High Scalability

DECEMBER 16, 2022

This model of computing has become increasingly popular in recent years, as it offers a number of benefits, including cost savings, flexibility, scalability, and increased efficiency. Another key benefit of cloud computing is its reliability and availability. Can you expand? Which cloud provider would you recommend?

Cloud 201

Cloud Serverless Internet Internet 201

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. With RAG, a program generates a prompt that includes both the question and the data needed to answer the question. What is the real goal?

Design 95

Design Open Source Database Programming 95

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. As this trend takes hold, software delivery, security, and operations processes will be triggered through application programming interfaces that automate those tasks, based on real-time insights from observability data.

Technology 205

Technology Technology Artificial Intelligence Analytics 205

Dynatrace

FEBRUARY 28, 2022

The most successful organizations manage a skilled team that knows how to accelerate throughput and drive efficiency across their SDLC. One of our customers, a large insurance company with over 700 Dynatrace users, leverages Dynatrace University as part of its ongoing employee education and performance acceleration program.

Virtualization 202

Virtualization Education Cloud Monitoring 202

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. Likewise it has very low requirements on the initial amount of training data.

Testing 163

Testing AWS Lambda Network 163

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Such a combination requires new abstractions and programming models for effective management.

Latency 52

Latency Hardware Cache Architecture 52

Percona

DECEMBER 27, 2023

All of the database automation for running a highly available, resilient, and secure database is built into the operator to simplify the operation and management of your clusters. Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Sutter's Mill

NOVEMBER 11, 2023

This week’s meeting: Meeting #2 of C++26 At the previous meeting in June, the committee adopted the first 40 proposed changes for C++26, including many that had been ready for a couple of meetings and were just waiting for the C++26 train to open to be adopted. For those highlights, see the previous trip report.

C++ 115

C++ Lambda Network Programming 115

Adrian Cockcroft

NOVEMBER 26, 2023

I’m expecting an update on their water sustainability program that was announced last year, and a new number for the amount of private purchase agreement (PPA) power that Amazon has under contract. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52

AWS Energy IoT Best Practices 52

O'Reilly

MAY 25, 2021

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. Note that the dataset on which GPT-3 trained terminated around October 2019. OpenAI’s text generating system GPT-3 has captured mainstream attention.

Social Media 140

Social Media Media Internet Internet 140

All Things Distributed

SEPTEMBER 4, 2017

As a result, there is a critical mass of data available. And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. If you can predict demand, you can plan more efficiently.

Artificial Intelligence 142

Artificial Intelligence Transportation Education Airlines 142

Tasktop

JULY 22, 2021

The framework does an excellent job at providing a freely available knowledge base that serves as a one-stop shop for modern lean-agile practices and DevOps. We must have a deep understanding of what changes will have the biggest impact on velocity, predictability, efficiency, throughput and so on.”.

Metrics 98

Metrics DevOps Efficiency Benchmarking 98

All Things Distributed

FEBRUARY 18, 2015

One of our guiding principles at AWS is to listen closely to our customers and the feedback that I am getting about our training and certification program is very positive. This is why I’m excited to announce the availability of a new Professional level certification from AWS that has been high on the list of our customers.

DevOps 89

DevOps AWS Engineering Innovation 89

Testsigma

FEBRUARY 7, 2022

Popular OS like Linux and Android; Browsers like Firefox and Chrome; Programming languages like Python and JavaScript; Automation tools like Selenium and Appium; are all Open-Source. Testsigma will be available as an open-source project and distributed under the Apache 2.0 Startups are generally budget-challenged. Check out Github.

Open Source 81

Open Source Testing Innovation Speed 81

Testsigma

MAY 6, 2021

Here, we are dealing with the web-based programs accessed by multiple users at a time. We achieve this by performing web testing on mobile and desktop browser programs. . There are many tools in the market that are available for automated testing of a website. They require internet connectivity and a browser to run on.

Mobile 52

Mobile Testing Website Internet 52

Testsigma

SEPTEMBER 15, 2020

The test cases are coded by writing scripts in any programming language like Java, Python, Ruby etc. There are many codeless test automation tools available today in the market. Time Efficiency. In such a situation, codeless automation testing tools seem to be the best option available. What is codeless test automation ?

Testing 59

Testing Testing Tools Code DevOps 59

Testsigma

SEPTEMBER 16, 2021

Automation testing has numerous benefits, the most important is time efficiency. Therefore, when mobile test automation is combined with cloud-based testing platforms – the time efficiency is increased manifolds. . The service providers have a dedicated team for the same purpose and customer support is available 24*7.

Mobile 52

Mobile Cloud Testing Testing Tools 52

Testsigma

JANUARY 22, 2020

Let’s understand in the article, the automation testing skills required to be an efficient and successful automation tester in the software testing industry. The automation testing team can plan internal training sessions to discuss the automation testing approach. How does test automation benefit the software testing industry?

