DevOps Courses

DevOps is experiencing undeniable growth as a largely adopted business initiative globally. It has taken off considerably, and as per the Global Market Insights report of 2020, DevOps’ market valuation by 2026 will reach $17 billion. As of now, it has proven its worth exponentially in promoting smaller spans for development life cycles, lesser failures in deployment, betterment of communication and reduced prices.

Companies with automated DevOps structures have successfully handled themselves during the global disruption due to Covid-19, whereas those without any DevOps mechanism seemed to have considerably struggled. The Aftermath of Covid-19 enabled many companies to adopt the DevOps model by getting the right processes and tools to make it successful.

DevOps promotes an ‘automating everything’ mindset that works as its selling point worldwide. Although we cannot automate everything, and many factors can lead to the DevOps model failure, it is undeniably an effective choice, perceiving its future potential.

DevOps Tools are applications designed to automate software development and primarily focus on communication and cooperation between teams. Some of the most widely used DevOps tools are listed below:-

1. Slack: This is one of the best communication tools for effective communication and cooperation between teams. It is mainly utilised by technical organisations to provide detailed insights to every team member on the workflow.

2. Jenkins: Jenkins is an open-source server specialising in continuous integration, automating the software development lifecycle. It offers a Pipeline feature to automatically archive code, run test cases, and get reports. This tool also provides instant feedback.

3. Docker: Docker provides secure packaging, running and deploying applications without depending on the running environment. It is the centre of containerisation, an IT trend adopted by many companies

4. Phantom: Phantom ensures maximum security, one of the major concerns of DevOps teams. Developers widely use the Phantom tool for building a strong infrastructure with high levels of defence from the very first stage of SDLC, thereby mitigating any risks.

5. Nagios: Nagios is a monitoring tool that helps monitor servers, applications and the business infrastructure. This tool is widely used in the backend by large organisations with a huge number of circuitry such as routers, switches, servers, etc.

6. Vagrant: This tool is mainly used for working with and managing virtual machines in one workflow. Team members using Vagrant can share an environment for running software and even test applications quicker, taking a very short time setting up and configuring.

7. Ansible: Ansible’s configuration management and IT orchestration tools are readily available in the market. Most importantly, Ansible has a softer user outlook and doesn’t take up many of the device’s resources.

8. GitHub: GitHub has remained one of the best and most widely used DevOps tools for easier team collaboration. Developers use GitHub to make rapid changes to the code, as the platform delivers the notification of any changes to other team members, too.

9. Sentry: Sentry is widely used by companies like Microsoft and Uber for bug or error detection. It is a free tool that supports many programming languages like IOS, Ruby, JavaScript, and the like. It continuously scans code line by line and sends notifications immediately when it detects an error.

10. BitBucket: This tool is similar to GitHub and helps project code management in the software development cycle. It is comparatively less costly and has an added feature of the private repository.

DevOps Vs Agile Methodology

There are seven key steps for successfully starting DevOps ranging from strategic and systematic planning, selection of appropriate tools, automation, continuous opportunities for learning and pilot projects. They are elucidated below:-

1. Make a transformation guideline for DevOps: Before adopting DevOps, always keep a roadmap in hand. In this plan, map out the initial DevOps stages step by step to strategise its actions in real-time. Publish this roadmap and the related documentation in one location where the team members have direct access to the content at their convenience. Ensure the added details are comprehensible. Stakeholders can see the guidelines and ask questions, whereas the IT teams can view the next steps in transformation.

2. Choose the right DevOps toolchain: Before starting DevOps, choosing a toolchain is a mandate. DevOps cannot be physically bought; therefore, manual tool selection is essential to take the developers' requirements, technology stacks and integrations into account. This process also includes security and licensing exercises. For cloud-based toolchains, organisations need to make a model of the spending distribution. DevOps toolchains can also be a vector for middleman attacks. For implementing new toolchain phases, you need to consult the security team as well.

3. Incorporate strategies and tools for cultural transformation: A few challenges come with the initial adoption of DevOps as an initiative. To counter these challenges, companies must have the proper tools and strategies to initiate a business transformation successfully.

4. Automate processes: Setting automation goals according to priority is better than automating all processes in one go. This approach also helps IT admins collaborate with the different teams directly to help them feel comfortable with the changes brought about by the automation of their tasks.

5. Emphasise data analytics: With the help of modern DevOps tools, IT teams manage large actionable data sets generated via toolchains. Harness the DevOps data to enhance communication between the IT teams, stakeholders and members of the various departments. One good practice is to set up a dashboard that reports to the stakeholders. This reduces project leads' workload because they are no longer required to generate management reports manually.

6. Try with a small pilot project first: In the initial stage of introducing a DevOps setting in the company, it is always advisable to run it with a pilot project to try out new tools and reduce the risks drawn by a malfunction in the large project.

7. Prepare for continuous learning and development: The DevOps process traditionally has no last step. DevOps processes and tools have a continuous delivery process. Teams are required consistently to take lessons and upskill.

Needless to say, DevOps has a bright future in the field of business. IT professionals and developers are constantly looking for means to increase the IT infrastructure, develop new capabilities for new technology, reduce costs, and avoid issues with cloud vendors. Without a proper traffic strategy, the health of the IT infrastructure, data centres and customer experiences are fated to downfall.

With the multi-cloud global environment integration, the need to create more applications native to this cloud is increasing. Teams are constantly under pressure to develop and deploy services, which is where the DevOps structure comes in handy. DevOps’ main purpose was to connect IT professionals and developers with end consumers. People working in the DevOps industry can easily detect technological flaws and rectify mistakes quickly. What makes the DevOps teams different is that a DevOps professional collaborates with people from all across the stakeholder’s path.

Hence, when the prospect of potential technological breakthroughs with DevOps is brought up, the first thing considered is multi-cloud environment integration. The idea will enable teams to pursue innovative ideas in a supportive and lucrative space. Newer tools and platforms are constantly cropping up and will keep coming in the near future, aiming to tackle the mundanity of the current ones. These developmental changes, paired with automation, AI, and other innovations, are bound to make DevOps a lucrative and exciting field to pursue.