k8sgpt.ai

At Amazon, I experienced first-hand the power of rapid adaptation. We didn't just fly the plane; we rebuilt it mid-flight when customer insights revealed a better course. This agility, driven by both data and direct customer feedback, allowed us to transform amorphous capabilities into tangible service improvements. Sometimes, the most valuable telemetry comes directly from the customer's voice

Here is a glimpse of AI operated Kubernetes. k8sgpt.ai ability to fix broken deployments dynamically.

I cannot wait to bring this talk to the audience. Join me as we reveal the first look at k8sgpt.ai self-healing auto remediation. ???? It's all about to change forever.

?? Integrating K8sGPT Operator with Prometheus and Grafana for Enhanced Observability?? If you’re working with Kubernetes, you know how challenging it can be to keep a clear view of what’s really happening inside your cluster. Today, I’d like to share how you can create a smarter, more proactive observability stack using three powerful components: the K8sGPT Operator, Prometheus, and Grafana. ? Why This Matters As your Kubernetes footprint grows, so does the complexity of managing it. Traditional monitoring tools can tell you when something goes wrong, but they often don’t explain why. That’s where the K8sGPT Operator steps in. It leverages AI-driven diagnostics to surface insights and patterns that would otherwise be missed. By pairing it with Prometheus for metrics collection and Grafana for visual dashboards, you get a holistic, real-time understanding of both the current state and the trends inside your environment. ? What You’ll Need 1?? A Kubernetes Cluster: Your application playground and the foundation for this entire setup. 2?? Helm: Think of Helm as your Kubernetes package manager 3?? Prometheus: The metrics workhorse that collects data of your cluster. 4?? Grafana: Your visualization powerhouse, transforming raw data into actionable dashboards. ? Step-by-Step Setup 1?? Install Prometheus: Start by deploying the kube-prometheus-stack. In few minutes, you’ll have a metrics platform running, capturing everything from CPU usage to node health. 2?? Deploy the K8sGPT Operator: Using Helm, install the operator that looks into the Kubernetes API, runs diagnostics, and generates AI-driven analysis. 3?? Configure Your Secrets & CRDs: Set up your OpenAI API keys for K8sGPT and define the scope of analysis using Kubernetes Custom Resource Definitions. This ensures the operator knows exactly what to keep an eye on. Integrate with Grafana: ? What’s the End Result? 1?? Proactive Troubleshooting: Instead of reacting to incidents after the fact, you can now prevent them. 2?? Deeper Insights: Get explanations and root causes, not just error counts. 3?? Faster Decision-Making: Armed with meaningful data, your team can address issues quickly, tune performance, and confidently push changes. ?? Bottom Line This trio—K8sGPT, Prometheus, and Grafana—forms a complete toolkit to transform how you observe, understand, and improve your Kubernetes environment. #Kubernetes #Observability #Prometheus #Grafana #K8sGPT #DevOps #CloudNative Alex Jones #k8sgpt

Contributors are the lifeblood of opensource. I am grateful for every commit we receive.

I’m excited to present k8sgpt.ai at Warner Bros. Discovery next month, where we’ll explore how GenAI is already being adopted to enhance Kubernetes cluster triage. While we’re still in the early stages of this transformative journey, we’re already seeing significant progress in the way organizations are leveraging these technologies.

Requests for extending k8sgpt.ai analyzers & linking into other systems have been answered. I am delighted to share we are bringing custom analysers into general availability. Here is a quick tutorial I put together over the weekend to help you get started writing custom analyzers, bringing rich new information to your Kubernetes diagnostics process. Whether ticket data, host disk space or network conditions; now you can see the full picture! ?? https://lnkd.in/eUaMtYT7

I've just published a new blog post about k8sgpt.ai which is a Cloud Native Computing Foundation (CNCF) Sandbox Project and I also want to thank Alex Jones for the feedback and the help! ?? You can check out the blog from here ?? #Kubernetes #AI #CloudNative https://lnkd.in/gQdpKpq9

I am closing in on one year at AWS (Amazon) and feeling suitably nostalgic, which presents an opportunity to reflect on the three things that have had an outsized influence on helping me grow and be successful. ? Leaders care. An enormous amount of planning, discussion, and thoughtful conversations go on behind the scenes of day-to-day life at AWS. Leaders wake up thinking about how they can connect you to the details, help you grow, and give you the right opportunities to succeed. ? A community of engineers. The Principal Engineering community at Amazon is well-known in the wider industry. From Principal Engineers to Distinguished Vice Presidents of popular programming languages, everyone contributes to discussions, operational excellence, and solving ultra-large-scale technological challenges. This community is a metaphorical anchor, underpinning Amazon's engineering prowess. ? Leadership principles. These are unequivocally the superpower behind the culture and rapid innovation at Amazon. This set of characteristics, behaviors, and axioms are cultivated in every Amazonian and have been the driving force behind the company's success. Whilst this is not an exhaustive list, they are top of my mind. Who knows what I'll have accumulated to add next year. As we say, it's always day one... ??

1 year in the making, all thanks to you folks! As part of our 1 year anniversary, we'd like to share our latest K8sGPT-Operator with Native Bedrock support!?https://lnkd.in/exx3SinZ