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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Stream Processing: to sample or not to sample trace data?

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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. In this blog post, we will discuss some of these challenges and how to overcome them. Scale automatically based on the demand and traffic patterns. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

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Large scale deployments are easy and cost-effective with network zones (Early Adopter)

Dynatrace

Unnecessary traffic between such data centers can result in wasted resources, unpredictable downtimes, and lost business. By minimizing bandwidth and preventing unrelated traffic between data centers, you can maintain healthy network infrastructure and save on costs. optimizing traffic routing.

Network 161
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. What is Docker? Watch webinar now! Networking.

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Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

Do we have the ability (process, frameworks, tooling) to quickly deploy new services and underlying IT infrastructure and if we do, do we know that we are not disrupting our end users? Dynatrace as a managed AWS workload, and as an option, have the network traffic to Dynatrace run over PrivateLink so that traffic never leaves AWS.

AWS 143
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Improving our video encodes for legacy devices

The Netflix TechBlog

264/AVC Main profile family still represents a substantial portion of the members viewing hours and an even larger portion of the traffic. Further tuning of pre-defined encoding parameters. In this tech blog, we summarized how we made improvements towards optimizing our video encodes for legacy devices with limited decoder support.

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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

In this blog, we will dive into the transformative power of answer-driven automation. It enables them to adapt to user feedback swiftly, fine-tune feature releases, and deliver exceptional user experiences, all while maintaining control and minimizing disruption. But it doesn’t stop there.

DevOps 217