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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS Lambda. AWS monitoring best practices.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Azure Functions in a nutshell.

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4 steps to modernize your IT service operations with Dynatrace

Dynatrace

We came up with list of four key questions, then answered and demoed in our recent webinar. Dynatrace Synthetic allows you check the availability and performance for your business-critical applications. Stephan demoed how avodaq internally leverages Dynatrace Synthetic.

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AWS and Dynatrace automation hit the jackpot at Perform Las Vegas

Dynatrace

Well, that’s exactly what the Dynatrace University team did to support Dynatrace’s hands-on training (HoT) days at Dynatrace’s annual user conference Perform in Las Vegas. For the sessions, each student needed to have their own Dynatrace SaaS tenant to monitor and perform the hands-on exercises. Quite impressive! Automation.

AWS 168
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week. Monitoring serverless applications. Pay Per Use.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Azure Functions in a nutshell.

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How to maximize serverless benefits and overcome its challenges

Dynatrace

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Serverless computing frameworks typically rely on software containers to provide on-demand performance and provisioning. Difficult to monitor. Optimizes resources.