Senser blog

The pros and cons of open source vs. commercial observability solutions – and the limitations of both.

Explore the 4 critical components powering the next generation of AIOps.

ML has the potential to revolutionize root cause analysis by mimicking and enhancing human diagnostic capabilities at machine scale. But genuine breakthroughs require overcoming significant data,..

Traditional monitoring tools detect problems, but cannot trace causality across interconnected infrastructure, network, and application layers.

Teams tasked with maintaining service quality must embrace automated root cause analysis to quickly discover and remediate production issues.

Announcing the launch of our new end-to-end SLA and SLO management service.

Senser announces its recognition as one of Intellyx’s 2023 Digital Innovators of the Year.

While traditional monitoring tools are essential for detecting symptoms, they often fall short in identifying the root cause, especially when the issue spans multiple layers[...]

Today, Senser emerges from stealth – unveiling our AIOps platform and announcing a $9.5 million funding round led by Eclipse, with participation by Amdocs Ventures and..

In today’s complex and interconnected production environments, when something goes wrong, the blame almost always lands first on the DevOps team. Here’s why that’s the wrong..

Kubernetes, alongside the distributed architecture of micro-service based applications, introduces complexity that makes debugging failures vastly more challenging. SRE and DevOps teams need new approaches to..