Analytics Azure Lambda Systems 
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.
Dynatrace
APRIL 25, 2023
Observability is essential to ensure the reliability, security and quality of any software system. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing.
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Dynatrace
APRIL 22, 2022
After American Family completed its initial conversion to Dynatrace, they needed to automate how their system ingested Amazon CloudWatch metrics. To reduce the manual effort of account reconciliation and running the scripts, they converted the Python scripts to Lambda functions. Step 1: Automate AWS metrics ingestion with Dynatrace.
Dynatrace
MARCH 16, 2022
We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. Key information about your system and applications comes from logs. This also applies to logging use cases for certain technologies.
Dynatrace
NOVEMBER 22, 2021
When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. What are the typical use cases for AWS Lambda? Dynatrace news.
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.
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.
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