Operations | Monitoring | ITSM | DevOps | Cloud

More often than not, Kubernetes is behaving as it should: fast, agile and scalable. But what happens when K8s misbehaves? Do the responders have the right tools to deal with the situation? Or are they just part of an escalation chain that always leads to the same small group of experts? Meet Bitso, a billion-dollar company and the largest crypto platform in Latin America, which has mastered the shift-left approach and empowered its dev team to troubleshoot K8s independently.

Using Kubernetes for orchestration? Great—we hope things are running smoothly. The thing about Kubernetes, though, is that it tends to surprise you—throwing curveballs just when you think you've finally mastered the art of container management. And those curveballs usually come at you when you try to scale up. So, how can you scale K8s without striking out due to speed and reliability (not to mention sanity) issues?

Komodor is by devs for devs, so we couldn’t be more grateful to get the thumbs up from the Kubernetes dev community!

You can’t build a CI/CD pipeline and support fast-paced development cycles without considering continuous reliability. On the one hand, this means being rehearsed and prepared for every scenario. On the other, this calls for a contingency plan for when (inevitably) something will go wrong. Join this live event and see how DevOps tools can help you plan for the best and prepare for the worst, as Julie from Gremlin injects chaos into the Bank of Anthos’ system and Rona from Komodor troubleshoots things back into order.

Kubernetes is eating the world...at least the world of modern software engineering. Besides their applications, most businesses consider their data as the holy grail. It is key to the value they deliver. As they progress through application modernization, Kubernetes is the natural foundation to support their effort. But where should the data go? Is Kubernetes safe enough to take care of it? How to prepare for DB related incidents in an everchanging environment?

As more organizations transition to cloud-native applications in the enterprise, Kubernetes and its APIs are laying the foundation for a next era of distributed computing. But despite its growing adoption in the enterprise, Kubernetes remains complex to implement and manage effectively. This topic spotlight highlights the most common challenges of Kubernetes in the enterprise and offers up some recommendations on how to make Kubernetes adoption smooth and effective to drive productivity and business value.

Komodor's CTO Itiel Shwartz & Jfrog's head of dev advocacy, Baruch Sagodorovski debate DevOps tools and Kubernetes troubleshooting.

Meet "Workflow" from Komodor, the feature that automates troubleshooting common errors in Kubernetes. Leveraging Komodor’s change intelligence capabilities, Workflow's smart algorithm automatically detects Kubernetes issues and responds with a series of checks that quickly pinpoint its root cause. Not stopping there, Komodor uses the information to provide made-to-measure instruction for remediation, turning troubleshooting into a fast and effortless experience for dev and ops.

Komodor is disrupting how modern teams troubleshoot Kubernetes. Listen to the founders Ben Ofiri and Itiel Shwartz and learn more about the missing piece in your DevOps toolchain.

Kubernetes is agile, flexible and scalable. It is also complex, with a multitude of moving parts on and underneath the surface. When things go wrong, as they always (eventually) do, understanding what caused the problem could be stressful and time-consuming. But does it have to be? Join Mickael Alliel, DevOps engineer at Komodor, as he deep-dives into.