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PMM Is Getting a Modernized Enterprise-Grade Foundation

Percona

With Enterprise Linux 7 nearing its end-of-life date, the Percona Monitoring and Management (PMM) team has done a significant update to the base operating system we build our images on top of. we’re making PMM publicly available on a newer base operating system based on Enterprise Linux 9 (EL9), specifically Oracle Linux 9.

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How to Assess MySQL Performance

HammerDB

Among the different components of modern software solutions, the database is one of the most critical. Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. Operating System: Ubuntu 22.04 Database: MySQL 8.0.31

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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

The success of our early results with the Dynamo database encouraged us to write Amazon's Dynamo whitepaper and share it at the 2007 ACM Symposium on Operating Systems Principles (SOSP conference), so that others in the industry could benefit. This was the genesis of the Amazon Dynamo database.

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What is APM?

Dynatrace

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Dynatrace news.

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Failure Modes and Continuous Resilience

Adrian Cockcroft

A resilient system continues to operate successfully in the presence of failures. There are many possible failure modes, and each exercises a different aspect of resilience. A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system.

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Failure Modes and Continuous Resilience

Adrian Cockcroft

A resilient system continues to operate successfully in the presence of failures. There are many possible failure modes, and each exercises a different aspect of resilience. A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system.

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The top 5 reasons to run your own database benchmarks

HammerDB

As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. If you only test your own application (and if you have more than one application which one will you use for benchmarking?)