15
I Use This!
Very High Activity

News

Analyzed 1 day ago. based on code collected 2 days ago.
Posted almost 4 years ago by Vladimir Schreiner
“How Jet compares to Spark” and “why should I choose Jet over Spark” are arguably the most frequent questions I’ve been asked during the talks and workshops. While it is hard to assess the product fit without focusing on a concrete use-case, I’d ... [More] still like to compare concepts and architecture used under the hood of […] The post How Hazelcast Jet Compares to Apache Spark appeared first on Hazelcast. [Less]
Posted over 4 years ago by Neil Stevenson
Let’s start off the New Year with a fun code example! This example shows how Jet is used to spot the dramatically-named Death Cross for the price of Bitcoin, which is an indication to sell, Sell, SELL!. The idea here is that we could automatically ... [More] analyze stock market prices and use this information to guide […] The post Bitcoin’s Death Cross appeared first on Hazelcast. [Less]
Posted over 4 years ago by Mesut Celik
Istio is said to be the next thing if you follow the Kubernetes path, and service meshes are mentioned whenever you go to a cloud-native meetup or conference like KubeCon. However, you do not always leverage something for the sake of popularity. The ... [More] Hazelcast-Istio support discussion was started by a user after a GitHub issue […] The post Hazelcast with Istio Service Mesh appeared first on Hazelcast. [Less]
Posted over 4 years ago by Rafal Leszko
Data is valuable. Or I should write, some data is valuable. You may think that if the data is important to you, then you must store it in the persistent volume, like a database or filesystem. This sentence is obviously true. However, there are many ... [More] use cases in which you don’t want to sacrifice the […] The post Hazelcast Resilient to Kubernetes Zone Failures appeared first on Hazelcast. [Less]
Posted over 4 years ago by 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? ... [More] Deduplication is often used to achieve idempotency or effectively-once delivery semantics in messaging systems. Imagine […] The post Stream Deduplication with Hazelcast Jet appeared first on Hazelcast. [Less]
Posted over 4 years ago by 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 ... [More] applications where microseconds matter. The world’s most data-centric companies complement their systems of record, such as databases, with in-memory solutions […] The post Hazelcast Delivers Ultra-Fast Cloud Application Performance in IBM Cloud Pak for Applications appeared first on Hazelcast. [Less]
Posted over 4 years ago by 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 ... [More] surprise our users too much, but we also invested […] The post Hazelcast IMDG 4.0 BETA is Released appeared first on Hazelcast. [Less]
Posted over 4 years ago by 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 ... [More] always better than slower, right? It would be wonderful if we lived in […] The post In-Memory Computing for All (Ft. Intel Optane) appeared first on Hazelcast. [Less]
Posted over 4 years ago by 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 ... [More] named “manual scaling” which is based on human intervention. Kubernetes is no different in this particular use […] The post Hazelcast Autoscaling with Horizontal Pod Autoscaler (HPA) appeared first on Hazelcast. [Less]
Posted over 4 years ago by 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 ... [More] application development efforts. Stateful Mapping Operator Jet now has support for more general fault-tolerant, stateful operations that […] The post Hazelcast Jet 3.2 is Released appeared first on Hazelcast. [Less]