Database, IoT, Programming and Technology - Technology Performance Pulse

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms.

Serverless

Serverless Efficiency Lambda 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

What is Azure Functions?

Dynatrace

APRIL 5, 2021

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. Azure IoT Functions, for instance, processes requests for Azure IoT Edge.

Azure

Azure Serverless IoT Lambda

Carving an AWS certification path

Dynatrace

SEPTEMBER 30, 2021

As an AWS Advanced Technology Partner , this was a great opportunity for Dynatrace developers to sharpen their AWS skills and pursue or up-level their Amazon certifications. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. Machine learning.

AWS

AWS Best Practices Analytics Cloud

Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

NOVEMBER 26, 2023

Peter deSantis does a Monday evening technology keynote that usually has most of the sustainability related content in it. I’m expecting an update on their water sustainability program that was announced last year, and a new number for the amount of private purchase agreement (PPA) power that Amazon has under contract. AWS speaker: T.

AWS

AWS Energy IoT Best Practices

What is AWS Lambda?

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. A new record entering a database table. The Amazon Web Services ecosystem. Customizing and connecting these services requires code.

Lambda

Lambda AWS Serverless Hardware

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. The technology that can do this is called in-memory computing. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT

IoT Analytics Big Data Architecture

Node vs React Comparison: Which to Choose for Your JS Project?

Enprowess

SEPTEMBER 7, 2021

Quick summary : Node vs React Comparison is not correct because both technologies are entirely different things. We have started our introduction with the words “JavaScript-based” technologies. JavaScript is one of the most famous and loved programming languages nowadays. IoT-based applications. JavaScript. and React.js.

Open Source

Open Source Virtualization Programming Servers

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. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

Ecommerce

Ecommerce Cache Scalability IoT

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

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. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics

Logistics Retail Analytics Azure

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

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. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics

Logistics Retail Analytics Azure

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

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. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.

Logistics

Logistics Retail Analytics Azure

Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

MAY 19, 2020

Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics

Logistics IoT Analytics Azure

Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

MAY 19, 2020

Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics

Logistics IoT Analytics Azure

Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.

Scalability

Scalability Cache Airlines Healthcare

Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.

Scalability

Scalability Cache Airlines Healthcare

Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database

Database Lambda AWS IoT

Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

APRIL 9, 2015

At Amazon we have hundreds of teams using machine learning and by making use of the Machine Learning Service we can significantly speed up the time they use to bring their technologies into production. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Details on the AWS Blog.

Lambda

Lambda Cloud IoT AWS

Technology Performance Pulse

What is serverless computing? Driving efficiency without sacrificing observability

Adding New Capabilities for Real-Time Analytics to Azure IoT

Trending Sources

What is Azure Functions?

Carving an AWS certification path

Sustainability Talks and Updates from AWS re:Invent 2023

What is AWS Lambda?

The Need for Real-Time Device Tracking

Node vs React Comparison: Which to Choose for Your JS Project?

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

Announcing the ScaleOut Digital Twin Streaming Service™

Announcing the ScaleOut Digital Twin Streaming Service™

Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

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