Percona

DECEMBER 14, 2023

Will 2023 be called the year of Generative Artificial Intelligence (AI)? I played a bit with ChatGPT in February to see how it would respond to random database-related inquiries, and I found it pretty impressive and annoying at the same time. Enhanced Downgrade Compatibility: MongoDB 7.0 Enhanced Rollback Mechanism: MongoDB 7.0

Database 91

Database Artificial Intelligence Servers Operating System 91

Testsigma

JULY 14, 2020

Database tables. Time-efficient. In current times data is everything- Big Data, AI (Artificial Intelligence) and ML (Machine learning) endorse this fact with the highest splendour. Test data storage can be achieved by any of the below options-. Excel files. CSV files. XML files. Text files.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

MAY 1, 2023

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. NoSQL database. A data lakehouse approach is ideal for unifying big data with analytics to improve IT operational performance and efficiency.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Abhishek Tiwari

DECEMBER 13, 2017

This is a question recently asked and explored by a team of Google researchers led by Jeff Dean with a major focus on database indexes. Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. And I’m sure we’ve all experienced frustration when an application crashes, is slow to load, or doesn’t load at all.

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. And I’m sure we’ve all experienced frustration when an application crashes, is slow to load, or doesn’t load at all.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

KeyCDN

MARCH 14, 2019

It can be used to decouple your frontend from your backend and improve server efficiency. Customer Service Chatbots Speaking of which, artificial intelligence has evolved to the point that bots can answer customers’ questions and solve problems more efficiently than humans.

Development 101

Development Blockchain Serverless Social Media 101

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Telemetry data from a serverless environment is quite different from a database or a virtual machine (VM), for example, but a business still needs to normalize and centrally manage all the information as it comes in.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Abhishek Tiwari

DECEMBER 27, 2017

ETL is a product of the relational database era and it has not evolved much in last decade. It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

O'Reilly

MARCH 23, 2023

2 However, you don’t need to know how Transformers work to use large language models effectively, any more than you need to know how a database works to use a database. We see our worst features reflected in our ideas about artificial intelligence, and perhaps rightly so.

Google 104

Google Open Source Programming Code 104