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Improve your cloud deployments with automated observability into your Azure Deployment Slots

Dynatrace

With Azure Deployment Slots, a feature of the Azure App Service, you can create one or more slots that can host different versions of your app. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. .

Azure 132
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Observability is essential to ensure the reliability, security and quality of any software system. Scale automatically based on the demand and traffic patterns. The elasticity of serverless services helps organizations scale as needed.

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Easy SLA and SLO reporting for all your API endpoints with public synthetic HTTP monitors

Dynatrace

Dynatrace Digital Experience Monitoring , as part of the Dynatrace Software Intelligence Platform, connects front-end monitoring and the outside-in user perspective with application performance to understand the impact of performance issues across your full stack on user experience and business outcomes. Virginia (Azure), N.

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Architected for resiliency: How Dynatrace withstands data center outages

Dynatrace

Software reliability and resiliency don’t just happen by simply moving your software to a modern stack, or by moving your workloads to the cloud. And the last sentence of the email was what made me want to share this story publicly, as it’s a testimonial to how modern software engineering and operations should make you feel.

AWS 183
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Breaking data silos: Liquid Reply’s journey to custom API observability with OpenTelemetry and Dynatrace

Dynatrace

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. Solving custom API observability with OpenTelemetry Because the bank group needed complete coverage for all API traffic, it wanted to standardize tracing on all API calls.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Containers can be replicated or deleted on the fly to meet varying end-user traffic.

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Lessons learned from enterprise service-level objective management

Dynatrace

Another customer is from a multinational software corporation that develops enterprise software to manage business operations and customer relations. In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google. Example 2: Four golden signals. Saturation.