🎤 Host of @cloudnativefm podcast

Rawalpindi
Joined December 2013
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Alongside DeepSeek V4.1 Flash, they open-sourced DeepInfer, → Custom GPU kernels for attention, matrix maths and expert routing → Expert parallelism with load balancing for mixture-of-experts models Read more: github.com/deepseek-ai/DeepI…
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14/14 — Conclusion But autonomy needs guardrails: human approval, clear ownership, reliable context, and auditable actions. Are we ready to trust AI agents with production operations—or should they remain copilots for now? Full announcement roundup 👇 grafana.com/blog/observabili…
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14/14 — My biggest takeaway Observability is evolving through three connected shifts: 1️⃣ From dashboards to actionable context 2️⃣ From collecting everything to managing telemetry economics 3️⃣ From manual investigation to AI-assisted operations
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13/14 — The Grafana Marketplace is GA 🛠️ The Marketplace now offers more than 30 partner-built plugins across areas such as security, networking, and cloud cost optimization. Grafana Cloud users can try plugins free for 14 days.
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12/14 — Continues Examples include: • Creating incident channels and paging teams • Generating incident briefings • Preparing on-call handoffs • Producing weekly service-health summaries Let automation handle the routine steps so engineers can focus on resolution.
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12/14 — Grafana Workflows: automate operational busywork Now in public preview, Grafana Workflows brings event-driven automation across Grafana Cloud and external tools.
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11/14 — From conversion drops to root cause Critical User Journeys aims to help teams investigate important end-to-end user flows. For example, if checkout conversions suddenly drop, engineers can connect that business outcome to the underlying technical problem.
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10/14 — Continues Correlating real user actions with application telemetry can help teams move from “the service is healthy” to understanding what users actually experience
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10/14 — Observability moves closer to the end user 📱 Grafana is expanding Digital Experience Monitoring: 🔹 Session Replay — public preview 🔹 Mobile Observability — private preview 🔹 Critical User Journeys — private preview
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9/14 — Continues Imagine an agent that can understand: • Which service is affected • Which team owns it • Which runbook applies • What engineers have already investigated That is a much stronger foundation for AI-assisted operations.
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9/14 — AI agents need operational context, not just telemetry Grafana is bringing together service ownership, custom entities, relationships, and context from previous incidents.
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8/14 — The Knowledge Graph becomes central Continues .... New coverage includes frontend apps, cloud resources, synthetic checks, AI agents, and Microsoft SQL Server—with availability varying by feature. Better context means better investigations.
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8/14 — The Knowledge Graph becomes central Grafana Cloud's Knowledge Graph is becoming a platform capability available in every stack. It connects components, dependencies, and health information across your environment.
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7/14 — Finding the right log, faster 🔎 Full-text search in Grafana Cloud Logs is now generally available. Need to find a request ID or customer ID across huge volumes of logs? Search can help locate the relevant lines without scanning everything.
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6/14 — Smarter sampling, more useful signals Two capabilities stand out: 🔹 Volumetric Sampling: distributes sampling across services and request types. 🔹 Diversity Sampling: captures unique combinations of attributes over time. Both are generally available.
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5/14 Observability costs are getting attention 💰 Grafana is expanding Adaptive Telemetry: • Adaptive Metrics auto-apply — GA • Adaptive Logs Archive — public preview • Retrieve traces by ID even when Adaptive Traces sampled them out — GA
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4/14 — Dashboards meet AI-generated apps Grafana Pages is in public preview. Describe the visualization or experience you need, and Grafana Assistant can build an app-like page without requiring you to write code.
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3/14 From investigation to action Grafana Managed Sandboxes is now in public preview. It combines repo context with live telemetry to suggest fixes and prepare pull requests in a controlled environment. AI assistance, with a human in the loop. ✅
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