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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Back to the Metal

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.

Ending the IngressNightmare: How SUSE Secures Your Kubernetes Clusters from External and Internal Threats

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.

SUSE and RKE2 are introducing KubeSleep: Smart Kubernetes Scaling Based on Developer Inactivity

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.

SQL Aggregate Functions: Syntax, Use Cases, And Examples

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.

Top 100 SQL Interview Questions and Answers for Every Skill Level

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.
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Bunnyshell: The Best Qovery Alternative for Modern Cloud Deployment

When it comes to automating DevOps processes and managing cloud environments, both Bunnyshell and Qovery have gained significant traction. While both platforms provide multi-cloud deployment, automation, and developer-friendly interfaces, there are key differences between the two. Bunnyshell offers several advanced features that make it a standout alternative to Qovery, particularly for teams seeking more control, flexibility, and efficiency in managing their cloud environments.

Ultimate Guide to Server Hardening for Kamal

Server hardening is securing a server by reducing its surface of vulnerability. This means minimizing the number of potential entry points for attackers by disabling unnecessary services, applying patches, and enforcing strong security controls. If you use Kamal to deploy applications but you must harden your servers yourself. This is a guide on the steps to take to have a secure server. The Basics of Server Security: Patch often and restart often. Patching helps with fixing known vulnerabilities.

GitKraken Desktop Release 11.0: GitKraken AI

In this release, GitKraken evolves into your development co-pilot with new AI features designed to save time and reduce toil. Learn how to use AI-generated commit explanations, commit message generation, and how to customize your AI model settings with OpenAI, Anthropic, or Gemini—all included with your subscription.

Introducing the "retry" step failure strategy for Bitbucket Pipelines

Recently we introduced support for Failure Strategies, which allows developers to implement more powerful logic and control flow into their workflows. Today, we are excited to announce a new step failure strategy, retry, which can auto-retry your failed steps without requiring any input from the user.

Enrich your existing Datadog telemetry with custom metadata using Reference Tables

As your applications scale and generate more telemetry, it becomes increasingly difficult to sift through the data and analyze it against cost, business functions, and security measures. Logs, events, and other telemetry on their own may not include enough meaningful context or readable details, leading to slower troubleshooting, inefficient business processes, and higher costs.