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Close Site Search Indexing via Kubernetes HAProxy Ingress

DZone

In Kubernetes , Ingress resources are frequently used as traffic controllers, providing external access to services within the cluster. This blog post will walk you through the process of blocking your site's indexing on Kubernetes Ingress using robots.txt file, preventing search engine bots from crawling and indexing your content.

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Chaos Engineering With Litmus: A CNCF Incubating Project

DZone

We have developed a microservices architecture platform that encounters sporadic system failures when faced with heavy traffic events. System resilience stands as the key requirement for e-commerce platforms during scaling operations to keep services operational and deliver performance excellence to users.

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Breaking AWS Lambda: Chaos Engineering for Serverless Devs

DZone

A sudden spike in traffic caused Lambda timeouts, API Gateway threw 5xx errors, and customers started tweeting, Why cant I check out?! Our "serverless" order processing system built on AWS Lambda and API Gateway was humming along, handling 1,000 transactions/minute. Then, disaster struck.

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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. Average query response time.

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Title Launch Observability at Netflix Scale

The Netflix TechBlog

Accurately Reflecting Production Behavior A key part of our solution is insights into production behavior, which necessitates our requests to the endpoint result in traffic to the real service functions that mimics the same pathways the traffic would take if it came from the usualcallers. We call this capability TimeTravel.

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Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

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. An anomaly will be identified if traffic suddenly drops below 200 Mbps or above 800 Mbps, helping you identify unusual spikes or drops.

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