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

Dynatrace

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider.

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The Fastest Google Fonts

CSS Wizardry

That said, the convenience of a service like Google Fonts cannot be overstated. Their ability to serve the tiniest possible font files tailored to specific user agents and platforms is amazing, and with such a huge, freely-available library served from Google-grade CDNs… I definitely see why people continue to turn to it.

Google 364
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Maximize user experience with out-of-the-box service-performance SLOs

Dynatrace

According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success.

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Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. In this example, “Reverse proxy” and “Front-end server” are clearly in the critical path. In this example, we’re creating an SLO with a target of 98% of our requests without errors. Reliability.

Software 269
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

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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. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Less visibility into the internal state and behavior of the functions.

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

Dynatrace

As a result, site reliability has emerged as a critical success metric for many organizations. The following three metrics are commonly used to measure success: Service-level agreements (SLAs). These metrics are the factors and service levels that must be achieved for each activity, function, and process to deliver on the SLA.