Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring a Kubernetes cluster isn’t just about keeping an eye on CPU and memory usage. It’s about understanding system health, detecting anomalies before they cause outages, and ensuring applications run smoothly. With so many tools available, choosing the right one can feel overwhelming. This guide covers the best Kubernetes monitoring tools, their use cases, and key factors to consider.

As cyber threats grow in sophistication and frequency, organizations worldwide are grappling with the challenge of safeguarding their systems and data while maintaining operational continuity. Cyber resilience, the ability to prepare for, respond to, and recover from cyber incidents, is no longer just a competitive advantage…it’s a critical necessity.

The Kosli CLI provides several attest commands, such as kosli attest snyk, kosli attest jira, etc. These attestations are “typed” - each one knows how to interpret its own particular kind of input. For example, kosli attest snyk interprets the sarif file produced by a snyk container scan to determine the true/false value for that individual attestation.

Many companies migrate to the cloud and overlook costs in favor of innovation, speed, and flexibility. They assume that the cloud is inherently more cost-effective than on-premises infrastructure. However, the organizations soon realize that the same characteristics that make the cloud such an enticing and flexible resource can also lead to unexpectedly higher usage bills than expected. The challenge is to find the right balance between optimal system performance, engineering velocity, and cost.

In our last blog post we talked about how you can use Intel QAT with Canonical Ceph, today we’ll cover why this technology is important from a business perspective – in other words, we’re talking data storage costs. Retaining and protecting data has an inherent cost based on the underlying architecture of the system used to store it.

So, you’ve got a PostgreSQL database packed with juicy data, and you want to turn those raw numbers into slick, interactive Grafana dashboards? Good call! Grafana’s PostgreSQL datasource is like the secret handshake that lets you visualize your data in style—no extra ETL magic required. In this guide, we’ll walk through getting PostgreSQL and Grafana to play nice, covering everything from connection settings to query tuning.