Andres

[Panagiotis Moustafellos @pmoust]

At @NOFireAI we 'design for breach'. The AI agent in production is untrusted by default. https://t.co/GO14YBW2em

[Historic Vids @historyinmemes]

This device could predict incoming phone calls (2000s)

[Debasish (দেবাশিস্) Ghosh 🇮🇳 @debasishg]

Zig 0.16’s `Io` is an explicit capability passed like `Allocator` that decouples I/O operations from their interpreter, giving you one function body for blocking, async, green-thread, or test-fake implementations - all without function colouring or any type-level effect tracking.

My latest blog post examines whether `Io` truly qualifies as an effect, dissecting its pragmatic value-level design and the exact engineering wins (and static-guarantee trade-offs) it delivers compared to more formal effect systems.

Link to the post: https://t.co/0OncWQA6yO

[Shay Banon @kimchy]

Impressive work by our team making Elasticsearch a kick ass columnar metrics store

[Xata 🦋 @xata]

One Postgres per tenant, per agent, per CI run.
Storage built for a few busy volumes can't carry that.

Here's why we built our own engine: Xatastor.

[Elastic @elastic]

Scaling Prometheus shouldn't feel like a second job. But for most SREs it does — multiple backends, cardinality headaches, context-switching between tools just to find root cause.

We've fixed that. Native PromQL in Kibana, direct Remote Write ingest, and metrics unified with logs and traces in a single platform.

25x faster queries than Prometheus. 2.5x storage savings. One day to migrate.

Keep everything you've built. Ditch the complexity. https://t.co/J4Tq6ZvZgO

[Shay Banon @kimchy]

our journey with making Elasticsearch one of the best vector databases in the world continues, impressive and innovative work by our team

[Elastic @elastic]

Introducing cross-project search for Elastic Cloud Serverless.

Search across all your workloads from a single pane of glass, without moving your data. Query distributed Elastic Serverless projects as one while maintaining native project isolation.

Cross-project search allows you to keep data separated by region, team, tenant, or environment while maintaining global visibility. Security and Observability teams can query across linked projects to gain full context, without copying or consolidating data.

Learn more: https://t.co/WqK33czsrJ

[Shay Banon @kimchy]

Native promql support for metrics in Elasticsearch, fused right into our ES|QL so you can optionally fuse it. Pretty cool and tons of more metrics news (perf! Moar columnar!) coming soon!

[Elastic @elastic]

At #GoogleCloudNext, see how Elastic turns data into real outcomes, faster, smarter, and at scale.

Visit the booth to:
• Automate investigations: Turn messy logs into clear, actionable insights with Gemini
• Accelerate your SOC: Replace legacy SOAR with native AI automation to stop threats faster
• Build smarter agents: Use Agent Builder to deploy Gemini-powered AI with real context

See what production-ready AI actually looks like.
https://t.co/rPhD6AhNPx

[Shay Banon @kimchy]

Jina team is cooking

[Elastic Dev @elastic_devs]

We are making AutoOps free for every self-managed cluster as a direct investment in the Elasticsearch community.

This provides the full diagnostic layer previously reserved for commercial tiers, allowing SREs and Admins to move from reactive troubleshooting to proactive health management.

Stop hunting for root causes. AutoOps correlates metadata every 10 sec to identify bottlenecks and provides the exact Elasticsearch commands to fix them.
• Proactive Stability: Identifies shard imbalances and JVM spikes before they trigger an incident.
• Secure & Metadata-based: Your data never leaves your environment. We only analyze cluster metadata.
• No new monitoring clusters to maintain: Connect via Cloud Connect in ~5 minutes.

Move from reactive troubleshooting to expert-level feedback.
AutoOps: https://t.co/LwKCazxqxA
Read the Blog: https://t.co/V8KFN1Se9t

[Andres @andresrc]

@espartinas un montón de WhatsApp para cualquier cosa y se van a cortar un montón de calles por una carrera y no se avisa de ninguna forma. Mí más sincero agradecimiento

[Manuel Cuesta @manuelcuesta]

Ganas de veros en Madrid ♥️🚀

[Elastic Dev @elastic_devs]

"Live logs & prosper: Use AI to make logs a primary observability signal" talk at #AWSreInvent
Why logs, how LLMs change the processing + insights, and how to implement it — all combined called Streams 🧵

[Elastic @elastic]

Now live: Elastic Observability + Amazon Bedrock AgentCore.

Stop treating your AI agents like a "black box." ⬛️

Get a unified view of platform health and application logic. Correlate OTel traces with Bedrock metrics to spot hallucinations, latency spikes, and failed tool calls instantly.

https://t.co/aiw76X3xco

#AWS #Bedrock #Observability #DevOps

[Elastic @elastic]

Essential breakdown from the Elastic Dev team on why context engineering is becoming core to LLM performance. Worth the read. 👇

[Elastic Dev @elastic_devs]

"OTel + K8s = ❤️: An introduction to OpenTelemetry for Kubernetes users" live from #KubeCon
Thread throughout the talk from some of the folks deeply involved in OTel projects 1/n

[Elastic Dev @elastic_devs]

Turn an ES|QL query into a tool your agent can call out automatically with @elastic Agent Builder

[Elastic @elastic]

Live logs and prosper. 🔍 Why settle for chasing symptoms at 3am? Elastic Streams puts AI to work, turning your logs into instant answers and real root causes, no detective work required.

Ready to see how SRE workflows get reinvented? See what’s possible with Streams: https://t.co/cQSQHyhTNj