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.

Complete guide to monitor Cloudflare workers using Prometheus Exporter.

At Codefresh, we are always happy to see companies and organizations as they adopt Argo CD and get all the benefits of GitOps. But as they grow we see a common pattern: It is at this point that organizations come to Codefresh and ask how we can help them scale out the Argo CD (and sometimes Argo Rollouts) initiative in the organization. After talking with them about the blockers, we almost always find the same root cause.

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

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.

EU law is changing for hardware and software makers. Here's your 2-minute summary of the Cyber Resilience Act.

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.

Discover the top Kubernetes SaaS Hosting Services. Understand their features and benefits and select the best SaaS hosting service for your Kubernetes-based application with Control Plane.

Threat vulnerability management, and managing your attack surface, are critical in the battle against cyberattacks. At some point before an successful attack, the internal process to manage threats and prevent access to sensitive data failed. How could they have done things differently? Were they just managing too much, too often, without the resources they needed?

Computers understand numbers. So, how do large language models (LLMs) mimic human speech? Do LLMs like ChatGPT actually understand words? The short answer is no. LLMs process and represent words using numerical embeddings. These numerical representations enable the model to perform computations, make predictions and generate text. However, it's essential to clarify that the model doesn't possess a true understanding of words in the way humans do. Here's a breakdown of the process.