Dynatrace
MAY 23, 2024
The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. ShuffleBench i s a benchmarking tool for evaluating the performance of modern stream processing frameworks. Recovery time of the latency p90.
Dynatrace
JANUARY 4, 2024
Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical.
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The Morning Paper
DECEMBER 5, 2019
Benchmarking spreadsheet systems Rahman et al., When spreadsheets were originally conceived, data and formula were input by hand and so everything operated at human scale. Increasingly we’re dealing with larger and larger datasets — for example, data imported via csv files — and spreadsheets are creaking. Rahman et al.
Dynatrace
NOVEMBER 22, 2022
The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. How can IT teams deliver system availability under peak loads that will satisfy customers?
HammerDB
OCTOBER 23, 2023
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. On MySQL, we saw a 1.5X
DZone
AUGUST 2, 2022
I have generally held the view that replicating data to a secondary system is faster than sync-ing to disk, assuming the round trip network delay wasn’t high due to quality networks and co-located redundant servers. This is the first time I have benchmarked it with a realistic example. Little’s Law and Why Latency Matters.
Dynatrace
DECEMBER 27, 2022
Instead, they can ensure that services comport with the pre-established benchmarks. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs improve software quality. SLOs aid decision making.
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