Database IoT Monitoring Scalability 
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.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
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.
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.
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.
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.
Expert insights. Personalized for you.
181 
Let's personalize your content