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System Failure, Now What? A DevOps Guide to Incident Response

DEVOPS & CLOUD
24.7.2025
4
min
DevOps Guide to Incident Response
Contributors
rosina-garagorry
Rosina Garagorry
Cloud & DevOps Studio Leader

When everything goes smoothly, everybody forgets that the system is actually quite a complex ecosystem that can be impacted in different ways: the code that has been released, the cloud infrastructure where it lives, and the users' interaction with the system. However, when the system is down, the quest for a solution begins: where did it fail? Why? Could that have been prevented? And usually, your DevOps team is the one to go. These are some of the most important aspects to consider when detecting an incident and working on it.

Monitor Your System: The Foundation of Proactive DevOps

Real-time monitoring forms the backbone of any robust DevOps strategy. In today's cloud-native environments, where microservices architecture and containerized applications dominate the landscape, comprehensive monitoring isn't just recommended—it's essential for survival. Your monitoring strategy should encompass multiple layers of your technology stack, from infrastructure metrics to application performance indicators.

If your infrastructure is all up and running but your requests are returning error codes, you would rather get notified about it. If your infrastructure has been impacted, either by a zonal, regional or global outage; you should get an alert. If your metrics become spiky, you want to understand what is going on and what triggers that spike. It might be just normal user behaviour just as it could be a security event or a potential  security incident.

That said, this doesn't mean you should get alerted on every single issue and on every single metric. Be wise and choose your battles wisely: select those metrics that are important for you and your system; and design your monitoring and observability strategies depending on your application's system.

Never Forget the Logs

Imagine you have found out that your application is returning errors code, but you don't have any log, any trace on the requests. Just the error code. You've found yourself in a tough spot. Log management and centralized logging are often underestimated until you're in the middle of a production incident. Comprehensive logging serves as your digital forensics toolkit, providing the breadcrumbs necessary to reconstruct what happened during system failures. In distributed systems and microservices environments, correlating logs across multiple services becomes crucial for effective root cause analysis.

When deploying your application, make sure to check your logs every now and then. Are you logging what you want to log? Do the logs correctly represent what is going on in the system? More than once we fall into the error of catching all errors into a 500 error code out of simplicity, which is definitely now that you want to do. Make sure to know your application's expected behaviour and log according to what is expected and what isn't. Add contextual logs in case of errors, use logging libraries to standardize and simplify. You'll be grateful when having to troubleshoot later on.

Prepare for Failure

Just like Benjamin Franklin said (or at least, so they say) "By failing to prepare, you are preparing to fail". Be prepared for failure. Expect it, almost so wish for it. Part of knowing your application is knowing its points of failure (which hopefully, aren't single points of failures). Have a plan on what to do when the system breaks down. Incident response planning separates mature DevOps organizations from those that rely on heroic individual efforts during crises. A well-defined incident management process ensures that teams respond consistently and effectively, regardless of the specific nature of the outage. This will impact on your achievement of your defined SLA and SLOs (if you have them).

Your incident response plan should clearly define escalation procedures and communication protocols. When systems fail, stakeholders across the organization need timely, accurate information about impact and expected resolution timelines. In these circumstances, giving visibility to the stakeholders is the way you have to keep the waters calm and transmit confidence. You know what you have to do, and you're doing it right. And you know you're doing it right because you have already done it before.

Don't Be Afraid of Post Mortems

A smooth sea never made a sailor, and a devops isn't a devops until it has had to deal with an incident in a production environment. Use these situations to learn your weaknesses and work to improve them. A detailed guide on what happened, how it was detected, and how it was solved; will help you see the whole picture and answer the questions mentioned at the beginning of this article. When doing this post mortem ask yourself, what could be improved in a blameless way. Do an incident timeline, clearly define the root cause, determine the actions taken, define what worked, what didn't and share that knowledge with your peers.

Conclusion

Remember, incidents aren't just obstacles—they're opportunities. Every outage teaches you something new about your system, your team, and your processes. The teams that emerge stronger from incidents are those that monitor wisely, log thoroughly, prepare systematically, and learn relentlessly. As they say in DevOps: fail fast, learn faster, and never make the same mistake twice. Your future self (and your users) will thank you for it.

Want to take your DevOps practices to the next level? Discover how our Cloud & DevOps Studio can help you build more resilient, scalable, and secure systems.