O'Reilly

OCTOBER 22, 2024

The way we train juniors, whether it’s at university or in a boot camp or whether they train themselves from the materials we make available to them (Long Live the Internet), we imply from the very beginning that there’s a correct answer. The answer to “what’s the solution” is “it depends.”

Development 135

Development Code Google Engineering 135

The Netflix TechBlog

NOVEMBER 17, 2022

Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. We employed an adaptive network design that is applicable to the wide variety of resolutions we use for encoding.

Network 300

Network Media Innovation Serverless 300

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 288

Strategy Artificial Intelligence Storage Cloud 288

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 276

Cache Azure Infrastructure Monitoring 276

Smashing Magazine

JULY 14, 2021

Frustrating Design Patterns: Broken Filters. Frustrating Design Patterns: Broken Filters. Part Of: Design Patterns. Designing For The Comfortable Range. A well-designed filter in a well-designed trip planner UI. Vitaly Friedman. 2021-07-14T13:30:00+00:00. 2021-07-14T14:23:10+00:00. Filters are everywhere.

Design 145

Design Retail Mobile Ecommerce 145

The Netflix TechBlog

JANUARY 30, 2023

What data would you like to have if you were designing an asset suite? Images for the title “Purple Hearts” Creative Insights To create suites that are relevant, attractive, and authentic, we’ve relied on creative strategists and designers with intimate knowledge of the titles to recommend and create the right art for upcoming titles.

Media 262

Media Design Innovation Mobile 262

The Netflix TechBlog

NOVEMBER 11, 2022

In semi-supervised anomaly detection models, only a set of benign examples are required for training. Data Data Labeling For the task of anomaly detection in streaming platforms, as we have neither an already trained model nor any labeled data samples, we use structural a priori domain-specific rule-based assumptions, for data labeling.

C++ 321

C++ Metrics Tuning Strategy 321

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

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 290

Software Software Infrastructure Network 290

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 264

Technology Technology Scalability Availability 264

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

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 297

Metrics Engineering Code Tuning 297

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 246

AWS Best Practices Cloud Analytics 246

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 117

Design Media Testing Entertainment 117

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 245

Programming Best Practices Innovation Analytics 245

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 297

Media Storage Infrastructure Systems 297

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 195

Storage Design Scalability Latency 195

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 279

AWS Cloud IoT Database 279

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 262

Benchmarking C++ Availability Programming 262

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 238

Open Source AWS Infrastructure Energy 238

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 235

Systems Media Cache Open Source 235

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 312

Best Practices DevOps Education Serverless 312

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

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

Scalegrid

OCTOBER 18, 2024

Benefits of a GUI in Database Management The following are the solutions to the problems with CLIs that GUIs bring 3 : Reducing the high degree of memorization and training needed to apply the syntax of the terminal commands by providing an intuitive visual interface.

Open Source 147

Open Source Database Cloud Operating System 147

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

O'Reilly

FEBRUARY 11, 2025

Third, train yourself to use AI effectively. And describing the testdescribing the function that youre testing, its arguments, the return type, and the expected resultsforces you to think carefully about what youre designing. Well be designing and building new kinds of software that we couldn’t have imagined a few years ago.

Programming 94

Programming Code Software Software 94

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

O'Reilly

MARCH 11, 2025

The surprise wasnt so much that DeepSeek managed to build a good modelalthough, at least in the United States, many technologists havent taken seriously the abilities of Chinas technology sectorbut the estimate that the training cost for R1 was only about $5 million. Thats roughly 1/10th what it cost to train OpenAIs most recent models.

Artificial Intelligence 63

Artificial Intelligence Infrastructure Government Open Source 63

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 118

Design Testing Education Processing 118

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

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 246

Tuning Cloud Open Source Network 246

Dynatrace

NOVEMBER 2, 2022

Our technical overview Bootcamp team rounds off the day with an exciting deep dive technical session designed to demonstrate how to best innovate and operate with less effort. Who can you expect to see? Kicking off the event is the face of the Dynatrace partner business, Michael Allen. Save your space and Amplify your expertise.

Programming 246

Programming Innovation Design Development 246

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 299

Media Innovation Energy Architecture 299

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 246

Education Government Innovation Cloud 246

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