The Netflix TechBlog

MARCH 7, 2024

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. There are several ways to provide explainability to models but one way is to train an explainer model based on each trained model.

Systems 238

Systems Media Cache Open Source 238

DZone

JULY 21, 2021

Its UML foundation saved designers of the language from reinventing core concepts in modeling and representation. The representational approach was esoteric and rigid, making training difficult. This produced the Systems Modeling Language, or SysML, built on top of the software-focused Unified Modeling Language (UML).

Engineering 246

Engineering Systems Design Software 246

Dynatrace

JANUARY 17, 2024

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 234

Strategy Artificial Intelligence Storage Cloud 234

DZone

AUGUST 9, 2023

Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up. The proposed methodology encapsulates the ML models and their environment into a standardized Docker container unit.

Scalability 246

Scalability Best Practices Open Source Virtualization 246

Dynatrace

NOVEMBER 3, 2023

are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 are technologically very different; Python and JMX extensions designed for the Extension Framework 1.0 We’ve added Python support to Extensions 2.0, However, since Extension Framework versions 1.0 to the Extension Framework 2.0,

Technology 255

Technology Technology Scalability Availability 255

The Netflix TechBlog

APRIL 26, 2022

We built Axion primarily to remove any training-serving skew and make offline experimentation faster. We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it.

Storage 197

Storage Design Scalability Latency 197

The Netflix TechBlog

FEBRUARY 13, 2023

Training Performance Media model training poses multiple system challenges in storage, network, and GPUs. We have developed a large-scale GPU training cluster based on Ray , which supports multi-GPU / multi-node distributed training. We accomplish this by paving the path to: Accessing and processing media data (e.g.

Media 299

Media Storage Infrastructure Systems 299

Dynatrace

JANUARY 31, 2024

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

Cache 215

Cache Azure Infrastructure Monitoring 215

The Netflix TechBlog

JUNE 20, 2023

To address the first challenge, we use pre trained sentence-level embeddings, e.g. from an embedding model optimized for paraphrase identification , to represent text in both sources. In order to leverage this noisily aligned data source, we need to align time-stamped text (e.g.

Benchmarking 264

Benchmarking C++ Availability Programming 264

The Netflix TechBlog

DECEMBER 3, 2019

On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. By design, Metaflow is a deceptively simple Python library: Data scientists can structure their workflow as a Directed Acyclic Graph of steps, as depicted above.

Open Source 239

Open Source AWS Infrastructure Energy 239

Dynatrace

AUGUST 27, 2020

Amazon Neptune is a fast, reliable, fully-managed graph database service designed for applications working with highly connected datasets. Amazon SageMaker is a fully managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning (ML) models quickly.

AWS 275

AWS Cloud IoT Database 275

Dynatrace

AUGUST 8, 2024

Employee training in cybersecurity best practices and maintaining up-to-date software and systems are also crucial. High demand Sudden spikes in demand can overwhelm systems that are not designed to handle such loads, leading to outages. This often occurs during major events, promotions, or unexpected surges in usage.

Software 260

Software Software Infrastructure Network 260

The Morning Paper

AUGUST 25, 2019

Snuba: automating weak supervision to label training data Varma & Ré, VLDB 2019. It’s tackling the same fundamental problem: how to gather enough labeled data to train a model, and how to effectively use it in a weak supervision setting (supervised learning with noisy labels). It took me quite a while to get my head around this!

Logistics 76

Logistics Efficiency Design Performance 76

Dynatrace

SEPTEMBER 30, 2021

By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term. What is the value of AWS training and certification? You and your peers – if you team up – can benefit on multiple levels from AWS training and certification. Core AWS certifications.

AWS 222

AWS Best Practices Cloud Analytics 222

Smashing Magazine

MARCH 2, 2020

Inspired Design Decisions: Neville Brody Design Cannot Remain Neutral. Inspired Design Decisions: Neville Brody Design Cannot Remain Neutral. Local bands designed their own publicity and the mostly two-colour artwork was edgy and unpolished. Previously On “Inspired Design Decisions”. Andrew Clarke.

Design 105

Design Media Testing Entertainment 105

Scalegrid

MAY 13, 2020

It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

The Netflix TechBlog

DECEMBER 19, 2024

This has been a guiding design principle with Metaflow since its inception. Scaling experiments with Metaboost bindingsbacked by MetaflowConfig Consider a Metaboost ML project named `demo` that creates and loads data to custom tables (ETL managed by Maestro), and then trains a simple model on this data (ML Pipeline managed by Metaflow).

Best Practices 145

Best Practices Cache Metrics Code 145

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 214

Java C++ Benchmarking Programming 214

Dynatrace

JUNE 4, 2024

Fast feedback cycles on model improvements While the Site Reliability Guardian was originally designed to validate new software releases, Dynatrace has internally extended its application area to include validation of models for Davis AI. A series of models are continuously trained on Dynatrace tenants to effectively set objectives.

Metrics 244

Metrics Engineering Code Tuning 244

Strategic Tech

MARCH 16, 2021

I believe that attitude towards the design of code and architecture is one of them. In my experience, the culture is better and the results are better in orgs where engineers and architects obsess over the design of code and architecture. Both valuing design and striving for continuous delivery are necessary.

Software Engineering 80

Software Engineering Design Engineering Software 80

Dynatrace

SEPTEMBER 20, 2022

DevSecOps best practices provide guidelines to help organizations achieve efficient and secure application design, development, implementation, and management. Some DevSecOps best practices include the following: Security by design. The education of employees about security awareness. Disparate toolsets.

