What is DevOps? There’s a tweet from @sadserver that says: “DevOps is a software engineering culture and practice of putting horrors into containers and then talking about Kubernetes at conferences”. Check out this full DevOps guide, its meaning, and the top tools.
We try to order and categorize our roles and our place in the world to make our jobs and our lives more manageable, but over-categorization and bureaucracy can leave us trapped in a straightjacket where human imagination and innovation can suffocate. So we eventually break out of it only to come to a point where things have become chaotic, so we bring back the order and rigidity, and so the cycle repeats itself. This is roughly the cycle in which progress occurs.
DevOps is the most recent instance of us realizing the rigidity of our organizations. As the IT industry grew over the last few decades, it also accumulated a fair bit of bureaucratic overheads. Chief among these was the differentiation between the people who wrote the software – the Developers – and the people who operated, monitored, and troubleshooted the software – the Ops personnel. The DevOps movement, as it is called, was the realization that this distinction has little to no merit.
The DevOps mindset encourages members from both categories to communicate more freely. Some organizations have started to consolidate them into a single DevOps team. But it goes deeper than that. DevOps is more about mindset than the organizational structure at your company. The DevOps guide encourages developers to know more about the real world, and it encourages the operators to know more about software development. It is useful for several reasons.
The first reason is buried in the fact that computers are meant to be automated, not manually tended like an automobile. If your job involves running a set of tests, building routines, and then deploying the app into production, you will find yourself writing many scripts to automate your work. That will make the routine more reliable and quicker. In other words, even as an Operator, you will find yourself writing a fair bit of code yourself.
Conversely, if you are a developer, you can’t bury your head in the sand and use your favorite language and framework to build applications. No! You need to learn a fair bit about the production environment and the real world to make a good product. For example, knowing a little bit about AWS CloudWatch can let you write software with better monitoring and tracing support.
“DevOps is about confronting real-world constraints and opportunities with an operator’s pragmatism, analytical thinking, and a developer’s creativity and ingenuity. ”
If applied properly, the DevOps philosophy can give your product a competitive edge, make your employees happier, and make your management smoother. These are the most obvious, short-term goals, but over the long run, it will generate readable code, elegant design, and smarter technocrats. Done properly, DevOps may very well be our legacy.
As stated earlier, DevOps is a mental framework where people with one set of responsibilities, say Ops, they are empathetic about the complications and troubles that people from related departments, like Development, face. Given the right mindset, a mutual understanding between the two aspects of the software industry can work wonders.
For example, if the developers are cognizant of the environment in which their code will be running, they will try to optimize the code accordingly. If the Ops team notices a certain bug creeps up repeatedly, they can add it as one of the tests in the test suite used by the developers. They can even take this further by automating the process of tracking a bug, so it is much quicker. This symbiosis could help reduce friction, save time, and improve products overall.
“The above scenario, in my mind, summarizes what DevOps really means. DevOps is not about containerization, scalability, microservices, or any other buzzword that the software industry is spewing these days. DevOps really is about being pragmatic.”
It has more to do with IT professionals’ human workflow and day-to-day activities. That said, I will still be talking about it largely in the context of cloud computing and cloud-native applications because that’s where it is more immediate and obvious.
If marketing is to be believed, following a DevOps guide can solve any problem under and inside the Sun. Sadly, the more omnipotent you make a concept, the harder it becomes to follow it. So let’s narrow our field of vision by eliminating what DevOps is not.
People tend to equate system administration to Ops. Let’s be clear: DevOps, or even Ops, is not comparable to your traditional sysadmin job. More often than not, physical infrastructure and its management are delegated to cloud service providers like AWS, Azure, DigitalOcean, etc. If your company is using one of these services, you don’t need a ‘traditional’ sysadmin. That job has long since been decoupled from companies writing and shipping software.
There are a few exceptions to this rule, such as the cloud service providers themselves, CDN providers, and several other organizations responsible for maintaining the Internet backbone upon which the IT industry runs. Also, system administration is by no means a ‘dead job.’ Some of the most bleeding-edge research facilities, universities, banks, government institutes, etc., must run and maintain theirs on private servers and networks.
“DevOps is not a set of tools. It uses a set of tools to automate testing, building, bug tracking, and deployment.”
