Database, IoT, Monitoring and Scalability - Technology Performance Pulse

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 Google Cloud Functions?

Dynatrace

OCTOBER 11, 2021

Scalability is a major feature of GCF. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable. GCF also has relevance in IoT and file processing tasks. Observability and monitoring challenges with Google Cloud Functions. How Google Cloud Functions works. Pay only for accumulated usage.

Google

Google Cloud Serverless Azure

What is AWS Lambda?

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly.

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. 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.

IoT

IoT Analytics Big Data Architecture

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

ScaleOut Software

APRIL 6, 2021

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. Message are delivered to the grid using messaging hubs, such as Azure IoT Hub, AWS IoT Core, Kafka, a built-in REST service, or directly using APIs.

IoT

IoT Azure Analytics Healthcare

Top 9 web development trends to expect in 2022

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Internet of Things (IoT). IoT can be defined as a technology of interconnected devices where human involvement is not required for data transfer. IoT is one of the most vibrant tech trends among current trends in web application development. How does IoT work? IoT tracking systems.

Blockchain

Blockchain IoT Development Serverless

Towards a Reliable Device Management Platform

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. the former for access to the Kafka clusters and the latter for service monitoring and alerts.

Latency

Latency Traffic Transportation Cloud

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. The ScaleOut Digital Twin Streaming Service is available now.

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. The ScaleOut Digital Twin Streaming Service is available now.

Logistics

Logistics IoT Analytics Azure

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

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. 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.

Logistics

Logistics Retail Analytics Azure

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

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. 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.

Logistics

Logistics Retail Analytics Azure

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

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. 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.

Logistics

Logistics Retail Analytics Azure

Latency vs. Throughput: Navigating the Digital Highway

VoltDB

FEBRUARY 29, 2024

Additionally, businesses must continually monitor and analyze application performance to identify and mitigate latency issues as they arise. THE DIGITAL FUTURE: SPEEDING UP THE HIGHWAY Thanks to technological advancements, we’re witnessing the evolution of our digital highway. 5G networks, for instance, widen the highway considerably.

Latency

Latency Games Traffic Network

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

A one size fits all database doesn't fit anyone

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database

Database AWS Games Latency

Technology Performance Pulse

Adding New Capabilities for Real-Time Analytics to Azure IoT

What is Google Cloud Functions?

Trending Sources

What is AWS Lambda?

The Need for Real-Time Device Tracking

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

Top 9 web development trends to expect in 2022

Towards a Reliable Device Management Platform

Announcing the ScaleOut Digital Twin Streaming Service™

Announcing the ScaleOut Digital Twin Streaming Service™

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

Latency vs. Throughput: Navigating the Digital Highway

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

A one size fits all database doesn't fit anyone

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