Dynatrace

MAY 23, 2024

ShuffleBench i s a benchmarking tool for evaluating the performance of modern stream processing frameworks. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. This significantly increases event latency.

Engineering 180

Engineering Tuning Latency Open Source 180

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. Instead, they can ensure that services comport with the pre-established benchmarks. This process includes benchmarking realistic SLO targets based on statistical and probabilistic analysis from Dynatrace.

Software 263

Software Software Benchmarking Latency 263

Dynatrace

MAY 5, 2021

Quality gates are benchmarks in the software delivery lifecycle that define specific, measurable, and achievable success criteria a service must meet before moving to the next phase of the software delivery pipeline. For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites.

Benchmarking 183

Benchmarking Latency Speed Software 183

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. Replication lag can occur due to various factors such as network latency, system resource limitations, complex transactions, or heavy write loads on the primary/master database.

Performance 104

Performance Monitoring Traffic Database 104

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40

C++ Benchmarking Virtualization Open Source 40

The Netflix TechBlog

SEPTEMBER 2, 2020

Tracing as a foundation Logs, metrics, and traces are the three pillars of observability. Metrics communicate what’s happening on a macro scale, traces illustrate the ecosystem of an isolated request, and the logs provide a detail-rich snapshot into what happened within a service. The downside is that we have so many dashboards.

Latency 296

Latency Transportation Engineering Traffic 296