Operations | Monitoring | ITSM | DevOps | Cloud

This week, the European Union (EU) reached an agreement on the EU Cyber Resilience Act (CRA). See if your product must comply, how to comply and what is exempt.

It's a lot easier to get + stay CRA compliant when you have robust SSCS across your pipeline. See how using Cloudsmith helps.

Complete guide to monitor Cloudflare workers using Prometheus Exporter.

Although FireHydrant has spent five years focused on what happens after your team (erg, I mean service 🙄) gets paged, the topic of alerting often comes up in discussions with our community. People are tired of paying big bucks for software that’s expensive, bloated, and hasn’t seen much innovation. Clearly, there’s a problem here – and we’re tackling it head on.

With the increasing complexity of technology stacks and monitoring tools, managing incidents can become overwhelming, leading to alert noise, alert fatigue, and delayed responses. This is where Key-Based Deduplication comes to the rescue, streamlining incident handling and enhancing the effectiveness of your Incident Management platform.

Reporting from multiple engineering systems is crucial for maintaining the high velocity and quality standards required in today’s tech industry. However, creating reports can be challenging due to the need for deep technical expertise and aggregation of many separate systems worth of data.

As technology continues to advance at a rapid pace, a new frontier has emerged in the world of networks - the automated edge. But what exactly does this mean for business and why does it matter? In simple terms, automated edge refers to self-configuring, self-optimising, and self-healing capabilities being built into edge devices and software.

To recap from our first blog post, JFrog Workers is a service in the JFrog Platform that provides a serverless execution environment, similar to AWS Lambda services. The Workers Service is similar to the user plugins available in JFrog self-hosted, and can be used to perform tasks that extend the capabilities of the JFrog Platform according to your requirements.

What is a Time Series Data Warehouse? How does it help in your monitoring journey? How does it differ from a Time Series Database? That and more.