[Webcast] What does the future of data on Kubernetes look like?
Blog post from DataStax
In this podcast, Sam Ramji of DataStax discusses how GRPC and Cassandra can optimize performance in distributed systems. He explains that consistency is a major concern when dealing with distributed systems, and the CAP theorem plays an important role in understanding the trade-offs between consistency and availability. The panel also talks about the value of open source projects like Stargate, which aims to provide a data gateway for modern data applications. They emphasize the importance of reducing developer and operator toil by automating certain tasks and letting robots do the work. ```
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 57 | 794 | 116 | 43 | -38% |
| Real-time | 2 | 791 | 220 | 80 | +14% |
| Developer Experience | 1 | 71 | 48 | 31 | -41% |
| Observability | 1 | 477 | 94 | 32 | -18% |
| Platform Engineering | 1 | 16 | 7 | 4 | -58% |
| Secrets Management | 1 | 244 | 43 | 26 | -15% |
| TPUs | 1 | No monthly metrics for this publish month. | |||
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