Operations | Monitoring | ITSM | DevOps | Cloud

Elastic collaborates with Red Hat on the validated pattern to enhance financial analyst workflows with RAG-powered search. We’re excited to share that Elastic and Red Hat have partnered to create validated patterns that integrate Elasticsearch’s generative AI (GenAI) and vector search capabilities with Red Hat OpenShift AI. This integration can run on accelerated hardware on-prem or in IBM Cloud to power retrieval augmented generation (RAG) solutions.

Let’s be honest. AI features can sound cool on paper, but too many tools overpromise and underdeliver. At Logz.io, we didn’t want to build “yet another AI chatbot.” We wanted to create something our engineers and yours would actually use when incidents hit, logs explode, or someone asking, “What just happened to production?” Here’s how our AI Agent evolved from a basic chat interface to an incident-resolving, log-analyzing, doc-digging, context-aware assistant.

Cribl Packs have always provided a powerful way to package and share configurations across Cribl Stream environments. From pipelines to lookups, knowledge objects to functions—Packs make telemetry pipelines simple and portable. Now, we’re excited to announce a game changing expansion: Sources and Destinations can now be included in Cribl Packs!

Logs are essential, but managing them can be tedious. They quickly consume storage, slow down your searches, and make troubleshooting feel like an endless chore. Loki monitoring helps simplify this process, offering a more efficient approach to logging that developers can appreciate.

Debugging modern.NET apps isn’t as simple as scanning logs anymore. With services spread out and systems growing more complex, it's easy to miss the bigger picture. Serilog gives you clean, structured logs. OpenTelemetry brings in traces and metrics to connect the dots. This guide covers how to wire up Serilog with OpenTelemetry, send logs to traces, and build an observability setup that helps you troubleshoot, without digging through disconnected logs for hours.

Enterprise observability and security architectures are being crushed by the cost and complexity of collecting telemetry at scale. With thousands of VMs, bare-metal hosts, and containerized services spread across hybrid environments, most teams rely on a fragmented patchwork of Syslog agents, Fluentd/Fluent Bit nodes, Syslog daemons, other open-source agents or collectors, and proprietary vendor forwarders. What starts as a well-intentioned data collection plan quickly turns into a maintenance nightmare.

When something breaks in production, logs are usually where you start. They help you figure out what happened, where, and why. But with microservices architecture, logging isn't simple anymore. In a traditional monolithic application, logs live in one place. With microservices, they're scattered across multiple services, containers, and sometimes even data centers. What used to be a simple grep command now feels like solving a mystery without most of the clues.