The Netflix TechBlog

DECEMBER 7, 2020

VMAF is a video quality metric that Netflix jointly developed with a number of university collaborators and open-sourced on Github. One aspect that differentiates VMAF from other traditional metrics such as PSNR or SSIM, is that VMAF is able to predict more consistently across spatial resolutions, across shots, and across genres (for example.

Metrics 154

Metrics Open Source Tuning Speed 154

The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This technique facilitates validation on multiple fronts.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

DECEMBER 15, 2020

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. Enterprise-grade observability for custom OpenTelemetry metrics from AWS. Dynatrace news.

AWS 182

AWS Metrics Analytics Government 182

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 223

Metrics Monitoring Performance Benchmarking 223

Percona

OCTOBER 12, 2023

It shows which code paths are more busy on the CPU in given samples. Manual flame graphs collection Although the tool is excellent and automatically provides flame graphs, we don’t have much control over tuning the selected profiler. Flame graphs are a graphical representation of function calls.

Code 110

Code Tuning C++ Benchmarking 110

Dynatrace

NOVEMBER 27, 2020

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET record(value); }.

Metrics 143

Metrics Open Source Lambda Serverless 143

DZone

MAY 15, 2020

Now that you’ve deployed your code, it’s time to monitor it, collect data, and analyze your metrics. You’ve just released your new app into the wild, live in production. Your job is done, right? Without application performance monitoring in place, you can’t accurately determine how well things are going. Are people using your app?

Metrics 246

Metrics Performance Development Monitoring 246

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 225

Technology Technology Metrics Infrastructure 225

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

APRIL 5, 2024

For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information. In other words, where the application code resides.

Efficiency 234

Efficiency Traffic Tuning Metrics 234

Dynatrace

MAY 16, 2019

Are you applying AI to the unique metrics and KPIs that matter most to the success of your digital business? Do you provide dashboards and analytics that combine technical and business metrics that are specific to your business? Dynatrace out-of-the-box metrics generally focus on availability, failure rate, and performance.

Metrics 116

Metrics Analytics Programming Monitoring 116

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 259

Open Source Metrics Analytics Tuning 259

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. This approach is costly and error prone.

Availability 325

Availability Scalability Cloud Metrics 325

Dynatrace

APRIL 25, 2023

Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Some platforms provide built-in metrics, logs and traces for serverless functions, while others require additional configuration or integration with external services or agents.

Serverless 216

Serverless Lambda Azure AWS 216

SQL Performance

SEPTEMBER 17, 2019

This article will cover many areas that database administrators need to be aware of in order to properly license, recover, and tune a Reporting Services installation. Tuning Options. Tuning SSRS is much like any other application. General Tuning. Installation and support of SSRS can be confusing.

Tuning 67

Tuning Servers Database Best Practices 67

Dynatrace

APRIL 23, 2019

However, understanding the performance of different application types requires an emphasis on different performance metrics, that is, key performance metrics. For many traditional web applications , User action duration is considered the best metric available for web-performance optimization.

Metrics 103

Metrics Monitoring Performance Speed 103

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 195

Analytics Innovation Metrics Database 195

Dynatrace

FEBRUARY 17, 2022

“If you’re going to have an SLO, you should have a story in mind of why you’re setting up all these alerts and collecting all these metrics. Infrastructure as code vs infrastructure as data. Grabner noted that Dynatrace just announced the release of software intelligence as code , an enhancement of API endpoints.

Technology 219

Technology Technology Cloud Infrastructure 219

Dynatrace

JULY 10, 2023

Here is what a few of these customers say about Dynatrace: “ Dynatrace has been a game changer in our ability to respond to incidents, identify areas for performance tuning, and gain meaningful data from user behavior analysis.” In these two reports, Dynatrace is the only provider to be recognized as a Leader and as a Customers’ Choice.

Monitoring 228

Monitoring Retail Performance Government 228

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. Metrics are a key part of understanding application health. Client metrics and QoE changes.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

NOVEMBER 14, 2023

The Cloud Native Computing Foundation defines a Golden Path as a “templated composition of well-integrated code and capabilities for rapid project development.” Allow for flexibility Custom query variables are available to fine-tune guardian objectives and maintain flexibility in fetching data from Grail.

