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Benchmarking the AWS Graviton2 with KeyDB

DZone

This article compares KeyDB running on several different M5 & M6g EC2 instances to get some insight into cost, performance, and use case benefits. We are, of course, referring to the Amazon EC2 M6g instances powered by AWS Graviton2 processors.

AWS 130
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. This not only results in cost savings by minimizing hardware requirements but also has the potential to decrease cloud expenses.

Tuning 52
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52
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Kubernetes for Big Data Workloads

Abhishek Tiwari

A recent performance benchmark completed by Intel and BlueData using the BigBench benchmarking kit has shown that the performance ratios for container-based Hadoop workloads on BlueData EPIC are equal to and in some cases, better than bare-metal Hadoop [7]. Performance. Final thoughts.

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The Return of the Frame Pointers

Brendan Gregg

It was also a virtual machine that lacked low-level hardware profiling capabilities, so I wasn't able to do cycle analysis to confirm that the 10% was entirely frame pointer-based. and we may have been flying close to the edge of hardware cache warmth, where adding a bit more instructions caused a big drop.

Java 145
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DBaaS vs Self-Managed Cloud Databases

Scalegrid

This type of database offers scalability with no downtime along with giving businesses control over what resources they use through customization capabilities such as choosing hardware infrastructure options or building security measures around it. Make sure to read our extensive article on DBaaS Pros and Cons !

Database 130
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The top 5 reasons to run your own database benchmarks

HammerDB

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”