of the deployment and service YAML files. You can then ask the bot to “generate the deployment file” and it will do that as well. If you want to “parameterize the Java version,” the bot will also make that change. This process of iterative revision can continue until the deployment code, containers, and deployment files are complete. If you haven’t tried this process before, they highly recommend spending thirty minutes going through these steps to see the potential benefits.

While it may not be completely reliable for handling complex systems, we have made significant progress in reducing the amount of tedious work involved in using templates and preconfigured containers. Similarly, with testing, there are now tools available that can automatically generate test scripts and execution code for a given source code. This means that the only remaining step, which has traditionally been the most time-consuming, is reviewing the results. Additionally, AI can assist in security testing by identifying false positives, and in performance or QA testing, it can help identify only the most severe issues as defined by the organization or a larger pool of applications.

The primary challenge they face presently is related to the workforce. The roles and responsibilities that have traditionally been delegated to entry-level employees trained in Dev/Ops/DevOps are no longer essential, as AI can perform those tasks. When they consider the implications of this, it’s genuinely impressive and quite exciting.

However, this progress also raises a concern that every organization must take into account. The way they perform tasks and the skills required for them are changing, which is a positive development. However, change always brings uncertainty, and the challenge we must now confront is, “Now that we no longer require entry-level employees to perform these tasks, how do we recruit and train them for other roles?” They do not have a definitive answer to this question yet, as my perspective is shaped by my own time. However, my advice for those interested in DevOps is to learn the fundamentals, such as understanding at least one Linux command shell, how networking works in containers and writing scripts to deploy containers and public cloud instances.

In this opinion, every organization should adopt these tools at a pace that suits them, as it enables us to achieve growth with fewer resources and less pain. However, DevOps must ensure that they are simultaneously training the next generation of DevOps engineers. Even though they have access to high-level tools that can assist us, they will still be responsible for debugging and troubleshooting for the foreseeable future. Therefore, they must have a thorough understanding of the environment and applications. There is a tool available that can describe what the code does in plain English, which is incredibly useful when dealing with complex systems that have many subsystems and complicated code. Although they do not usually mention brand names, this tool can be utilized as a training tool of the future, allowing users to compare code with the AI-generated English description.

At present, even if you do not seek out app description AIs, having entry-level individuals review the files generated by AI will serve two purposes. Firstly, it will validate the capabilities of the rapidly advancing AI space. Secondly, it will provide entry-level engineers with exposure to the fundamental aspects of the systems.

Continue to excel in your efforts. Ensure that you have a plan for DevOps in the AI era, but bear in mind that the development of the calculator did not significantly alter the number of mathematicians; it merely increased their productivity. This is precisely what we are doing here, only with more versatility. Ultimately, like a calculator, the AI has an equation to solve and provides a response.

 


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Posted in DevOpsTagged DevOpsLeave a Comment on Chatbots are a people issue in DevOps

Developer Shortage Continues Despite Tech Layoffs

Posted on March 6, 2023March 6, 2023 by Marbenz Antonio

Are Tech Startup Layoffs Actually... Declining? | Dice.com Career Advice

According to a recent industry survey conducted by Infragistics between December 2022 and January 2023, more than 2,000 developers and IT professionals participated and 37% of the respondents indicated that they anticipate ongoing challenges in recruiting developers with the required skills up to 2023.

In addition, the survey revealed that 37% of developers and IT professionals share a concern for their organization’s ability to maintain employee safety. The survey also found that 36% of respondents feel that they are working with constrained resources.

“Over the past three years, workers have been faced with a series of unexpected challenges—the COVID-19 pandemic, an economic downturn, and a volatile work environment–which is pushing employers to do more to assure workers are protected. Employers that take steps to protect their employees will be more likely to retain them, especially in light of the developer shortage,” the report said.

According to the survey respondents, the three technical jobs that were reported as the most challenging to recruit for are DevOps engineers (16%), data analytics developers (16%), and IT security engineers (13%).

According to the report, although almost all developers (89%) collaborate with a designer or design team, less than half of their time (43%) is spent on coding the application. To compensate for vacant roles and meet the required pace of development, many organizations are employing low-code/no-code tools. The report indicated that the use of such tools is addressing the shortage of skilled developers in more than three-quarters (77%) of organizations.

