Ahmet Alp Balkan

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

49

Anyscale 🤝GKE Through our continued collaboration with the Google Kubernetes Engine (GKE) team, we’re advancing the experience to scale Ray and Kubernetes in the cloud. This work includes: Label Selectors for improved scheduling: https://lnkd.in/gUZ8iVUW New Features for AI Scaling: https://lnkd.in/gAGSMiir Enhanced TPU Support: https://lnkd.in/gsKDvwpv

65

3 Comments

🚨 Supply Chain Attack Alert — Shai-Hulud 2.0 🚨 A major npm supply-chain attack is actively compromising popular packages and stealing GitHub/cloud credentials. Over 700+ packages and 25,000 repos are impacted. If you work with JavaScript, CI/CD, or cloud infra — please review your dependencies, rotate credentials, and audit your pipelines immediately. Supply-chain security is no longer optional. Stay vigilant. 🔐 🔗 More details: https://lnkd.in/g6qSY_-U #security #cybersecurity #npm #DevSecOps #supplychainattack

25

JFrog Fly is redefining how engineering teams manage artifacts in an AI-driven world. As software delivery becomes faster, distributed, and increasingly automated by AI, traditional artifact management can’t keep up. JFrog Fly introduces a smarter, globally scalable way to store, replicate, and deliver artifacts—built for modern engineering velocity. 🔗 Read the full blog to explore what this shift means for your DevOps pipeline. Link - https://lnkd.in/dUK_UFd8 #JFrog #AI #DevOps #SoftwareDelivery #CloudNative

23

"Pull all siloed AI projects into a one-page chart. Focus on the ones aligned with strategic goals, pause the rest, assign owners, remove roadblocks, and make clear what business value each delivers." – Julian Tang, AI Champion, BlackRock In this Pure Storage–sponsored episode of the #AIinBusinessPodcast, Julian Tang joins Emerj Artificial Intelligence Research Editorial Director Matthew DeMello to break down how enterprises can operationalize AI, align projects with strategy, and accelerate measurable outcomes. Retail and CPG leaders can uncover actionable frameworks to integrate AI into workflows, prioritize initiatives, and unlock ROI with greater clarity and speed. Listen to the full episode to discover actionable strategies for aligning AI projects with business goals and accelerating real results: https://lnkd.in/dxxHiDGU #EnterpriseAI #AIGovernance #AIWorkflow

3

1 Comment

🎉 Great tutorials on deploying a minimal vLLM production stack on an H100 machine using Kubernetes CRDs — a solid starting point for anyone building scalable LLM inference infrastructure.

29

When it comes to running Kubernetes across cloud, on-prem, and edge, Amazon EKS gives teams flexibility, but scaling that hybrid reality comes with new challenges. That’s where Palette steps in. In one of our latest guides, we explore 3 key use cases where Palette expands Amazon EKS capabilities to help teams: 🔸 Simplify compliance with hybrid deployments 🔸 Cut costs while modernizing infrastructure 🔸 Strengthen operational resilience for maximum uptime Whether you’re in a regulated industry or managing a distributed footprint, this guide shows how to gain control without complexity, and scalability without overhead. Learn more here 👉 https://okt.to/eBI5hV #Kubernetes #KubernetesManagement #CloudComputing #EKS #AWS

4

Learn how to scale sub-second latency queries from RAM to cloud storage using serverless functions, and navigate the real-world challenges of managing AWS Lambda at scale. Watch Liz Fong-Jones's talk from GOTO Chicago 2024. https://lnkd.in/deVWYY5d

2

📣 Have you heard? Big news for cloud-native teams using Amazon ECS! With native support built on Istio’s Ambient mode, ECS services can now join a unified mesh through a guided workflow, bringing zero-trust security, unified telemetry, and traffic policies to workloads that previously lacked a centralized service mesh solution. This development not only simplifies operations for ECS users, but also provides a reliable path forward for teams planning migrations from AWS App Mesh 🚀 Read the full article from Cloud Native Now: https://lnkd.in/gdBAukgN #AmazonECS #ServiceMesh #CloudNative #Istio #DevOps

7