Open Source Projects:
Hazelcast Blog

Hazelcast Blog

Auto-Scaling Clusters with Hazelcast Cloud

Enes Akar

As cloud technologies evolve, applications require less human intervention and maintenance. “Serverless” is a term that implies that users should have nothing to do with servers. The most exciting claim of serverless functions is that they scale automatically as the user base and load grows. Moreover, when there is no user activity, there will be […]

Learn More

Serverless Fraud Detection Using Amazon Lambda, Node.js, and Hazelcast Cloud

Nazarii Cerkas

Recently, an interesting paper was published by UC Berkeley with their review of serverless computing and quite reasonable predictions: “…Just as the 2009 paper identified challenges for the cloud and predicted they would be addressed and that cloud use would accelerate, we predict these issues are solvable and that serverless computing will grow to dominate […]

Learn More

Announcing the First Release of Hazelcast Jet Extension Modules

Emin Demirci

We are excited to announce the new repository for extension modules of Hazelcast Jet. This repository will be home for the Hazelcast Jet extension modules, including connectors (including both sources and sinks), custom aggregations, and context factories. All of these modules will help make the integration easier for 3rd-party products in your pipelines. The main […]

Learn More

The Role of Streaming Technology in Retail Banking

Dan Ortega

Stream processing refers to real-time management of data entering a banking system (or any information system, actually) at high speed and volume, usually from a broad range of sources. The “management” aspect means data is wholly or partially processed and contextualized before entering an in-memory (operational) system, where pre-processing can significantly accelerate response times. Before […]

Learn More

Hazelcast Jet 3.1 is Released

Can Gencer

After releasing Hazelcast Jet 3.0 in May, we are happy to announce its first update, Hazelcast Jet 3.1. Hazelcast Jet is now an Apache Beam Runner Apache Beam is a framework for building distributed batch and stream processing applications over a unified API. The API itself is decoupled from the underlying execution implementation, making it […]

Learn More
Pricing
Chat
Contact
Back to top
Loading

No posts were found matching that criteria.

Auto-Scaling Clusters with Hazelcast Cloud

Enes Akar
by Enes Akar | August 08, 2019

As cloud technologies evolve, applications require less human intervention and maintenance. “Serverless” is a term that implies that users should have nothing to do with servers. The most exciting claim of serverless functions is that they scale automatically as the user base and load grows. Moreover, when there is no user activity, there will be […]

Serverless Fraud Detection Using Amazon Lambda, Node.js, and Hazelcast Cloud

Nazarii Cerkas
by Nazarii Cerkas | July 24, 2019

Recently, an interesting paper was published by UC Berkeley with their review of serverless computing and quite reasonable predictions: “…Just as the 2009 paper identified challenges for the cloud and predicted they would be addressed and that cloud use would accelerate, we predict these issues are solvable and that serverless computing will grow to dominate […]

Announcing the First Release of Hazelcast Jet Extension Modules

Emin Demirci
by Emin Demirci | July 17, 2019

We are excited to announce the new repository for extension modules of Hazelcast Jet. This repository will be home for the Hazelcast Jet extension modules, including connectors (including both sources and sinks), custom aggregations, and context factories. All of these modules will help make the integration easier for 3rd-party products in your pipelines. The main […]

The Role of Streaming Technology in Retail Banking

Dan Ortega
by Dan Ortega | July 16, 2019

Stream processing refers to real-time management of data entering a banking system (or any information system, actually) at high speed and volume, usually from a broad range of sources. The “management” aspect means data is wholly or partially processed and contextualized before entering an in-memory (operational) system, where pre-processing can significantly accelerate response times. Before […]

Hazelcast Jet 3.1 is Released

Can Gencer
by Can Gencer | June 27, 2019

After releasing Hazelcast Jet 3.0 in May, we are happy to announce its first update, Hazelcast Jet 3.1. Hazelcast Jet is now an Apache Beam Runner Apache Beam is a framework for building distributed batch and stream processing applications over a unified API. The API itself is decoupled from the underlying execution implementation, making it […]

The One Beam to Rule Them All

Greg Luck
by Greg Luck | June 26, 2019

Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business – IoT sensor network data streams, mobile usage statistics, large scale monitoring, the list is endless. Numerous applications seek the ability to quickly react to dynamic streaming data, as it is either a mandatory requirement or a competitive advantage. API Churn As a consequence, lots […]

Rolling Upgrade Hazelcast IMDG on Kubernetes

Rafal Leszko
by Rafal Leszko | June 25, 2019

Hazelcast IMDG is tightly integrated into the Kubernetes ecosystem thanks to the Hazelcast Kubernetes plugin. In previous blog posts, we shared how to use auto-discovery for the embedded Hazelcast and steps for scaling it up and down using native kubectl commands. In this post, we’ll focus on another useful feature, Rolling Upgrade. You can apply […]

Accelerating the System of Now

Kelly Herrell
by Kelly Herrell | June 18, 2019

The megatrends that have been driving the adoption of Hazelcast by the world’s largest organizations are now strikingly clear: Enterprises are awash in data and must leverage it for business advantage New applications must process stored and streaming data Application latency is the new downtime. The money is in the microseconds To meet these needs […]

Testing the CP Subsystem with Jepsen

Ensar Basri Kahveci
by Ensar Basri Kahveci | June 03, 2019

At Hazelcast we take reliability very seriously. With the new CP Subsystem module, Hazelcast has become the first and only IMDG that offers a linearizable distributed implementation of the Java concurrency primitives backed by the Raft consensus algorithm. In addition to well-grounded designs and proven algorithms, reliability also requires a substantial amount of testing. We […]

Free Hazelcast Online Training Center

Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.