Official Blog - World Web Technology

DECEMBER 4, 2023

How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC is an essential framework for the total software development process as it aids in managing software development projects effectively.

Processing 64

Processing Software Software Development 64

The Morning Paper

JUNE 6, 2019

Towards federated learning at scale: system design Bonawitz et al., This is a high level paper describing Google’s production system for federated learning. Federated Learning (FL) is a distributed machine learning approach which enables training on a large corpus of decentralized data residing on devices like mobile phones.

Systems 71

Systems Design Google Servers 71

The Netflix TechBlog

MARCH 14, 2023

Much of the ML literature focuses on model training, evaluation, and scoring. User provides a sample image to find other similar images Prior engineering work Approach #1: on-demand batch processing Our first approach to surface these innovations was a tool to trigger these algorithms on-demand and on a per-show basis. Incredible!”

Media 291

Media Innovation Energy Architecture 291

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

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 Network 76

Dynatrace

MAY 2, 2024

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Generative AI in IT operations – report Read the study to discover how artificial intelligence (AI) can help IT Ops teams accelerate processes, enable digital transformation, and reduce costs.

Artificial Intelligence 235

Artificial Intelligence Cloud Best Practices DevOps 235

Dynatrace

JUNE 14, 2023

This digital transformation journey requires AI-powered answers and intelligent automation that legacy systems can’t deliver. 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.

Programming 185

Programming Analytics Innovation Best Practices 185

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. 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. At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 187

Storage Design Scalability Latency 187

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Cloud computing has become a widely-used model of computing, as it offers a number of benefits over traditional, on-premises computing systems. Can you expand? Are you hosted on the cloud?

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Cloud Serverless Internet Internet 201

The Netflix TechBlog

NOVEMBER 11, 2022

In semi-supervised anomaly detection models, only a set of benign examples are required for training. Streaming Platforms Commercial streaming platforms shown in Figure 1 mainly rely on Digital Rights Management (DRM) systems. a browser) is normally matched with a certain DRM system (e.g.,

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C++ Metrics Tuning Strategy 312

O'Reilly

NOVEMBER 21, 2019

In a classic 1983 paper , cognitive psychologist Lisanne Bainbridge drew attention to a curious irony: so-called “automated” systems were, in practice, usually attended by one or more human operators. The more advanced the system, she observed, “the more crucial…the contribution of the human operator.” RPA explained.

Processing 83

Processing Programming Virtualization Technology 83

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. . “Every year, poor data quality costs organizations an average $12.9

DevOps 198

DevOps Analytics Airlines Metrics 198

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. I believe concept testing is a pivotal part of the up-front UX process.

Design 98

Design Testing Education Processing 98

Dynatrace

MAY 8, 2023

Digitizing internal processes can improve information flow and enhance collaboration among employees. However, digital transformation requires significant investment in technology infrastructure and processes. It often involves replacing legacy systems and workflows that have been in place for years or even decades.

Strategy 180

Strategy Retail DevOps Education 180

O'Reilly

DECEMBER 12, 2023

Another group of cases involving text (typically novels and novelists) argue that using copyrighted texts as part of the training data for a Large Language Model (LLM) is itself copyright infringement, 1 even if the model never reproduces those texts as part of its output. How do we make sense of this?

Artificial Intelligence 99

Artificial Intelligence Media Google Processing 99

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” They require extensive training, and real-user must spend valuable time filtering any false positives. But what is AIOps, exactly?

Artificial Intelligence 218

Artificial Intelligence DevOps Innovation Metrics 218

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. A large number of batch workflows run daily to serve various business needs.

Java 202

Java Scalability Traffic Architecture 202

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 102

Design Media Testing Entertainment 102

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. This can reduce labor costs and enhance reliability by enabling systems to self-heal. Make SRE accessible.

Best Practices 193

Best Practices Open Source Tuning Infrastructure 193

Dynatrace

AUGUST 27, 2020

AWS Systems Manager Run Command. Amazon Neptune is a fast, reliable, fully-managed graph database service designed for applications working with highly connected datasets. SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high quality models. Amazon Transfer Family.