Government 203

Government Best Practices DevOps Engineering 203

Dynatrace

DECEMBER 5, 2023

Even if some part of your codebase can be instrumented to collect observability data, having all three signal types (metrics, traces, and logs) is crucial. Error logs for the process reveal a PHP syntax error with code-level information that caused the outage.

Efficiency 273

Efficiency Architecture Energy Monitoring 273

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 262

Cloud Azure Analytics AWS 262

Dynatrace

OCTOBER 2, 2023

Likewise, refactoring and rewriting code takes a lot of time and effort. In fact, it can be difficult to make code changes that won’t disrupt the entire system. Monitor the application before, during, and after migration Migrating and changing code can be a tricky business. Migration is time-consuming and involved.

Architecture 241

Architecture Artificial Intelligence Cloud Open Source 241

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™.

DevOps 195

DevOps Traffic Latency Best Practices 195

Smashing Magazine

FEBRUARY 2, 2022

Improving JavaScript Bundle Performance With Code-Splitting. Improving JavaScript Bundle Performance With Code-Splitting. It’s a common misconception that the code which is produced by the framework build tools (Webpack, for example) is fully optimized and cannot be improved upon any further. The answer lies in code-splitting.

Code 89

Code Performance Network Website 89

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 179

Metrics Monitoring Database Network 179

Dynatrace

APRIL 20, 2022

We wanted to expand and provide business process metrics (# of total orders per restaurant, orders canceled ratios, time per order, ingredients in or out of stock …) to quickly react to any issues and also get automatically alerted on anomalies. Rejections and Cancellation of Orders (our Code Red): 30% faster MTTR and 50% better visibility.

Metrics 209

Metrics Mobile Internet Internet 209

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Deep-code execution details. You get code-level insights into application code without code changes. Dynatrace news. The app is powered by Kubernetes.

Java 242

Java Traffic Strategy Architecture 242

Dynatrace

FEBRUARY 25, 2021

Dynatrace has offered a Lambda code module for Node.js In theory, an existing code module or agent can be used to monitor a Lambda function if there’s a way to load it into the running Lambda process. Dynatrace tackled these challenges by writing our Lambda code module from scratch to include the following: A small file size.

Lambda 227

Lambda AWS Monitoring Serverless 227

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. This event-driven automation triggers the action of sending the discount code only when the customer abandons the cart abandonment, minimizing revenue loss and increasing conversion rates.

DevOps 228

DevOps Traffic Efficiency Servers 228

Dynatrace

OCTOBER 8, 2020

This means, you don’t need to change even a single line of code in the serverless functions themselves. Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch). So please stay tuned! Serverless functions extend applications to accelerate speed of innovation.

Lambda 304

Lambda AWS Programming Serverless 304

Dynatrace

MAY 1, 2020

Here are details of the capabilities included in this release of OneAgent for Linux on the ARM platform: Deep-code monitoring. OneAgent for the ARM platform comes with several deep-code monitoring modules: Java, NGINX, and Node.js. For details on available metrics, see host performance monitoring. Stay tuned for more details.

Java 134

Java Hardware Tuning Metrics 134

The Netflix TechBlog

AUGUST 22, 2019

We had several goals in mind when trying to improve the baking methodology: Configuration as code Leverage Spinnaker for Continuous Delivery Eliminate Toil Configuration as Code The first part of our new Windows baking solution is Packer. We now have the software and instance configuration as code.

DevOps 207

DevOps AWS Tuning Infrastructure 207

Dynatrace

AUGUST 28, 2019

Observability is divided into three major verticals—metrics, logs, and distributed traces—the so-called three pillars of observability. The three pillars of observability—captured automatically, no code change required. New components are auto-instrumented on the fly, with no code change required. 1) Metrics.

Metrics 191

Metrics Monitoring Azure Code 191

Dynatrace

JUNE 2, 2020

The Dynatrace v2 Environment APIs such as the Metrics API v2 or the Monitored entites API v2 provide you with new capabilities and features, such as: RESTful, generic resources that you can use in a wide range of integration scenarios. Example: GET /metric?fields=+aggregationTypes,-description. Example: GET /metric?fields=transformations,dimensionDefinitions.

Metrics 187

Metrics Scalability Tuning Monitoring 187

Dynatrace

AUGUST 12, 2020

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.

Serverless 241

Serverless Azure Monitoring Lambda 241