Episode 131: in-Memory Computing Meets Cloud Native Computing
Update: 2020-08-28
Description
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.
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.
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