Operations | Monitoring | ITSM | DevOps | Cloud

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.

Azure Service Bus is a fully managed enterprise message broker that enables asynchronous messaging between distributed applications. It is designed to decouple application components, allowing them to communicate reliably, securely, and at scale. With Datadog’s Azure Service Bus integration, you can.

At Honeycomb, we’re actively growing our design system, Lattice, to ensure accessibility, optimize performance, and establish consistent design patterns across our product. One metric we use to measure Lattice is the adoption of components across the product. Adoption is about understanding how, where, and why they’re being used.

Your business depends on the reliability of the third-party services you use. Monitoring the status pages of these services is the best way of keeping track of their outages and maintenances. Although some status pages let you subscribe to alerts, there is no standard way of doing this. Service providers can change their status page providers, disable subscriptions, or not support the same notification options.

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.

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.

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.

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.

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.