For this week’s episode, we spoke with Mike Yawn, a senior solution architect at Hazelcast, about the potential of in-memory computing to supercharge microservices and cloud native workloads. Yawn recently contributed a post to TNS explaining how an in-memory technologies could make microservices run more smoothly. Hazelcast offers an in-memory data grid, Hazelcast IMDG, along with stream processing software Hazelcast Jet. We wanted to know more about how in-memory could be used with microservices. While in-memory offers caching just like key-value database such as Redis, it also offers additional computing capacity, which can help process that data on the fly, Yawn explained.
For this week’s episode, we spoke with Mike Yawn, a senior solution architect at Hazelcast, about the potential of in-memory computing to supercharge microservices and cloud native workloads.
Yawn recently contributed a post to TNS explaining how an in-memory technologies could make microservices run more smoothly. Hazelcast offers an in-memory data grid, Hazelcast IMDG, along with stream processing software Hazelcast Jet. We wanted to know more about how in-memory could be used with microservices. While in-memory offers caching just like key-value database such as Redis, it also offers additional computing capacity, which can help process that data on the fly, Yawn explained.