The Netflix TechBlog

FEBRUARY 13, 2023

Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. Amber is a suite of multiple infrastructure components that offers triggering capabilities to initiate the computation of algorithms with recursive dependency resolution.

Media 290

Media Storage Infrastructure Systems 290

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Generative AI: A type of AI that uses an algorithm trained on large amounts of data collected from diverse sources to generate various types of content, including text, images, audio, and synthetic data.

Artificial Intelligence 191

Artificial Intelligence DevOps Strategy Open Source 191

Dynatrace

SEPTEMBER 21, 2023

Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London. As we onboard more customers, the platform requires more infrastructure, leading to increased carbon emissions. These metrics include CPU, memory, disk, and network I/O.

Energy 242

Energy Cloud Airlines Strategy 242

Dynatrace

JANUARY 31, 2024

This unified approach reduces the total cost of ownership (TCO), cutting down on the overhead costs associated with managing multiple standalone tools and training costs and simplifying procurement and vendor management. Infrastructure monitoring mode offers the same capabilities except tracing and profiling.

Analytics 181

Analytics Infrastructure Monitoring Cloud 181

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights.

Best Practices 239

Best Practices Analytics Metrics Code 239

Dynatrace

JANUARY 22, 2024

The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos. Data lakehouses can store and query structured, semi-structured, and unstructured data on low-cost infrastructure.

Artificial Intelligence 216

Artificial Intelligence Healthcare Retail Government 216

Dynatrace

APRIL 26, 2023

One effective capacity-management strategy is to switch from a reactive approach to an anticipative approach: all necessary capacity resources are measured, and those measurements are used to train a prediction model that forecasts future demand. You can use any DQL query that yields a time series to train a prediction model.

Games 221

Games Analytics Strategy Cloud 221

Dynatrace

JANUARY 31, 2024

In the age of AI, data observability has become foundational and complementary to AI observability, data quality being essential for training and testing AI models. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric.

DevOps 200

DevOps Analytics Airlines Metrics 200

Dynatrace

APRIL 21, 2023

The agencies resisted adopting the tool because it required significant time to configure and tune collected metrics into valuable information. Further, the toolset had been in place for 20 years resulting in high annual software maintenance and infrastructure costs. over five years. Register to listen to the webinar.

Government 167

Government Infrastructure Innovation Monitoring 167

Dynatrace

AUGUST 27, 2020

Missing operational insights, lack of context, and limited understanding of cloud service dependencies making it almost impossible to find the root cause of customer-facing application issues or underlying infrastructure problems. Dynatrace’s ability to ingest metrics from all 95 AWS services will be available within the next 60 days.

AWS 274

AWS Cloud IoT Database 274

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. While gyms and fitness studios have since reopened, these apps are still extremely popular for squeezing in short home workouts, tracking fitness goals, and receiving personalized training recommendations.

Latency 185

Latency Website Traffic Virtualization 185

Dynatrace

APRIL 14, 2020

Well, that’s exactly what the Dynatrace University team did to support Dynatrace’s hands-on training (HoT) days at Dynatrace’s annual user conference Perform in Las Vegas. The Dynatrace dashboard below that shows the thousands of EC2 instances coming up and then being removed at the close of the training. Quite impressive!

AWS 169

AWS Lambda Performance Infrastructure 169

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. While gyms and fitness studios have since reopened, these apps are still extremely popular for squeezing in short home workouts, tracking fitness goals, and receiving personalized training recommendations.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

SEPTEMBER 3, 2020

Such a solution needs to collect a substantial amount of data at first for then having a dataset (training data) that an algorithm can use to learn from. Data sources typically include common infrastructure monitoring tools and second-generation APM solutions as well as other solutions. Traditional AIOps is Slow.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

SEPTEMBER 28, 2020

to help enterprises go from seeing a problem to understanding where it came from – connecting application workloads, infrastructure, and digital experience, in ways that few other players in the market can offer.” . The company has invested significantly in providing a single-pane-of-glass experience ?

Cloud 246

Cloud Serverless Innovation Architecture 246

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? For example, if your SLO is to deliver 99.5%

Metrics 200

Metrics Best Practices DevOps Infrastructure 200

Dynatrace

OCTOBER 14, 2021

They require extensive training, and real-user must spend valuable time filtering any false positives. Traditional AIOps is limited in the types of inferences it can make because it depends on metrics, logs, and trace data without a model of how components of systems are structured. The deviating metric is response time.

