Remove Availability Remove Azure Remove Lambda Remove Systems
article thumbnail

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Pay Per Use.

article thumbnail

Transform log data into actionable metrics and have Davis AI do the work for you

Dynatrace

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. Key information about your system and applications comes from logs.

Metrics 220
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Seamless AI-powered observability for multicloud serverless applications

Dynatrace

In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. 3 End-to-end distributed trace including Azure Functions. New to Dynatrace? trial page

article thumbnail

Cloud operations and observability boost resilience for American Family

Dynatrace

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.

Cloud 173
article thumbnail

What is function as a service? App development gets FaaS and furious

Dynatrace

Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. Increased availability. Because a third party manages part of the infrastructure, IT teams give up a measure of control over system architecture.

article thumbnail

Full visibility into your serverless stack with AI-powered FaaS monitoring

Dynatrace

Application workloads that are based on serverless functions—especially AWS Lambda, Azure Functions, and Google Cloud Functions— are a key trend in cloud-first application development and operations. To better understand real-world use cases and pain points, we have : Launched a Preview release of AWS Lambda monitoring.

article thumbnail

How to overcome the cloud observability wall

Dynatrace

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 231