Hazelcast IMDG supports auto-discovery for many different environments. Since we introduced the generic discovery SPI, a lot of plugins were developed so you can use Hazelcast seamlessly on Kubernetes, AWS, Azure, GCP, and more. Should you need a custom plugin, you are also able to create your own. If your infrastructure is not based on […]
In-Memory Computing Planet® Blogs and Events
GridGain’s Stephen Leung is speaking in Shanghai today at the Huawei Global Finance (FSI) Summit 2019.
Ninety percent of all the word’s data did not exist two years ago. That’s how fast our collective data is growing. So it’s fair to assume that sometime in the next 24 months, the volume of data your organization relies on will at least double in size.
Another massive, transformative technology wave is about to hit, and while this won’t be quite as overt as some of the other waves (e.g., mobility, social media), its effect will be much more pervasive and will hit every consumer, business and industry on multiple levels. The next generation of mobile infrastructure, 5G, is in the […]
The post 5G and In-Memory Deliver on the Promise of Genuinely Cool Technology appeared first on Hazelcast.
Every second, each person in the world generates 1.7MB of data. Over ½ the world’s data was created in the last 2 years. Only 2% of that data has been analyzed. Those are the facts. The next question you should be asking is whether your business (or your customers’ business) is ready to handle (and ...continue reading Top Reasons to Get Data-Centric, Now!
GridGain is a Silver Sponsor of next week's Spark+AI Summit 2019 in San Francisco and our own Alexey Zinovyev will deliver a session titled, "Distributed ML/DL with Ignite ML module using Apache Spark as database." The conference runs from April 23-25.
Using Apache Kafka and MemSQL together makes it much easier to create and deliver intelligent, real-time applications. In a live webinar, which you can view here, MemSQL’s Alec Powell discussed the value that Kafka and MemSQL each bring to the table, shows reference architectures for solving common data management problems, and demonstrates how to implement real-time data pipelines with Kafka and MemSQL. Kafka is an open source messaging queue that works on a publish-subscribe model. It’s distributed (like MemSQL) and durable. Kafka can serve as a source of truth for data across your organization. Today, enterprise IT is held back …
The post Webinar: How Kafka and MemSQL Deliver Intelligent Real-Time Applications appeared first on MemSQL Blog.
Hazelcast Jet is known for its high-performance and this is partially due to it employing green threads. This approach avoids the need for operating system threads, which are expensive to switch. Instead, task switching is performed by the application code in a lightweight way. What are green threads? With “normal” threads, you ask the OS […]
Your z/OS developers work hard building robust, secure business services that are at the heart of your business. Are you doing enough to ensure that they are keeping abreast of the latest technologies in the industry, and focusing on how those technologies are being leveraged on Z? You have many choices when offering your team […]
The post Technical University: Valuable DevOps for IBM Z training appeared first on IBM IT Infrastructure Blog.
On November 6, 2018, we made our then-new production product, MemSQL 6.7, free to use, up to certain limits, described below. To date, we’ve had more than 3,000 sign-ups for this version, with numerous individuals and companies using MemSQL to do some amazing things. To quickly recap, with MemSQL any customer can sign up and start using our full featured product, with all enterprise capabilities, including high availability and security, for free. In talking to customers about their experience and what they’ve built, feedback has been astounding, with folks telling us they can’t believe what we’re giving away for free. …
The post 150 Days Later: How Customers are Using MemSQL for Free appeared first on MemSQL Blog.
Join us April 30 in Menlo Park for the next Bay Area In-Memory Computing Meetup!