DevOps Practice

DevOps at Scale: Winning Strategy for Modern Enterprises

DevOps is a word that has generated massive interest over the last few years among the software-powered organizations and developers, yet many people don’t fully understand what it actually means. One thing is for sure, as cool as it sounds, DevOps is not some kind of top-secret developer army group, job profile or even a tool. It is a wonderful ideology that any firm can help itself to unite their tech crew and take the company to newer heights.

As different departments grow, communication becomes difficult between the teams, mainly development and operations. Since communication is the key to avoid unproductive siloing, the DevOps movement started as a cultural phenomenon in order to bridge this gap between dev and ops. So firms started embracing DevOps principles to get everyone on the same page and create a sense of shared responsibility, and moving forward, firms believe that was the recipe for success.

Where Does DevOps Come into Play?

Automation is one of the things DevOps is most known for. Automation reduces the amount of work, and smaller batches of work are easier to understand, commit to, test, review and know when they are done. These smaller batch sizes also contain less variance and risk, making them easier to deploy and, if something goes wrong, to troubleshoot and recover from.

With DevOps best practices like CI/CD, it is easy to understand which code has created bugs and make possible corrections wherever necessary. 

Just like lean development, through automation and agile practice, firms can get feature development very close to single-piece flow, and this provides value to customers quickly and continuously by delivering features as quickly as possible. 

More traditionally, DevOps is referred to as a means to break down the walls of confusion and chaos between the dev and ops teams and smoothen the flow of communication. In the DevOps model, development teams develop new features, and operations teams keep the system more reliable for customers, stable and running smoothly.

Today, we will see some important elements that help firms to embrace DevOps with ease.

Start a Cultural Shift, a DevOps Initiative

This should flow from top to bottom, company management leaders should start the discipline of embracing DevOps. Usually, it is the CIO who should move the needle and make things start from scratch. A DevOps mindset is very crucial at this point to make sure the teams are all prepared for a change in the culture.

Gartner predicted that through 2022, 75% of DevOps initiatives will fail to meet expectations due to issues around organizational learning and change. One of the main reasons why DevOps efforts fail is that most of the organizational leaders don’t understand Agile and DevOps. Leadership makes a huge impact on the organizational culture and its way of doing business, hence engineering leaders need to understand why this change is necessary and start a culture of collaboration, culture of experimentation and learning, and eliminate the blame game. 

Train Your People

Training is one essential aspect for team leads and the people involved under them so they understand what DevOps is, the fundamentals, and why it is important for the organization to embrace it. Training enriches knowledge, collaboration and communication processes between the people working in development and operations teams. 

It helps them to get together and get their hands on, test the new technology practices and tools introduced. There are many group courses, boot camps and DevOps experts that can help people get trained in DevOps. It is the firm’s responsibility to set proper expectations and choose the right candidates to train their people. 

Build a DevOps Plan with a Strategy

All those engineering best practices that enhance automation, team collaboration, seamless integration and testing that facilitate new ways of software development with ease are key to a DevOps strategy. Firms have to set a common goal, track changes and align teams in a shared environment making them aware of each other’s responsibilities and duties. Implementing Infrastructure as Code (IaC), test automation, integration, deployment and release processes should be a part of it.

Set Policies and Processes

The policy is an integral part of any software powered organization. With security being the priority, this has become a supreme topic in the DevOps world. For every company that has adopted DevOps, the policy is critical. As we all know, policy-driven development is a fundamental concept that fits really well into the DevOps model. This model ensures that information security, ops, development practices, language standards, SRE, sysops administration and development, are all aligned with common goals.

Containerize Applications

Containers are well equipped with the IaC approach and are used in DevOps to instantly deploy applications across various environments. Docker provides the most popular container technology toolset. Docker image management technologies, such as Amazon ECR, have made it easy for developers to perform IT operations, collaborate with each other, share software and enhance overall software delivery productivity.

Containerizing legacy applications will reduce the burden of handling the ever-growing overhead costs and it also increases developer productivity. Container deployment can be an effective solution as containers typically start in seconds. The container image holds all the dependencies, meaning there is no need to add environment-specific configurations. The same image is now portable across multiple systems and environments. The main idea is to make applications able to run anywhere, on any machine and at any given time. 

Make Use of Microservices Architecture

Decouple the legacy and monolithic application that involves thousands of lines of code into numerous small elements called microservices. With the idea of microservices, a company continues to innovate and stay agile as the products or the platform gets larger. With this approach, engineering teams focus on developing business capabilities and important features autonomously.

Instead of having to orchestrate a large release after writing hundreds of lines of code, waiting for the perfect time to offer new features, a new business functionality can be added by just adding a new service. Eventually, firms end up creating microservices that can be easily and independently deployed, scaled and managed without having to worry about other parts of the application.

Determine the Toolchain

When companies initially start embracing DevOps they feel proud, but they find it hard once they really start working toward it practically. The simple logic for this is: DevOps is fragmented. 

For many years, firms have tried to embrace DevOps and have found themselves making various mistakes by their custom scripts and logic. From source control to CI, to artifacts management to CD, as soon as one task is completed, the next step should proceed without any lag, and that is how the firms achieve their DevOps automation. But in practice, this doesn’t happen.

There are many handovers that take place manually—that is not called DevOps. Custom scripts and practices might work temporarily for a startup but when the company grows, taking different tools and writing code to make them talk to each other becomes a complex task. For this reason, recently, JFrog has launched a unified DevOps platform for companies struggling with doing DevOps at scale. 

Companies around the globe are in a race to innovate and release software and valuable features to their customers as early as possible to stay ahead of the competition. You need a platform to deliver software updates fearlessly from code to the edge. It would help if you had an end to end universal DevOps solution, like JFrog platform, to manage your entire DevOps pipeline. A highly scalable enterprise platform unifies the management of all services in a single pane of glass. The JFrog platform is Kubernetes ready to manage your Docker images and Helm repositories for your Kubernetes deployments. It has everything you need to do DevOps, from artifactory repository management to distribution.

Continuously Monitor and Share Feedback

Once we deploy the application in production and make it available for the end-users, the next step is continuous monitoring. This alerts the team if there are any misconfigurations or worse situations of an outage or of any application issues. You can monitor infrastructure health, or if would like to see and analyze logs over weeks and months, you should be able to do so.

This step provides critical feedback, essential for the team to understand and work on the aspects of the application that require additional work and resources. Continuous monitoring enables you to find issues (if any) before any customer finds them. Having no visibility is just like getting your arms tied behind your back, you can’t really see what is going on. 

Conclusion

Other than easy collaboration, improved communication, an increase in productivity and effective feedback loops, the one benefit DevOps will bring is delivering software at speed without compromising on quality. DevOps is an ongoing effort and helps people in the organization fail early and learn early from their mistakes, and it builds confidence. DevOps implementation can look too overwhelming at times, but a prepared approach with a well-thought strategy can take your firm from zero to hero. Given that the teams have patience, persistence and ever-learning attitude, it is possible to scale DevOps to new heights. 

Pavan Belagatti

Pavan Belagatti

DevOps enthusiast and a global influencer

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