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Best practices and key metrics for improving mobile app performance

Dynatrace

Examples of observability data include metrics, logs, and traces which provide visibility into the app’s behavior and performance at different levels of the stack, including the application code, infrastructure, and network. Load time and network latency metrics. Issue remediation. Performance optimization.

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. Aligning site reliability goals with business objectives Because of this, SRE best practices align objectives with business outcomes.

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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. More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. Note : you might hear the term latency used instead of response time.

Latency 173
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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere.

Speed 126
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Automated Change Impact Analysis with Site Reliability Guardian

Dynatrace

This is where Site Reliability Engineering (SRE) practices are applied. SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems.

DevOps 215
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Measuring application performance is increasingly important because as organizations digitally transform, they’re also accelerating the speed of software delivery. More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery.

Traffic 173
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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