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

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

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

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. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

Scalegrid

JANUARY 8, 2024

For example, an application could use on-premises databases while also having access to ‘cloud bursting’ capabilities during times of high demand. This article will focus on the technology behind ScaleGrid’s Database-as-a-Service (DBaaS) solutions and how they align with multi-cloud and hybrid cloud structures.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. But ML/AI-related topics such as natural language processing (NLP, +22% in 2019) and neural networks (+17%) recorded strong growth in usage, too.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

JUNE 20, 2023

Verification, including that of the identity of all participants in a blockchain network, and compliance are woven throughout the workflow and processes. Typically, an enterprise blockchain audit trail will consist of linked blocks containing transactions that reference hyperlinks to data that is stored off chain in traditional databases.

Blockchain 79

Blockchain Network Government Programming 79

Abhishek Tiwari

DECEMBER 27, 2017

ETL is a product of the relational database era and it has not evolved much in last decade. Data solution vendors like SnapLogic and Informatica are already developing machine learning and artificial intelligence (AI) based smart data integration assistants. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

O'Reilly

JULY 25, 2023

Similarly, it taught me that “Background scripts are ideal for handling long-term or ongoing tasks, managing state, maintaining databases, and communicating with remote servers. The content script can access the DOM of the webpage, find the element that contains the publication date, and retrieve the date.”

Programming 98

Programming Code Design Benchmarking 98