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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

MySQL Azure Performance Benchmark. In this benchmark report, we compare MySQL hosting on Azure at ScaleGrid vs. Azure Database for MySQL across these three workload scenarios: Read-Intensive Workload: 80% reads and 20% writes. Benchmark configurations. Just getting started? MySQL Read-Intensive Performance.

Azure 299
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

An application example is a session store recording recent actions. Application example: photo tagging; add a tag is an update, but most operations are to read tags. Application example: user profile cache, where profiles are constructed elsewhere (e.g., Application example: user status updates; people want to read the latest.

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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures.

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Benchmarking spreadsheet systems

The Morning Paper

Benchmarking spreadsheet systems Rahman et al., Increasingly we’re dealing with larger and larger datasets — for example, data imported via csv files — and spreadsheets are creaking. construct a set of benchmarks to try and understand what might be going on under the covers in Microsoft Excel, Google Sheets, and LibreOffice Calc.

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What is application modernization? How to pick an application modernization strategy

Dynatrace

Document and benchmark existing applications, processes, and services. Or, the team might use specific serverless designs as part of the modernization efforts. Measuring new performance requirements against benchmarks and other migration efforts can help teams refine processes and improve application usage and performance.

Strategy 227
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. offers the Software Watchdog specifically designed for this purpose.

Metrics 130
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What is FinOps? How to keep cloud spend in check

Dynatrace

The result is smarter, data-driven solutions designed to manage cloud spend. Additionally, include benchmarks for stakeholders and best practices that support the anticipated growth of the organization as a whole. A few examples of FinOps strategic cloud initiatives include the following: Cloud-unit economics. What is FinOps?

Cloud 195