Architecture, Azure, IoT and Processing - Technology Performance Pulse

No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure

Azure Cloud Big Data Virtualization

Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021.

AWS

AWS Energy IoT Best Practices

The Need for Real-Time Device Tracking

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives.

IoT

IoT Analytics Big Data Architecture

Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This simplifies the installation process and ensures portability across operating systems.

IoT

IoT Azure Analytics Healthcare

What is Azure Functions?

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure

Azure Serverless IoT Lambda

Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud

Cloud Development Analytics Azure

Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud

Cloud Development Analytics Azure

Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

JULY 14, 2021

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. 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.

IoT

IoT Azure Analytics Serverless

The Amazing Evolution of In-Memory Computing

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce

Ecommerce Cache Scalability IoT

The Amazing Evolution of In-Memory Computing

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce

Ecommerce Cache Scalability IoT

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.

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.

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.

Logistics

Logistics Retail Analytics Azure

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics

Analytics IoT Lambda Big Data

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics

Analytics IoT Lambda Big Data

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud.

Serverless

Serverless Efficiency Lambda Azure

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. The Greenplum Architecture. The Greenplum Architecture.

Big Data

Big Data Database Artificial Intelligence Open Source

What is observability? Not just logs, metrics and traces

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics

Metrics Open Source Monitoring Infrastructure

Top 9 web development trends to expect in 2022

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Serverless Architecture. Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. AI chatbots can handle complex processes and prompt answering, thereby providing seamless digital experiences with a company. How does IoT work?

Blockchain

Blockchain IoT Development Serverless

Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics

Logistics IoT Analytics Azure

Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics

Logistics IoT Analytics Azure

How To Choose A Headless CMS

Smashing Magazine

JULY 6, 2021

Moving to a headless CMS is not an easy decision and the selection process should not be taken lightly. Microservices architecture. When it comes to a Traditional CMS, the CMS and the resulting front-end website are built on a monolithic architecture. Monolithic architecture takes a back seat with headless CMSes.

Cache

Cache Website Mobile Google

What is APM?

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. Point solutions only provide a limited view of a company’s application architecture.

Monitoring

Monitoring Mobile Social Media Artificial Intelligence

Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

NOVEMBER 3, 2018

When it comes to innovation, most of CMS solutions are constrained by their legacy architecture (read strong coupling between content management and content presentation) which makes it difficult to serve content to new types of emerging channels such as apps and devices.

Systems

Systems Cache Website Network

Technology Performance Pulse

No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Sustainability Talks and Updates from AWS re:Invent 2023

Trending Sources

The Need for Real-Time Device Tracking

Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

What is Azure Functions?

Developing Real-Time Digital Twins for Cloud Deployment

Developing Real-Time Digital Twins for Cloud Deployment

Adding New Capabilities for Real-Time Analytics to Azure IoT

The Amazing Evolution of In-Memory Computing

The Amazing Evolution of In-Memory Computing

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

Using Real-Time Digital Twins for Aggregate Analytics

Using Real-Time Digital Twins for Aggregate Analytics

What is serverless computing? Driving efficiency without sacrificing observability

What is Greenplum Database? Intro to the Big Data Database

What is observability? Not just logs, metrics and traces

Top 9 web development trends to expect in 2022

Announcing the ScaleOut Digital Twin Streaming Service™

Announcing the ScaleOut Digital Twin Streaming Service™

How To Choose A Headless CMS

What is APM?

Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

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