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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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Comparing Approaches to Durability in Low Latency Messaging Queues

DZone

A significant feature of Chronicle Queue Enterprise is support for TCP replication across multiple servers to ensure the high availability of application infrastructure. Little’s Law and Why Latency Matters. In many cases, the assumption is that as long as throughput is high enough, the latency won’t be a problem.

Latency 275
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

which is difficult when troubleshooting distributed systems. 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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Managing risk for financial services: The secret to visibility and control during times of volatility

Dynatrace

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. If system failures occur, teams must resolve them quickly and resolutely.

Analytics 197
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Best practices and key metrics for improving mobile app performance

Dynatrace

User demographics , such as app version, operating system, location, and device type, can help tailor an app to better meet users’ needs and preferences. Here are some ways observability data is important to mobile app performance monitoring. Load time and network latency metrics. Issue remediation. Proactive monitoring.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 201
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. There are now many more applications, tools, and infrastructure variables that impact an application’s performance and availability.