Remove Benchmarking Remove Cache Remove Example
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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., Run phase is where each db is tested for different test conditions.

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Measure What You Impact, Not What You Influence

CSS Wizardry

Most metrics are not atomic: FCP, for example, isn’t a metric we can optimise in isolation—it’s a culmination of other more atomic metrics such as connection overhead, TTFB, and more. For the sake of ease, I’m going to use Largest Contentful Paint (LCP) as the example. For example, continuing our task to reduce CSS size: performance.

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

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View from Nutanix storage during Postgres DB benchmark

n0derunner

In this example from prior post. Since the DB is small (50% the size of the Linux RAM) – the database is mostly cached on the read side – so we only see writes going to the DB files. The post View from Nutanix storage during Postgres DB benchmark appeared first on n0derunner.

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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. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130
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Introducing Configurable Metaflow

The Netflix TechBlog

As an example, you can specify a Config that reads a pleasantly human-readable configuration file, formatted as TOML. Consider these examples from the updated documentation: You can choose the right level of runtime configurability versus fixed deployments by mixing Parameters and Configs. All environments already cached in s3.

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The Most Important MySQL Setting

Percona

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 139