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

Dynatrace

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. Aligning site reliability goals with business objectives Because of this, SRE best practices align objectives with business outcomes.

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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 208
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Multi-CDN Strategy: Benefits and Best Practices

IO River

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. Multi-CDN is the practice of employing a number of CDN providers simultaneously.

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Multi-CDN Strategy: Benefits and Best Practices

IO River

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. Multi-CDN is the practice of employing a number of CDN providers simultaneously.

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Implementing service-level objectives to improve software quality

Dynatrace

In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment. Best practices for implementing service-level objectives. Establish realistic SLO targets based on statistical and probabilistic analysis. Define SLOs for each service.

Software 252
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.