Operations | Monitoring | ITSM | DevOps | Cloud

As a big proponent of open source and all things open, I jumped at the opportunity to expand on Cribl Stream’s OpenTelemetry implementation. I’m happy to report that as of Cribl Stream 4.1, both our OpenTelemetry source and destination now support OTLP over HTTP!

Welcome to our monthly product newsletter - SigNal 24! Last month, our team worked on the upcoming trace and logs explorer page. With the new update, our users will be able to drive deeper insights into their application performance quickly. We also attended open source focused meetups and published a cost comparison blog comparing SigNoz with other popular observability tools. Let’s dive in to see what humans at SigNoz were up to in the month of April 2023.

A web application or an API breaking is a matter of when, not if. Whether the cause is buggy code making it to production or infrastructure failing to support the software built upon it, incidents of varying severity are the norm rather than the exception, appearing frequently enough that the industry has coined the terms Mean Time To Detect (MTTD) and Mean Time To Recovery (MTTR).

At Logz.io, we’re seeing a very fast pace of adoption for Kubernetes–at this point, it’s even outpacing cloud adoption, with companies running on-prem fully adopting Kubernetes in production. Why are companies going in this direction? Kubernetes provides additional layers of abstraction, which helps create business agility and flexibility for deploying critical applications. At the same time, those abstraction layers create additional complexity for observability.

A while ago, we added Metrics to our observability platform so teams could easily see system information right next to their application observability data—no tool or team switching required. So how can teams get the most out of metrics in an observability platform? We’re glad you asked! We had this conversation with experts at Heroku. They’ve successfully blended metrics and observability and understand what is most helpful to know.

Analyzing multiple databases using multiple tools on multiple screens is error-prone, slow, and tedious at best. Yet, that’s exactly how many network operators perform analytics on the telemetry they collect from switches, routers, firewalls, and so on. A unified data repository unifies all of that data in a single database that can be organized, secured, queried, and analyzed better than when working with disparate tools.

I’m delighted to share that version 7.2 of eG Enterprise has introduced support for performance monitoring of Snowflake databases. eG Enterprise’s integration with Snowflake enables complete visibility into the Snowflake architecture and operations, alongside the performance and costs of any dependent cloud hosted infrastructures such as AWS or Azure.

Avid PC gamers know that if you want optimal performance, you have to push your computer to its limits. And if your gaming “rig” is not properly equipped with a large interior fan, your PC can overheat, resulting in more than a few performance issues. It is the same for enterprise-level devices or pieces of hardware: overheating creates problems. One such enterprise-level piece of hardware (and arguably the most crucial piece of equipment) is a server.