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IT Orchestration vs. IT Automation: What’s the Difference?

Pure Storage

In the context of computing, container orchestration specifically refers to the management of containerized applications, where containers encapsulate an application and its dependencies, making it portable and scalable across different computing environments.

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The SSD Trap: How a Storage Solution’s Reliance on SSDs Can Impact You (Part 1 of 2)

Pure Storage

From 2012 to 2019, AFAs have risen in popularity and now drive approximately 80% or more of all storage shipments for performant application environments. are needed to build a system to meet any given performance and capacity requirements. Consumer (PCs and mobile), not enterprise, SSDs comprise the volume market.

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Are Your Data Health Processes Fit for 2022?

Solutions Review

This elevates seemingly in-the-weeds capabilities such as continuous checking of data integrity in storage systems to be far more important than check-box features which might have been considered at the time of purchase, and then largely ignored. What is Data Protection? no marketing folks. Content must be.

Backup 40
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10 Times Agile Data Delivered Breakthroughs

Pure Storage

Powering Stock Market Apps with Global Data. Real-time data is used extensively in many trading applications to create intraday charts, monitor potential profits and losses, and get up-to-date information on stock volumes traded throughout the day. auto-generate orders. prepare and send invoices.

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Oracle DBaaS Products Comparison

Pure Storage

Organizations can quickly provision and scale databases according to their requirements, reducing time to market for applications. DBaaS is primarily focused on providing managed database services, while PaaS offers a broader platform for application development and deployment.

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Balancing Wireless Innovation With Wired Reliability

Security Industry Association

For the huge amounts of data generated by IoT devices in smart buildings, wired networks provide the necessary capacity and speed for efficient processing and transmission. This is particularly important for applications that require real-time data analysis or high data throughput.