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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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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Transparency and scalability. Infrastructure-as-code.

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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

This year, Google’s event will take place from April 9 to 11 in Las Vegas. As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.

Google 254
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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.

Systems 226
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Easily monitor IBM i with updated Dynatrace extension

Dynatrace

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Get a health overview of each system Monitor your system’s performance and detect unexpected events such as IPLs, CPU spikes, and exceeded total job limits. Identify users who are consuming the most spooling files.

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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. AI helps provide in-depth context around system issues, anomalies, and other events instead of merely identifying them.

DevOps 183
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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. Managing this change is difficult.

Cloud 244