Operations | Monitoring | ITSM | DevOps | Cloud

In this episode of Pastries with SREs, we dig into why you should keep all of your observability data, even if you don’t need it quite yet. We explore: With enriched logs and flexible, cost-effective storage, you can stop worrying about what you might need later and start answering questions with confidence, no matter when they arise. Additional resources.

In this episode of Pastries and SREs, we take a sweet dive into one of the most exciting evolutions in observability: enriched logs, also known as wide events. Gone are the days of toggling between tools and stitching together logs, metrics, and traces. Enriched logs consolidate the context, providing everything you need to understand and resolve issues in a single log entry. We explore.

In this episode of Pastries and SREs, our hosts tackle one of the hardest questions observability leaders face: "How do you prove the ROI of observability?" This isn’t just about uptime or dashboards. It’s also about aligning observability with business outcomes, cloud cost savings, and FinOps metrics that matter to leadership.

In this episode of Pastries and SREs, we dig into how vendor lock-in and sky-high observability costs are forcing teams to choose between coverage and budget, AND why you shouldn’t have to settle. With donuts in hand, we explore how to take back control of your observability strategy by making it cost-effective, comprehensive, and flexible.

Description: The next golden age of artificial intelligence has arrived, but the path forward is far from certain. Technology leaders are presented with a tremendous opportunity to revolutionize their business — that is, if they can find a way to tap into the full potential of their organization's data. In Episode 5 of Elastic's new limited series, Generation AI, marketing and IT leaders share how they believe AI will shape the future of marketing technology and workflows.

In this episode of Pastries with SREs, we look at AIOps, where it fell short, where it worked, and how generative AI (GenAI) is reshaping what’s possible in observability today. We explore: If you’re wondering whether generative AI is different this time, this episode offers a grounded, practical look at how it’s evolving observability workflows.

In this interview with Alex Hidalgo, Field CTO at Nobl9 and author of Implementing Service Level Objectives (O’Reilly Media), we explore how traditional metrics like MTTR and MTTx can give a false sense of reliability. Alex shares how SRE teams can embrace failure, build psychological safety, and design systems that reflect the human factor behind uptime, outages, and real-world reliability.