Perhaps the biggest takeaway from VMworld was the “all in” bet that VMware is making on Kubernetes. VMware wasn’t shy about its ambition, with CEO Pat Gelsinger stating that “We will be the leading enabler of Kubernetes.” This reflects the reality of the market. Kubernetes has become the industry standard. Furthermore, Kubernetes has grown into more than just orchestration,
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The demise of Hadoop is probably overblown. It will not suddenly disappear from the enterprise landscape - there are simply too many clients, too much sunk investment for it to vanish into the night. What is not overblown is the fact that Hadoop, like countless technologies before it, is in secular, irreversible decline. There are a number of reasons but
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Synopsis: A denial-of-service (DoS) possibility against the MinIO server was discovered and has been fixed in RELEASE.2019-08-07T01-59-21Z. Severity: Medium Who is affected: All users of the MinIO server version RELEASE.2019–03–06T22–47–10Z or newer are affected. Further, all users of the MinIO gateway version RELEASE.2019–03–06T22–47–10Z or newer using STS are affected
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Few would argue with the statement that Hadoop HDFS is in decline. In fact, the HDFS part of the Hadoop ecosystem is in more than just decline - it is in freefall. At the time of its inception, it had a meaningful role to play as a high-throughput, fault-tolerant distributed file system. The secret sauce was data locality. By co-locating
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The power of scale is well-documented in the world of business. Cloud providers - Amazon in particular - have amassed extraordinary scale in a very short period of time. The cloud providers are now using this scale to rearchitect how enterprises interact with their data. They are remaking the enterprise data landscape with two primary levers: price and performance. Let’
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Apache Spark is a framework for distributed computing. It provides one of the best mechanisms for distributing data across multiple machines in a cluster and performing computations on it. Spark achieves this by constructing data structures called RDDs (Resilient Distributed Datasets). RDDs allow data to be broken into disparate chunks and processed independently of one another. The individual chunks can
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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
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Well written software is fast software. When MinIO was conceived it was designed from scratch to be simple, to scale (because simple things scale better) and to be fast. Simplicity and scale have their own subjective and objective measures - but fast is generally a numbers game. When you take well-written, fast software and pair it with fast hardware the
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We approach things differently here at MinIO. When we started in 2014, we questioned everything about the object storage market as we built our product - thinking more like a data company than a storage company. We did it from scratch, using engineering first principles, an extraordinary attention to detail and a relentless pursuit of simplicity. We paid careful attention
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High performance object storage is one of the hotter topics in the enterprise today. On the one hand, object storage has become an indispensable part of the enterprise storage strategy (public or private cloud) - carrying the vast, vast majority of the enterprise burden when measured in TBs or PBs. On the other hand, object storage has traditionally served a
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