Tools like JIRA, Jenkins, Ansible, Puppet, and even Docker fit incredibly well with the DevOps guide. Docker helps make the development environment similar to the production one, JIRA helps developers stay on top of the reported issues, Jenkins lets you build a lot of CI/CD, and so on and so forth.
All of these tools have various commercial and open-source alternatives, but DevOps as a concept is independent of them. Later on, we will see some of these DevOps-related tools in much greater detail.
Apart from the wrong DevOps guide and concepts noted above, there are other myths. Take a look at our Top 5!
There are a few key concepts and practices that might be disruptive at first but are essential in the long run when you are trying to adopt the DevOps guide. Some of the changes are related to human behavior and the rest are technical.
DevOps means greater freedom for individuals to experiment and learn about different technologies. However, with this freedom comes additional responsibility. The range of problems you are expected to deal with grows, and so does the level of competence expected from you.
This can be overwhelming. Under the traditional model, the humans were split based on their skill sets. Under the DevOps guide, you might want to use a different approach. The application itself can be broken down into manageable microservices. Then a team, or an individual, can take responsibility for a particular microservice rather than the whole complex application.
Adoption of a microservice architecture is not necessary but quite helpful if you are trying to adopt DevOps as a culture.
Quarterly release cycles and “scheduled” deployments slow down the thought processes. Ideas lose their charm, sitting on a to-do list, and humans lose enthusiasm. Central to the DevOps guide and culture is the practice of continuous integration, or CI, where you push changes to a central repository, and then a set of automated tests validate that the entire app works correctly after the merge.
This works beautifully with microservice architecture. If a build fails, then you know that your particular microservice was changed, and you will turn your attention to that. If it were all a giant monolith, incremental updates would have triggered bugs in the remotest part of your code base, making incremental updates impractical.
Integrating your changes with the existing code base is fine, but what about releasing it into production? Is it a bridge too far? While many insist that this is indeed reckless and unwise, you should look into Continuous Delivery options if they are well-suited for your application. Why push a giant update every quarter or every six months when you can push new features incrementally?
This will give your product a competitive edge. While your competitors are waiting for their next release cycle, you are continuously rolling out new features to the users.
If security and reliability are a concern, you can use the flexibility of source control to differentiate between the production-ready branch and the one that is on the bleeding edge. A good example of this is the FreeBSD operating system, which offers its users STABLE, CURRENT, and RELEASE branches and the OpenSUSE rolling update model, Tumbleweed.
The nastiest of the bugs are encountered in production; the ones that escape test cases and subtly hurt performance are the hardest to catch. The only way to monitor them is to make your code more observable. The proper DevOps team believes strongly in the value of observability.
Services like Amazon CloudWatch can be integrated into your applications to monitor and log the app’s state in real time. Besides real-time monitoring, aggregating time series data can also help developers better optimize for trends in usage patterns and user behavior.
Observability and Debugging ought to be first-class citizens when it comes to DevOps.
Thinking of adopting the DevOps model? Dive into the DevOps guide and culture!
DevOps model has an intimate relationship with the cloud and cloud-native apps. Cloud is where each microservice can be individually updated. The cloud is where your repositories are hosted, and the cloud is where the building and testing happen. Cloud is costly.
That last point is rather crucial. Both the cloud vendors and the customers want to ensure you get the best bang for your buck. It is an immensely competitive market, which is good news if your app can be a host on it. AWS is the best example of it, their pay-as-you-go model and billing on per second basis has motivated developers to optimize their code to the nth degree. A deep understanding of both the cloud platform and the nature of your application is needed to make things work optimally.
Cloud is essential for the majority of requirements a DevOps team might have. Everything from the source code repositories to the building, testing, and deployment can be run on the cloud. Conversely, the attention of a healthy DevOps team, with the perfect interplay between the development and operations, would soon turn towards optimizing their app to use the least amount of memory and compute time and offer the best user experience.
If executed properly, and that’s a big ‘If,’ a DevOps guide can mutually benefit all participants.
If you think that a DevOps guide is feasible for your business/workplace, you should definitely put this idea on the table. The end result of this philosophy is definitely worth the additional adjustment period.
