Hazelcast

#FIMAEurope 2026 is returning to London– and we want to see you there. 🤝 Join us at Booth #2 to see why one-third of the world’s top 100 banks trust Hazelcast for mission-critical workloads including payments, fraud detection and risk management– and for the chance to win a pair of Apple AirPods Max 2!🎧 💰 Registering? Use code HAZELCAST10 to save 10% on your ticket. #FinancialServices #RealTimeData #Finserv #Hazelcast

An AI roadmap means nothing without the system-wide orchestration to back it up. Last week at #TechDay2026, Managing Director Anthon Danuprasetiyo opened by emphasizing that AI ambition alone will not create value without orchestrating #AI, #data, applications, workflows, and people into a single connected enterprise. If you missed it, here are 3 standout themes from the event👉ow.ly/hetM50ZWuc1

Thank you to @itgroupinc Indonesia for a connective, insightful day and for the gold sponsor award! #TechDay2026 was a great opportunity to share Hazelcast's technology and connect with the local community and our partners from ITG.

AI orchestration starts with the right data infrastructure. Hazelcast is proud to be a Gold Sponsor of ITG #TechDay2026 in Jakarta next week, where we'll be showcasing how we help organizations power real-time applications and build the data foundations for AI. Join our team for a live demo of Hazelcast's capabilities, connect with our experts, Rasheed Shaik and Jitender Singh Gahlot, and explore how real-time data can help move AI initiatives from experimentation to execution. Stop by the Hazelcast booth to meet the team and enter for a chance to win a pair of Airpods 5! #Hazelcast #ITGTechDay2026 #RealTimeData

Tomorrow: Scott McMahon at Atlanta JUG on real-time RAG in #Java - Kappa-style streaming ingestion, distributed #ML inference, partition tuning for #vectorsearch and a live image search demo built with @hazelcast Alerts. Tue 15 Sept, 6:30 PM ET. ow.ly/YPTL50ZNx4W

Hazelcast Platform 5.7 is here. Today we're releasing #Hazelcast Platform 5.7, along with Management Center 5.11 and Hazelcast Platform Operator 5.18! Check out our latest blog to learn more about how the release is organized around four things every #IT leader in #finserv is being asked to deliver on: resilience, consistency, performance, and efficiency. What's new: → Advanced CP (add-on for multi-DC topologies). Auto Leader Step Down moves Raft leadership off high-latency/quorum-only sites, so writes are bounded by the fastest quorum path. Smart Client Routing sends CP reads/writes straight to the leader — 28% throughput gain, lower tail latency through leadership changes. Plus CP Map for linearizable control-plane state. → Stream processing hardening (Jet). Lossless recovery from full cluster restart, live job upgrades, namespace isolation, job placement control. → Operator 5.18. Automatic TLS cert rotation without restart, faster pod recovery, GitOps-friendly logging. → Dynamic Diagnostic Logging GA. Enable detailed logging on demand, auto-disable after a window — no restart to troubleshoot prod. → Client upgrades. .NET 5.7.0: up to 3.4× PUT throughput, ~56% higher GET, 30–50% lower p99 — zero API changes. C++ gains in the same direction. Python AsyncIO support. Mgmt Center 5.11 ships alongside, with Prometheus V2 support and real-time CP leadership visibility. Read More: ow.ly/fMs950Z5eZZ #Hazelcast #DistributedSystems #Raft #Kubernetes #RealTimeData

Today we're releasing #Hazelcast Platform 5.7, along with Management Center 5.11 and Hazelcast Platform Operator 5.17! This update is engineered to ensure strong consistency that stays predictable on real infrastructure, not just on a whiteboard. Check out our latest blog to learn more about the premium capability pulling it all together- and how the release is organized around three things every #IT leader in #finserv is being asked to deliver on: resilience, observability, and performance. #fintech #java

Last year we took over stewardship of the Spring session Hazelcast module. Have you explored what the Spring Session Hazelcast transition will mean for your projects? 🛠️ Auto-configured session maps: No more manual index setup for principal lookups. 📦 Safer serialization: Reduce inconsistent serializer configuration failures 🏗️ Streamlined Client/Server relationships: Improves how session attributes can be handled 📖 A complete, explicit configuration guide: Clarifies the onboarding and configuration process Drop any questions in the comments below 👇 #SpringBoot #Java #SpringSession #DevOps ow.ly/rmZR50YxFSF

Applications change constantly, and that means data models and schemas must change as well. How do systems that serve critical workloads manage those changes while the system is live? Hazelcast solves this with Compact Serialization and its support for schema evolution. Check out this new blog by Fabrizio Cannizzo, where he walks through: 🪛 How this works in practice 🔨 What changes are safe (and which are not) 🛠️ How to evolve live data resiliently Read more: ow.ly/gYBY50Yl9wi #DataModeling #SchemaEvolution #InMemoryComputing

Most Spring Boot apps still store sessions locally — fine… until a node restarts or a region goes down. In this walkthrough, we show how to: Replace local HttpSession with Hazelcast Spring Session Add cluster backups in a few lines of config Enable Geo (/WAN) replication for cross-region resilience Run active-active with failover ✅ No application code changes — just a dependency + configuration. If you run Spring Boot and care about session resilience, this is a practical guide. 👉 See the example: ow.ly/8M5g50YhT7O #SpringBoot #SpringSession #Java #Hazelcast #Resilience #HighAvailability

