Operations | Monitoring | ITSM | DevOps | Cloud

We’re excited to announce Kubesleep, a smart Kubernetes operator developed by SUSE that optimizes cluster efficiency and significantly reduces infrastructure costs. Kubesleep automatically scales workloads based on actual developer activity, intelligently detecting periods of inactivity and scaling down resources to save energy and expenses. Best of all, your clusters smoothly scale back up before developers even notice.

This in-depth analysis examines PagerDuty’s pricing structure for 2025, going far beyond the advertised rates to uncover the true total cost of ownership. We break down the additional fees, essential add-ons, implementation timelines, and ongoing maintenance costs that most organizations discover only after committing.

In March 2025, Wiz researchers disclosed a set of critical vulnerabilities in the popular ingress-nginx controller for Kubernetes. Collectively referred to as IngressNightmare, these issues (CVE-2025-1097, CVE-2025-1098, CVE-2025-24513, CVE-2025-24514, and CVE-2025-1974) allow unauthenticated attackers to exploit the Ingress admission controller, potentially achieving remote code execution or escalating privileges in the cluster.

Atlassian recently dropped a bombshell: OpsGenie is shutting down. If you’re an OpsGenie user, this news probably hit hard. After investing time setting up your alerts, configuring oncall schedules, and training your team on OpsGenie, you’re now faced with finding and migrating to a new incident management solution. We understand the frustration and uncertainty you’re feeling right now. The reactions on Hacker News show you’re not alone in this challenge: Take a deep breath.

Bare metal is BACK! For years virtualization has absolutely dominated the cloud market. The market for virtualization is still 10x larger than bare metal ($8B USD vs$100B USD). But now consumers are demanding MORE for their workloads. … and the signal from the data suggest that this trend isn't going away anytime soon. If we look a bit deeper, we might see another story enabling the avalanche of (re) adoption in bare metal.

Imagine spending weeks grinding through SQL tutorials, practicing syntax, and refining your queries in your spare time. But when the interviewer throws a complex JOIN + subquery at you, your brain suddenly hits a 404. It happens to the best of us. However, most candidates crash and burn—not because they lack knowledge, but because they prepare like students instead of engineers. They memorize syntax, pray for predictable questions, and freeze the moment they’re asked to think, not recite.

Without SQL aggregate functions, databases would be nothing more than glorified spreadsheets. These functions—SUM(), COUNT(), AVG(), MIN(), and MAX() —do the heavy lifting in analytics. They process massive datasets, transforming scattered records into clear, usable insights that drive decision-making. But while aggregation simplifies data, it can also slow things down.

You can assess your company’s financial health using a number of SaaS metrics, depending on the type of business you are in. Among the most useful is the SaaS Magic Number. So, why is it called the SaaS Magic Number, and how do you calculate it? And why is it so important to track your SaaS Magic Number regularly?