Analytics Benchmarking Latency Monitoring 
Dynatrace
DECEMBER 27, 2022
Instead, they can ensure that services comport with the pre-established benchmarks. In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment. Latency is the time that it takes a request to be served. SLOs improve software quality. Reliability.
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.
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Percona
JUNE 22, 2023
A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM.
Scalegrid
JANUARY 12, 2024
To this vital function is workload automation which optimizes scheduling, execution, and monitoring processes for each individual task or process within cloud-based workflows. This makes it ideal not only for regular scalability but also for advanced analytics with intricate workload management capabilities.
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. Additionally, it became easy to provide deep links to different monitoring and deployment systems in Edgar due to consistent tagging.
The Netflix TechBlog
SEPTEMBER 2, 2020
In an earlier blog post, we discussed Telltale , our health monitoring system. In one request hitting just ten services, there might be ten different analytics dashboards and ten different log stores. Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service.
HammerDB
DECEMBER 5, 2020
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. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.
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