Remove Efficiency Remove Latency Remove Speed
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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

The agency can also efficiently compare the newest version of Easytravel against previous versions of the software with regression testing facilitated by SRG. These metrics are latency, traffic, errors, and saturation, all of which must be key considerations when curating user experience. The passing threshold is anything below 50 ms.

Speed 264
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Dynatrace on Microsoft Azure in Australia enables regional customers to leverage AI-powered observability

Dynatrace

This local SaaS presence minimizes latency and maximizes the speed and reliability of data access. As a SaaS vendor, Dynatrace carefully manages its deployments across different regions, assuring the efficient and optimal use of infrastructure to serve and support Dynatrace platform customers.

Azure 278
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API Design Principles for Optimal Performance and Scalability

DZone

The goal is to help developers, technical managers, and business owners understand the importance of API performance optimization and how they can improve the speed, scalability, and reliability of their APIs. API performance optimization is the process of improving the speed, scalability, and reliability of APIs.

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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

The Akamas vision is that only an autonomous optimization approach powered by AI can effectively enable performance engineers, SREs, and architects to identify the best configurations that ensure maximum service performance and resilience, at the lowest possible cost and at business speed. below 500ms) and error rates (e.g. lower than 2%.).

Latency 246
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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively.

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Service level objectives: 5 SLOs to get started

Dynatrace

As organizations digitally transform, they’re also accelerating the speed of software delivery. Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency primarily focuses on the time spent in transit. or above for the checkout process.

Latency 245