If you want to look into the benefits of DevOps, here’s a helpful video for you!
When it comes to adding tools to your arsenal, you ought to be very careful. A good rule of thumb is to add more tools only when the need arises and not before. But as a starting point, here are a few tools you should be using regardless of the complexity of your application.
A few good examples are CircleCI, Jenkins, and AWS CodeDeploy. Bear in mind that this will add an additional layer of complexity that everyone will need to know and understand.
Some good examples of configuration management systems are Chef, Puppet, and Ansible. Although there’s nothing wrong with writing plain Bash or Python scripts to achieve the same results.
Each new tool makes your life a little bit easier but also adds an additional layer of complexity. If your source repository goes offline, it could mean that your CI system would stop working or your Ansible playbooks are now out of your reach. So don’t take these tools lightly.
The biggest challenge towards automation has always been human nature, also known as ‘transition cost’. A good example of this was the introduction of the autopilot feature in airplanes. The autopilot was not perfect initially, and it still requires human intervention quite a bit. But it also allowed humans to be more careless, more imprecise. The problem is exacerbated further if are not aware of the workings of the automation. A lot of airplane incidents have occurred precisely because autopilots behaved how they are supposed to, but the pilots labored under wrong assumptions.
The transition phase is the part where computers are slowly doing more and more of our work for us, but still, require a little bit of human intervention. In the world of the DevOps guide, this is not a phase, in this world, the humans are always going to be in the loop, or at least in the final analysis of the things. At the same time, we will always be adding more and more of automation, a kind of meta-automation to push IT forward. Not doing that would be similar to not eating fruits from your own garden. It would be folly.
DevOps guide places itself at this very frontier of transition. It is, definitionally, the place where we tentatively let our fragile, nascent software go out in the wild, but at the same time monitor and nurture it, and in turn, learn from its failings in the wild.
The challenges that a DevOps mindset addresses are asymptotic. There is an ever-receding end towards which it aims, and though the end may very well be out of our reach, the journey in and of itself is not devoid of merits.
Adopting the DevOps culture is important if you want to maintain that competitive edge in the free market. If done improperly, it can make things go from bad to worse. Moving to a cloud-native environment, with lots of moving parts can be daunting for startups and old school players alike. We can help you with this transition. ClickIT can handle the transition towards the Cloud in a way that is beneficial to your business without you having to worry about any of it.
Feel free to reach out to us, to know more.
As the IT industry grew, DevOps appeared as a software engineering culture encouraging developers to know more about the natural world, as a methodology that implements cloud-based tools and DevOps best practices that automate, optimize, and monitor the entire Software Development life cycle. It enables the operators to learn more about software development. It is the conjunction of Development and Operations working together over the app infrastructure.
DevOps is a set of practices, tools, and cultural philosophies with the aim of delivering applications faster and better, through the usage of cutting-edge technology in the cloud and allows to transform business operations and brings a culture change across the organization.
The DevOps mentality encourages members to communicate more freely; they are empathetic about the complications and troubles that people from related departments face
When developers are aware of the environment in which their code will run, they optimize the code accordingly.If the Ops team notices a certain bug creeps up repeatedly, they can add it as one of the tests in the test suite used by the developers and this helps reduce friction, save time and result in better products overall.
For DevOps, you need to know how to use a few tools, such as Git and Remote Repository, which can take the version control and host it on the cloud using services like GitHub, AWS CodeCommit, BitBucket, or GitLab.
Once you have version control, you can take it a step further and use CircleCI, Jenkins, or AWS CodeDeploy.
For Configuration management systems, Chef, Puppet, and Ansible are helpful, and you can also write plain Bash or Python scripts to achieve the same results.
There are a few essential practices to consider when trying to adopt the DevOps model. Such as responsibility, DevOps means greater freedom for the individual; however, with this freedom comes additional responsibility, and so does the level of competence expected from you.
Also, the practice of continuous Integration pushes changes to a central repository, and sets of automated tests validating that the entire app works correctly after the merge.
Continuous Delivery will give your product a competitive edge.
Mistakes are in production, and the only way to monitor them is to make your code more observable.Observability and Debugging ought to be first class citizens when it comes to DevOps.
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