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

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Several tools can be used to collect metrics in load/performance testing.

Speed 203

Speed Software Software Latency 203

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 168

Metrics Monitoring Database Network 168

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. Reliability.

Software 259

Software Software Benchmarking Latency 259

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. As a result, site reliability has emerged as a critical success metric for many organizations. More than one in seven outages cost more than $1 million.

Best Practices 219

Best Practices DevOps Latency Metrics 219

The Netflix TechBlog

MAY 4, 2023

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. It provides a good read on the availability and latency ranges under different production conditions. Replay Solution The replay traffic testing solution comprises two essential components.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

AUGUST 25, 2023

These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort. This is what Dynatrace captures as response time.

Performance 171

Performance Latency Traffic Metrics 171

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. The consequences of rollbacks are significant and should not be underestimated.

Database 130

Database Network Servers Monitoring 130

Dynatrace

DECEMBER 4, 2023

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy.

Open Source 255

Open Source Latency Metrics Java 255

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 234

Azure Latency Metrics Infrastructure 234

Dynatrace

JANUARY 31, 2024

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

Cache Azure Infrastructure Monitoring 201

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Return larger payload sizes.

Lambda 212

Lambda AWS Serverless Latency 212

Dynatrace

MARCH 16, 2023

Enterprises now have access to myriad metrics they can track and measure, but an abundance of choice doesn’t equal actionable insight. Indeed, 54% of SREs say they handle too many metrics, making it increasingly difficult to find the most relevant ones for a particular service, according to the Dynatrace State of SRE Report.

DevOps 211

DevOps Latency Metrics Traffic 211

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. By integrating Nutanix metrics into Dynatrace, you can gain valuable insights into the performance and health of your Nutanix infrastructure.

Virtualization 189

Virtualization Storage Metrics Monitoring 189

Dynatrace

JUNE 7, 2023

This is achieved by using OpenAI services to compute numerical representations of text data that ease the computation of text similarity, called “embeddings,” for the documents as well as for the user input. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 162

Monitoring Latency Metrics Azure 162

CSS Wizardry

OCTOBER 16, 2023

What is the availability, configurability, and efficacy of each? ?️ Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. And do any of our previous decisions dictate our options?

Cache 291

Cache Latency Strategy Speed 291

The Netflix TechBlog

MARCH 7, 2024

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

Systems Media Cache Open Source 226

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period.

Latency 174

Latency Website Traffic Virtualization 174

Dynatrace

DECEMBER 22, 2019

After being available in an Early Adopter Release, we’re happy to announce that AWS supporting services are now Generally Available (GA). Supporting services include every service that isn’t available with out-of-the-box Dynatrace monitoring. Get up to 300 new AWS metrics out of the box. Amazon Kinesis Data Analytics.

AWS 135

AWS Metrics IoT Storage 135

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

DECEMBER 22, 2019

After being available in an Early Adopter Release, we’re happy to announce that AWS supporting services are now Generally Available (GA). Supporting services include every service that isn’t available with out-of-the-box Dynatrace monitoring. Get up to 300 new AWS metrics out of the box. Amazon Kinesis Data Analytics.

AWS 132

AWS Metrics IoT Storage 132

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% availability.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. Additionally, you can easily use any previously defined metrics and SLOs from your environments.

DevOps 215

DevOps Latency Traffic Best Practices 215

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. But not all teams use the same observability data in the same way.

Development 258

Development DevOps Programming Cloud 258

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Logging provides additional data but is typically viewed in isolation of a broader system context. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. This view shows the availability SLO for key application functions, like login and vehicle list, as well as a large set of timeframes, like last 30 minutes, last hour, today, and last six days. Dynatrace news.

Automotive 267

Automotive Latency Architecture Azure 267

Percona

NOVEMBER 3, 2023

When it comes to Citus, successfully building out and scaling a PostgreSQL cluster across multiple nodes and even across data centers can feel, at times, to be an art form because there are so many ways of building it out. The following invocation generates almost 4GB of data.

Database 107

Database Benchmarking Latency C++ 107

Dynatrace

OCTOBER 4, 2021

Modern applications—enterprise and consumer—increasingly depend on third-party services to create a fast, seamless, and highly available experience for the end-user. API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. Dynatrace news.

Monitoring 175

Monitoring Latency Metrics Availability 175

CSS Wizardry

AUGUST 7, 2019

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. can all provide valuable insights. But what else is TTFB?

Latency 269

Latency Ecommerce Servers Mobile 269

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line.

Monitoring 200

Monitoring Social Media IoT Metrics 200

Dynatrace

SEPTEMBER 29, 2020

Since we moved to AWS in May 2014 we have had an availability of 99.95%! Sydney, we have a disk write latency problem! It was on August 25 th at 14:00 when Davis initially alerted on a disk write latency issues to Elastic File System (EFS) on one of our EC2 instances in AWS’s Sydney Data Center.

Infrastructure 178

Infrastructure Cloud Monitoring AWS 178

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Background The Netflix Android app uses the falcor data model and query protocol. For example, the artwork service is separate from the video metadata service, but we need the data from both in the detail key.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

JUNE 8, 2020

Dynatrace Mission Control collects the health monitoring observability metrics for both our Dynatrace SaaS as well as Dynatrace Managed customers. Dynatrace Managed operates as a SaaS solution that keeps your data and data analysis on-premise in your own data center, thereby fulfilling the highest privacy and regulatory needs.

Software 165

Software Software Programming Metrics 165

Dynatrace

MARCH 17, 2021

These systems produce an unimaginably huge amount of data. If you run a digital business, you know that this data is priceless, as it describes how your users experience your digital service. By having a solution that automatically and precisely analyzes this data, you can guarantee that your customers have an amazing experience 24/7.

Metrics 167

Metrics Monitoring Network Technology 167

Dynatrace

JUNE 27, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM gathers information on a variety of performance metrics. Benefits of RUM include the following: Access to data from real end users across various applications, services, and environments.

Best Practices 172

Best Practices Monitoring Wireless Traffic 172