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Closed-loop remediation: Why unified observability is an essential auto-remediation best practice

Dynatrace

The observability platform detects the anomaly and determines the root cause of the problem: increased traffic during peak usage hours, resulting in a server overload. Once fixes have been implemented and deployed, the platform scans for vulnerabilities once more and determines whether the vulnerabilities are still present.

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Efficient SLO event integration powers successful AIOps

Dynatrace

When the SLO status converges to an optimal value of 100%, and there’s substantial traffic (calls/min), BurnRate becomes more relevant for anomaly detection. Error budget burn rate = Error Rate / (1 – Target) Best practices in SLO configuration To detect if an entity is a good candidate for strong SLO, test your SLO.

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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. Data visualization : how to present, explore and interpret observability data from serverless functions intuitively, clearly, and holistically?

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Black Friday traffic exposes gaps in observability strategies

Dynatrace

What’s the problem with Black Friday traffic? But that’s difficult when Black Friday traffic brings overwhelming and unpredictable peak loads to retailer websites and exposes the weakest points in a company’s infrastructure, threatening application performance and user experience. Why Black Friday traffic threatens customer experience.

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Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

Of course, Hydrogen also comes with a set of pre-built and optimized components that know how to speak to the Shopify Storefront API and allow you to focus on presentation — the differentiated merchant value — instead of plumbing. With 100s of real-life examples , guidelines and best practices that you can apply right away.

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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure.

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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

Here are the talks from my immediate colleagues in building F, level 2 at Netflix: - Vadim Filanovsky (perf team) co-presented Auto Scaling Made Easy: How Target Tracking Scaling Policies Hit the Bullseye. Casey Rosenthal (traffic and chaos) Models of Availability. Casey Rosenthal (traffic and chaos) Models of Availability.

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