Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
Maintain a consistent customer experience and eliminate delays and downtime through Hazelcast web session clustering.
Looking for DEVELOPER content on web session clustering?
Hazelcast.org | IMDG Open Source
Web and application servers can scale out to handle huge loads with devices such as load balancers, which also provide redundancy. However, this setup introduces a new problem for applications that use web sessions: if a server fails and the load balancer moves the user to a new server, the session is lost. The solution to this problem is to provide web session clustering.
Open-source applications typically provide a way to plug in a web session clustering solution but do not provide the clustering mechanism itself. Commercial application servers may provide a clustering mechanism, but these are typically neither robust nor performant.
Hazelcast maintains user sessions in its cluster in memory, creating multiple copies for reliability. Every application server is set up to access Hazelcast so that all have access to all user sessions. In the event of an application server failure, the load balancer redirects the session to another application server. The handoff to the new application server is seamless for the user for the highest level of customer experience.
High Performance with No Application Modification Required
The Hazelcast platform processes all data in memory, so it delivers extremely fast performance for web session clustering for the best possible user experience. Hazelcast scales horizontally, so as your online business grows, it’s easy and cost-effective to expand your capacity.
Hazelcast provides web session clustering with native integration for Tomcat and Jetty web servers. Hazelcast can also be integrated with generic application servers through the use of filters. Hazelcast is delivered as a compact JAR file that is installed directly on the server, so it doesn’t require any modifications to your applications.
As an in-memory solution, performance of web session clustering and replication is very high, and needs no alterations to your application tier. Perform web session clustering without modifying existing applications.
As your online business grows and customers increasingly use your website, Hazelcast can keep up with the load by adding new Hazelcast members to extend your cluster capacity.
Hazelcast IMDG is an in-memory data grid, so all data operations are handled in-memory. This gives users of your online business a significantly faster (and better!) user experience.
Configure Web Session Replication to use an existing cluster as a session store, so web servers will request session data from a central Hazelcast cluster, helping your development operations team save maintenance across your company.
300ms to 2ms
Latency reduction in inventory fulfillment
For top 10 retailer in US
Time to commit to purchase delivery
Drive Customer Satisfaction at Scale
Drive customer satisfaction to higher levels
Through web session clustering, the most important part of your business (people spending money) is always on, and always available.
Speed that drives innovation
In-memory speed supported by constant availability opens up new opportunities for service innovation across nearly all facets of your organization.
Deliver a consistent customer experience
In-memory speed enables back-end infrastructure to constantly adapt to changing conditions with no noticeable effect at the application (customer) layer.
Hazelcast is an open source, highly scalable, transactional, distributed/partitioned implementation of queue, map, set, list, lock and executor services for Java. Hazelcast is for you if you like to easily: share data/state among many servers (e.g. web session sharing), cache your data (distributed cache), cluster your application, partition your in-memory data, send/receive messages among applications, distribute workload onto many servers, take advantage of parallel processing or provide fail-safe data management.
In-memory data grids are already widely used for scaling web applications with caching, clustering and session replication. What is less known is that IMDGs have other great features that make them an excellent fit for modern web applications. This talk will explore the use of distributed data structures to push live data to the browser as soon as it updates. In particular we will focus on Entry Listeners and Continuous Query in combination with WebSockets to power a real-time web app.
In this video tutorial, Hazelcast cloud software engineer Rafal Leszko walks you through the steps to get Hazelcast running in embedded mode in a Kubernetes cluster.
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.