Senser blog


How We Built This: Complementing our AIOps Platform with..

While the buzz around implementing generative AI capabilities in the observability market is recent and loud, we've been busy quietly evaluating the specific roles LLMs can..

Avitan Gefen on July 16, 2024


Why Generic AI Models Fall Short for Root Cause..

Explore why generic AI models aren’t a strong fit for a critical element of production troubleshooting: root cause analysis and how LLMs could be integrated to..

Amir Krayden on June 24, 2024


How Graph Machine Learning is Changing the Game in..

What can soccer teach us about the impact of Graph ML on generating insights from complex, distributed systems? It turns out: a lot.

Yuval Lev on June 12, 2024


What is Kubernetes Observability?

Kubernetes observability is critical for data operations because it provides the insights necessary for effective system management and troubleshooting, especially with Kubernetes managing multiple workloads across..

Amir Krayden on May 24, 2024


“I have Grafana. Now what?” – Building a better observability..

Grafana is essential for any organization's observability stack. But full observability of all layers in a production environment requires a suite of tools...

Yuval Lev on May 20, 2024


The ROI of Observability – Comparing open source vs...

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

Amir Krayden on April 18, 2024


The path to troubleshooting production issues automatically

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

Yuval Lev on March 12, 2024


The promise and pitfalls of machine learning for automated..

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,..

Yuval Lev on February 19, 2024


Why existing approaches to root cause analysis fall short

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

Yuval Lev on January 22, 2024


Why automated root cause analysis is no longer optional

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

Yuval Lev on January 8, 2024


Product update: Announcing expansion of our end-to-end SLA and..

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

Amir Krayden on December 15, 2023


Senser Wins the 2023 Digital Innovator Award from Intellyx

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

Amir Krayden on December 5, 2023


The anatomy of a production incident – resolution and..

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[...]

Yuval Lev on October 31, 2023


Announcing Senser’s emergence from stealth

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..

Amir Krayden on September 27, 2023


Why is the DevOps team always at fault?

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..

Yuval Lev on September 24, 2023


Kubernetes made my life much, much worse

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..

Yuval Lev on August 17, 2023

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