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

Dynatrace

AUGUST 27, 2020

Dynatrace’s ability to ingest metrics from all 95 AWS services will be available within the next 60 days. Those in the left column are readily available now, with those in the right available soon. Available Now. Achieve full observability of all AWS services. Coming Soon. AWS AppSync. AWS CloudHSM. Amazon AppStream 2.0.

AWS 279

AWS Cloud IoT Database 279

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. Lacks some advanced coding and debugging tools available in other products.

Open Source 147

Open Source Database Cloud Operating System 147

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

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

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

NOVEMBER 11, 2022

Although model-based anomaly detection approaches are more scalable and suitable for real-time analysis, they highly rely on the availability of (often labeled) context-specific data. In semi-supervised anomaly detection models, only a set of benign examples are required for training.

C++ 321

C++ Metrics Tuning Strategy 321

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. However, it presupposes the availability of high-quality screenplays.

Benchmarking 262

Benchmarking C++ Availability Programming 262

Smashing Magazine

JULY 14, 2021

Frustrating Design Patterns: Broken Filters. Frustrating Design Patterns: Broken Filters. Part Of: Design Patterns. Designing For The Comfortable Range. We do so by breaking our intent down into a set of available features. A well-designed filter in a well-designed trip planner UI. Vitaly Friedman.

Design 145

Design Retail Mobile Ecommerce 145

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

Availability 132

Availability Database Open Source Hardware 132

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

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

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

The Netflix TechBlog

MARCH 14, 2023

Much of the ML literature focuses on model training, evaluation, and scoring. We must quickly surface the most stand-out highlights from the titles available on our service in the form of images and videos in the member experience. Dawn Chenette , Design Lead This approach had several benefits for product engineering.

Media 299

Media Innovation Energy Architecture 299

Dynatrace

JUNE 15, 2021

The subject line said: “Success Story: Major Issue in single AWS Frankfurt Availability Zone!” The problem started at 1:24PM PDT, with the services starting to become available again about 3 hours later. Fact #4: Multi-node, multi-availability zone deployment architecture. Ready to learn more? Rack-aware Cassandra deployments.

AWS 246

AWS Traffic Architecture Azure 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

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

DECEMBER 8, 2022

Therefore, many lack training and familiarity with newer tools designed for cloud-based technologies. Eliminate blind spots and gain valuable insights into the performance and availability of infrastructure and applications with end-to-end observability. Dynatrace offers a frictionless free trial process to help you get started.

Education 246

Education Government Innovation Cloud 246

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. Choose the most promising subset of tests out of thousands of test cases available when running continuous integration against a device.

Testing 164

Testing AWS Lambda Network 164

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 61

Artificial Intelligence Infrastructure Government Open Source 61

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

O'Reilly

FEBRUARY 11, 2025

That implicit context is a critical part of software development and also has to be made available to AI. 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.

Programming 94

Programming Code Software Software 94

High Scalability

DECEMBER 16, 2022

Another key benefit of cloud computing is its reliability and availability. Additionally, because cloud computing services are provided by large, established companies, they are typically highly reliable and available, with robust security and privacy measures in place to protect user data. Which cloud provider would you recommend?

Cloud 201

Cloud Serverless Internet Internet 201

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. availability of a website over a year, your error budget is.05%. How SLOs work.

Metrics 246

Metrics DevOps Best Practices Infrastructure 246

Dynatrace

JULY 6, 2022

More than half of all respondents cited two key SRE adoption barriers: the perceived difficulty of training existing IT professionals in SRE best practices, and the cost and difficulty of finding skilled professionals. Design, implement, and tune effective SLOs. Make SRE accessible. Apply AIOps for analysis and automation.

Best Practices 246

Best Practices Open Source Tuning Infrastructure 246

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

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 255

Architecture Best Practices Engineering Open Source 255

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 246

Artificial Intelligence DevOps Innovation Metrics 246

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 127

Scalability Hardware AWS Tuning 127

The Netflix TechBlog

FEBRUARY 14, 2020

The artwork generated by this pipeline is used to augment the artwork typically sourced from design agencies. Through testing we have learned that with proper checks and human curation in place, assisted artwork candidates can perform on par with agency designed artwork. We call this suite of assisted artwork “The Essential Suite”.

Design 191

Design Open Source C++ Availability 191

O'Reilly

JUNE 11, 2024

At O’Reilly, we’re not just building training materials about AI. It’s in every book, on-demand course, and video, and will eventually be available across our entire learning platform. This design decision was simple, but surprisingly important. Designing the compensation plan was a significant part of the project.

Design 134

Design Open Source Database Programming 134

Alex Podelko

SEPTEMBER 8, 2020

I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed. After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer.

Open Source 223

Open Source Performance Testing Testing Performance 223

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. Improved performance and availability. The third big advantage of cloud migration is performance and availability.

Cloud 241

Cloud Traffic Best Practices Strategy 241

Dynatrace

JANUARY 31, 2024

At its core, data observability is about ensuring the availability, reliability, and quality of data. 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.

DevOps 272

DevOps Analytics Airlines Metrics 272

Dynatrace

NOVEMBER 12, 2021

A new generation of automated solutions — designed to provide end-to-end observability of assets, applications, and performance across legacy and cloud systems — make that job easier, says Federal Chief Technology Officer Willie Hicks at Dynatrace. But these systems must always be on and highly available. What’s the root cause?

Cloud 244

Cloud Monitoring Network Azure 244

The Netflix TechBlog

OCTOBER 16, 2019

Another example of a dataset that needs to be disseminated is the result of a machine-learning model: the results of these models may be used by several teams, but the ML teams behind the model aren’t necessarily interested in maintaining high-availability services in the critical path. for example to train machine-learned models.

Cache 191

Cache Architecture Metrics Java 191

Smashing Magazine

JULY 9, 2021

The case for accessibility is this; we as stakeholders, managers, teams, designers and developers need to do better in not only practicing accessibility but advocating for it as well. without the need for special adaptation or specialized design.”. without the need for special adaptation or specialized design.”.

Website 145

Website Mobile Design Testing 145