Here’s Hazelcast’s Miko Matsumura speaking with James Governor, RedMonk analyst. You may want to go full screen in order to read the embedded slides. James says about In-Memory Data Grid:...
Having fault-tolerance can be a factor to choose a distributed system even if the expected load can be handled by a single machine - a distributed system can tolerate failures...
Kubernetes brings new ideas on how to improve the performance of your microservices. You can use a cache or a distributed in-memory store and set them up with several different...
While a microservices architecture is more scalable than a monolith, it can unexpectedly result in a direct hit on performance. To cope with that, one performance improvement is to set...
In this session, Huseyin will talk about how to create a multi-tenant environment on Kubernetes to build a managed service. He will share the golden rules of building a managed...
Faster, smarter, more connected, always-on, boundary-less – this is the experience now expected from financial institutions. Users are demanding today what was considered exceptional yesterday – touchless banking, instant payments,...
Recently Hazelcast Management Center team faced the challenge of finding the right way to store large volumes of time series data. After considering all possible options, we had to build...
For decades, a sharp divide was drawn between information technology (IT) and operational technology (OT). The former is concerned with enabling data-driven business decisions, and the latter is concerned with...
Retail has become truly digital. Customers demand frictionless always-on experiences across all devices and all channels. Trends such as Touchless Retail and Buy-Online Pick-up Curbside or in-store are only accelerating...
There is frequently an “impedance mismatch” between developing and training a machine learning model (a data scientist’s job) and then deploying that model to perform at scale in a production...