HammerDB

APRIL 19, 2023

Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. As organizations digitally transform, they’re also accelerating the speed of software delivery. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording.

Latency 177

Latency Website Traffic Virtualization 177

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Measuring application performance is increasingly important because as organizations digitally transform, they’re also accelerating the speed of software delivery. for the workout video playback feature.

Traffic 173

Traffic Latency Website Virtualization 173

Tasktop

JUNE 25, 2020

I recall a question I posed to Nicole Bryan (now Tasktop’s Chief Product Officer) in those early days: If Tasktop provides the information highway for data to flow faster between collaborators, why don’t we also provide metrics and analytics on the speed and efficiency of their work? Tasktop Viz Flow Metrics Dashboard.

Metrics 52

Metrics Education Innovation Software 52

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

Media 214

Media Storage Processing Cache 214