Testing Tools 61

Testing Tools Programming Testing DevOps 61

Official Blog - World Web Technology

NOVEMBER 22, 2023

Their professional staff is skilled in developing unique software programs, mobile apps, and web solutions that boost productivity and revenue. More than a hundred highly trained employees work tirelessly to provide customers with cutting-edge technological solutions.

Software 59

Software Software Development Innovation 59

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures. In essence, it establishes permissions within a Kubernetes cluster.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

Sutter's Mill

JULY 8, 2011

keynote talk at C&B 2011, and it’s time to cover an increasingly open secret: After a decade-long affair with managed languages where it became unfashionable to be interested in C++, C++’s power and efficiency are now getting very fashionable again. already know that C++ is “the” language of choice for demanding applications. .

C++ 40

C++ Lambda Programming Efficiency 40

O'Reilly

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

Open Source 111

Open Source Artificial Intelligence Google Infrastructure 111

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

MARCH 23, 2023

which has received some specialized training. with specialized training. An API for ChatGPT is available. GPT-3 and GPT-4 are not open source, but are available for free and paid access. Sydney is based on GPT-4, 1 with additional training. GPT-2, 3, 3.5, and 4 Large language models developed by OpenAI.

Google 107

Google Open Source Programming Code 107

Dynatrace

APRIL 21, 2023

State and local agencies must spend taxpayer dollars efficiently while building a culture that supports innovation and productivity. APM helps ensure that citizens experience strong application reliability and performance efficiency. Many agencies are forced to hire contractors to manage all the tools, including upgrades.

Government 162

Government Infrastructure Innovation Monitoring 162

Dynatrace

JUNE 5, 2023

As a result, ChatOps has gained widespread popularity as more companies look for ways to improve collaboration, efficiency, and automation. A ChatBot is an automated computer program that simulates human interaction. You can also run commands directly from the chat interface, improving the efficiency of your workflow.

Google 203

Google DevOps Efficiency Monitoring 203

All Things Distributed

NOVEMBER 22, 2016

Machine learning is playing an increasingly important role in many areas of our businesses and our lives and is being employed in a range of computing tasks where programming explicit algorithms is infeasible. The efficiency by which a deep learning framework scales out across multiple cores is one of its defining features.

AWS 167

AWS Open Source Scalability Programming 167

Percona

DECEMBER 18, 2023

Percona software is designed for peak performance, uncompromised security, limitless scalability, and disaster-proofed availability. A release highlight is that Docker images are now available for x86_64 architectures. Participation in the anonymous program is optional. Docker images are now available for x86_64 architectures.

Monitoring 84

Monitoring Open Source Servers Scalability 84

O'Reilly

OCTOBER 19, 2021

There is a decades-long tradition of data-centric programming : developers who have been using data-centric IDEs, such as RStudio, Matlab, Jupyter Notebooks, or even Excel to model complex real-world phenomena, should find this paradigm familiar. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch.

DevOps 140

DevOps Software Engineering Infrastructure Open Source 140

The Netflix TechBlog

OCTOBER 23, 2019

Machine learning researchers often work in multiple programming languages?—?for 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 234

Open Source Code Website Design 234

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. Meson was based on a single leader architecture with high availability. Similarly, ML model training workflows usually consist of tens of thousands of training jobs within a single workflow. But sometimes, it is not efficient.

Java 208

Java Scalability Traffic Architecture 208

The Morning Paper

JANUARY 12, 2020

For example, there may be no good simulator available, exploration may be curtailed by strong safety constraints, and feedback cycles for learning may be slow. This lack of available simulators means learning must be done using data from the real system, and all acting and exploring must be done on the real system. from system logs).

Programming 43

Programming Systems Efficiency Network 43

Percona

OCTOBER 18, 2023

The findings from our 2023 Open Source Database Report highlight that a substantial 42% of all database instances are now licensed through community-supported open source models, and GitHub reports that over 30% of Fortune 100 companies have established open source program offices (OSPO) to coordinate and manage their open source initiatives.

Open Source 89

Open Source Database Strategy Hardware 89

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. Education, tools, and training all support the premise that supporting more browsers is better ( ceteris paribus ), creating a substantial incentive to grease squeaky wheels. Still not available for iOS or iPadOS.

Media 145

Media Games Education Engineering 145

The Morning Paper

APRIL 16, 2019

Teaching rigorous distributed systems with efficient model checking Michael et al., Enabling students to build running performant versions of all of those systems in the time available is one challenge. It highlights a case where students, perhaps trained on good TDD practices (do students get taught that these days??)

Systems 43

Systems Efficiency Testing Strategy 43

All Things Distributed

DECEMBER 13, 2016

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166