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PagerDuty Incident Responder custom agent for Github is now Generally Available!
This custom agent in GitHub’s AI ecosystem gives users access to PagerDuty data (including change correlation, incident data, and more) directly in GitHub Copilot, saving time from context switching for faster resolution. The agent can help users analyze incident context, identify recent code changes, and suggest fixes via GitHub PRs. Learn more about PagerDuty’s MCP capabilities for GitHub and other tools here.
Redefining Frontend Observability with Datadog RUM
Discover how Datadog is redefining frontend observability with Real User Monitoring (RUM). In this demo, see how RUM helps teams detect, investigate, and resolve frontend issues that directly impact user experience and business outcomes. With RUM Without Limits, you get full visibility into every user session, giving you an accurate and comprehensive view of your users’ experiences. Monitor performance, track errors, and understand how your application behaves in real time.
Transform and Migrate Logs with Datadog Custom Processor
See how Datadog’s new Custom Processor in Observability Pipelines helps you transform and migrate logs from platforms like Splunk and Sumo Logic with precision and control. This demo walks through real examples of using VRL (Vector Remap Language) to enrich log data, rewrite timestamps, apply quotas, and securely process archives.
Optimizing What Matters Most: The State of Mission-Critical Work | Research Insights from Mattermost
How do top-performing organizations ensure their most essential workflows stay effective, efficient, and secure in a quickly evolving environment? Find out in this new research report from Mattermost and the Ponemon Institute: https://mattermost.com/mission-critical-work/
LogicMonitor Is FedRAMP Moderate Authorized: How We Support Federal IT
Federal agencies need observability that doesn’t create new compliance problems. Today, that’s possible. LogicMonitor Envision is now FedRAMP Moderate Authorized with a formal Authorization to Operate (ATO). That means unified, AI-powered visibility across your hybrid infrastructure—on-prem, AWS GovCloud, Azure Government, and edge—without starting your security review from scratch.
OTel Updates: Consistent Probability Sampling Fixes Fragmented Traces
You're sampling 1% of traces in production. A payment request fails at 3 AM. Logs show an error in order-service, but the full picture isn't there because different services made different sampling decisions. order-service kept the trace; payment-service didn't. So you end up checking logs and timestamps across a few services to piece things together. This happens because the usual probability sampling approach makes a separate choice at each service boundary.
Navigating the geopolitical maze of digital sovereignty at Civo Navigate London 2025
Trust in Big Tech is eroding. Geopolitical tensions are rising. The only predictable thing about the cloud today is that it’s time to re-evaluate everything. At Civo Navigate London 2025, we pulled together a panel of industry experts to cut through the noise and finally define what digital sovereignty means for the UK.
Introducing JFrog Fly: The World's First Agentic Artifact Repository
AI has created a paradigm shift in software development. AI-native development teams – from small startups to enterprises like Goldman Sachs and Google – are adopting agentic development tools like Cursor and Copilot to increase the speed of code generation to a pace we’ve never seen before. But with all this new code comes a big challenge: how do you manage all these potential new releases and get the right ones deployed?
Artificial Intelligence as a Service AIaaS (AIaaS): What is Cloud AI & How Does it Work?
Today, organizations looking to build AI products and services using large language models (LLMs), agentic AI, and generative AI often start by investing in artificial intelligence as a service (AIaaS), also known as cloud AI. AIaaS provides a scalable, flexible, and cost-effective way for businesses of all sizes to access advanced AI technologies without the need for extensive in-house expertise or infrastructure.