According to the survey, software developers are planning to enhance project management (30%), boost collaboration between designers and developers (30%), adopt software that supports citizen developers (27%), incorporate remote staff (25%), and integrate a data catalog/analytics catalog (25%) in their future plans.

“The biggest software development challenges in 2023 will be the inability to keep pace with innovation in developer tools (28%), difficulty with third-party integration (267%), struggle to manage workload (26%), security threats (26%), project management (26%) and client expectations that are too high (26%),” the report said.

Although the industry faced a turbulent phase during the latter half of 2022, the survey findings suggest that developers are positive about the remaining period of the year. The survey reveals that the software development industry intends to:

  • Adopt new technologies/applications (38%)
  • Expand into new markets (35%)
  • Take on new projects (32%)
  • Increase revenue (31%)
  • Increase requests for proposals (31%)

Lastly, the survey noted a rise in the usage of business intelligence and embedded analytics. The report indicates that over 80% of developers have currently integrated these tools into their products, which marks a 3% increase from the previous year’s survey.

The report highlighted an upward trend in the usage of embedded analytics in apps. As per the survey, nearly half of the developers (48%) had integrated analytics into client apps in 2022, which is an increase from 31% in 2021. Additionally, the report mentioned that 75% of software developers anticipated an increased emphasis on business intelligence in their organizations in 2023.

According to the survey, the three primary reasons why software developers integrate embedded analytics are to enhance customer satisfaction (32%), gain a competitive edge (30%), and enable data-driven decision-making (25%).

As per the report, customers expressed their desire to include embedded analytics in their requirements with the expectation that it would boost productivity (42%), generate higher sales/revenue (39%), provide insights into business problems (33%), and facilitate better business decision-making (32%).

 


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Posted in DevOpsTagged DevOpsLeave a Comment on Developer Shortage Continues Despite Tech Layoffs

Data Democratization Driven by New-Age Tech and Culture

Posted on March 6, 2023March 6, 2023 by Marbenz Antonio

The Democratization of Data Science

For organizations to fully leverage the value of data and reap its benefits, it has become crucial to democratize data. By making data accessible to everyone within the organization, businesses can enhance customer service and make informed decisions that align with their goals and objectives. Essentially, data democratization involves granting employees access to a company’s data resources, while also ensuring that reasonable limitations are in place to uphold legal confidentiality and security.

The importance of data democratization in eliminating data silos within organizations is evident. By democratizing data, organizations can grant broader access and utilization of data, resulting in better decision-making, enhanced collaboration and innovation, and optimized use of resources.

Reducing data silos can aid in mitigating the risk of data breaches and enhancing data security. Although it may be debatable whether data democratization can effectively prevent security breaches, silos between networks or security systems can impede the detection of large-scale attacks, as they often involve disconnected security protocols. Non-communicating teams are less likely to have robust security measures in place.

New-Age Tech as an Enabler of Data Democracy

Emerging technologies such as cloud computing, blockchain, and advanced analytics are facilitating the process of data democratization. 5G, for instance, enables the swift and secure transfer of large amounts of data in the form of big data. Blockchain improves the quality of data and enhances the performance of both cyber and physical systems. Similarly, IoT allows for the exchange of data between devices, enabling the establishment of processes without the need for intermediaries.

According to a survey conducted in March 2022 of IT professionals primarily located in North America and Europe, 93% of the IT industry is likely to adopt a hybrid of cloud and on-premises solutions or shift entirely to the cloud within the next five years, using it to store and manage data. Gartner has predicted that by 2025, 85% of enterprises will adopt a cloud-first principle, considering it crucial for implementing digital strategies in business.

This indicates that emerging technologies have a substantial impact on dismantling data silos and enabling universal access to data within organizations. With the help of these technologies, companies can efficiently store, process, and share data, resulting in improved decision-making, enhanced collaboration, and better business results.

The process of data creation, development, and utilization is intrinsically linked to Industry 4.0 applications, and the implementation of data democratization can be seamlessly incorporated into these applications. This leads to the question of whether industrial companies currently possess the necessary capabilities to implement data democratization effectively and to what degree.

The rise of new-age technology has spurred the emergence of novel business models, and companies that can effectively spearhead a cultural transformation in addition to a technological evolution will likely achieve success. One approach to achieving this is through the implementation of a business-centric data strategy that incorporates the democratization of analytical tools and platforms. This empowers stakeholders to develop more profound insights into their business processes, leading to improved outcomes.

