Azure, Programming, Scalability and Storage - Technology Performance Pulse

What is hyperconverged infrastructure? Realizing the benefits of HCI

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure

Infrastructure Storage Virtualization Network

Kubernetes in the wild report 2023

Dynatrace

JANUARY 16, 2023

The report also reveals the leading programming languages practitioners use for application workloads. are the top 3 programming languages for Kubernetes application workloads. Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Java, Go, and Node.js

Open Source

Open Source Java Operating System Programming

Adding New Capabilities for Real-Time Analytics to Azure IoT

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

IoT Azure Analytics Serverless

Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform.

Analytics

Analytics Processing Transportation Storage

What Is a Workload in Cloud Computing

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. This also aids scalability down the line.

Cloud

Cloud Virtualization Storage Efficiency

Stuff The Internet Says On Scalability For July 20th, 2018

High Scalability

JULY 20, 2018

Yet we still program with text—in files. He told me his work in functional programming languages failed, and would likely always fail, because it was easy to do hard things but incredibly difficult to do simple things. Hey, it's HighScalability time: World History Timeline from 3000BC to 2000AD. Do you like this sort of Stuff?

Internet

Internet Internet Scalability Automotive

DBaaS vs Self-Managed Cloud Databases

Scalegrid

DECEMBER 6, 2023

Database as a Service (DBaaS) providers are an alternative option that acts almost like going on a cruise ship: quick provisioning is facilitated by them, while scalability, support services, and flexibility benefit from pay-as-you-go models. They also come with some drawbacks—high costs and resources needed for successful management.

Database

Database Cloud Hardware Storage

Percona Distribution for PostgreSQL 16.1, Percona Distribution for MySQL 8.1.0: Release Roundup December 4, 2023

Percona

DECEMBER 4, 2023

Percona software is designed for peak performance, uncompromised security, limitless scalability, and disaster-proofed availability. It is the most stable, scalable, and secure open source MySQL distribution based on Percona Server for MySQL. Participation in the anonymous program is optional. was released on November 30, 2023.

Open Source

Open Source Azure Servers Programming

The Amazing Evolution of In-Memory Computing

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce

Ecommerce Cache Scalability IoT

The Amazing Evolution of In-Memory Computing

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce

Ecommerce Cache Scalability IoT

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

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

Architecture Cache Azure Storage

The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

JANUARY 9, 2020

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. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics

Logistics Retail Analytics Azure

The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

JANUARY 9, 2020

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. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics

Logistics Retail Analytics Azure

The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

JANUARY 9, 2020

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. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics

Logistics Retail Analytics Azure

The Need for Real-Time Device Tracking

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 best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT

IoT Analytics Big Data Architecture

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. What are real-time digital twins and why are they useful here? Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics

Logistics Analytics Scalability Cloud

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. What are real-time digital twins and why are they useful here? Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics

Logistics Analytics Scalability Cloud

C++ Libraries: Casablanca

Sutter's Mill

APRIL 30, 2012

They don’t compose particularly well with code based on the standard C++ libraries, and they don’t take advantage of modern C++ language features and practices in their programming models. wait(); For those of you looking to build Azure services in C++, “Casablanca” comes with a Visual Studio wizard to set up everything up correctly.

C++

C++ Azure Programming Cloud

Technology Performance Pulse

What is hyperconverged infrastructure? Realizing the benefits of HCI

Kubernetes in the wild report 2023

Trending Sources

Adding New Capabilities for Real-Time Analytics to Azure IoT

Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

What Is a Workload in Cloud Computing

Stuff The Internet Says On Scalability For July 20th, 2018

DBaaS vs Self-Managed Cloud Databases

Percona Distribution for PostgreSQL 16.1, Percona Distribution for MySQL 8.1.0: Release Roundup December 4, 2023

The Amazing Evolution of In-Memory Computing

The Amazing Evolution of In-Memory Computing

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

The Next Generation in Logistics Tracking with Real-Time Digital Twins

The Next Generation in Logistics Tracking with Real-Time Digital Twins

The Next Generation in Logistics Tracking with Real-Time Digital Twins

The Need for Real-Time Device Tracking

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

C++ Libraries: Casablanca

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