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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

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7 Best Performance Testing Tools to Look Out for in 2021

DZone

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. With rising competition in the digital world and the requirement to be present in the top rank of the category, makes performance tests crucial for companies.

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Why business resiliency depends on unified observability and security

Dynatrace

In many ways, the shift to cloud computing and the adoption of cloud-native architectures have enabled organizations to realize greater resiliency alongside scalability. Each of these factors can present unique challenges individually or in combination.

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Automated Deployment and Architectural Validation with Pitometer and keptn!

Dynatrace

At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. The outcome of the presentation and the follow up discussions at Neotys PAC lead to Pitometer! It takes your artifacts (e.g:

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Dynatrace and Google Cloud: Intelligent Kubernetes observability and automation

Dynatrace

By deploying applications as many separate microservices managed by Kubernetes, these environments can become complicated, especially if the organization has a multi-cloud, hybrid-cloud architecture, or is using elements of a legacy-cloud environment.

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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. While this abundance of dashboards and information is by no means unique to Netflix, it certainly holds true within our microservices architecture. What is Edgar?

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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. SLOs must be evaluated at 100%, even when there is currently no traffic. What characterizes a weak SLO? Use the default transformation.