Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. Organizations usually implement observability using a combination of instrumentation methods including open-source instrumentation tools, such as OpenTelemetry.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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 137

Azure Serverless IoT Lambda 137

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. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 221

Google Cloud Serverless Azure 221

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Organizations are realizing the cost savings and management benefits of serverless automation. What is AWS Lambda? How does AWS Lambda work?

Lambda 179

Lambda AWS Serverless Hardware 179

Adrian Cockcroft

NOVEMBER 26, 2023

Learn how SK ecoplant and AWS are collaborating to use IoT sensors to collect field data and AI to deliver water quality predictions, enhancing decision-making and delivering waste management insights. Explore an implementation of this architecture with PVH, the parent company of Tommy Hilfiger and Calvin Klein.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Because the scope of these solutions is limited by their nature, they also tend to create silos in which teams can disagree on service-level objectives (SLOs) and metrics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148