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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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AI-powered DNS request tracking extends infrastructure observability for high quality network traffic

Dynatrace

With all the data collected and powered by our Davis AI-driven causation engine, Dynatrace automatically identifies slowdowns in your applications and services and points you to their root cause. Ensure high quality network traffic by tracking DNS requests out-of-the-box. Network services visibility (DNS, NTP, ActiveDirectory).

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Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. For example, if you’re monitoring network traffic and the average over the past 7 days is 500 Mbps, the threshold will adapt to this baseline.

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The keys to selecting a platform for end-to-end observability

Dynatrace

Such fragmented approaches fall short of giving teams the insights they need to run IT and site reliability engineering operations effectively. This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time.

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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

By the summer of 2020, many UI engineers were ready to move to GraphQL. The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations.

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Title Launch Observability at Netflix Scale

The Netflix TechBlog

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? To detect issues proactively, we need to simulate traffic and predict system behavior in advance.

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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. Once Dynatrace sees the incoming traffic it will also show up in Dynatrace, under Transaction & Services. Dynatrace news. Keptn uses SLO definitions to automatically configure Dynatrace or Prometheus alerting rules.