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

Dynatrace

FEBRUARY 20, 2024

“We were basically inundated by maintaining products, which means we had to make sure our software was updated, we had to make sure our vulnerabilities were taken care of, monitoring capacity and upgrading infrastructure, and so on,” the technology executive says. Not all observability is equal, however.

Monitoring 157

Monitoring Education Technology Technology 157

Dynatrace

JULY 6, 2022

Organizations that have achieved SRE maturity have a better handle on the state of their infrastructure, the ability to tie reliability metrics more tightly to business objectives, and the means to ensure a consistent and responsive customer experience. Dynatrace’s 2022 State of SRE Report surveyed 450 SREs across the globe.

Best Practices 196

Best Practices Open Source Tuning Infrastructure 196

The Netflix TechBlog

OCTOBER 18, 2019

Faisal Siddiqi Infrastructure for Contextual Bandits and Reinforcement Learning?—? As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides.

Infrastructure 126

Infrastructure Metrics Architecture Efficiency 126

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces. 9 key DevOps metrics for success. What are the typical use cases for AWS Lambda? What is observability?

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

Dynatrace

FEBRUARY 10, 2022

As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage. We gather logs, metrics and traces. You need automatic and intelligent observability spanning your applications, infrastructure, and user experience.

Artificial Intelligence 192

Artificial Intelligence Performance Innovation Speed 192

Dynatrace

OCTOBER 14, 2022

Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information. Supervised learning uses already-labeled data to train algorithms for specific outputs. There are two broad types of machine learning: supervised and unsupervised. Enhanced visibility.

Artificial Intelligence 183

Artificial Intelligence DevOps Analytics Cloud 183

The Netflix TechBlog

MAY 21, 2019

We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

NOVEMBER 15, 2021

Because of everything that can go wrong, it’s imperative for organizations to constantly track metrics that indicate user satisfaction and have a robust complaint resolution model in place. Without agreeing on the single source of truth, you’ll end up in meetings arguing about metrics instead of helping your users.

Mobile 225

Mobile Social Media Monitoring Metrics 225

Scalegrid

JANUARY 11, 2024

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

The Netflix TechBlog

OCTOBER 18, 2019

Faisal Siddiqi Infrastructure for Contextual Bandits and Reinforcement Learning?—? As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides.

Infrastructure 100

Infrastructure Metrics Architecture Efficiency 100

The Netflix TechBlog

NOVEMBER 29, 2023

A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. The pandemic, however, posed unique challenges in conducting a conventional in-lab subjective test with HDR encodes.

Open Source 252

Open Source Software Engineering Internet Internet 252

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

DECEMBER 10, 2020

Change starts by thoroughly evaluating whether the current architecture, tools, and processes for configuration, infrastructure, code delivery pipelines, testing, and monitoring enable improved customer experience faster and with high quality or not. Rethinking the process means digital transformation.

Strategy 186

Strategy Performance Logistics Monitoring 186

Dynatrace

MARCH 16, 2021

Despite these investments, these organizations have complete visibility into just 11% of the applications and infrastructure in their environments. The traditional machine learning approach relies on statistics to compile metrics and events and produce a set of correlated alerts. What type of AI is the best approach for AIOps?

Artificial Intelligence 200

Artificial Intelligence Open Source Cloud Analytics 200

Dynatrace

NOVEMBER 2, 2023

Establish a FinOps culture that supports buy-in from all stakeholders, as well as metrics that all teams understand and use. It’s also important to provide training for engineers, developers, chief information officers, and any others as needed. FinOps behavioral change management.

Cloud 205

Cloud Strategy Retail Energy 205

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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

JULY 27, 2020

We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Dynatrace news. Click on connect. Select the User Journey Workflow.

Analytics 175

Analytics Artificial Intelligence Metrics Design 175

The Netflix TechBlog

DECEMBER 2, 2019

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? This is a hard problem because we must determine if and how the QoE metric distributions differ between experiences.

Metrics 143

Metrics Strategy Efficiency Testing 143

The Netflix TechBlog

DECEMBER 2, 2019

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? This is a hard problem because we must determine if and how the QoE metric distributions differ between experiences.

Metrics 140

Metrics Strategy Efficiency Testing 140