Operations | Monitoring | ITSM | DevOps | Cloud

In this episode of Pastries with SREs, we tackle an observability debated topic: Do you need a Single Pane of Glass OR is OpenTelemetry a better strategy? We explore: Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

In this video, we discuss handling both old and new systems in IT environments. From legacy SNMP setups to modern telemetry, most organizations juggle multiple data sources, which can make observability feel overwhelming. We explore how to combine logs, metrics, and flow data into one system that provides actionable insights. You’ll see practical examples of simplifying scattered tools and making sense of complex, disparate information. Understanding how these different types of data work together is key to getting observability right.

As part of our mission to help developers "Start with Aiven", we built a new plugin to make working with Apache Kafka easier. The Kafka UI Connect plugin allows you to interact with your Kafka clusters directly from any JetBrains IDE (e.g., IntelliJ, PyCharm). No more juggling multiple applications!

Custom Metrics provide critical visibility into your environment and applications. In this video, we’ll show you how to govern Custom Metrics volumes in Datadog by: Building monitors to proactively catch usage spikes Identifying and attributing your largest cost drivers Reducing costs on less valuable, unused metrics.

The future of IT: Where will AIOps be in less than 5 years? In this video, we dive deep into the evolution of Artificial Intelligence for IT Operations (AIOps) and what the next half-decade holds for businesses, IT teams, and technology leaders. AIOps is no longer just a buzzword—it’s becoming a critical part of IT operations, enabling predictive analytics, automated incident management, root cause analysis, and faster decision-making.

Amin Momin of Capgemini gives an example of injecting faults to improve reliability with a capital market exchange.

The new Suggested Actions feature in BigPanda surfaces relevant historical data to help L1 network operation center operators quickly diagnose and resolve incidents. Request a personalized demo here to see more.

In this webinar, Nathen Harvey, DORA Lead & Dev Advocate at Google Cloud and Ganesh Datta, CTO at Cortex show you how to operationalize DORA metrics so they work together, transforming insight into sustained impact.

Programming just evolved from syntax-focused to intent-driven development. GitHub Cloud Solutions Engineer Ambily Kavumkal Kamalasanan breaks down how we've moved through 5 generations of programming languages, from binary code to natural language processing + why GitHub Copilot is changing how developers actually work. Perfect for developers tired of syntax battles and ready to embrace AI-assisted workflows that actually save time.

In this special Reality Bytes, the team sits down with Matt Rose, Product Marketing Manager at Nexthink, to talk about the just-announced AI Drive. Matt breaks down how AI Drive helps organizations finally make sense of their scattered AI landscape—bringing visibility, usage insights, guidance, and measurable impact into one place inside the Nexthink Infinity platform. He also shares early customer feedback, the future roadmap, and why AI adoption has become a critical competitive differentiator.