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Microtica

7 DevOps Myths – Busted

saramiteva profile image Sara Miteva Updated on ・4 min read

There are plenty of DevOps myths circulating the developers’ community. This is no surprise, considering how much excitement the DevOps concept has brought over the recent years.

The DevOps methodology can provide significant positive effects for organizations when implemented properly. It can lower costs, boost efficiency, and make the work of development teams more streamlined.

However, in order to grasp the strength of this process, it is necessary to recognize what DevOps represents. That’s why, in this article, we address some of the most popular DevOps myths.

Myth 1: DevOps is all about CI/CD

One of the biggest misconceptions about DevOps is that it’s the same thing as CI/CD. The truth is that continuous integration and delivery are the key components of DevOps.

DevOps focuses on the culture and responsibility in a team. It emphasizes the need for everyone on the team to take part in each other’s tasks. This improves collaboration and communication in the team.

On the other hand, CI/CD enables this culture with software and tools that emphasize automation. You can see them as a means to an end.

Myth 2: DevOps means NoOps

NoOps describes the concept where the cloud infrastructure is so automated, that there is no need to manage it.

NoOps is considered as the next evolution of DevOps as a development model. Just like DevOps, its goal is to improve software delivery, but by allowing developers to focus on application development instead of infrastructure and maintenance.

By using machine learning and artificial intelligence, you can automate the setup, deployment, and monitoring processes, getting closer to NoOps.

Myth 3: Automation eliminates all bottlenecks

Automation is one of the biggest benefits that DevOps provides. But it’s not a silver bullet that will solve all your problems.

A continuous delivery process enables teams to roll out new features quickly. And, get the feedback they need really fast. This, of course, means that you have to ensure the product’s quality. Moreover, you have to take care of how well it runs and its performance when scaling. You also need to ensure smooth production deployments.

Automating your CI/CD pipelines helps eliminate the bottlenecks between code commit and deploy. But, this is just one stage of the software delivery process. Unless developers and testers are in a partnership, you won’t be able to resolve all your problems. It’s likely that you’ll only move any bottlenecks to another stream.

Myth 4: One-size-fits-all continuous delivery pipeline

The idea that you can have one process that fits all teams and companies is impossible, contrary to popular belief. Every organization has different needs and requirements. Even projects in the same organization need different continuous delivery pipelines.

You can have projects that need only two to three environments. For example, development, test, and production environments with frequent deployments. Another project can require more environments since it has multiple stages in the software delivery cycle.

This is why the continuous delivery pipeline should represent the release process that the company is already using.

Myth 5: DevOps is all about tools

Conversations about DevOps are mostly focused around which tools your company is using. They then turn into philosophical battles about what are the best tools. Instead, we should be communicating about the bigger picture, the business value DevOps brings to your company.

DevOps means focusing on culture, mindset, and how individuals work together. Only after should you be choosing the right tools for your processes. Teams often look in the large ecosystem of tools trying to find the perfect solution at the beginnings. They build DevOps pipelines for a very long time, that should be redone once completed.

An Atlassian research showed that the two main factors to implement DevOps successfully are the right tools and the right people.

DevOps automation tools like Microtica allow you to create pipelines and test them in hours. With these kinds of tools, you can save months of work on pipelines that might not function.

Myth 6: Software release is the same as in Amazon/Facebook/Google

Many world-leading companies have adopted DevOps for its benefits and flexibility. Looking at these company’s success stories, we, of course, look up to their achievements. We do this without realizing their context and the steps they made to become that successful.

One thing is for sure – these organizations chose and built the tools and processes that worked best for them at the time. This doesn’t necessarily mean that we need to follow these organizations. Moreover, what they did won’t magically work for our business as well.

We should learn from them and find new ways to innovate and grow. Explore and find the right processes and tools that define our problem space. What will bring success to our particular business? This is what DevOps is all about.

Myth 7: Release all the time

The idea of frequent releases has companies worried about not releasing their software continuously enough. “Ship often” has become the industry standard. However, this doesn’t specify the time. It may be every two to three weeks, or it may be several times a day.

The most important thing is that you achieve the team confidence that enables you to release new software when required. CD is the ability to release code from the main branch and feel confident in it. The idea of DevOps is that your code should be releasable anytime.

So remember, continuous delivery doesn’t mean you should release as often as you can but gives you the ability to release as often as you want. How often should be up to your company’s decision.

Wrapping up

We hope this article helped you bust some of the most popular DevOps myths that swirl around. Don’t let such misunderstandings hinder the progress of your team. Implementing DevOps can help your company improve productivity and create better products, so don’t miss out on these benefits due to these DevOps myths.

Posted on by:

saramiteva profile

Sara Miteva

@saramiteva

A mix of marketing & development. www.microtica.com

Discussion

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This is such an informative post!

Couldn't agree more on points no. 1, 5, and 6. Have personally been around people who think DevOps = CI/CD (it's just a method to build, test, and release software) and is solely about the tools rather than whether it actually solves a problem. Emulating everything bigger tech companies do won't necessarily help unless the use-cases are similar.

Adding some more points that could qualify as myths

  • DevOps is only about Cloud.
  • If you're not running in Containers/Kubernetes, you're not doing it right.
 

Great points, thanks Vinay :)

 

Great dissection! The thing about bottlenecks is that there is always a bottleneck. Removing one bottleneck reveals the next, so after making a process improvement it's important to see where the bottlenecks have moved. That reveals you next target for DevOps improvements.

 

I totally agree Adam, thanks for the comment :)

 

Rightly said, a list of them should be a good way to plot a roadmap for the DevOps practice in any company.

 

To bust myths it would require that a clear definition of DevOps exits. But when I recap the last ten years, the technology/ definition of DevOps has completely changed from the early beginnings till now (for example CI/ CD was not part of DevOps in the beginning at all). So it’s more about the definition of what DevOps currently is before myths around it could be busted ...

 

Nice article, but from this writing it is still not clear what DevOp is exactly? I was looking for a definition before one trying to clear up myths. Saying that "using machine learning and artificial intelligence, you can automate the setup, deployment, and monitoring processes" is more like creating myths than clearing it up. Now ML and AI is part of DevOP? Another Myth LOL...
I am an ML engineer and it has not much to do with automate this kind of setup...

 

This sentence doesn’t state that ML and AI are part of DevOps, but simply that implementing ML and AI can help DevOps practices get closer to NoOps :)

 

Hey, sorry for a reply to a month-old post. Just wanted to say Thanks for your write-up. I'm currently putting together some information for some of the bosses at our company: "What should we change about our 'DevOps' initiative?"

I've worked on it for a few days; in its current state it touches on some of the major points you hit as well.

I'm going to reference your post along side a few others as sources.

You had me at #6. Good stuff.

 
 

Geat article. A PaaS is good step towards NoOps. NoOps is worth striving for as Ops is a big drain on developer productity no mater what tooling/tools are used.

 

A good post. Thank you for sharing the knowledge. The 1st point is really apt and on top of the list :)

 

Thanks :)

 

Thanks for the post Sara!

 

Well stated Sara, if you don't mind I am going to use this article going forward to help explain some of the issue and myths around Devops to clients.

Thank you.

 

Thanks Benjamin, feel free to use it :)