Hazelcast now maintains the Spring Session Hazelcast module — and v4.0 is the first release under our stewardship. What’s new in 4.0 Improved client/server architecture support (no server-side class deployment required) Safer default serialization setup Session map auto-configuration Clearer, explicit configuration guidance ⚠️ Note: Backwards-incompatible package + Maven coordinate changes If you’ve hit serializer mismatches, index setup issues, or client/server friction, this release is worth a look. 👉 Read the full breakdown + migration guide: ow.ly/FXVH50YhTgx #Spring #SpringSession #Java #Hazelcast #DistributedSystems

“By decoupling critical reads from Oracle and serving #data at in-memory speed, we eliminated latency and unlocked independent scaling across 300 #microservices, turning our architecture into a growth engine that keeps the #digitalbanking experience fast even at over 25 million daily transactions—and gives our teams a platform they can build on quickly.” Want to learn a magic trick? Check out how the team at @ING Turkiye created a centralized, high-speed data layer accessible to every microservice that immediately improved data access, system responsiveness, and made bottlenecks ... 🪄disappear. Read more here: ow.ly/iCVL50Y5w5L #finserv

Did you know Hazelcast offers free on-demand trainings for building real-time apps with hashtag#Hazelcast? Check out our most recent course on hashtag#VectorSearches, or go back to the basics with our Essentials. Plus, walk away with an official LinkedIn Badge to share your accomplishment. Get started: ow.ly/oc3F50XWluF hashtag#realtimedata

To build a real-time stack, you often have to stitch together separate systems—a streaming engine for processing and a cache/database for state management. This creates two taxes on your business: 1️⃣ The Latency Tax: Network hops to external datastores make sub-millisecond performance impossible. 2️⃣ The Complexity Tax: Managing two distributed clusters doubles operational burden and failure points. Hazelcast solves this by unifying stream processing and in-memory data grid (IMDG) in a single runtime. Our customers get submillisecond latency, 50% reduction in infrastructure costs, and a resilient platform trusted by some of the world's largest financial institutions for mission-critical use cases like payment processing. If you want to learn more about what we believe earned us the recognition of a Strong Performer among 15 providers in The Forrester Wave™: Streaming Data Platforms, Q4 2025, check out this blog: ow.ly/HHZv50XTxCh #ForresterWave #Finserv #Hazelcast #realtimedata

From Guangzhou to Dallas, this year has been packed with smart folks and engaging conversations. Thank you to everyone who has come to our #developer and #architect workshops! If you want to come learn and connect with us in the new year, sign up for one of our upcoming workshops here: ow.ly/llvL50XNmjO #techworkshops #hazelcast

Happy holidays from our team at Hazelcast! #Hazelcast #HappyHolidays

How do you modernize your data architecture, move beyond batch processing and data siloes to enable faster decisions, better customer experiences, and real-time AI/ML? Join our Head of Product Marketing Ashish Sahu, Senior Solution Architect Samir Sharma, and guest speaker Forrester's VP principal analyst, Noel Yuhanna, as they discuss: 🎯How the market and vendors define “real-time” today 🎯 The most common bottlenecks to extracting real-time value from data 🎯Where real-time data fits in modern AI, and applications—and how this differs from past approaches 🎯How to deliver a real-time experience across continents while managing sovereignty, consistency, and control If you're a data, platform, or application architect seeking clear modernization paths, check out this 60-minute webinar that includes practical guidance and a fraud detection demo: ow.ly/wbnG50XNlAn #RealTimeData #DataModernization #AI #DataArchitecture #Hazelcast

Forrester Wave has named Hazelcast a Strong Performer in Streaming Data Platforms, Q4 2025. What’s our secret? We don't just connect to the data; we bring the compute to the data. ⚡ This unique architecture is the core of our unified live data platform—a fault-tolerant, high-performance engine that seamlessly combines high-performance stream processing with an in-memory data grid. Read the blog here: ow.ly/Je1u50XIxLR #RealTime #StreamingData #Hazelcast #ForresterWave

Have you heard the news? 👀 We’ve been named as a Strong Performer in the Forrester Wave for Streaming Data Platforms, Q4 2025! Access your complimentary copy of the Forrester Wave report here to learn why: ow.ly/60WS50XGRNO #ForresterWave #Hazelcast

Microservices architectures sound great ‐ until reality shows up. Join Hazelcast senior solution architects Peter Whitney to explore the real-world challenges that emerge once microservices hit scale ‐ the tough stuff most architecture diagrams conveniently ignore. We'll dig into proven strategies for managing distributed state, reducing latency, ensuring consistency, and processing data in real time ‐ all while keeping your system architecture manageable. What you'll take away: 👉Patterns for solving common bottlenecks in microservices 👉Approaches to coordination, state, and performance at scale 👉Live demos of techniques in action using Java-first tooling 👉Ideas for reducing complexity without adding yet another system 👉Dinner and a chance to win prizes Save your seat: ow.ly/CyTQ50XGqbj