Culture as a Prerequisite for Data Democracy

According to a survey by Google Cloud and Harvard Business Review of industry leaders, 97% of respondents believe that organization-wide access to data and analytics is vital for their business’s success. However, only 60% of those surveyed thought that their organizations currently provide adequate access to data and analytics.

What are the fundamental requirements for implementing data democracy? Firstly, organizations should cultivate a culture shift that fosters internal demand for data access rather than prioritizing technological development. Secondly, since decision-making in many companies is typically guided by experience and intuition rather than data, it is crucial to start using data as a foundation for business decisions. Finally, leaders should foster a data-driven culture that develops organically within the organization.

Sharing and formalizing knowledge can help eliminate obstacles to the democratization of data. One approach to achieving this is to establish specific incentives that encourage a culture of knowledge sharing. For instance, existing strategies that incentivize participation in a suggestion or lessons-learned programs can serve as a useful reference point.

Although many companies have processes in place to engage employees in continuous improvement efforts, these employees may require additional capabilities beyond their day-to-day IT systems to fulfill their individual information needs. As a result, it is critical to invest in internal capability building as a way forward. Decentralizing decision-making is another viable approach; if employees can independently obtain insights, they should be empowered to act on these insights autonomously.

The importance of organizational culture in data democratization cannot be overstated since it shapes the attitudes, behaviors, and values governing how data is shared and used. Conversely, a culture that prioritizes secrecy or hierarchical control over data can create obstacles to data democratization and perpetuate data silos. Similarly, a culture lacking trust and transparency can result in a reluctance to share data, hindering collaboration and impeding data-driven decision-making.

Data Democratization – The Way Ahead

To promote a data-friendly culture and enable data democratization, organizations must evaluate and improve their technology infrastructure and internal culture. Encouraging open communication and collaboration among employees, and providing training and resources to access, analyze and understand data are critical to building a data-friendly culture.

Effective communication, collaboration, innovation, and trust are key attributes for dismantling data silos. A company culture that values data-driven decision-making will encourage broader access to and utilization of data and facilitate the implementation of new-age technologies. Additionally, it is crucial to establish well-defined data governance policies and procedures that promote data democratization and create a continuous improvement process by fostering experimentation and learning from mistakes.

 


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

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Business Transformation is more than just an IT decision

Posted on February 28, 2023February 28, 2023 by Marbenz Antonio

Five reasons why digital transformation is essential for business growth | IT PRO

According to a recent Raconteur article, the new IT plays a crucial role in the process of business transformation, which encompasses various tools such as cloud services, ERP software, CRM platforms, data lakes, and HR management tools. However, an organization needs to determine the appropriate IT to purchase and find ways to maintain a prosperous transformation beyond acquiring new hardware and software.

Initially, it is important to comprehend the concept of transformation. This involves identifying the destination for your business, determining the objective, and ascertaining if you help to expand. Scaling the organization as a whole is often a prerequisite for growth, which may necessitate adopting various technologies, in addition to hiring suitable personnel to assist with scaling efforts.

Currently, the process of transformation typically involves upgrading the methods used by IT to support a business. This involves shifting away from traditional in-house IT support towards outsourced cloud computing. Nonetheless, transitioning from server-based IT to cloud services could potentially result in exorbitant expenses to attain a “Rolls Royce” level of quality, whereas opting for a cheaper service may be more affordable but compromise on quality.

Normally, a business ought to possess a roadmap and a comprehensive comprehension of how the IT function, and the business will collaborate to implement novel technologies. This will be integrated into a business plan for the upcoming one to five years, which should contemplate how to scale the business, whether gradually or more ambitiously.

In the end, it is imperative to have honest discussions within your organization to ascertain what is genuinely necessary. Otherwise, you may fall into the trap of purchasing the latest “shiny new thing,” whether it is required or not. Developing a well-structured plan entails outlining all the essential elements and incorporating risk assessments to prepare for any potential complications.

The risks of relying on new technology alone to deliver business transformation

The majority of transformations are not without issues, particularly when they involve resolving challenging problems or unanticipated circumstances. Whenever you introduce new elements, specially customized configurations, it is essential to anticipate that something may go wrong. Therefore, it is critical to have monitoring systems in place to detect and manage any issues that may arise. You must also decide whether to rely on the in-house IT team to resolve these issues or to engage an outsourced service provider.

