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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Edge computing is a hot topic and carries with it some confusion, particularly around storage. Handling data properly at the edge can ensure a scalable, cost-effective and secure infrastructure - but failing to set up the right architecture can lead to data loss, security vulnerabilities and sky-high costs related to the bandwidth needed to transfer data repeatedly to and from
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There are two forces that are fundamentally remaking the technology landscape today. One is Kubernetes and the other is high performance Object Storage. They are powering (or are shaped by, depending on your perspective) modern, data-rich applications that include AI/ML and application logs. Either way, modern applications need Kubernetes and Object Storage and Kubernetes and Object Storage owe their
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Kubernetes has fundamentally altered the traditional application development and deployment patterns. Application development teams can now develop, test and deploy their apps in days, across different environments, all within their Kubernetes clusters. Previous generations of technology typically took weeks if not months. This acceleration is possible due to the abstraction that Kubernetes brings to the table, i.e. it deals
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Most developers don’t love managing infrastructure — including storage infrastructure. One of the great things about Kubernetes is the ability to simplify infrastructure management so that developers can focus on creating applications and let Kubernetes handle orchestration. Kubernetes does not natively manage storage infrastructure — but using MinIO and Kubernetes together can help provide the storage that applications need with the
Read more...MinIO previously imposed a much-discussed 32-node per cluster limit, which we lifted in December. There was no hard technical reason for the 32-node limit — you can use MinIO to create 1,000 node clusters. That reason we imposed the limit was to drive good architectural decisions. We learned, however, that some saw this as a limitation (indeed some competitors suggested
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This year’s Kubecon was the biggest yet on almost every vector: attendance, announcements and keynotes :). In between all of that were some stark themes on the state of the movement, the evolving vendor landscape and the challenges ahead. While there are some great summaries, we wanted to share our thoughts on what we saw and what we think the
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The term ‘cloud native’ is widely used in technical circles but doesn’t have a particularly clear definition. The confusion lies in the fact that being ‘cloud native’ has little to do with the environment your application is deployed to—the term is equally applicable to on-premise or the public cloud. Rather, the term refers to application and architecture characteristics.
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With another Strata in the rearview mirror, it is time to reflect on what we saw and heard during the week. Strata is clearly a data science show at this point but data science is broad topic. Our perspective, as a provider of high performance object storage, is framed accordingly and we focus on the data stack more than we
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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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