Dynatrace
FEBRUARY 1, 2020
This approach was already at its limit back in 2008 when an Akamai CDN network had only ~25,000 delivery nodes. Stay tuned for Part 2. If you enjoyed this post, stay tuned for the follow-up post where we’ll give you a walk-through of how you can get HTTP error visibility into 3rd party tools using Dynatrace RUM.
SQL Performance
SEPTEMBER 17, 2019
This article will cover many areas that database administrators need to be aware of in order to properly license, recover, and tune a Reporting Services installation. SSRS 2008 brought that component into the reporting service module. Tuning Options. Tuning SSRS is much like any other application. General Tuning.
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Dynatrace
JULY 24, 2023
The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving. Business process automation Business process automation is the foundation for improving operational efficiency.
The Netflix TechBlog
AUGUST 29, 2023
A brief history of IPC at Netflix Netflix was early to the cloud, particularly for large-scale companies: we began the migration in 2008, and by 2010, Netflix streaming was fully run on AWS. This is the first in a series of posts on our journey to service mesh, so stay tuned. It’s been a great experience working with you all on this.
Percona
APRIL 14, 2023
During the recession of 2008, they experienced firsthand how fast money and assets can vanish. Tune and optimize to improve performance Even if you consider your database platform modern, simple database tuning and optimization can speed up your processes significantly.
SQL Performance
MARCH 17, 2020
Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. Finding a small number of distinct values might seem like quite a specific requirement, but I have come across it fairly frequently over the years, usually as part of tuning a larger query. Test Environment. Final Thoughts.
O'Reilly
SEPTEMBER 19, 2023
” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.”
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