Artificial Intelligence Metrics Open Source Serverless 
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.
Dynatrace
NOVEMBER 22, 2021
When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces. Dynatrace news.
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Dynatrace
JANUARY 12, 2021
It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. Turning raw data into actionable business intelligence. Observability brings multicloud environments to heel.
Dynatrace
DECEMBER 22, 2021
Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.
Dynatrace
JUNE 1, 2021
Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Dynatrace news. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.
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