As part of the transformation process, you must consider who will be responsible for supporting the technology, along with governance and training for users. Additionally, you need to identify a liaison point who will communicate with any external support provider.

Sustaining a transformation – operations and culture

The Raconteur article briefly acknowledges the significance of considering the operational and cultural aspects of a planned transformation. However, what does this entail in practice when it comes to maintaining a successful transformation?

Undoubtedly, unexpected challenges will arise during any transformation. Therefore, it is crucial to have adequate personnel and processes in place, with a clearly defined support model that encompasses updates and upgrades. All these aspects should be systematically documented, including any associated costs or training requirements.

It is logical to have individuals who possess a deep understanding of the problems at hand and can effectively communicate with external support services regarding technical matters. It is crucial to comprehend the nature of their proposals and how much they will cost.

The ITIL 4 framework includes an entire section dedicated to service operations, with several elements of best practice guidelines that can assist in implementing transformational change within your organization.

An important component of this process is cultural adoption and the effective utilization of technology. As you introduce new technology, it is essential to establish user groups or communities that can provide feedback throughout the process. This approach allows you to incorporate feedback into future changes and engage more users. Ideally, this should address their primary concern of “what’s in it for me?”.

Failing to do so will result in negative experiences, which can cause people to lose interest and resist adopting new technology and workflows. It is crucial to bring people along on this journey, and approaches such as organizational change management within ITIL 4 offers a framework for helping individuals navigate change. Neglecting this aspect is, in my opinion, one of the most significant missed opportunities in business transformation.

A place to start with transformation

If you are creating an agenda for the beginning of a business transformation program, what key items should be included?

  1. Develop a comprehensive checklist of required items, including technology.
  2. Design a communication and outreach strategy to inform stakeholders of the upcoming changes, the rationale, the timeline, and how they will benefit.
  3. Create a plan for managing adoption and facilitating organizational change.

It’s important to keep in mind that transformation and modernization are ongoing processes. It’s never a one-time event, and even while maintaining current operations, you need to anticipate what’s next in terms of technology and the future of your organization.

 


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Posted in Agile, DevOps, ITIL 4, PRINCE2Tagged #Agile, DevOps, ITIL, ITIL 4, PRINCE2Leave a Comment on Business Transformation is more than just an IT decision

Building a Skills Required and Managing Digital Change

Posted on February 28, 2023 by Marbenz Antonio

5 Ideas for Developing Real-World Thinking Skills

An essential component of any digital transformation plan involves utilizing advanced tools for data management, analysis, and interpretation.

The significance of this lies in the fact that having a comprehensive understanding of data can enable organizations to achieve greater levels of efficiency. However, achieving this objective necessitates dedicating more time to utilizing data for making informed business decisions, which is not always the norm.

Usually, most of a team’s time and energy is spent on tasks related to collecting, refining, modifying, and analyzing data to determine its usefulness. This results in significant labor-intensive work that contributes little to no value.

A change in behavior is required to shift an organization’s approach towards a more business-oriented use of data, with a greater emphasis on achieving desired outcomes and reaping benefits, rather than simply producing outputs. It is only when data is leveraged intelligently that it can have a transformative impact.

An instance of benefits realization within this organization pertains to the payment collection process for the electricity it generates. In the past, this process was often time-consuming and could take over a month to raise a payment claim with a company. However, leveraging a deeper understanding of data allows the organization to track power generation in real-time and automate the payment claim process. This has led to a significant increase in efficiency, eliminating the need for hundreds of man-hours.

What are the skills required to implement such changes within organizations?

Developing the right skills

In addition to possessing data and machine learning engineering skills, organizations require individuals with expertise in change management.

An important aspect of this process involves training ourselves to ask the appropriate questions. For instance, in digital transformation, instead of inquiring about what people want (which usually centers on present needs rather than those required for a transformed future), they have learned to comprehend the tasks they perform. Their needs, and subsequently suggest suitable solutions.

Acquiring the skills necessary for achieving this objective requires a focus on continuous improvement, which can be gleaned from various best practice sources.

