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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

Benefits of quality gates Quality gates provide several advantages to organizations, including the following: Optimized software performance : Quality gates assess code at different SDLC stages and ensure that only high-quality code progresses. Several tools can be used to collect metrics in load/performance testing.

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Service level objectives: 5 SLOs to get started

Dynatrace

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. Fitness apps : During the pandemic, fitness apps boomed.

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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Teams can build on these SLO examples to improve application performance and reliability. Note : you might hear the term latency used instead of response time.

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Common SLO pitfalls and how to avoid them

Dynatrace

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.

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Observability platform vs. observability tools

Dynatrace

With observability, teams can understand what part of a system is performing poorly and how to correct the problem. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Traces provide performance data about tasks that are performed by invoking a series of services.

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Extending Vector with eBPF to inspect host and container performance

The Netflix TechBlog

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.

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Accelerate Machine Learning with Amazon SageMaker

All Things Distributed

Built-in, high-performance ML algorithms, re-engineered for greater, speed, accuracy, and data-throughput. Amazon SageMaker then sets up the distributed compute cluster, installs the software, performs the training, and tears down the cluster when complete.

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