Operations | Monitoring | ITSM | DevOps | Cloud

Recently, I have seen a trend of enterprises moving toward OpenTelemetry (OTel) for application tracing. Tail sampling, in particular, has emerged as a preferred approach to gain actionable insights while balancing data volume and cost. OpenTelemetry offers developers and practitioners the ability to instrument their code with open-source tools, moving away from vendor-provided tools for application instrumentation.

Lessons from the front lines: Moving to observability maturity What separates the observability experts from the novices? It's a question that's been on my mind lately, especially after diving into our recent 2024 State of Observability Survey of over 500 practitioners. In my past roles as a DevOps engineer and a site reliability engineer (SRE), I've seen firsthand how a mature observability practice can be the difference between sleepless nights and smooth sailing.

In the world of security, being able to use system telemetry of Windows hosts opens new possibilities for monitoring, troubleshooting, and securing IT environments. Recognizing this, Elastic has introduced new capabilities focused on Event Tracing for Windows (ETW) — a powerful Windows-native mechanism for capturing a vast array of system and application events. With these new additions, Elastic users can capture, analyze, and visualize Windows telemetry using the Elastic Search AI Platform.

In a Kafka setup, high availability isn’t just nice to have—it’s a lifeline. Downtime, data loss, or hiccups in message flow can make or break critical applications. Let’s be real: setting up Kafka brokers to be resilient takes some fine-tuning, but it’s absolutely worth it. Imagine dealing with failovers smoothly or knowing your data is protected even if a broker goes down—this is what configuring for resilience is all about.

If you’re an experienced engineer, you likely have comprehensive observability and monitoring set up for your production systems. So if issues arise, you’re empowered to resolve them quickly. Yet, there are way too many systems out there, especially smaller and simpler ones, which are running with only rudimentary observability systems, or no observability at all. This means when an application goes down or starts to perform poorly, it may be very hard to pinpoint and resolve the issue.

We can all agree that visibility into resource usage is crucial for optimizing performance and managing costs to drive your business — especially in today’s cloud-driven world. MyJFrog is a comprehensive management portal for overseeing JFrog cloud platform instances and subscriptions. It provides a centralized control tower to manage and monitor subscriptions, resources, and usage.

Over the past 25 years, I’ve been privileged to help businesses navigate some of the most significant shifts in technology. At Salesforce, I saw the cloud revolutionize how businesses adopt and scale software. At Slack, we reimagined collaboration by bringing connection and emotion into the workplace.

A deep dive on different metric types in Prometheus and best practices.

Choosing the right API monitoring tool is critical. How do you know which is the right API monitoring tool for you? Here are the top 17 API monitoring tools, including open source tools for API performance monitoring. In this article, we will review the top 17 API monitoring tools which you can use for monitoring your APIs. But first, let’s have a brief overview of APIs.

If you're looking for an open-source alternative to New Relic, then you're at the right place. SigNoz is a perfect open-source alternative to New Relic. SigNoz provides a unified UI for metrics, traces and logs with advanced tagging and filtering capabilities. In today's digital economy, more and more companies are shifting to cloud-native and microservice architecture to support global scale and distributed teams.