Shyh-Shyan Hsu

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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In-memory databases are the architectural backbone of real-time AI. They���re a necessary advantage for memory-intensive workloads that rely on instant access to context. Modern systems like Redis blend durability, multi-model flexibility (JSON, vectors, time-series), and tiered storage to deliver the speed of memory with the reliability of disk. The result? Real-time analytics, instant personalization, and AI systems that actually feel intelligent. Here’s how we deliver the speed of memory with the reliability of disk: https://lnkd.in/gSm65kdB

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Azure devs, meet your new best friend: Azure Managed Redis. AMR delivers a fully-managed, scalable in-memory data store for high-performance, reliable, and secure apps, alongside simplified deployment and robust security. Redis Product Manager Purna Mehta guides you through how you can create a new cache using the Azure portal: https://lnkd.in/dM4ZVpDk 

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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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Redis licensing changes have teams rethinking their in-memory data strategy. 🧠 Valkey offers the same performance without vendor lock-in or licensing surprises—making it the smart choice for organizations that want control over their infrastructure roadmap. Our guide breaks down the practical differences, migration paths, and long-term implications so you can make the right call for your stack. 👉 https://bit.ly/4n71bff

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Cribl Search gives you one lens across all your telemetry data no matter where it lives. Instead of forcing teams to move data into one system or jump between tools, you get a familiar pipe based query experience with dashboarding and alerting built in. Storage and query processing stay separate so you decide where your data lives while your users get fast, simple access in one place. Clint Sharp

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Who needs self-service? In this article, Conduktor’s VP of Engineering, Matt Searle, talks about his own experiences attempting to balance developer autonomy alongside platform stability. His key insight? Govern Kafka, or risk havoc. Read his latest blog—and learn more about how Conduktor can help you implement self-service with guardrails. https://lnkd.in/ejWTRctu

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In Distributed Systems, Complexity Isn’t the Enemy - Blind Spots Are Our latest white paper introduces the DURESS framework—a practical method to monitor system health using five core metrics: Duration, Utilization, Rate, Error, and System Saturation. From latency to load, DURESS gives you the clarity to optimize performance, catch failures early, and drive better decisions. 📊 Real-world scenarios 🛠 Tool recommendations (Prometheus, Grafana, AWS CloudWatch) ⚠️ Proactive monitoring strategies 🚀 Built for modern, distributed architectures 👉 Read the full guide: #AI #Technology #Future #Digital

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Master Kubernetes with LearnKube's Advanced Kubernetes workshop! What should you expect? - Learn how to architect and design clusters from the ground up (in the cloud or on-prem). - Explore the Kubernetes internal component and how the system is designed with resiliency in mind. - Deep-dive into the networking components and observe the packets flowing into the cluster. - Hands-on labs to test the theory with real-world scenarios! - And more. The next course starts in September: https://lnkd.in/ge4aYVZq We also run in-person courses and private training: https://lnkd.in/g9N3m-Xr

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Learn how Akuity boosted Argo CD performance and simplified infrastructure by moving from Redis to Dragonfly. A great example of how API-compatible, modern data infrastructure can drive efficiency without code changes. Check out the full case study to see the results. https://hubs.la/Q041Lw7L0 #ArgoCD Argo Project #GitOps #Kubernetes

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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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When the cloud dominates IT expenditures, FinOps offers a smart approach for cutting costs. But how do you ensure your cost management practice can deliver cloud ROI? Research from Foundry reveals the best practices to maximize cloud cost optimization. Learn how you can double your savings, accelerate results with AI, and source the highest payouts: https://bit.ly/4iWOktv #FinOps #ITCosts #FinancialGovernance #cloudexpensemanagement #cloudcostmanagement #cloudcostcontrol #CloudOptimization #CloudSavings #CloudStrategy #AI #cloudspendmanagement #tangoe #finopsservices #2025expensemanagement #finopsstrategy

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At Intellicredence, we help teams move from code to production with confidence: ◆ CI/CD pipelines that cut release cycles ◆ Kubernetes orchestration at scale ◆ Infrastructure as Code for repeatable, auditable environments ◆ SRE practices to boost reliability and reduce MTTR Outcomes: faster deploys, fewer incidents, higher uptime, lower costs. Let’s align your toolchain to the four key metrics (deploy freq, lead time, change fail rate, MTTR) #DevOps #SRE #CICD #Kubernetes #IaC #Observability #PlatformEngineering #Cloud #Reliability #Intellicredence

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Scaling a database shouldn’t mean complexity, downtime, or vendor lock-in. That’s why we built a side-by-side guide comparing CockroachDB and Oracle Globally Distributed Database (GDD) highlighting the ways CockroachDB delivers on distributed SQL in a more resilient, flexible, and simple way than Oracle GDD. 🗳️ Download the guide: https://cockroa.ch/4noA5AF

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People often ask how our VPs are prepared before working with clients.​ ◉ They don’t get placed and then “figure it out.”​ ◉ They train inside structured workflows first.​ ◉ They practice inside system environments.​ ◉ They review documentation for accuracy.​ ◉ They shadow real processes.​ ◉ They’re supervised while owning parts of the workflow.​ ​ By the time they’re client-facing, they’ve already operated inside structure - not just studied it.​ That preparation shows up in the details. #Savvital #AIEnabledOperator #SavvitalTraining​

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Why are development teams moving beyond traditional state machines for distributed systems? Our new blog explores how Temporal’s Durable Execution model lets developers write simple, reliable Workflow code without the complexity of manual state tracking. Learn how you can eliminate boilerplate, improve reliability, and focus on business logic instead of infrastructure plumbing. Read it here: https://lnkd.in/ggmJMtAr

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Cribl Stream helps you control how data flows. Imply Lumi helps you control how data is stored and searched. Together, they deliver a modern observability architecture built for control, performance, and efficiency: - Route and retain what matters most - Search quickly and interactively across all retained data - Integrate seamlessly with your existing stack - Reduce costs without disrupting workflows Lumi isn’t just a faster backend — it’s part of a next-generation architecture that decouples storage, indexing, and query from the observability tools above. That means greater flexibility, less lock-in, and a solid foundation for what comes next. https://bit.ly/49iAXm1

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