Best Practices 275

Best Practices DevOps Education Serverless 275

The Netflix TechBlog

MAY 21, 2019

The device ecosystem is rich with partners ranging from Silicon-on-Chip (SoC) manufacturers, Original Design Manufacturer (ODM) and Original Equipment Manufacturer (OEM) vendors. Solving the above problems could help Netflix and our Partners save time and money during the entire lifecycle of device design, build, test, and certification.

Testing 164

Testing AWS Lambda Network 164

The Netflix TechBlog

MARCH 14, 2023

Much of the ML literature focuses on model training, evaluation, and scoring. Dawn Chenette , Design Lead This approach had several benefits for product engineering. At the same time, we kept the design open enough to allow future extensibility. Incredible!” Thus, we didn’t build all the modules completely.

Media 301

Media Innovation Energy Architecture 301

Dynatrace

JUNE 14, 2023

These areas together underpin the new Dynatrace Value Incentive Partner Program (VIPP), which we designed to provide more opportunities, more services, and more benefits to our partners. Accelerate business growth with the latest sales and technical training. Through a two-step approach, partners can become Dynatrace Services Endorsed.

Programming 192

Programming Best Practices Innovation Analytics 192

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. Machine learning models are usually trained tens or hundreds of times. In machine learning, more is usually more.

Scalability 132

Scalability Hardware AWS Tuning 132

Dynatrace

JUNE 16, 2022

Runtime application self-protection is a security design pattern for embedding web application protection directly into an application or application runtime environment. Rather than using a trained model to predict behavior, RASP watches an application’s runtime, studying the application’s task execution to detect attacks.

Tuning 233

Tuning Cloud Open Source Network 233

The Morning Paper

FEBRUARY 16, 2020

design , Sheng, CIDR’20. ’ design. the majority of our effort goes into curating training data, i.e., specification-by-example of what the system should do. design delivered Google four main benefits: Precision and recall quickly surpassed the results from the heuristics-based system. In Software 1.0

Systems 84

Systems Design Software Software 84

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 246

Cloud Serverless Innovation Architecture 246

Dynatrace

MARCH 13, 2024

The following are the general requirements for reporting for the NIS2 directive: Risk management: Organizations are obligated to execute a comprehensive set of critical measures designed to effectively mitigate cyber risks. Address the root cause of cybersecurity incidents & fix vulnerabilities promptly.

Best Practices 240

Best Practices Education Strategy Analytics 240

High Scalability

DECEMBER 16, 2022

I'm sorry, but as a large language model trained by OpenAI, I don't have the ability to browse the internet or keep up-to-date with current events. As a large language model trained by OpenAI, I do not have the ability to browse the internet or keep up-to-date with current events. Which cloud provider would you recommend?

Cloud 201

Cloud Serverless Internet Internet 201

High Scalability

NOVEMBER 9, 2018

You can now train CIFAR10 for just $0.06 AMD is now using the second-gen Infinity Fabric to connect a multi-chip design with a 14nm I/O die serving as the linchpin of the design. Proposals whose "blockchain" would need to add 1GB/hour, that sort of thing. and ImageNet for $12.60 (4x less than in April!): [link].

Internet 192

Internet Internet Scalability Blockchain 192

Dynatrace

FEBRUARY 26, 2024

Elevating user experience and design with collaborative partner innovation The top submissions stood out by solving complex business challenges and focusing on creating an exceptional user experience. Members gain access to exclusive events and training, fostering a community of champions. Below are the winners.

Innovation 211

Innovation Analytics Mobile Website 211

Smashing Magazine

NOVEMBER 5, 2021

The Value Of Concept Testing As Part Of Product Design. The Value Of Concept Testing As Part Of Product Design. UX design teams are passionate about our approach to solving problems and providing users with experiences that lead to their desired outcomes. UX teams should consider it a mandatory step in designing a product.

Design 101

Design Testing Education Processing 101

The Netflix TechBlog

OCTOBER 23, 2019

Feature Overview Reproducibility Polynote promotes notebook reproducibility by design. for example, researchers might use Scala and Spark to generate training data (cleaning, subsampling, etc), while actual training might be done with popular Python ML libraries like tensorflow or scikit-learn.

Open Source 235

Open Source Code Website Availability 235

The Netflix TechBlog

DECEMBER 11, 2020

We partnered with Netflix’s Developer Experience (DevEx) team to build out documentation, training materials, and tutorials for developers. Our goal was to design a GraphQL schema that was reflective of the domain itself, not the database model. Embracing a collaborative schema design approach was essential to achieving this goal.

Architecture 257

Architecture Best Practices Engineering Open Source 257

Dynatrace

DECEMBER 8, 2022

Therefore, many lack training and familiarity with newer tools designed for cloud-based technologies. Our team of highly skilled consultants delivers strategic guidance and leadership designed to drive innovation through a variety of formats to suit your needs.

Education 214

Education Government Innovation Cloud 214

Dynatrace

OCTOBER 14, 2021

Traditional AIOps: Traditional AIOps approaches are designed to reduce alerts and utilize machine-learning models to deliver correlation-based dashboards. They require extensive training, and real-user must spend valuable time filtering any false positives. training data) that the algorithm can then learn from.

Artificial Intelligence 224

Artificial Intelligence DevOps Innovation Metrics 224