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#KubeCon

27 posts19 participants0 posts today
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Dotan Horovits #CNCFAmbassador

Can we standardize on a #query language for #observability?
It's probably going to end up with good-old #SQL 😁

I shared my notes from last week's #KubeCon EU talk about the #CNCF 's working group that looks into observability query language standardization.
linkedin.com/feed/update/urn:l

www.linkedin.com#query #observability #kubecon | Dotan Horovits 🇮🇱🎗Can we standardize on a #query language for #observability? It's probably going to end up with good-old SQL 😁 The Cloud Native Computing Foundation (CNCF) has a working group (WG) looking into observability query language standardization. They gave a fascinating talk last week at #KubeCon Europe. The group, led by Christopher Larsen of Netflix and Vijay Samuel of eBay, has done a comprehensive research among end users and DSL (domain specific languages) designers, to understand what's out there and what works. A very interesting conclusion is that relational approach with an SQL-like language is the best path. Why? because we should recognize that DevOps and SREs are no longer the main folks querying observability data. we need to cater for developers, data scientists, platform engineers and more. You see also the data analytics community moving back to SQL after the hype of NoSQL. Ultimately, SQL is a common language. And don't worry, the idea is to adapt it to time series, and some syntactic sugaring to make it more intuitive. For more background on the working group: https://lnkd.in/d_m6eUbY And check out the semantic specification draft and chime in with your comments: https://lnkd.in/dTf3ijeV Credits to Chris Larsen (WG lead), Alolita S. (Apple, TAG co-chair) and 🇨🇭🇧🇷Pereira Braga (Google) for the interesting talk and for pushing the WG forward.
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aleskandro

Attending KubeCon EU 2025 in person was an energizing reminder of why open source matters, not just for the code we write but for the community we build.

This year's KubeCon was pivotal in building momentum for the next decade of cloud-native development.

Projects like Kueue, Volcano, Karpenter, Keda, and Apache YuniKorn are rapidly advancing Kubernetes' scheduling and autoscaling capabilities, enabling it to intelligently manage diverse workloads - from AI/ML to HPC and "traditional" microservices.

The community's focus is shifting from observability to controllability - from watching systems to dynamically shaping them at runtime. This paves the way for exciting progress in areas like cost-effective and carbon-aware orchestration.

Check out my recap here:
aleskandro.com/posts/kubecon-2

Aleskandro · KubeCon EU 2025 Recap: Kubernetes Meets AI - a New Decade of Cloud Native developmentKubeCon + CloudNativeCon Europe 2025 landed in London, bringing together thousands of cloud-native engineers, maintainers, and enthusiasts. As a local Distributed Systems Engineer deeply embedded in the Kubernetes ecosystem, attending in person was both energizing and insightful. A central theme emerged across sessions: Kubernetes is rapidly evolving beyond microservices, adapting to support batch workloads, AI/ML training, HPC scenarios, and global-scale multi-cluster deployments. This shift isn't just technical - it's reshaping the cloud-native landscape and redefining how we think about workload orchestration, scheduling, and autoscaling. Kubernetes may not have been built for these new frontiers - but it's catching up fast...
#kubecon#cloudnative#kubernetes
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