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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40
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It’s time to migrate from NAM to Dynatrace

Dynatrace

Application availability and performance measured using network probe technology. Technology developments come in waves. In parallel, network technology developments ensured that centralized mass-sniffing was no longer feasible because of the costs. This approach works as long as application traffic can be decrypted.

Network 166
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Observability platform vs. observability tools

Dynatrace

For example, in 2005, Dynatrace introduced a distributed tracing tool that allowed developers to implement local tracing and debugging. A database could start executing a storage management process that consumes database server resources. The case for an integrated observability platform.

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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story.

Servers 90
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No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

No Server Required - Jekyll & Amazon S3. The increasing sophistication of client-side JavaScript has redefined what dynamic means; where in the past dynamic content would be mainly server generated, today much content is served statically with JavaScript on the client side doing the dynamic modifications. No Server Required.

Servers 126
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.