Part 4 of our #HPEDEV blog series on HPE OpsRamp observability covers the complete metric ingestion path - from Redfish hardware data through the OTel Python SDK, showing the precise coordination required across the 3 layers. hpe.to/6015BE6xst

Ever wondered what it takes to monitor Laravel Cloud? We teamed up with @AutoMQ_Lab to show how the observability stack behind our platform works: automq.com/blog/laravel-mimi…

🤖 AI was supposed to take my job—instead it gave me a new one. AI applications break traditional testing and observability. The same input yields different results each run, and they can return an OK in 300ms with a confident, completely wrong answer. The solution: Evaluations

📦 June Development Updates TL;DR ▸ Kleros Foresight: Movies Round 2 live, P&L display, new chart UI ▸ Curation Court (Hidden Voting): new court created on Gnosis, Scout registries migrating July 13 ▸ Court V1: staking-rewards monthly totals, public/hidden vote labels, unsubscribe warning ▸ Court V2: dispute kit simplification, contracts library rework, forking court design ▸ Escrow V1: kleros-app v3.0.1 adoption, Reown whitelisting, dispute-display fix ▸ Escrow V2: security fixes to production, UI components migration, kleros-app v3.0.1 ▸ kleros-app: v3.0.1 release with unsubscribe support and product differentiation ▸ Atlas: security hardening, hack attempt handled, observability charts ▸ Vea: Envio indexer in VeaShi scanner, validator RPC fallback, Base Arbitrum routes ▸ Proof of Humanity V2: security fixes, referral system in development, keeper bot optimization ▸ Curate & Scout: XSS audit, maintenance alongside the Curate V2 security review ▸ Dispute Resolver: ArbSepolia-Sepolia dispute display fix ▸ Kleros Skills: CLI MCP iterations, Shodai/ClawBank experiment ▸ Website: old site retired, Whitepaper/Yellowpaper/Fellowship links fixed

Manual forensics is a reactive post-mortem. If you are opening Event Viewer on a single node to hunt for Event ID 4688, your observability stack has already failed you. In a modern architecture, these events should be streamed, aggregated, and triggering automated alerts the moment a suspicious process spawns. Relying on a human to reconstruct a timeline from a local GUI is not a strategy; it is a bottleneck. True reliability comes from automating the detection of these patterns before you ever need to log in manually.

Security agents in the CI/CD pipeline are only as good as their observability. The market is flooded with black-box proprietary tools that fail to explain their logic during a false positive. An open-source alternative that prioritizes transparent automation over hype would be a massive win for SRE teams. If you build it to integrate natively with existing IaC rather than acting as a standalone silo, you will find plenty of contributors.

Yes. Shared consequential continuity persists—and observability holds—exactly when internal stabilization outpaces external disturbance. Redundant couplings, coherent feedbacks, and inherited structures must sustain prior organization as active history in the present. When perturbations dominate and sever those links, continuity ruptures and no intelligible trace remains. This dynamical balance is the process condition formalized by the λ_self/λ_env ≥ R★ threshold.

What's new @ Steel — Changelog #032 ✦ Worker network request capture for deeper session observability ✦ Managed browser chrome cropping ✦ Leaderboard updates: WebChallenger, Claude Sonnet 5, Agents-A1 Sonnet 4.6 refreshed

🛠 Hiring: DevOps Engineer / SRE - Company 📍 Remote (Global) | 💼 Full-time | 🧑‍💻 Cloud/K8s/CI-CD | 🕐 4 hours ago - July 06, 2026 The company is hiring a DevOps Engineer / SRE to build and maintain scalable, reliable infrastructure and support high-availability systems in a fast-paced environment. 📋 Responsibilities include: - Design, implement, and maintain CI/CD pipelines and infrastructure automation - Manage cloud infrastructure and container orchestration (Kubernetes, Docker) - Monitor system performance, reliability, and incident response - Collaborate with dev teams to improve deployments and DX - Implement IaC and observability tools 🔑 Requirements: - Strong DevOps, CI/CD, and cloud experience - Kubernetes, Docker, Terraform proficiency - Linux admin and scripting skills - SRE principles knowledge - Remote team collaboration 💡 Perks: - Competitive pay & equity - Flexible remote work - Learning budget & benefits 📩 To apply: DM Solange Serrano on LinkedIn: linkedin.com/in/solangeserra… (include any required test message or details). 🔗 Original post: linkedin.com/posts/solangese… ⚠️ DYOR! I don’t verify every job. If someone asks to run files (even from GitHub) or ask for payment 🚩 likely a scam. ❗️ I'm not hiring myself! I just sharing fresh web3/crypto/blockchain roles DAILY for all levels! 💡 For Interns & juniors → t.me/crypto_vazima_english 💼 Mid/senior jobs → t.me/web3_jobs_crypto_vazima #DevOps #SRE #Hiring #RemoteJobs #Web3 #Blockchain #Kubernetes #CloudEngineer #SiteReliability #Engineering #CryptoJobs #Web3Jobs #TechHiring #RemoteDevOps #SREJobs

