Dynatrace

FEBRUARY 21, 2024

They help foster confidence and consistency throughout the entire software development lifecycle (SDLC). The following are specific examples that demonstrate quality gates in action: Security gates Security gates ensure code meets key security requirements defined by development and security stakeholders.

Speed 231

Speed Software Software Latency 231

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. service availability with <50ms latency for an application with no revenue impact. But there are SLO pitfalls. This can create an unnecessary distraction and steal time away from critical tasks.

DevOps 220

DevOps Metrics Best Practices Latency 220

Dynatrace

JUNE 1, 2023

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Latency Website Virtualization 173

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. to the broader community.

Performance 216

Performance Latency Open Source Metrics 216

Dynatrace

DECEMBER 22, 2021

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. What is observability?

Artificial Intelligence 201

Artificial Intelligence Metrics Architecture DevOps 201

All Things Distributed

NOVEMBER 29, 2017

However, many developers find them difficult to build and deploy. At Amazon Web Services, we've committed to helping you unlock the value of your data through ML, through a set of supporting tools and resources that improve the ML model development experience. You then specify the type and number of ML instances.

Tuning 88

Tuning AWS Scalability Infrastructure 88