Hazelcast

03/23/2026

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 👇


https://ow.ly/jCmk50YxFRQ

02/24/2026

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: https://ow.ly/EqE350Yl9wm

02/20/2026

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: https://ow.ly/r73X50YhT7P

02/19/2026

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: https://ow.ly/2V5k50YhTbu

01/29/2026

“By decoupling critical reads from Oracle and serving at in-memory speed, we eliminated latency and unlocked independent scaling across 300 , turning our architecture into a growth engine that keeps the 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 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: https://ow.ly/3Lmv50Y5w5M

01/13/2026

Did you know Hazelcast offers free on-demand trainings for building real-time apps with hashtag ? Check out our most recent course on hashtag , or go back to the basics with our Essentials. Plus, walk away with an official LinkedIn Badge to share your accomplishment. Get started: https://ow.ly/j9c350XWluE
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01/08/2026

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: https://ow.ly/wYfe50XTxCx

In a crowded market of streaming data platforms, differentiation is often lost in a sea of feature checklists. Against this backdrop, Hazelcast was

12/29/2025

From Guangzhou to Dallas, this year has been packed with smart folks and engaging conversations. Thank you to everyone who has come to our and workshops! If you want to come learn and connect with us in the new year, sign up for one of our upcoming workshops here: https://ow.ly/S2f350XNmkq

12/24/2025

Happy holidays from our team at Hazelcast!

12/22/2025

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: https://ow.ly/1qYG50XNlAo

12/12/2025

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: https://ow.ly/Vn0Q50XIxLQ