Category: Hazelcast

Feed: Blog – Hazelcast. Author: Jaromir Hamala. Hazelcast Jet 3.2 introduces stateful map, filter, and flatmap operations, which are very strong primitives. In this blog, I am going to show you how to use stateful filter for detecting and removing duplicate elements in a stream. Why Deduplication? Deduplication is often used to achieve idempotency or effectively-once delivery semantics in messaging systems. Imagine you have a microservices architecture where individual microservices use a message broker to communicate with each other. Achieving exactly-once semantics is a hard problem. If you cannot have exactly-once then you are typically left with at-most-once and at-least-once ... Read More

Feed: Blog – Hazelcast. Author: Kelly Herrell. We are excited to announce that Hazelcast in-memory technologies are now available for sale from IBM with the IBM Cloud Pak™ for Applications. The Hazelcast in-memory computing platform is an ultra-fast processing architecture for mission-critical applications where microseconds matter. The world’s most data-centric companies complement their systems of record, such as databases, with in-memory solutions that operate in near real-time to accelerate applications and microservices, such as payment processing, fraud detection, stream processing and more. Built on Kubernetes and designed to run on Red Hat OpenShift, IBM Cloud Pak for Applications is one ... Read More

Feed: Blog – Hazelcast. Author: Matko Medenjak. It is my pleasure to announce that after 6 years a new major version of Hazelcast has been released! This new release brings a breath of fresh air into Hazelcast while also being more robust than ever. We did try to keep enough familiarity to not surprise our users too much, but we also invested a lot of time into bringing more intuitive and simpler API and SPI, as well as added some cool features to boot! This release also introduces lots of preparations and freedom for extending Hazelcast in the future. So, ... Read More

Feed: Blog – Hazelcast. Author: Dale Kim. If you had a choice of processing data in-memory versus not in-memory, all other things being equal, wouldn’t you always choose in-memory? You might not need the higher performance, but if it were available to you, you’d take it because faster is always better than slower, right? It would be wonderful if we lived in a world where the fastest computer medium was easily accessible to all. Everyone would be using that medium. Certainly, in-memory computing has gained a lot of momentum in recent years, but the fact is that RAM still comes ... Read More

Feed: Blog – Hazelcast. Author: Mesut Celik. Cloud technologies give you on-demand options so that you can create compute, disk, or network resources based on your requirements. When your demand changes, you update the infrastructure by releasing some resources or adding more. That is actually named “manual scaling” which is based on human intervention. Kubernetes is no different in this particular use case. If you create a service on top of Kubernetes and see more traffic than planned, you need to scale the number of pods to match the traffic coming to your application. Kubernetes has an automated solution to ... Read More

Feed: Blog – Hazelcast. Author: Can Gencer. We are excited to introduce Hazelcast Jet 3.2, the latest version of Hazelcast’s batch and stream processing platform. We’ve added a number of powerful capabilities that not only expands the addressable use cases, but also further simplifies your application development efforts. Stateful Mapping Operator Jet now has support for more general fault-tolerant, stateful operations that extend its capabilities beyond the types of windowing already supported (tumbling, sliding, session) and enable new types of operations such as pattern matching and event correlation. The simple example below illustrates how this new operator can be used ... Read More

Feed: Blog – Hazelcast. Author: Dan Ortega. In an ideal world, consumer-facing online businesses would deliver a consistent, efficient, and secure payment processing experience to their customers. Although there are lots of variables in running an e-commerce site, completing the sale is pretty much at the top of the list. When consumers go online to make purchases during a busy period such as Black Friday, they don’t expect to spend a lot of time “standing” in a virtual line; if they’re forced to, they will likely jump to another site. This is the cardinal sin of e-commerce; customers are standing ... Read More

Feed: Blog – Hazelcast. Author: Enes Akar. Securing your data is much more critical than ever before, as security breaches and cyber attacks continue to escalate. Security is a must, but generally, it requires tradeoffs in performance and user-friendliness. With Hazelcast Cloud, we provide you with several ways to secure your deployments without losing the performance and simplicity of Hazelcast.  Hazelcast Cloud leverages Hazelcast Enterprise, which has a very comprehensive security suite that enables you to secure your data in different layers and in different ways. In this article, I will explain the options and when you can enable them ... Read More

Feed: Blog – Hazelcast. Author: Dan Ortega. Transaction processing in today’s global payments networks is what essentially powers the global economy. The framework for transaction processing has expanded and morphed considerably over the past few years as consumers have started using their mobile devices to execute payments. Meanwhile, non-traditional deep-pocketed players like Google and Apple have entered the system with competitive alternatives, not to mention the fact that everyone everywhere is online all the time, and more often than not, they’re spending money. The implications for payment processors, banks, card providers, and others in the supply chain is that the ... Read More

Feed: Blog – Hazelcast. Author: Emin Demirci. Since the first release of Hazelcast Jet Extension Modules in July, we’ve been focused on enhancing the set of extension modules that we have to make the integration easy between Hazelcast Jet and third-party data providers.  Today, we are happy to announce the release of the following modules: MongoDB Connector MongoDB is a general-purpose, document-based, distributed database built for modern application developers and for the cloud era. With this connector, your Jet pipelines can ingest the query results from MongoDB or watch the changes to documents in a collection and emit those changes ... Read More