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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. or 99.99% of the time.

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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. Lighthouse.

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Google's June 2nd Outage: Their Status Page ? Reality

DZone

On Sunday June 2nd, Google Cloud Platform had an extended networking-based outage. There was significant disruption of commonly used services like YouTube and Gmail, as well as Google-hosted applications like Snapchat. From 11:48 to 12:03 latency was also elevated for europe-west2 to europe-west2 regional bucket access.

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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

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.

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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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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

Kubernetes microservices applications are a striking example of the complexity of today’s modern application and IT stacks. To illustrate how Akamas approach works for Kubernetes microservices applications the webinar, the example of Google Online Boutique is used during the webinar. The Akamas approach. lower than 2%.).

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