Dynatrace
JUNE 28, 2022
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. Dynatrace combines Synthetic Monitoring with automatic release validation for continuous quality assurance across the SDLC.
Dynatrace
FEBRUARY 16, 2023
McKinsey summarizes the importance of this focus: “Every company uses energy and resources; every company affects and is affected by the environment.” Thresholds influencing these calculations are derived from Google Compute Engine recommendations, although you have full configuration control to adjust these thresholds to your needs.
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Dynatrace
SEPTEMBER 13, 2023
And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? But how can you ensure that your applications meet these pillars and deliver the best outcomes for your business? which shows your operational efficiency in your software delivery pipeline.
Rigor
OCTOBER 30, 2019
One free tool has become prominent in the space – Google Lighthouse – and one question often bubbles up: “I use Google Lighthouse for one-off snapshots of my site’s performance, so why do I need a performance monitoring solution?” Where Google Lighthouse Shines Bright.
Dynatrace
JANUARY 31, 2024
But energy consumption isn’t limited to training models—their usage contributes significantly more. Integrations with cloud services and custom models such as OpenAI, Amazon Translate, Amazon Textract, Azure Computer Vision, and Azure Custom Vision provide a robust framework for model monitoring.
Dynatrace
NOVEMBER 2, 2023
Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies. Public, private, and hybrid cloud computing platforms such as Microsoft Azure and Google Cloud provide access, development, and management of cloud applications and services.
DZone
NOVEMBER 9, 2021
Many more complex and subtle problems emerge only in production and could be caught via monitoring/alerting/analysis.nnThis is probably the newest addition to my list. They are rerun(in the best case) and thus defeating the whole purpose of this exercise while spending tons and tons of time/money/energy on this).nn>
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