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AWS Cloud IoT Database 272

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 215

AWS Best Practices Analytics Cloud 215

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

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 228

Tuning Cloud Open Source Network 228

Scalegrid

JANUARY 9, 2024

As more and more enterprises incorporate cloud-based systems, ensuring their security becomes a key concern. The selection process for a suitable cloud provider is crucial as it involves aligning business objectives, regulatory requirements, and current technological infrastructure with strong cloud security measures.

Strategy 130

Strategy Cloud Best Practices Government 130

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. The certification process involves the verification of partner’s implementation of features provided by the Netflix SDK.

Testing 163

Testing AWS Lambda Network 163

The Morning Paper

SEPTEMBER 26, 2019

Wireless attacks on aircraft instrument landing systems Sathaye et al., Today’s paper is a good reminder of just how important it is becoming to consider cyber threat models in what are primary physical systems, especially if you happen to be flying on an aeroplane – which I am right now as I write this! A quick primer on ILS.

Wireless 91

Wireless Systems Airlines Hardware 91

Strategic Tech

NOVEMBER 29, 2019

The result is that we create better designed software systems and teams of problem solvers rather than order takers. Used judiciously, EventStorming gives us the ability to uncover enough information about our domain and our business that we can use it to design our microservices, bounded contexts, and even our teams.

Design 59

Design IoT Energy Software 59

O'Reilly

MAY 9, 2023

It’s hard to ignore the discussion around the Open Letter arguing for a pause in the development of advanced AI systems. It means monitoring systems after they are deployed, updating and tuning them as needed because any model will eventually grow “stale” and start performing badly. Are they dangerous? Will they destroy humanity?

Infrastructure 84

Infrastructure Government Design Tuning 84

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. This is only possible because of our no-index approach and massive parallel processing capabilities, which enable Dynatrace to offer extra-long data retention (15+ months) at full granularity that is cost-efficient and fast.

Analytics 235

Analytics Social Media Metrics Efficiency 235

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. Bill Simmons, CTO of Dataxu, states, "We process 3 million ad requests a second - 100,000 features per request.

Scalability 159

Scalability Hardware AWS Tuning 159

Strategic Tech

JULY 22, 2019

How do we break a large system into smaller, more manageable modular components? In Domain-Driven Design, a large system is decomposed into bounded contexts , which become natural boundaries in code as microservices and as teams in the organisation. 30 minutes) Bounded Context Design Canvas (min.

Design 76

Design Systems Strategy Processing 76

O'Reilly

JUNE 7, 2022

Not so many years ago, one problem with AI was that AI systems were only good at one thing. We don’t know how much power it took to train Gato, but GPT-3 required about 1.3 And granted, a lot can be done to optimize training (and DeepMind has done a lot of work on models that require less energy). Is that answer a million?

Artificial Intelligence 145

Artificial Intelligence Games Energy Open Source 145

The Netflix TechBlog

MARCH 4, 2024

Given the extensive scope and intricate complexity inherent to such a distributed, large-scale system, even if the failed jobs account for a tiny portion of the total workload, diagnosing and remediating job failures can cause considerable operational burdens. In this way, no human intervention is required in the remediation process.

Tuning 210

Tuning Efficiency Big Data Engineering 210

O'Reilly

MARCH 23, 2023

It can pretend to be an operating system. which has received some specialized training. with specialized training. Sydney is based on GPT-4, 1 with additional training. Kosmos-1 Developed by Microsoft, and trained on image content in addition to text. And some of these things are mind blowing. It’s much more.

Google 103

Google Open Source Programming Code 103

The Netflix TechBlog

DECEMBER 11, 2020

This gives us access to Netflix’s Java ecosystem, while also giving us the robust language features such as coroutines for efficient parallel fetches, and an expressive type system with null safety. The schema registry also integrates with our CI/CD systems like Spinnaker to automatically setup cloud networking for DGSs.

Architecture 249

Architecture Best Practices Engineering Open Source 249