The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Our audits would detect this and alert the on-call data engineer (DE).

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 245

Architecture Software Software Development 245

Strategic Tech

JANUARY 22, 2024

Architecture modernization initiatives are strategic efforts involving many teams, usually for many months or years. An AMET is an architecture Enabling Team that helps to coordinate and upskill all teams and stakeholders involved in a modernization initiative. They need a more loosely coupled architecture and empowered teams.

Architecture 98

Architecture Metrics Logistics Strategy 98

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.

Architecture 174

Architecture Availability Infrastructure Monitoring 174

CSS Wizardry

JULY 23, 2023

The Core Web Vitals Metrics Generally, I approve of the Core Web Vitals metrics themselves ( Largest Contentful Paint , First Input Delay , Cumulative Layout Shift , and the nascent Interaction to Next Paint ). All user-centric Core Web Vitals metrics will be represented in the dataset.

Engineering 246

Engineering Google Speed Mobile 246

Dynatrace

OCTOBER 26, 2020

Dynatrace has recently enhanced its Metrics APIs, allowing everyone to send any type of metric with any set of data dimension to Davis, Dynatrace’s AI engine. All your JMeter results in Dynatrace for better performance engineering. There are many use cases for using this API.

Innovation 157

Innovation Metrics Hardware Games 157

The Netflix TechBlog

JUNE 15, 2022

By Alex Hutter , Falguni Jhaveri , and Senthil Sayeebaba In a previous post , we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily. Below are a couple of examples.

Engineering 183

Engineering Architecture Availability Tuning 183

Dynatrace

APRIL 8, 2022

Detailed performance analysis for better software architecture and resource allocation. All metrics, traces, and real user data are also surfaced in the context of specific events. With Dynatrace, you can create custom metrics based on user-defined log events. Should I use Fluentd or OneAgent for Kubernetes?

Metrics 184

Metrics Analytics Software Architecture Open Source 184

Dynatrace

DECEMBER 18, 2020

Agentless RUM, OpenKit, and Metric ingest to the rescue! App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. What insights can we gain from usage metrics that we can feed-back to our product management teams? So here I chose the Metric Ingest API ( /api/v2/metrics/ingest ).

Analytics 137

Analytics Metrics IoT Monitoring 137

Dynatrace

SEPTEMBER 8, 2020

Very often, I heard that chaos engineering is only a technique used by larger companies (like Netflix) or in cloud native environments. You should read on if: You want to get an idea what chaos engineering is. You want to know if chaos engineering is only usable in cloud native environments. Figure 1: Sample architecture.

Engineering 142

Engineering Cloud Monitoring Testing 142

Dynatrace

DECEMBER 13, 2023

Rexed, Singh, and Stull outline the importance of metrics, traces, logs, events, and the role they play in achieving full–context Kubernetes observability and driving automated responses in hybrid and multi-cloud environments. To ensure everything runs smoothly, they employ the Dynatrace automated monitoring and observability solution.

Google 231

Google Cloud Infrastructure Metrics 231

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! It opens doors to support more exciting use-cases. OK, Results?

Storage 288

Storage Cache Metrics Database 288

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Suboptimal architecture design. This awareness is important when the goal is to drive cost-conscious engineering.

Best Practices 238

Best Practices Strategy Cloud AWS 238

Dynatrace

APRIL 8, 2022

Detailed performance analysis for better software architecture and resource allocation. All metrics, traces, and real user data are also surfaced in the context of specific events. With Dynatrace, you can create custom metrics based on user-defined log events. Should I use Fluentd or OneAgent for Kubernetes?

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. It’s based on cloud-native architecture and built for the cloud.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. Mobile retail e-commerce spending in the U. Service-level objectives (SLOs).

Best Practices 228

Best Practices DevOps Latency Metrics 228

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

APRIL 30, 2019

Most of the time is taken by quality or release engineers looking at test results, comparing them with previous builds or walking through a checklist of items that accumulated over the years in order to harden their release acceptance process. Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. While ingestion of OpenTelemetry traces and metrics into Dynatrace is supported, companies often prefer to collect logs in the OpenTelemetry format.

Open Source 220

Open Source Analytics Metrics Cloud 220

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Personalized Experience Refresh Netflix Recommendation engine continuously refreshes recommendations for every member.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 193

Analytics Infrastructure Storage Efficiency 193

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture 249

Architecture Best Practices Engineering Open Source 249

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. In January 2023, Dynatrace released the Carbon Impact app, adding carbon emissions and energy consumption metrics to observability data.

Cloud 214

Cloud Energy Best Practices Cache 214

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments. And how can this combination unlock greater IT automation?

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

JANUARY 4, 2024

In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone. How can organizations improve data quality?

Government 205

Government Analytics Benchmarking Storage 205

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

JANUARY 23, 2024

What will the new architecture be? Session attendees will learn first-hand how Dynatrace natively integrates into the AWS Migration Hub to provide a full topology of on-prem workloads and dependencies in order to generate the ideal cloud-based architecture in the AWS cloud. What can we move?

Cloud 217

Cloud Artificial Intelligence Performance AWS 217

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. Once you deploy the Dynatrace extension, Dynatrace ingests your Cassandra metrics and analyzes them in context with the entire stack.

Azure 239

Azure Latency Metrics Infrastructure 239

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Dynatrace built and optimized it for Davis® AI, the game-changing Dynatrace artificial intelligence engine that processes billions of dependencies in the blink of an eye.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Dynatrace news.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. FinOps behavioral change management.

Cloud 201

Cloud Strategy Retail Energy 201

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. Dynatrace news.

Testing 223

Testing Open Source Metrics Infrastructure 223

Dynatrace

NOVEMBER 28, 2022

Dynatrace provides AWS Lambda metrics monitoring in less than five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. Understand and optimize your architecture. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace.

Lambda 229

Lambda AWS Serverless Latency 229

Dynatrace

NOVEMBER 14, 2023

DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. To bring these practices to life within an organization at scale, the discipline of platform engineering has gained popularity.

Government 199

Government Best Practices DevOps Engineering 199

Dynatrace

APRIL 7, 2023

Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. Organizations will also benefit from the visibility of new metrics directly from the Lambda Stream such as the following: StreamedOutboundBytes.

Lambda 221

Lambda AWS Serverless Latency 221

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. Pensive relies on a regular expression based rules engine that has been curated over time.

Big Data 238

Big Data Infrastructure Metrics Hardware 238