Operations | Monitoring | ITSM | DevOps | Cloud

Master Prometheus remote write optimization. Learn queue tuning, cardinality management, and relabeling strategies to scale your monitoring infrastructure efficiently.

How to identify root spans in OpenTelemetry Collector using filter and transform processors.

Splunk and Dynatrace are popular monitoring tools widely used by businesses for tracking and monitoring data. Dynatrace is different from Splunk as it provides full-stack observability with AI-driven root cause analysis for applications, infrastructure, and user experience, while Splunk focuses primarily on log management and data analysis. Splunk can also be used for monitoring, including infrastructure monitoring, application performance monitoring, server monitoring, and continuous monitoring.

It’s day 1 of SigNoz Launch Week 2.0, and we’re releasing Ingest Guard, a feature that will help platform and finops teams have granular control over data ingestion and observability costs. At SigNoz, we are constantly evolving to meet the needs of modern engineering teams, and this launch week, we're excited to introduce a highly anticipated feature—Ingest Guard.

High availability is frequently discussed but often misunderstood—especially when dealing with hybrid cloud and mainframe environments. Ensuring high availability in MQ monitoring across these environments requires a comprehensive strategy, careful planning, and sometimes, a bit of trial and error. Below are key strategies to ensure that MQ monitoring is always reliable, no matter where systems are running.

One of the things about OpenTelemetry that’s easy to miss if you’re not spending the whole day in the ins and outs of the project is just how much stuff it can do—but that’s what I’m here for! Today, I want to go through the project and give you a guide to the various parts of OpenTelemetry, how mature they are, and what you can expect over the next six months or so. I ranked these elements by relative maturity across the entire project.

It has taken a while - but it's here. Streamlining the Spectate platform with our new branding. It's faster than ever, looks much, much better (at least we think so ) and is more stable than it has ever been.

The performance monitoring industry has been using the word “observability” to a lot of different ends lately. While the trend towards more visibility into services is a good one, it’s also based on a need we see from customers on a day-to-day basis. The need to take back control of network visibility is strong in the face of complexity that has been rapidly increasing for years.

Microservices architecture has become a dominant approach for building scalable, resilient, and flexible applications. However, monitoring these microservices presents unique challenges due to their distributed nature, fixed or limited resources, enterprise scale, and the dynamic nature of environments, such as Kubernetes clusters. The result is that in-process application agents often introduce significant overhead because they rely on intrusive instrumentation and frequent polling.