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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. Although the APIs were all managed by the Google API manager Apigee, the bank group was not getting consistent data types from the output.

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Lessons learned from enterprise service-level objective management

Dynatrace

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google. So, what did they do?

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Artificial Intelligence in Cloud Computing

Scalegrid

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. With a multi-cloud architecture, Scalegrid offers the flexibility and competitive edge necessary for AI applications in the rapidly evolving tech environment.

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Revisiting “Serverless Architectures”

The Symphonia

I started writing “ Serverless Architectures ” in May 2016. Fast forward to two years later and the article has had more than half a million visits, regularly appears in the top five Google search results for “Serverless”, and helped launched Symphonia ?—?my I thought a few folks might be interested. my company with John Chapin.

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Monitoring Serverless Applications

Dotcom-Montior

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost.

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

MaaSS for Cloud Architects: Deployment and Architecture Validations. Thanks to PurePath, architects can validate how transactions flow from service-to-service and how traffic gets routed through service mashes (AWS App Mesh, Istio, Linkerd) or proxies. 1 Validate Deployment. 3 Automatic Problem Detection. MaaS for k8s Administrators.

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Automated Deployment and Architectural Validation with Pitometer and keptn!

Dynatrace

At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. Bamboo, Azure DevOps, AWS CodePipeline …. Beyond basic metrics: Detecting Architectural Regressions. It takes your artifacts (e.g: