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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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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. That said, your application may not be in the list of supported languages, but if it’s compatible with any of the available profilers, you can still produce flame graphs. Flame graphs are a graphical representation of function calls. ✔ Launching profiler.

Code 109
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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. Using data from Dynatrace and its SLO wizard , teams can easily benchmark meaningful, user-based reliability measurements and establish error budgets to implement SLOs that meet business objectives and drive greater DevOps automation. Availability.

Software 263
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In Defence of DOM­Content­Loaded

CSS Wizardry

However, as an internal benchmark, there are compelling reasons why some of you may actually want to keep tracking these ‘outdated’ metrics… Measure the User Experience The problem with using diagnostic metrics like Load or DOMContentLoaded to measure site-speed is that it has no bearing on how a user might actually experience your site.

Metrics 326
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What’s the Best PostgreSQL High Availability Framework? PAF vs. repmgr vs. Patroni Infographic

Scalegrid

Wondering which high availability framework to use for your PostgreSQL deployments ? We compared the top 3 frameworks, PostgreSQL Automatic Failover (PAF) vs. Replication Manager (repmgr) vs. Patroni , in our Managing High Availability in PostgreSQL series. PostgreSQL High Availability Framework Infographic.

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Cybersecurity Awareness Month 2023: Key themes and best practices for protecting against cyberthreats

Dynatrace

Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code. By leveraging code-level insights and transaction analysis, it can identify and prevent attacks without the need for manual configuration.

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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. <code> 127.0.0.1:6379> <code> 127.0.0.1:6379>

Metrics 130