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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. What is AWS observability? AWS Lambda.

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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Without the ability to see the logs that are relevant to your service, infrastructure, or cloud function—at exactly the right time and in exactly the right format—your cloud or DevOps engineers lose the ability to find the root causes of the issues they troubleshoot. These already provide a common integration with AWS log sources.

Cloud 217
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Dynatrace adds support for AWS Transit Gateway with VPC Flow Logs

Dynatrace

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. What is AWS Transit Gateway? AWS Transit Gateway is a service offering from Amazon Web Services that connects network resources via a centralized hub. Log Events. What is VPC Flow Logs. Log Metrics.

AWS 218
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Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

This tier extended existing infrastructure by adding new backend components and a new remote call to our ads partner on the playback path. To do this, we devised a novel way to simulate the projected traffic weeks ahead of launch by building upon the traffic migration framework described here.

Traffic 342
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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. Serverless applications are composed of event-driven functions that run on demand in response to triggers from various sources, such as HTTP requests, messages, or timers. Scale automatically based on the demand and traffic patterns.

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

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. ETL workflows), as well as downstream (e.g.

Systems 226