Infrastructure Latency Scalability Tuning 
Dynatrace
MAY 23, 2024
Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Failures can occur unpredictably across various levels, from physical infrastructure to software layers. This significantly increases event latency.
The Netflix TechBlog
OCTOBER 19, 2020
Now let’s look at how we designed the tracing infrastructure that powers Edgar. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls.
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The Netflix TechBlog
JANUARY 10, 2024
This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.
Percona
SEPTEMBER 1, 2023
While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.
Dynatrace
JULY 18, 2023
While infrastructure has historically been treated as a bottleneck where proper scaling and compute power are applied to improve performance, these aspects are now typically addressed by hyperscalers that offer cloud-based infrastructure and infrastructure as a service.
The Netflix TechBlog
NOVEMBER 3, 2023
On the Data Platform team, we build the infrastructure used across the company to process data at scale. This includes features such as autoscaling, the ability to manage pipelines declaratively via Infrastructure as Code, and a rich connector ecosystem. This makes the query service lightweight, scalable, and execution agnostic.
The Netflix TechBlog
MARCH 1, 2021
It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The third generation, called Reloaded , has been online for about seven years and has proven to be stable and massively scalable.
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