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StackState

eBPF: Revolutionizing Observability for DevOps and SRE Teams

Whether you're a system administrator, a developer, or any other DevOps or Site Reliability Engineering (SRE) professional, you know that staying ahead in cloud-native computing is crucial. One way to keep your competitive edge in the technology game is to embrace the benefits of eBPF (Extended Berkeley Packet Filter). On top of advances in security and networking, eBPF-based tools are particularly impacting the observability landscape.

The Last Mile of Observability - Fine-Tuning Notifications for More Timely Alerts

No one wants to get an alert in the middle of the night. No one wants their Slack flooded to the point of opting out from channels. And indeed, no one wants an urgent alert to be ignored, spiraling into an outage. Getting the right alert to the right person through the right channel — with the goal of initiating immediate action — is the last mile of observability.

Harmony in Chaos: Uniting Team Autonomy with End-to-End Observability for Business Success

Imagine a symphony where every musician plays their part flawlessly, but without a conductor to guide the orchestra, the result is just a discordant mess. Now apply that image to the modern IT landscape, where development and operations teams work with remarkable autonomy, each expertly playing their part. Agile methodologies and DevOps practices have empowered teams to build and manage their services independently, resulting in an environment that accelerates innovation and development.

6 Ways to Benefit from the SUSE StackState Integration

With the recent integration between SUSE and StackState, SUSE customers will benefit from the enhanced observability StackState offers for their applications running on SUSE’s diverse Kubernetes distributions. As businesses increasingly rely on Kubernetes, ensuring the stability and performance of applications becomes of great importance.

Multi-Cluster Observability Part 3: Practical Tips for Operational Success

This is the final article of a three-part series. To start at the beginning, read Part 1: Benefiting from multi-cluster setups requires familiarity with common variations and Part 2: Exploring the facets of a multi-cluster observability strategy. As companies scale software production, they lean on Kubernetes as a crucial container orchestration platform for managing, deploying and ensuring software availability.

Multi-Cluster Observability Part 2: Developing The Right Strategy

This is the second of a three-part blog series. Prior to reading this, be sure to check out Part 1, Benefiting from multi-cluster setups requires familiarity with common variations. In your Kubernetes journey, it's highly likely that you'll encounter the need to manage multiple clusters simultaneously.

Multi-Cluster Observability Part 1: Building A Foundation

In the world of modern Kubernetes, things have come a long way from the days of a single cluster handling one app. Now, it's common to see setups that span multiple clusters across different clouds. Initially, managing those clusters was a complicated operation with many moving parts. Using tools such as SUSE Rancher, RedHat OpenShift or AWS EKS, made managing multiple clusters somewhat easier.

Transform Your Kubernetes Troubleshooting With Powerful Data Correlations

As developers and engineers, we're all too familiar with the manual labor of connecting disparate data points—metrics, logs, events and resource status. We're also familiar with a continual need to simplify and unify these elements into a seamless troubleshooting experience. This on-demand webinar looks at how data correlation approach provides a holistic view of complex system interactions and can move you from issue awareness to full resolution without juggling different tools or performing mental gymnastics. All on a single dashboard!