Bart Robertson

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👇

127

5 Comments

While GraphQL is a game-changer for complex, multi-client data fetching, it becomes an "architectural tax" when applied to simple CRUD apps or flat data structures where REST excels. To avoid performance and security debt, prioritize batching with DataLoaders, enforce query depth limits, and treat your schema as a stable product contract rather than a mirror of your database.

4

1 Comment

Project Loom isn’t “green threads 2.0” nostalgia; it’s the moment Java finally lets you write simple, blocking code and still scale like a modern, high‑throughput system. ​ This piece nails why it’s different this time: virtual threads are a first‑class JVM feature, backed by today’s hardware and cloud economics, not a clever user‑space hack fighting the runtime. ​ For anyone sitting on a large Java estate, Loom is less about micro‑benchmarks and more about a once‑in‑a‑generation chance to rip out years of callback/reactive contortions and reclaim straightforward concurrency without surrendering performance.

1

If you are building or evaluating adding AI to reliability, this is a must watch. This episode of Slight Reliability breaks down where AI helps in SRE and operations, and where it falls short. Causely founder Shmuel Kliger, explains why modern observability turned operations into a big data problem, and why causal reasoning is required to infer the single upstream cause behind many degraded services. A practical conversation about reducing toil, avoiding AI hype, and focusing on what actually works. Full episode here: https://lnkd.in/epj_x7q6

20

Have you ever wanted to use your #OpenShift #Virtualization environment for testing #baremetal deployments, for things like #ZTP automation or to test the new #ClusterInstance deployments introduced in OpenShift 4.18? But what if you don't have any bare metal systems to test with? Well, I've got you covered. Over the last few weekends, I've been working on a project called kubevirt-redfish. It allows you to run VMs on an OpenShift Virtualization or KubeVirt cluster, and make #Redfish calls directly to VMs as if they were true OOB bare metal systems. It leverages a Chassis-based Redfish-compliant API model, which is then mapped to a namespace, and this allows you to assign users/passwords to a given group of VMs. It leverages OpenShift routes for TLS and easy application discovery, or you can use your favorite ingress-controller with a normal #Kubernetes/#KubeVirt cluster. Interested? Check it out here: https://lnkd.in/es4JyGvM

48

4 Comments

The majority of companies interviewing developers are asking questions relevant 5-10 years ago - the tectonic plates have shifted, learn an AI-Native development workflow or become obsolete. Algorithms are secondary, structure and process are now king. 👑

3

10 Comments

Really enjoyed this new podcast episode with Chief Product Officer of MariaDB, Vikas Mathur. He gave what I think is the clearest explanation so far of how MariaDB balances open source community innovation with enterprise-grade reliability. Community brings us the spirit of open source, early feedback at scale, and broad adoption — the “core” innovation stays open and free. Enterprises need more: mission-critical support, advanced security, HADR, and performance guarantees. That’s where the enterprise edition comes in. It’s not about closing things off, but about creating a synergy: the community accelerates product evolution, while enterprise funding and requirements ensure MariaDB can keep investing in the open source core. This combination is what allows #MariaDB to remain more open than #MySQL, and more innovation-friendly than #PostgreSQL. Well worth a listen if you want to understand how MariaDB is navigating this balance while pushing forward on #AI, #performance, and #cloud. https://lnkd.in/dkhqw8bV #MariaDB #OpenSource #Database #Community #Enterprise #Innovation #AI #VectorSearch #SQL #Cloud #MySQL #PostgreSQL #DigitalTransformation #TechStrategy

21

2 Comments

LiteLLM is an open-source proxy that connects your app to LLMs through one unified interface. Paired with Redis, it gives AI and ML teams a simple yet powerful way to unify access to LLMs, accelerate response times, and make AI apps real-time. Redis handles performance, memory, and data coordination that modern AI apps demand, while LiteLLM handles abstraction and routing. Our AI Product Marketing Manager Rini Vasan dives into: ▶️ What LiteLLM is ▶️ Why it works well with Redis ▶️ How LiteLLM and Redis work together Learn how to scale your LLM gateway with LiteLLM & Redis: https://lnkd.in/gqsTebF7

32

Small footprint eXtremeDB offers more features than any other database management system, giving professional developers reliability, speed and connectivity solutions for current needs and future growth.  Unique features include: - Active Replication Fabric to mitigate IoT connectivity issues - A *hard* real-time option - In database analytics. Pipeline over 150 built-in vector based statistical functions for the lowest possible latency when processing time series data Learn more: https://t.ly/y0nf- #EmbeddedDevelopment #extremedb #DatabaseManagement for #embeddedsystems #iotsolutions #indatabaseanalytics

7

Julia Blase, Product Manager at Chronosphere, discusses how observability needs to evolve alongside Kubernetes. She explains that Kubernetes brought dynamic, scalable infrastructure, and monitoring systems must follow suit. The future requires on-demand instrumentation and dynamic data collection that can scale up and down based on needs, helping teams optimize costs while getting the right insights at the right time. Watch the full interview: https://ku.bz/X6tgWrG0P

2