  1. PRINCE2 for the overall roadmap – The classic project management approach offered by PRINCE2, along with its association with program management, continues to be one of the most effective means of communicating with senior management regarding our initiatives.
  2. PRINCE2 Agile – understanding the agile world – Suppose your organization, like theirs, is transitioning towards a fully agile approach to software or product delivery, utilizing methodologies such as Scrum. In that case, PRINCE2 Agile can assist in managing ideas in a more sequential manner before engaging agile teams for development. This involves implementing two-week sprints, daily stand-ups, and a meeting every two weeks to review the roadmap with various individuals in the team.
  3. ITIL 4 and digital strategy – ITIL 4 has proven to be highly valuable in assisting me in devising a digital strategy. As the Head of AI Implementation, comprehending how digital strategy translates into practical implementation is critical for my role.
    How does collaboration between individuals possessing varying skills to work? In their organization, the majority of individuals do not necessarily require a deep understanding of the agile framework. Instead, they can approach these activities from a project perspective without needing to be directly involved with the framework.
    Pure developers must comprehend the broad business objectives but can concentrate solely on agile development without engaging in the planning of the roadmap.

A blended approach to best practice

In contemporary times, it is an inescapable truth that organizations undergoing digital transformation require appropriate tools for the job, necessitating the integration of diverse sets of best practice skills into their firms. This, in turn, gives rise to new breeds of individuals possessing innovative approaches and occupying novel roles.

Effective communication is also an important aspect of this process. Right from the commencement of a transformation, it entails fostering closer relationships with people and inspiring them about the anticipated changes.

Leveraging data for facilitating transformation, which may encompass machines and artificial intelligence, should not merely be restricted to the composition of computer code but should instead be viewed as a journey of progress that people must actively participate in and feel enthusiastic about.

 


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Posted in Agile, DevOps, ITIL 4, Lean, PRINCE2Tagged #Agile, #AgilePM, ITIL, ITIL 4, Lean, PRINCE2Leave a Comment on Building a Skills Required and Managing Digital Change

Three Performance Challenges as Chatbot Use Increases

Posted on February 8, 2023February 8, 2023 by Marbenz Antonio

Therapy by AI holds promise and challenges : Shots - Health News : NPR

Organizations are adopting the use of voice or text chatbots, with some already having implemented the technology. According to Gartner, by 2027, 25% of organizations are expected to make chatbots their primary means of customer communication. This shift is due to the change in consumer behavior, which now favors digital interactions over traditional customer support methods.

Due to the fast-paced digital environment, consumers now expect immediate response and resolution from customer support. Chatbots provide a quick solution for brands to meet these demands. With the growing need for instant customer service, chatbots have become more advanced and are increasingly relied upon by consumers. This increase in use has led to higher expectations for chatbot performance. If these expectations are not met, it can negatively impact customer satisfaction and brand loyalty.

They’ll examine three major challenges associated with the increasing usage of chatbots as they serve larger and more diverse customer groups, and how a continuous testing approach can help business leaders, developers, DevOps, and CX teams overcome these challenges.

The Pain Points of Adoption: 3 Key Challenges as Chatbot Usage Grows

With the growing global popularity of chatbots, the systems behind them, such as those handling natural language processing, latency, data security, and other functions, must be robust. This is because of the expanding and diverse user base, many of whom are sharing more personal information to get a wider range of customer needs to be met. Three major challenges encapsulate the common pain points in chatbots.

Challenge #1: Chatbots face the challenge of serving a growing and increasingly diverse customer base

Voice or text-enabled chatbots must possess the intelligence to securely operate while dealing with various challenges such as variations in the spelling, diverse accents and dialects, background noise, poor connections, and more. Though customers may typically have only four or five intentions when interacting with a chatbot, these intents can be expressed in numerous ways. With the global increase in chatbot adoption, there is a higher likelihood of poor connections and a significant increase in the number of languages and phrasing variations that the chatbot must comprehend and process.

Challenge #2: Chatbots are receiving more trust from customers to handle personal and sensitive information

As chatbots become more intelligent and trusted by customers to meet their needs, people are becoming more willing to share their personal information with them. This leads to an increase in situations where chatbots are handling personally identifiable information (PII) or other confidential data. With the implementation of data privacy regulations like GDPR worldwide, there is added pressure to ensure that chatbot systems maintain secure and compliant handling of this data in all use cases and regions.

