Operations | Monitoring | ITSM | DevOps | Cloud

To start securely and efficiently, Linux systems follow a carefully orchestrated sequence of steps to initialize firmware and manage services. Applying security patches to the software responsible for some of these early steps of Linux startup often requires a full system reboot.

New IDC study, co-sponsored by Canonical and Google Cloud, reveals the challenges and opportunities for organizations securing their software supply chains. Today, Canonical and Google Cloud released findings from a joint research project conducted by the International Data Corporation (IDC) that sheds light on the critical challenges organizations face in securing their software supply chains. The report, “The State of Software Supply Chains.

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?

Sometimes Query Optimizers are seen as a sort of black magic, “the most challenging problem in computer science,” according to Father Pavlo, or some behind-the-scenes player. We believe this perception is because: However, Query Optimizers are no more complicated in theory or practice than other parts of a database system, as we will argue in a series of posts: Part 1: Part 2: After reading these blogs, we hope people will use DataFusion to.

Resource exhaustion at a node remains a critical issue. However, the automation of deployment and management of containerized applications is executed relatively efficiently in Kubernetes. When a node is low on resources—as in CPU, memory, or storage—a workload may suffer from failures, degraded performance, and eviction.

You're likely well aware of how damaging network downtime can be to an enterprise's revenue, reputation, and overall operational efficiency. But what if you could spot potential issues before they turn into major problems? That's how Simple Network Management Protocol (SNMP) traps help enterprises stay ahead of failures and keep networks running smoothly. SNMP traps are an essential tool for network observability in enterprises looking to maximize uptime, optimize costs, and enhance resilience.

Recently, Logz.io co-founder and CTO Asaf Yigal teamed up with DevOps legend John Willis for an engaging webinar exploring the exciting—and occasionally intimidating—world of Shadow AI and the “tech debt tsunami” on the horizon. This lively session dove into how generative AI (GenAI) is reshaping software development, DevOps practices, and infrastructure management, along with some friendly advice on how organizations can navigate these changes without getting swept away.

Software development is changing fast, and here at GitKraken, we’re excited to be at the forefront. We’re entering a new era—one where AI is helping developers rather than trying to replace them. Our goal is to put that power to work for developers—embedded in your workflows, on your terms. We’ve been listening closely to feedback from our community—developers, team leads, engineering managers, and our enterprise customers.

Kubernetes autoscalers like Cluster Autoscaler (CAS) and Karpenter have evolved significantly to manage the sprawling Kubernetes ecosystem, which has grown far beyond a simple container orchestration platform to include a vast array of add-ons, operators, CRDs, and third-party integrations. These autoscalers play a crucial role in ensuring K8s workloads get the resources they need, precisely when they need them, without creating excess and waste.

In today’s world of globally distributed applications, user experience is everything. Whether your platform runs across multiple cloud providers or uses a Multi CDN with numerous points of presence (PoPs), efficiently routing user traffic can make or break performance. That's where intelligent traffic steering becomes not just a nice-to-have, but a must-have.