Hazelcast

Hazelcast modernizes applications with a unified real-time data platform.

[Hazelcast @hazelcast]

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: https://t.co/hEdVMpBZDY

#Hazelcast #DistributedSystems #Raft #Kubernetes #RealTimeData

[Hazelcast @hazelcast]

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

[Hazelcast @hazelcast]

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

https://t.co/fjvnnOCPDg

[Hazelcast @hazelcast]

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://t.co/G26c4Wko7W

#DataModeling
#SchemaEvolution
#InMemoryComputing

[Hazelcast @hazelcast]

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://t.co/Y81auwc83X

#SpringBoot #SpringSession #Java #Hazelcast #Resilience #HighAvailability

[Hazelcast @hazelcast]

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://t.co/TlGd00yRzg

#Spring #SpringSession #Java #Hazelcast #DistributedSystems

[Hazelcast @hazelcast]

“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: https://t.co/Z3qJ7xtogc

#finserv

[Hazelcast @hazelcast]

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: https://t.co/b6IuKyOaZ8
hashtag#realtimedata

[Hazelcast @hazelcast]

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://t.co/flL4ArBaoE
#ForresterWave #Finserv #Hazelcast #realtimedata

[Hazelcast @hazelcast]

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: https://t.co/uKFKQeiUnt

#techworkshops #hazelcast

[Hazelcast @hazelcast]

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

[Hazelcast @hazelcast]

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://t.co/Adan1gAw63
#RealTimeData #DataModernization #AI #DataArchitecture #Hazelcast

[Hazelcast @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: https://t.co/PFGc3zig6S

#RealTime #StreamingData #Hazelcast #ForresterWave

[Hazelcast @hazelcast]

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: https://t.co/i9rvhcC881
#ForresterWave #Hazelcast

[Hazelcast @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: https://t.co/N52NUOvvWE

[Hazelcast @hazelcast]

Howdy Dallas! Grab lunch with us on Dec 11 at 12:00pm CT for an interactive, hands-on workshop designed for developers, SREs, and architects who want to deepen their understanding of building high-performance, distributed data systems with Hazelcast.

We'll be covering:
👉 Hazelcast Fundamentals & Real-World Applications
👉AI Data Structures
👉Availability vs. Consistency (AP vs. CP)
👉Caching & Streaming Processing
👉Operational Resilience & Geo-Replication
👉Hands-on Lab + Expert Q&A

Grab your seat now!
https://t.co/o9YlGrShCT
#DataEngineering #DistributedSystems #DeveloperWorkshop

[Hazelcast @hazelcast]

Are your payment systems buckling under real-time demands? Batch processing and legacy databases—even "modernized" systems—simply can't keep up with the speed required for instant settlement.

In this 90-minute workshop hosted by InfoQ, Hazelcast senior solution architects @James Tso and Fabrizio Cannizzo will walk you through a live ISO 20022 reference implementation to show you how to build a true real-time architecture.


What we’ll cover:
* Overcoming scaling limits with distributed, in-memory data.
* Building cache-first, event-driven systems for instant settlement, fraud detection, and liquidity management.
* Managing state consistency and balancing streaming and transactional data.
* Implementing real-time observability with Prometheus & Grafana.


Register now to watch live or get the replay: https://t.co/czswXQVp2N

#RealTimePayments #SolutionArchitecture #FinTech #Finserv"

[Hazelcast @hazelcast]

London! 🇬🇧 The Innovation Roundtable at FIMA Events is happening today!

Join Hazelcast CEO Eric Bochner this afternoon as he leads the discussion on "Real-Time Data Architecture Modernization: What—and Why—to Prioritize on a Path to Impactful AI/ML."

If you want to move beyond the hype and build an architecture that actually delivers results, this is the session to attend.

🗓 Time: 4:30 PM – 5:30 PM GMT 📍 Location: Kia Oval, London

Full details here: https://t.co/Wr7p80qLhU

#AI #ML #DataArchitecture #RealTime #FinTech #FIMA"

[Hazelcast @hazelcast]

We’re excited to be at FIMA Events Europe at The Kia Oval in London!

As the premier gathering for data leaders in #FinServ, FIMA is the perfect venue to discuss how real-time data processing and in-memory performance are redefining business value. We are proud to be a sponsor and can't wait to connect with you.

Stop by the Hazelcast booth to discuss:
⚙️ AI-Readiness: Why real-time context is the critical (and often missing) ingredient for successful AI in finance.
🤝 Modernization without Disruption: How to inject speed and scale into legacy architectures without disrupting core operations.
🏎️ Extreme Performance: The architecture top-tier banks use for sub-millisecond latency at scale.
🧠 Real-Time Intelligence: Unified, instant views of customers, risk, and liquidity for your business units.

Unlock your data's potential. 👇 https://t.co/jTG0qH9NtR

[Hazelcast @hazelcast]

Being a remote-first company means we make the most of the time we spend together. It was lovely to see everyone who came to our London office social for a round of darts and a little old fashioned socializing. We will see you all again soon! #teamhazelcast