Challenge #3: Modern chatbots require 24/7 availability and reliability

In the age of flexible work and with millennial and Gen Z audiences interacting with bots outside of traditional business hours and on weekends, chatbots cannot be limited to working in shifts. Customers may be located in multiple time zones or worldwide, leading to a large portion of users who are awake, online, and seeking quick and efficient service at all times. Therefore, chatbots must be capable of handling spikes in traffic and high volumes of requests 24/7.

The main conclusion from these challenges is that contemporary chatbot investments should be centered around flexible systems that can adapt to changing customer usage and performance needs.

A Continuous Testing Mindset is Required for Top Chatbot Performance

Fortunately, by following best practices and investing in automated artificial intelligence (AI) and machine learning (ML) systems, leaders responsible for customer experience (CX) and their teams can develop chatbots that can handle these challenges. The key to success is to adopt a continuous testing approach.

For instance, during digital transformation when a company moves its contact centers and supporting systems to the cloud, a large amount of data is being transferred, complex integrations are being re-evaluated, and processes are being re-architected. To preserve the stability of the application and existing integrations in the contact center, continuous testing is essential to guarantee that the organization’s systems continue to function properly throughout the cloud migration process. Continuous testing, development, and testing are not separate activities. Testing is automated and quality assurance is integrated as developers submit their code.

An effective continuous testing approach involves thoroughly analyzing all channels, including chatbots, to mimic real customer interactions. This should cover scenarios like unexpected user inputs and high traffic at unpredictable times. Automation is essential, especially during peak demand periods, and companies should aim to test the bots’ capacity to handle large numbers of requests, such as up to 100,000 requests per second or more. The testing should be comprehensive and include automated evaluations of NLP scores, conversational flow, security, performance, and monitoring.

Continuous Testing Elevates Chatbot Reliability and Value

By implementing continuous testing, companies can improve the performance of their chatbots and minimize risks while boosting revenue. Through continuous testing, organizations can avoid 90% of the downtime caused by high-severity errors, leading to cost savings of $2.2 million over a three-year period. When testing is incorporated into every stage of the development process, it allows for earlier identification of issues and enables the company to innovate faster and provide better and more profitable service to its customers.

 


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Posted in DevOpsTagged DevOpsLeave a Comment on Three Performance Challenges as Chatbot Use Increases

The Complete Guide: How to Hire a DevOps Engineer?

Posted on February 8, 2023February 8, 2023 by Marbenz Antonio

Hire a DevOps Engineer: Step by Step Guide | Dinarys

The economic decline, difficulties in handling the pandemic, supply shortages, and the continued conflict between Russia and Ukraine have caused job cuts in various industries. Although these occurrences affect the technology sector, it doesn’t necessarily spell trouble for DevOps professionals seeking new employment opportunities.

Tech recruiters seek individuals with the appropriate skills and background to build or improve their digital presence, enabling them to connect with customers and clients while maintaining security.

This article examines the duties of a DevOps engineer, highlighting the essential skills and understanding required for success. Furthermore, it covers the steps to identify and hire a competent DevOps engineer and the key traits to look for in a candidate.

Understanding the DevOps Engineer Role

Continuous Integration and Continuous Delivery (CI/CD)

The primary task of a DevOps engineer is to design, develop, and manage a continuous integration and continuous delivery (CI/CD) pipeline with tools such as Jenkins, Gitlab, CircleCI, or AWS Code Pipeline. Their aim is to make the software deployment process more efficient, potentially reducing deployment time from a prolonged period to a swift process.

Automation of Repetitive Tasks

DevOps engineers utilize their proficiency in Bash and Python scripting to automate tasks such as setting up infrastructure, servers, and containers and scheduling cron jobs.

Security

A key aspect of a DevOps engineer’s role is ensuring the security of code, applications, and systems by implementing security protocols. This includes responding to security breaches, conducting security assessments, securing servers, and managing user security measures such as AWS accounts, SSH keys, Linux/Unix permissions, SSL certificates, and using tools like Amazon KMS to encrypt sensitive data like API keys.

Application Troubleshooting

DevOps practitioners also bear the responsibility of resolving problems that occur during the software development cycle, deployed applications, and web applications, as well as identifying areas for improvement.

Administering and maintaining databases

Some DevOps specialists also manage an organization’s data by constructing and fixing database clusters to fulfill business requirements, handling streaming data, and more. DevOps teams guarantee that systems are set up correctly and are equipped to handle growing workloads and facilitate business expansion.

