Operations | Monitoring | ITSM | DevOps | Cloud

At Google Cloud Next, one statement particularly caught the attention of innovators and cybersecurity professionals alike: Google’s introduction of Agent 2 Agent (A2A) marks a major evolution in AI architecture. It enables autonomous agents to collaborate across services, platforms, and domains—unlocking powerful use cases across virtually every industry.

In the ever-evolving world of artificial intelligence, a new frontier is emerging—Agentic AI. This revolutionary concept goes beyond the traditional models of AI that we’ve grown accustomed to. Instead of simply following explicit instructions, agentic AI systems are designed to act autonomously, make decisions, and adapt dynamically. In other words, they can “think” independently to achieve specific goals.

Signals is FireHydrant’s modern on-call product that is a replacement for legacy tools such as PagerDuty or Opsgenie. When we began planning Signals, we not only wanted to build a kickass on-call alternative, but also to reset the standard on how much on-call should cost.

CI/CD pipelines don’t wait. When traffic surges and your artifact platform can’t keep up, it’s not just a few slow requests: builds fail, deploys become backlogged, and engineers lose confidence. We’ve seen it all: 502s from overloaded VMs, minutes-long pulls, and pipelines grinding to a halt. That’s why we built Cloudsmith to scale by default; no one should have to firefight with their registry at 2 a.m.

Here we go with another update of ODBC, our reliable and high-performance tools for connecting to popular databases and cloud services from ODBC-compatible tools. This release features enhanced performance, essential new options, expanded capabilities, and much more. This time, the spotlight is on our ODBC Driver for Jira, which has been significantly optimized in terms of data retrieval.

Explore the top 10 innovative platforms showcased at AWS Summit Paris 2025. From DevOps automation to AI and cloud security, discover the latest tools transforming cloud computing and accelerating digital transformation.

As businesses grow, the complexity of managing both physical and virtual assets across owned and leased data centers has become increasingly challenging. Traditionally, IT and Operational Technology (OT) teams have worked with siloed tools to manage their respective domains. On one hand, Data Center Infrastructure Management (DCIM) systems have focused on managing critical infrastructure like power, cooling, and in-rack devices.

Staring at a monitoring dashboard and still feeling like you're missing half the picture? Happens more often than you'd think. Especially when you're dealing with metrics like request durations or payload sizes—data that doesn’t behave nicely or fit into neat little averages. This is where Prometheus' histogram buckets step in. They're not just another metric type; they're a better way to track the messy, uneven world of performance data.