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Kubernetes in the wild report 2023

Dynatrace

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory.

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AppFabric Caching: Retry Later

ScaleOut Software

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

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HammerDB for Managers

HammerDB

HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Cached vs Scaled Workloads. A key difference between cached and scaled workloads is the implementation of keying and thinking time to introduce a pause of time between transactions. Why HammerDB was developed.

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

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SQL Server on IoT Edge and Developer Machines – Smaller Footprint

SQL Server According to Bob

For example, Azure SQL Database Edge can already use TSQL Predict Machine Learning (ML) and Column Storage. The lock manager has partitions, lock block cache and other structures. Reduce the number of partitions and size of the cache. IO Request Caches. SQLPAL may cache I/O request structures with each thread.

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A persistent problem: managing pointers in NVM

The Morning Paper

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc.

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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

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