Azure, Programming, Scalability and Technology - Technology Performance Pulse

Kubernetes in the wild report 2023

Dynatrace

JANUARY 16, 2023

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

Open Source

Open Source Java Operating System Programming

Stuff The Internet Says On Scalability For July 6th, 2018

High Scalability

JULY 6, 2018

tyingq : This is why AWS and Azure continue to gain market share in cloud, while Google remains relativity stagnant, despite (in many cases) superior technology. These perturbations can be thus considered a program for the new task. Then again, technological advances often begin with attempts to do something familiar.

Internet

Internet Internet Scalability Google

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. By centralizing access to resources, teams can easily containerize , configure, and run modern applications across their IT stack using application programming interface (API) connections. What is hyperconverged infrastructure?

Infrastructure

Infrastructure Storage Virtualization Network

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. Understanding the context. OpenPipeline then filters and preprocesses that data to manage and reduce costs.

Analytics

Analytics Processing Transportation Storage

Weighing a microservices approach means covering all architecture bases

Dynatrace

JULY 7, 2022

Then, they can split these services into functional application programming interfaces (APIs), rather than shipping applications as one large, collective unit. Microservice design patterns allow developers to use their preferred programming language or framework, which helps to prevent employee churn and the need for outsourced talent.

Architecture

Architecture Serverless Azure Programming

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

High Scalability

JULY 20, 2018

Yet we still program with text—in files. DonHopkins : NeWS differs from the current technology stack in that it was all coherently designed at once by James Gosling and David Rosenthal, by taking several steps back and thinking deeply about all the different problems it was trying to solve together. There are a few more quotes.

Internet

Internet Internet Scalability Automotive

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

What Is a Workload in Cloud Computing

Scalegrid

JANUARY 12, 2024

These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices. Strategic allocation of these resources plays a crucial role in achieving scalability, cost savings, improved performance, and staying ahead of advancements in the field.

Cloud

Cloud Virtualization Storage Efficiency

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. By utilizing this scalability, businesses have total freedom. You are both captain and crew.

Database

Database Cloud Hardware Storage

The Amazing Evolution of In-Memory Computing

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. Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation.

Ecommerce

Ecommerce Cache Scalability IoT

The Amazing Evolution of In-Memory Computing

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. Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation.

Ecommerce

Ecommerce Cache Scalability IoT

MLOps and DevOps: Why Data Makes It Different

O'Reilly

OCTOBER 19, 2021

What does a modern technology stack for streamlined ML processes look like? 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.

DevOps

DevOps Software Engineering Infrastructure Open Source

Why Use “Real-Time Digital Twins” for Streaming Analytics?

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? Based on technology from the Trill research project, the Microsoft Stream Analytics platform offers an elegant and powerful platform for implementing applications like this. What Problems Does Streaming Analytics Solve?

Analytics

Analytics Azure Processing Speed

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

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics

Logistics Retail Analytics Azure

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

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics

Logistics Retail Analytics Azure

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

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics

Logistics Retail Analytics Azure

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

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. Version6: files metadata in MySQL, files stored in EOS/GCS/S3/Azure served via HTTP, search in Elasticsearch.

Architecture

Architecture Cache Azure Storage

Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

MAY 19, 2020

This highly scalable cloud service is designed to simultaneously and cost-effectively track telemetry from millions of data sources and provide real-time feedback in milliseconds while simultaneously performing continuous, aggregate analytics every few seconds.

Logistics

Logistics IoT Analytics Azure

Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

MAY 19, 2020

This highly scalable cloud service is designed to simultaneously and cost-effectively track telemetry from millions of data sources and provide real-time feedback in milliseconds while simultaneously performing continuous, aggregate analytics every few seconds.

Logistics

Logistics IoT Analytics Azure

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. In this time of crisis, it’s likely the case that the technology of real-time digital twins has arrived at the right time to help our overtaxed medical professionals.

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. In this time of crisis, it’s likely the case that the technology of real-time digital twins has arrived at the right time to help our overtaxed medical professionals.

Logistics

Logistics Analytics Scalability Cloud

Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

JANUARY 31, 2020

They are made possible by scalable, in-memory computing technology hosted on clusters of cloud-based servers. This provides the fast response times and scalable throughput needed to support many thousands of data sources.

Analytics

Analytics Social Media Ecommerce Serverless

The Need for Real-Time Device Tracking

ScaleOut Software

JULY 19, 2021

The technology that can do this is called in-memory computing. In-memory computing has the speed and scalability needed to generate responses within milliseconds, and it can evaluate and report aggregate trends every few seconds. A New Approach: Real-Time Device Tracking.

IoT

IoT Analytics Big Data Architecture

Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

JANUARY 31, 2020

They are made possible by scalable, in-memory computing technology hosted on clusters of cloud-based servers. This provides the fast response times and scalable throughput needed to support many thousands of data sources.

Analytics

Analytics Social Media Serverless Cloud

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics

Analytics IoT Lambda Big Data

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics

Analytics IoT Lambda Big Data

Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

AUGUST 25, 2020

Cobbling together these diverse technologies would require several skill sets, lengthy development time, and higher operational costs. Compare this approach to the complexity of building out an application server farm, database, analytics application, and visualization to accomplish the same goals at higher cost and lower performance.

Airlines

Airlines Mobile Analytics C++

Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

AUGUST 25, 2020

Cobbling together these diverse technologies would require several skill sets, lengthy development time, and higher operational costs. Compare this approach to the complexity of building out an application server farm, database, analytics application, and visualization to accomplish the same goals at higher cost and lower performance.

Airlines

Airlines Mobile Analytics C++

Technology Performance Pulse

Kubernetes in the wild report 2023

Stuff The Internet Says On Scalability For July 6th, 2018

Trending Sources

What is hyperconverged infrastructure? Realizing the benefits of HCI

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

Weighing a microservices approach means covering all architecture bases

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

Adding New Capabilities for Real-Time Analytics to Azure IoT

What Is a Workload in Cloud Computing

DBaaS vs Self-Managed Cloud Databases

The Amazing Evolution of In-Memory Computing

The Amazing Evolution of In-Memory Computing

MLOps and DevOps: Why Data Makes It Different

Why Use “Real-Time Digital Twins” for Streaming Analytics?

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

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

Announcing the ScaleOut Digital Twin Streaming Service™

Announcing the ScaleOut Digital Twin Streaming Service™

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

Real-Time Digital Twins: A New Approach to Streaming Analytics

The Need for Real-Time Device Tracking

Real-Time Digital Twins: A New Approach to Streaming Analytics

Using Real-Time Digital Twins for Aggregate Analytics

Using Real-Time Digital Twins for Aggregate Analytics

Using Real-Time Digital Twins for Corporate Contact Tracing

Using Real-Time Digital Twins for Corporate Contact Tracing

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