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Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →
Welcome to The New Stack Context, a podcast where we discuss the latest news and perspectives in the world of cloud native computing. 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. The New Stack editorial and marketing director Libby Clark hosted this episode, alongside TNS senior editor Richard MacManus, and TNS managing editor Joab Jackson. Subscribe: SoundCloud RSS | Soundcloud | Fireside.fm | Pocket Casts | Stitcher | Apple Podcasts | Overcast | Spotify | TuneIn | Castro
If you have four systems with 8GB [each], then you can effectively have a 32GB system and you can go up to dozens or hundreds of nodes, depending on your memory usage,” he said.
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