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How We Built a High-Performance Storage Layer for Our Ultra-Heterogeneous Computing Cluster

DZone

Our aim is to become a global leader in basic research and innovation. Finding a storage solution for our ultra-heterogeneous computing cluster was challenging. We tried two solutions: object storage with s3fs + network-attached storage (NAS) and Alluxio + Fluid + object storage , but they had limitations and performance issues.

Storage 227
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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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Storage Strategies for PostgreSQL on Kubernetes

Percona

There are a wealth of options on how you can approach storage configuration in Percona Operator for PostgreSQL , and in this blog post, we review various storage strategies — from basics to more sophisticated use cases. For example, you can choose the public cloud storage type – gp3, io2, etc, or set file system.

Storage 100
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The value of open platforms: How an open software intelligence platform accelerates innovation

Dynatrace

Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. Data supports this need for organizations to flex and modernize.

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Platform engineering: Empowering key Kubernetes use cases with Dynatrace

Dynatrace

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. With higher demand for innovation, IT teams are working diligently to release high-quality software faster. But this task has become challenging. “The

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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. The post Data lakehouse innovations advance the three pillars of observability for more collaborative analytics appeared first on Dynatrace news.

Analytics 188
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The state of observability in 2024: Accelerating transformation with AI, analytics, and automation

Dynatrace

To unlock the agility to drive this innovation, organizations are embracing multicloud environments and Agile delivery practices. This fragmented approach leaves teams struggling to access the answers they need to accelerate innovation and optimize digital services effectively.

Analytics 193