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. We expect complete and accurate data at the end of each run.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

SEPTEMBER 28, 2021

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps 199

DevOps Metrics Traffic Efficiency 199

The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 237

Media Traffic Processing Design 237

Dynatrace

DECEMBER 9, 2020

Recently we simplified observability for custom metrics and opened up Dynatrace OneAgent for integration of metrics from various sources like StatsD , Telegraf , and Prometheus. We’re therefore happy to introduce the new metric browser , available as an Early Adopter release with Dynatrace version 1.207.

Metrics 147

Metrics Analytics Availability Monitoring 147

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics.

Metrics 245

Metrics Analytics Storage Monitoring 245

Dynatrace

FEBRUARY 3, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. Part 2 showed how to run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 162

Metrics Open Source Monitoring Technology 162

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. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

JANUARY 12, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. In Part 2 we showed how you can run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 178

Metrics Open Source Monitoring Analytics 178

Dynatrace

NOVEMBER 3, 2020

Welcome to the blog series where we give you a deeper dive into the latest awesomeness around Dynatrace : how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus. Dynatrace news.

Metrics 157

Metrics Open Source Monitoring Traffic 157

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit can serve as a proxy before you send data to Dynatrace or similar. However, you can also use Fluent Bit as a processor because you can perform various actions on the data.

Best Practices 242

Best Practices IoT Metrics Storage 242

Dynatrace

OCTOBER 15, 2021

Let’s take a closer look and clear up any confusion about what it is, the telemetry data it covers, and the benefits it can provide. Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces.

Open Source 218

Open Source Metrics Cloud Transportation 218

Dynatrace

AUGUST 5, 2020

With Dynatrace, you can also validate your findings against Real User Monitoring data or even drill down to the code level to pinpoint the root cause of a change in performance. Recently introduced improvements to Visually complete and new web performance metrics for Real User Monitoring are now available for Synthetic Monitoring as well.

Metrics 214

Metrics Monitoring Performance Benchmarking 214

Dynatrace

DECEMBER 28, 2020

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. In Part 2 we showed how you can run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. Let the Davis AI analyze your metrics from scripting languages like Bash or PowerShell. Dynatrace news.

Metrics 148

Metrics Open Source Monitoring Engineering 148

Dynatrace

MARCH 5, 2021

In today’s complex IT environments, the sheer volume of data created makes it impossible for humans to monitor, comprehend, or troubleshoot problems before they impact the experience of your end users. Still, you might have use cases that rely on important custom data streams. Now you can: Alert on the outage of a custom data source.

Metrics 213

Metrics Network Monitoring Infrastructure 213

Dynatrace

JUNE 3, 2022

Without any configuration or the need for a data scientist, Davis provides instant and automatic answers to degradations in service, anomalies in behavior, and impact on user experience so that I&O teams can chart a clear course of action to resolve issues. This ensures greater agility and reduces the time to resolution.

Metrics 223

Metrics Mobile IoT Monitoring 223

Dynatrace

MARCH 29, 2024

By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns. AI innovation elevates efficiency and performance of Google Cloud AI adoption is increasingly critical for any organization.

Google 261

Google Innovation Cloud Analytics 261

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 210

Metrics Innovation Strategy Monitoring 210

Dynatrace

APRIL 21, 2021

Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale. When do these metrics matter?

Metrics 134

Metrics Google Website Speed 134

Dynatrace

JUNE 28, 2019

Dynatrace leverages high-fidelity data to fuel Davis, our AI-driven causation engine for automatic monitoring insights. Going forward, the new metrics framework will be at the core of everything that you can do with metrics in Dynatrace. Find metrics more quickly with metric categories. Dynatrace news.

Metrics 142

Metrics Monitoring Efficiency Availability 142

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. In this blog, we’ll review a few of the common anti-patterns about which you you should be aware. .

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 202

DevOps Metrics Engineering Analytics 202

Dynatrace

OCTOBER 14, 2019

But sometimes you might have a scenario where simple access to log file content is not enough—you need to create a metric for log entries that contain “Error,” for instance, or something more complex like “Error and not Warning.” In such cases, you need the ability to turn log data into custom metrics. That’s it, you’re done!

Metrics 117

Metrics Monitoring AWS Availability 117

The Netflix TechBlog

APRIL 27, 2023

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! Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

AUGUST 10, 2023

They frequently articulate the need for real-time visibility into business data to support agile business decisions. But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes.

Database 226

Database Metrics Retail Analytics 226

The Netflix TechBlog

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. Replay Solution The replay traffic testing solution comprises two essential components.

Traffic 339

Traffic Latency Tuning Systems 339

Jos

MARCH 29, 2018

I was browsing Tim Kadlec’s website and I noticed he had added page load time metrics in the footer. Stoyan Stefanov also realized and wrote “This page loaded in X seconds” , a blog post describing the code used for this. The data is obtained from window.performance. Yet it might not reflect how fast the visible area loads.

Metrics 130

Metrics Google Analytics Code 130

The Netflix TechBlog

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 192

Transportation Architecture Processing Storage 192

Dynatrace

NOVEMBER 3, 2023

While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. supports SNMP, WMI, Prometheus, and SQL data sources, and now also JMX; no code is required to leverage these extensions. Comprehensive metrics support Extensions 2.0

Technology 246

Technology Technology Scalability Availability 246

Tasktop

JULY 22, 2021

That’s why I’m so excited to see Flow Metrics added to the latest SAFe iteration. outlines three core metrics : Outcomes : Are your solutions meeting the needs of customers and business? This mandates changes to what we measure, how we measure, and what to do with the data we receive. Safe Is Your Map, Flow Metrics Are Your GPS.

Metrics 98

Metrics DevOps Efficiency Benchmarking 98

Dynatrace

FEBRUARY 2, 2022

Security: Data is stored securely in the Dynatrace cloud (powered by Azure). Dynatrace captures all your data, including host and application metrics, basic-network metrics, real-user metrics, mobile metrics, cloud-infrastructure metrics, log metrics, and much more.

Azure 320

Azure Availability Hardware Innovation 320

Dynatrace

APRIL 5, 2024

This blog post is for both novice and seasoned audiences alike. The first part of this blog post briefly explores the integration of SLO events with AI. This assumes that if there’s an absence of data, the Service Level Objective (SLO) must be assessed at 100%.

Efficiency 224

Efficiency Traffic Tuning Metrics 224

Dynatrace

SEPTEMBER 8, 2023

In part 1 of this blog series , we explored the concept of business observability, its significance, and how real-time visibility aids in making informed decisions. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace. Don’t rename the file. Upload the ZIP file.

Database 269

Database Artificial Intelligence Metrics Monitoring 269

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Prometheus in Kubernetes ?and

Technology 216

Technology Technology Metrics Infrastructure 216

Dynatrace

OCTOBER 7, 2020

We’re happy to announce that by opening up Dynatrace OneAgent for integration of custom metrics, Dynatrace has automated alerting on crucial metrics and removes the need to maintain local configurations for StatsD, Telegraf, and Prometheus—even in the largest of environments, which can include hundreds of thousands of instances and containers.

Open Source 254

Open Source Metrics Analytics Tuning 254

Dynatrace

JUNE 11, 2019

Welcome back to the blog series in which we summarize the findings of our Autonomous Cloud Management Survey. To explore this issue, we asked participants the following question: Which of your teams have access to production monitoring data? 3) Only 41% of business stakeholders have access to production monitoring data.

Innovation 191

Innovation Monitoring Metrics Strategy 191