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. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. Technology Enabling Multi-Cloud and Hybrid Cloud The functioning of various hybrid cloud deployment models is supported by a range of technologies.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Avoid lock-in with open-source technologies. What is Google Cloud Functions? GCF use cases.

Google 226

Google Cloud Serverless Azure 226

Scalegrid

MARCH 14, 2024

Integrating technology from private and public clouds and on-premises resources within one hybrid cloud platform creates an integrated IT infrastructure that leverages the strengths of each component. 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

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. PostgreSQL popularity is skyrocketing in the enterprise space.

Strategy 182

Strategy Cloud Java Open Source 182

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.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. Peter deSantis does a Monday evening technology keynote that usually has most of the sustainability related content in it. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

High Scalability

JUNE 22, 2018

using them to respond to storage events on s3 or database events or auth events is super easy and powerful. lossless analog image-compression technology.". Eitally : there are a few critical differences between GCP and AWS or Azure. Charlie Demerjian : what does Intel have planned for their server roadmap?

Internet 113

Internet Internet Scalability Artificial Intelligence 113

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The technology that can do this is called in-memory computing. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

Dynatrace

SEPTEMBER 17, 2019

Their technology stack looks like this: Spring Boot-based Microservices. PostgreSQL & Elastic for data storage. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. NGINX as an API Gateway. REDIS for caching. 2 Validate Configuration.

AWS 128

AWS Monitoring Ecommerce Lambda 128

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. Microsoft SQL Server Database Engine Input/Output Requirements. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system.

Servers 90

Servers Media Cache Storage 90

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Enprowess

JANUARY 12, 2022

Voice Search Technology. Blockchain Technology. A Progressive web applications (PWA) are the latest trends in website development, built using standard web technologies like HTML and JavaScript. The technology has gained popularity for its possibility to propose a high-quality user experience. AI-powered Chatbots.

Blockchain 59

Blockchain IoT Development Serverless 59

Tasktop

JANUARY 9, 2020

Given that most large-scale organizations use at least three main tools in their software delivery toolchains (for development, testing and support), the cost of data extraction and storage begins to stack up and fast. Furthermore, many SaaS vendors purge data periodically to save on storage, limiting your access to historical data.

Software 59

Software Software Metrics Database 59

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. These questions can be answered using the latest data as it streams in from the field.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. These questions can be answered using the latest data as it streams in from the field.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

Cloud 40

Cloud Azure Virtualization Scalability 40