Software Performance Systems Technology 
Dynatrace
SEPTEMBER 3, 2024
trillion this year 1 , more than two-thirds of the adult population now relying on digital payments 2 for financial transactions, and more than 400 million terabytes of data being created each day 3 , it’s abundantly clear that the world now runs on software. With global e-commerce spending projected to reach $6.3
Dynatrace
DECEMBER 22, 2021
Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.
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Dynatrace
OCTOBER 15, 2021
These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. In fact, these technologies have become so prevalent that anybody who may not know the full scope of the topic may be afraid to ask.
Alex Podelko
APRIL 18, 2021
MongoDB shared a lot of information on how we do performance testing and even open sourced some parts of it. One of main reasons I joined MongoDB recently was my excitement about the technology. 34 (2020), Performance Testing with David Daly , is another good introduction. The MongoDB Podcast, Ep.
The Netflix TechBlog
FEBRUARY 20, 2019
by Jason Koch , with Martin Spier , Brendan Gregg , Ed Hunter Improving the tools available to our engineers to help them diagnose, triage, and work through software performance challenges in the cloud is a key goal for the cloud performance engineering team at Netflix. We have introduced the Cividis color scheme for heat maps.
Alex Podelko
OCTOBER 13, 2016
. – New Technologies. Agile development eliminates the main problem of tradition development: you need to have a working system before you may test it, so performance testing happened at the last moment. And practical agile development is struggling with performance testing in particular.
All Things Distributed
NOVEMBER 29, 2017
Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. The challenges begin with collecting, cleaning, and formatting training data.
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