Manual monitoring is outdated. AIOps Data Observability enable self-healing data platforms. 🔗 Read our blog: zurl.co/nen8n #AIOps #DataObservability

Laravel Cloud now runs AutoMQ with Grafana Labs Mimir 3.0 to power its next-generation observability platform. Here is the story from Florian Beer, Engineering Team Lead, SRE at Laravel. As Laravel Cloud grew, its observability platform had to cover platform services, customer workloads, alerting, and incident response across clusters and nodes worldwide. With hundreds of thousands of metric samples arriving every second, the write path needed to scale without turning Kafka broker disks into the next bottleneck. In the article, Laravel shares how it built that path on AWS with Grafana Mimir 3.0 and AutoMQ: 1️⃣ Mimir ingest storage lets writes land in Kafka before ingesters consume them, so entry writes and backend consumption can scale on separate paths. 2️⃣ A traditional Kafka layer would still bring replicated EBS capacity, broker-to-broker cross-AZ traffic, local log recovery, partition movement, and replica catch-up into the middle of the observability stack. 3️⃣ AutoMQ keeps the Kafka-compatible interface Mimir expects while storing Topic data in S3, so the Kafka buffer follows the same object-storage direction as Mimir long-term blocks. After rollout, Laravel Cloud's metrics volume grew by roughly an order of magnitude, while the entry write path, AutoMQ, and ingester consumption side could still scale independently. 👉 Read the full blog: automq.com/blog/laravel-mimi… For more Kafka and AutoMQ engineering insights, follow AutoMQ on LinkedIn or join the AutoMQ Slack community: go.automq.com/slack #GrafanaMimir #LaravelCloud #Kafka #AutoMQ #DisklessKafka #Observability #AWS

We're excited to be an Engage Sponsor at #IBMTechXchange 2026, October 26-29 in Atlanta! We're looking forward to connecting with the IBM community, sharing what's new w/Galileo, and talking with IT teams about #observability and IT ops. A look back at last year's event....

The Agentic #AI Maturity Gap: Combining Orchestration, Observability & Auditability buff.ly/0QUpbDW @Hackernoon #GenAI Cc @Fabriziobustama @gezgintrk @VallesMaxime @FrRonconi @bzarkout @crimson_crypto @rvp @domingonarvaez1

We’re looking for a Senior SRE to champion reliability, automate away toil, and own our cloud runtime. 🛠️ Stack: @nodejs / @typescript (and a bit of Bun JS); #GraphQL; @awscloud (AWS) (compute: [ECS / EKS / Lambda — specify!]); @MongoDB Atlas; Terraform; @Cloudflare Workers (R2, Queues, DO, etc.) 🌍 100% Remote-first (with an office in Norway if you want it) If you’re a Senior SRE who lives for micro-optimization, deep observability, and building self-healing cloud infrastructure, the team at @CrystallizeAPI wants you! crystallize.com/careers/seni… #SiteReliabilityEngineering #PlatformEngineering #DevOpsJobs #RemoteWork

6. "That leaves 40.0% of participants saying that their companies trust AI-enabled observability tools to provide network visibility, but they strictly require human approval before executing any network changes, with 6.2% not trusting AI for this purpose."

Spot on. As someone building self-hosted AI security agents, this master tree is incredibly useful. The Reliability Layer (circuit breakers, fault tolerance, retries, backpressure) and Observability sections are especially relevant when designing agents that need to handle tool failures gracefully and maintain deterministic behavior. The Future Architectures section (AI-Native Systems, Self-Healing Systems) feels like exactly where secure, production-grade agent platforms are heading. Bookmarking this for reference.

Vector Search for Practitioners with Elastic — A toolkit for building NLProc solutions for search, observability, and security: amzn.to/3vEkWFe v/ @PacktDataML What you will learn: 🟠Optimize performance by harnessing the capabilities of vector search 🟠Explore image vector search and its applications 🟠Detect and mask personally identifiable information 🟠Implement log prediction for next-generation observability 🟠Use vector-based bot detection for cybersecurity 🟠Visualize the vector space and explore "Search Next" with Elastic 🟠Implement a RAG-enhanced application using Streamlit