article thumbnail

Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult.

article thumbnail

Building High-Quality Software

DZone

Saving several hours preparing and doing a design review will cost hundreds (if not thousands of hours) of fixing issues down the road.nn> unit testsnnI don’t believe that I have to say that in 2021, but I have never seen a quality product without unit tests. We live in a time when everybody is irked by manual testing.

Software 245
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Boosted race trees for low energy classification

The Morning Paper

Boosted race trees for low energy classification Tzimpragos et al., We don’t talk about energy as often as we probably should on this blog, but it’s certainly true that our data centres and various IT systems consume an awful lot of it. So it’s interesting to see a paper using nano-Joules per prediction as an evaluation metric.

Energy 52
article thumbnail

Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. But energy consumption isn’t limited to training models—their usage contributes significantly more.

Cache 212
article thumbnail

Implementing AWS well-architected pillars with automated workflows

Dynatrace

If so, test against the response time objective under the same Site Reliability Guardian. If both objectives pass, you have achieved your cost reduction on CPU size. SRG validates the status of the resiliency SLOs for the experiment period. which shows your operational efficiency in your software delivery pipeline.

AWS 256
article thumbnail

Performance Testing with Open Source Tools – Myths and Reality

Alex Podelko

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. I remember really liking the technical side of these tests. But I must confess I was not too fond of having to report the results to stakeholders or deal with political/personal issues related to (poor) test results.

article thumbnail

Preliminary Thoughts on the White House Executive Order on AI

O'Reilly

adversarial testing to determine a model’s flaws and weak points), and not a wider range of information that would help to address many of the other concerns outlined in the EO. Operational Metrics. Energy usage and other environmental impacts. These include: What data sources the model is trained on.

Energy 117