Jacek Furmankiewicz

Enterprise systems don’t run on SQL alone. That’s why your AI Agent now works with Redis. Build things like: > Prompt cache inspectors > AI cost dashboards > Queue monitoring panels Inspect live state. Control operational layers. Ship internal control planes in hours.

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RAG applications break in mysterious ways. Slow retrieval because your vector store is overloaded. Bad answers because retrieval returned irrelevant docs. Silent API failures breaking your pipeline. Without observability, you're debugging blind. LlamaIndex + OpenTelemetry + SigNoz gives you end-to-end visibility. See exactly where time goes: document chunking, embeddings, retrieval, or LLM generation. Track what matters: embedding batch durations, retrieval similarity scores, token usage, user feedback. Get connected traces showing complete request flows instead of scattered logs. Includes a demo RAG chatbot built with our docs to show the instrumentation in action.

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If your team is building with LLMs, you know the value of clean, retrievable data. That's why we're teaming up with Unstructured to streamline one of the hardest parts of AI development. This integration removes friction across the AI stack—from unstructured ingestion to semantic retrieval—so your teams can focus on building. Read more from our Product Marketing Managers, Rini Vasan and Jim Allen Wallace, and Unstructured’s Head of Developer Relations, Maria Khalusova here: https://lnkd.in/e98QqXAB

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Researchers found a Redis exploit called RediShell that turns misconfigured servers into easy targets. The 13-year-old bug affects many Dockerized Redis instances. Watch to learn what happened.

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Most teams overspend on in-memory data stores because scaling means throwing more hardware at the problem. Dragonfly Cloud Enterprise changes the equation: 💰 𝗚𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 𝗺𝗶𝗻𝗶𝗺𝘂𝗺 𝟯𝟬% 𝗹𝗼𝘄𝗲𝗿 𝗰𝗼𝘀𝘁 than Redis Cloud or ElastiCache. 🖥️ Utilize every CPU on every machine and waste nothing. 🏗️ Manage significantly less infrastructure for the same workload. ✅ Efficiency built into every layer of the architecture. Do more with less and finally stop paying the "Redis tax." 👉 Learn how: https://hubs.la/Q03GdXYc0 #Redis #Valkey #CostEfficiency #CloudOptimization #FinOps #Scalability

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Reveal 1.8.0 introduces two major upgrades that make building embedded analytics faster, smarter, and more scalable: Conditional Formatting and the Redis Cache Provider. These updates help developers, data teams, and enterprise users deliver clearer insights and higher performance with less complexity. Whether you are enhancing dashboards with color logic or optimizing query speeds for high traffic applications, Reveal continues to set the standard for customizable embedded BI that simply works: https://lnkd.in/dh3SgXp8

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Your CI/CD bill is not exploding because of “expensive runners,” it is bleeding out through flaky tests, over-parallelized jobs, and slow feedback loops that quietly tax every deploy This piece shows you how to redesign pipelines so you cut compute waste, shrink queues, and speed up developer flow without adding yet another approval gate or YAML religion Full breakdown in the comments. #DevOps #CICD #PlatformEngineering

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Infrastructure is finally catching up to the speed of GPU innovation. John Mao breaks down the launch of the CNode-X server—adding GPUs directly into the VAST-certified hardware stack to collapse architectures and accelerate SQL and vector search like never before. See how VAST is resetting the performance bar for the inference era👇

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