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

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 176

Performance DevOps Innovation Artificial Intelligence 176

Dynatrace

JUNE 27, 2022

As businesses compete for customer loyalty, it’s critical to understand the difference between real-user monitoring and synthetic user monitoring. However, not all user monitoring systems are created equal. What is real user monitoring? Real-time monitoring of user application and service interactions.

Best Practices 166

Best Practices Monitoring Wireless Traffic 166

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. This blog post lists the important database metrics to monitor. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Best Practices 358

Best Practices Code Testing Data Engineering 358

Dynatrace

MARCH 15, 2024

As organizations strive for observability and data democratization, OpenTelemetry emerges as a key technology to create and transfer observability data. Understanding OpenTelemetry OpenTelemetry is an open, vendor-neutral standard for creating, collecting, and transferring telemetry data, like traces, metrics, and logs.

Open Source 130

Open Source Best Practices Infrastructure Tuning 130

Dynatrace

APRIL 23, 2020

Whether you run a small food delivery company, a mid-sized movie-streaming business, or a multinational hotel group, Dynatrace Real User Monitoring provides gapless insight into all the user journeys of the customers of your app, from the frontend to the backend. Location data masking. IP address masking.

Mobile 179

Mobile Monitoring Code Processing 179

Dynatrace

SEPTEMBER 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Why today’s data analytics solutions still fail us.

Metrics 217

Metrics Analytics Monitoring Efficiency 217

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

NOVEMBER 3, 2021

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

Monitoring 209

Monitoring Metrics DevOps Scalability 209

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

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 257

Artificial Intelligence Analytics Storage Architecture 257

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? What is API Monitoring? API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. The need for API monitoring.

Monitoring 169

Monitoring Latency Metrics Availability 169

Dynatrace

FEBRUARY 24, 2022

Many of our customers—the world’s largest enterprises—have embraced the Dynatrace SaaS approach to monitoring, which provides critical business insights powered by AI and automation for globally-distributed, heterogeneous IT landscapes. New self-monitoring environment provides out-of-the-box insights and custom alerting.

Monitoring 184

Monitoring Metrics Analytics Processing 184

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log monitoring? Dynatrace news.

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

MAY 23, 2024

Dynatrace ® AppEngine features a no- and low-code toolset and leverages Davis AI to empower teams to easily create and share custom, intelligent, and secure apps that leverage insights from data generated by their clouds. The following figure shows the benefits of Azure Native Dynatrace Service.

Azure 213

Azure Cloud Metrics Innovation 213

Dynatrace

JANUARY 13, 2022

Real user monitoring can help you catch these issues before they impact the bottom line. What is real user monitoring? Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. How real user monitoring works.

Monitoring 170

Monitoring Latency Mobile Best Practices 170

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 185

Innovation Monitoring Metrics Strategy 185

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 252

Artificial Intelligence Analytics Metrics Storage 252

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 204

Traffic AWS Network Cloud 204

Dynatrace

AUGUST 17, 2022

DIY mobile app monitoring breeds complexity. In this case, mobile development teams often resort to costly do-it-yourself approaches where they attempt to put together different types of tooling to try to manage and monitor the mobile apps. An automated, all-in-one approach to mobile app monitoring.

Mobile 180

Mobile Monitoring Development Programming 180

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. And why it matters.

Best Practices 200

Best Practices AWS Monitoring Serverless 200

Dynatrace

MARCH 16, 2021

With this integration, Dynatrace customers can now leverage Terraform to manage their monitoring infrastructure as code,” said Asad Ali, Senior Director of Sales Engineering at Dynatrace. What is monitoring as code? What are the benefits of monitoring as code? across their complete Dynatrace instance.”. Step 1: Write.

Code 236

Code Monitoring Best Practices Infrastructure 236

Dynatrace

APRIL 26, 2022

Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics. What is digital experience monitoring? DEM can give organizations business observability—insight into the effects of user experience on the bottom line.

Monitoring 192

Monitoring Social Media IoT Metrics 192

The Netflix TechBlog

AUGUST 13, 2020

You’re not yet convinced there’s a real problem but you’re also aware that the clock is ticking as you dig through a mountain of data looking for clues. Our streaming teams need a monitoring system that enables them to quickly diagnose and remediate problems; seconds count! Mantis real-time streaming data. So we built Telltale.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

FEBRUARY 14, 2022

Mobile app monitoring and mobile analytics make this possible. With the right monitoring solution, you can get ahead of problems to help increase overall app adoption and user satisfaction. What is mobile app monitoring? Mobile app monitoring is the process of collecting and analyzing data about application performance.

Mobile 170

Mobile Analytics Monitoring Best Practices 170

Dynatrace

AUGUST 16, 2023

SLO monitoring and alerting on SLOs using error-budget burn rates are critical capabilities that can help organizations achieve that goal. SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. What is SLO monitoring? And what is an error budget burn rate?

Monitoring 175

Monitoring DevOps Metrics Innovation 175

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Ensuring observability across these environments requires access to data at a massive scale.

Analytics 218

Analytics Social Media Metrics Efficiency 218

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202

Java Scalability Traffic Architecture 202

Dynatrace

APRIL 16, 2021

Monitoring and observability are important topics for any developer, architect, or Site Reliability Engineer (SRE), and this holds true independent of the language or runtime of choice. The idea, and most of the content for this blog, comes from one of our Partners; Stephan Dannewitz , DevOps & Site Reliability Engineer at avodaq AG.

Monitoring 148

Monitoring Open Source Best Practices DevOps 148

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise.

Infrastructure 172

Infrastructure Monitoring Artificial Intelligence Open Source 172

Dynatrace

MAY 4, 2021

AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. But increasing complexity and lacking visibility creates a problem: Enterprises invest more resources into monitoring and don’t get the data and answers they need.

Infrastructure 171

Infrastructure Monitoring Artificial Intelligence Cloud 171

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 218

Artificial Intelligence Cloud Best Practices DevOps 218

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 188

Monitoring Serverless Programming Speed 188

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 188

Monitoring Serverless Programming Speed 188

Dynatrace

MAY 14, 2020

Dynatrace just makes this easy—it comes out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources. . A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data.

Processing 149

Processing Hardware Traffic Storage 149

Dynatrace

JANUARY 12, 2021

Observability is the new standard of visibility and monitoring for cloud-native architectures. It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. Observability brings multicloud environments to heel.

Monitoring 181

Monitoring Artificial Intelligence DevOps Serverless 181