Here are some soft skills that can enhance a DevOps engineer’s performance:

  • Excellent Skill Communication: As DevOps engineers often collaborate with developers, IT personnel, and management throughout an organization, they should possess the ability to effectively communicate technical concepts and ideas.
  • Collaboration: Collaboration and working effectively with others are vital components of DevOps.
  • Problem-solving: The ability to identify and creatively solve problems is a key requirement for DevOps engineers.
  • Adaptability: As the technology industry is continually advancing, DevOps engineers must be able to adapt to new tools, technologies, and processes.
  • Time Management: Effective time management is important in DevOps, as the work pace can be fast and involve multiple projects.
  • Continuous Learning: DevOps engineers must be dedicated to ongoing learning and staying current with industry advancements to keep pace with the rapid evolution of technology.

Hiring Process

The recruitment process for a DevOps position may vary based on the organization’s specific requirements and objectives, as well as the availability and proficiency of potential candidates.

However, some common steps can be found in many DevOps hiring processes:

  1. Define the role and responsibilities: Determine the necessary skills and experience for the DevOps position and the specific duties and projects the candidate will be accountable for.
  2. Source candidates: Employ various methods to locate suitable candidates, such as job boards, employee referrals, and professional networking platforms.
  3. Review resumes and cover letters: Seek out candidates with the necessary technical skills and experience and the capacity to communicate efficiently and collaborate effectively as a team player.
  4. Conduct initial phone screens: Utilize this chance to gain insights into the candidate’s background, skills, and interests, and evaluate their suitability for the position.
  5. Administer technical assessment: Based on the specific demands of the position, it may be desirable to administer a technical evaluation to the candidates to assess their knowledge and abilities. This may involve a coding task, a written exam, or a practical technical assignment.
  6. Schedule in-person interviews: Use the interview process to gain insights into the candidate’s personality, communication abilities, and work habits, and assess if they align with the company’s culture. Consider having them interact with other team members to further gauge their compatibility.
  7. Check references: Obtain feedback from the candidate’s previous employers and associates to gauge their work history and effectiveness.
  8. Make an offer: If the candidate proves to be the ideal match for the DevOps role and the organization’s culture, make a job offer and discuss the terms and conditions.
  9. Onboard the new hire: Once the candidate agrees to the job offer, provide them with the training and resources they need to quickly become proficient in their new role.

By adhering to these steps, you can successfully recruit a DevOps engineer who will play a vital role in the progress of your organization.

Onboarding and Training

The success and retention of new hires can be greatly influenced by the onboarding and training process, which are key components of the employee experience.

It is especially critical to provide proper onboarding and training to new hires in DevOps positions, as they usually need to possess a wide range of technical abilities and work well with diverse teams and departments.

A thorough onboarding and training process is vital for DevOps positions due to the following reasons:

  1. A thorough onboarding and training program is critical in DevOps positions, as they entail handling intricate technical systems and procedures. This ensures that new employees can quickly learn the necessary tools, technologies, and approaches for their role, allowing them to make impactful contributions sooner.
  2. In DevOps positions, there is often close collaboration with other teams and departments. A thorough onboarding process that familiarizes new hires with the company culture and values, and the functions and responsibilities of other team members, can foster the development of robust working relationships and successful collaboration.
  3. In DevOps positions, it is crucial for new hires to have a comprehensive onboarding and training process to understand the company’s goals and objectives and the direction it is heading. This can help them to adapt to rapidly changing environments and see how their role fits into the bigger picture and contributes to the organization’s success.
  4. A comprehensive onboarding and training process can create a warm and supportive environment for new hires in DevOps roles. This, in turn, can increase their level of engagement, motivation, and overall job satisfaction, leading to improved retention and productivity.

By implementing an efficient onboarding and training program, organizations can provide new hires with a positive start, increasing the chances of their success and impact on the company’s achievements from the beginning.

The Bottom Line

When seeking to improve development and operations processes, it’s important for organizations to carefully choose a DevOps engineer. An adept DevOps professional can bring about more efficiency, faster application launches, and reduced downtime. To secure the ideal DevOps engineer for your company, it’s important to establish the position’s duties and responsibilities, draw from a wide pool of candidates and evaluate their technical proficiency, communication skills, and compatibility with your company culture.

 


Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Posted in DevOpsTagged DevOpsLeave a Comment on The Complete Guide: How to Hire a DevOps Engineer?

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