Azure Cloud IoT Scalability 
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.
Dynatrace
OCTOBER 11, 2021
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.
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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. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.
Scalegrid
MAY 13, 2020
Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.
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. Scaleout StreamServer® DT was created to meet this need.
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. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.
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. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.
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