Operations | Monitoring | ITSM | DevOps | Cloud

In backend engineering, many days follow a familiar rhythm: coffee, code reviews, maybe deploying a new feature. But occasionally, the routine is interrupted by a message that signals a different kind of challenge, like a Slack notification from the security team: “Hey, we’ve identified a potential issue. Need to sync up.” This post details one such instance—our journey addressing CVE-2024-21626, a privilege escalation vulnerability reported in Rancher.

When your Docker container isn't behaving the way you expect, you need to get inside and see what's going on. Maybe your app is throwing errors, a service won't start, or you just need to check some configuration files. Getting into a running Docker container is simpler than you might think, but there are several ways to do it depending on your situation. This guide shows you exactly how to log into Docker containers, troubleshoot common issues, and debug your applications effectively.

With all the rapid advancements in machine learning and AI, it can feel like we’re constantly playing catch-up. Over the last two Civo Navigate conferences, Berlin 2024 and San Francisco 2025, Civo brought together leading experts to discuss the future of AI, machine learning, and the growing challenges and opportunities for developers and businesses.

In the ever-growing ecosystem of infrastructure and software development, where tools like Kubernetes introduce complexity and hyperscalers welcome sprawl, it's more important to have your SDLC buttoned up and as efficient as possible. CI/CD, one of Cycle's noble sidekicks, is important in kicking off the SDLC, and having a tool that gets the job done without introducing extra complexity or constraint is paramount.

Bridging the gap between cloud agility and bare metal performance has always been a delicate dance of stakeholder priorities, time, and money. From the beginning, Cycle set out to be one of the best Kubernetes alternatives. We empower users, giving them autonomy to make crucial infrastructure decisions, instead of locking them into the control of hyperscalars or getting lost in bloated ecosystems.

If you’re working with containers, SBOMs or any kind of vulnerability scan, you know the drill. Every scan lights up like a Christmas tree. Critical, high, medium and low vulnerabilities. It feels that the list will always go on. The goal is always zero CVEs. And while that sounds great, it’s not realistic. They come at such a high pace, and sometimes they are really hard to resolve. Teams are spending time chasing vulnerabilities that don’t matter.

If you’ve worked with Kubernetes, you know logs are essential for understanding what’s happening inside your clusters. However, unlike traditional servers, Kubernetes logs present their unique challenges. Pods frequently start and stop, containers restart regularly, and logs stored locally can be lost quickly. Because of this, managing logs in Kubernetes requires a different approach.

You’ve probably run a lot of Docker containers, but do you know what happens behind the scenes? The Docker container lifecycle is the path a container follows from being created to running, stopping, and finally getting removed. Understanding these steps helps you figure out why a container might not start or when to restart it instead of creating a new one.