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

Dynatrace

Organizations can customize quality gate criteria to validate technical service-level objectives (SLOs) and business goals, ensuring early detection and resolution of code deficiencies. Ultimately, quality gates safeguard code viability as it advances through the delivery pipeline. But how do they function in practice?

Speed 200
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Best practices and key metrics for improving mobile app performance

Dynatrace

From the customer perspective, mobile devices have become the singular touchpoint between businesses and users, for example, the new storefront, office, and customer support line. For example, an app that does not crash often but is frequently slow from a user’s perspective is providing a poor user experience.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

It provides a good read on the availability and latency ranges under different production conditions. Adding forking logic and complexity to the device code can create dependencies on device application release cycles that generally run at a slower cadence than service release cycles, leading to bottlenecks in the migration.

Traffic 339
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Dynatrace automatically monitors OpenAI ChatGPT for companies that deliver reliable, cost-effective services powered by generative AI

Dynatrace

One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability. Our example dashboard below visualizes OpenAI token consumption.

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Implementing service-level objectives to improve software quality

Dynatrace

In this example, “Reverse proxy” and “Front-end server” are clearly in the critical path. In this example, “hipstershop.currency,” “hipstershop.checkout” and “hipstershop.cart” are also part of this critical path. In this example, we’re creating an SLO with a target of 98% of our requests without errors. Reliability.

Software 256
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. <code> 127.0.0.1:6379> cmdstat_append:calls=797,usec=4480,usec_per_call=5.62

Metrics 130
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Automated observability, security, and reliability at scale

Dynatrace

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale.