The promise/allure of the public cloud is based on the concept that it is elastic. One can, with little effort, scale up workloads and, if desired, scale down those same workloads. We have written on this subject before - from the perspective of what workloads to consider as you evaluate what to take to the public cloud and what
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KES is a stateless and distributed key-management system for high-performance applications. We built KES as the bridge between modern applications - running as containers on Kubernetes - and centralized KMS solutions. Therefore, KES has been designed to be simple, scalable and secure by default.
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As data has grown, so has the challenge associated with moving it. Indeed, the bandwidth costs to migrate a PB of data out of AWS would be more than keeping it there for years. Still, customers often need to move large amounts (100s of TBs up to PBs) with some frequency. Amazon knows this and has, in their intensely customer
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The growth of Presto in the enterprise is a function of its speed, SQL compatibility, extensibility and enterprise feature set. While initially designed to speed up Hadoop, the success of the project has led to much broader adoption - on S3, Cassandra, MySQL, and more. Presto allows for data queries that traverse data stores and locations - a big plus
Read more...Containers running on orchestration platforms like Kubernetes, Docker Swarm, DC/OS et al. offer powerful, versatile ways to deploy applications. Containers let you deploy isolated application instances, and you can launch multiple such instances to scale up your load serving capacity. You don’t even need to worry about individual server capacities and scheduling thanks to orchestration tool, which provide
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