Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Monitor the performance of queues and topics with Azure Service Bus

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.

Enabling Design System Observability Using Honeycomb

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.

Top 6 Reasons Why You Need a Status Page Aggregator

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.

Why Intelligent Traffic Steering is Critical for Performance and Cost Optimization

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.

The Rise of Shadow AI & the Tech Debt Tsunami

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.

How SNMP traps help prevent network failures: A use case analysis

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.

Optimizing Kubernetes node resources: How to avoid exhaustion and improve performance

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.

Optimizing SQL (and DataFrames) in DataFusion: Part 1

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.

Troubleshoot microservice-based apps faster with Splunk Observability Cloud

When something goes wrong with your microservice-based apps, Splunk Observability Cloud offers a unified Observability platform to make debugging processes easier and faster. By using features like the Service Map to identify the cause of the error and Related Logs in Log Observer to pinpoint its location, you can get back up and running quickly, limiting the impact to your bottom line and keeping your customers happy.

Introduction to Private Locations in Splunk Synthetic Monitoring

In this tutorial, we’ll demonstrate how to create and use private locations in Splunk Synthetic Monitoring to test internal or pre-production applications within a Kubernetes environment. You'll learn exactly what private locations and private runners are, common use cases, and step-by-step instructions on how to deploy a private runner using Helm. Finally, you'll see how to set up a simple browser test to run synthetics against a service available only within a Kubernetes cluster.