Applications fail. Containers crash. It’s a fact of life that SRE and DevOps teams know all too well. To help navigate life’s hiccups, we’ve previously shared how to debug applications running on Google Kubernetes Engine (GKE). We’ve also updated the GKE dashboard with new easier-to-use troubleshooting flows. Today, we go one step further and show you how you can use these flows to quickly find and resolve issues in your applications and infrastructure.

Monitoring systems help DevOps teams detect and solve performance issues faster. With Docker and Kubernetes steadily on the rise, it’s important to get container monitoring and log management right from the start. This is no easy feat. Monitoring Docker containers is very complex. Developing a strategy and building an appropriate monitoring system is not simple at all.

Google Kubernetes Engine (GKE) is the preferred way to run Kubernetes on Google Cloud as it removes the operational overhead of managing the control plane. Earlier today, Google Cloud announced the general availability of GKE Autopilot, which manages your cluster’s entire infrastructure—both the control plane and worker nodes—so that you can spend more time building your applications.

AI and Machine Learning (ML) are key priorities for enterprises, with a recent survey showing that 72% of CIOs expect to be heavy or moderate users of the technology. Unfortunately, other research has found that the vast majority—87%—of AI projects never make it into production. And even those that do often take 90 days or more to get there. Why this disconnect between intent and outcome? What are the roadblocks to enterprise ML? And what can be done about them?

Today, I’m excited to announce the contribution of the sysdig kernel module, eBPF probe, and libraries to the Cloud Native Computing Foundation. The source code of these components will move into the Falco organization and be hosted in the falcosecurity github repository. These components are at the base of Falco, the CNCF tool for runtime security and de facto standard for threat detection in the cloud.

For all the talk of digital transformation, there’s one workflow that tends to hinder release velocity: changes to API routing rules. But while—much to the consternation of enterprise developers everywhere—this process has historically remained stubbornly ticket-based, Spring Cloud Gateway removes this bottleneck. The open source project provides a developer-friendly way to route, secure, and monitor API requests.

In the Modern era of application development, businesses move towards building highly available, fault-tolerant, zero downtime applications to make the user experience and performance smoother and better. One of the essential steps in that process is containerization and orchestration of an application. A Container Monitoring process is as vital as containerizing your application.

Image vulnerability scanning is a critical first line of defense for security with containers and Kubernetes. Today, Red Hat recognized Sysdig as a certified Red Hat security partner based on our work to standardize on Red Hat’s published security data with Sysdig Secure.

Welcome to another monthly update on what’s new from Sysdig. Our team continues to work hard to bring great new features to all of our customers, automatically and for free! We hope you all managed to make it through January, and happy Lunar New Year! February welcomes the launch of our always-popular fourth annual Sysdig Container Security and Usage report, which looks at how global Sysdig customers of all sizes and industries are using and securing container environments.