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How To Run a Docker Container on the Cloud: Top 5 CaaS Solutions

DZone

Containerization simplifies the software development process because it eliminates dealing with dependencies and working with specific hardware. AWS ECS AWS Lambda AWS App Runner Azure Container Instances Google Cloud Run Conclusion Nonetheless, the biggest advantage of using containers is down to the portability they offer.

Cloud 354
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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models. What can we move?

Cloud 216
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

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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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Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 251
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Driving your FinOps strategy with observability best practices

Dynatrace

Proactive cost alerting Proactive cost alerting is the practice of implementing automated systems or processes to monitor financial data, identify potential issues or anomalies, ensure compliance, and alert relevant stakeholders before problems escalate. This awareness is important when the goal is to drive cost-conscious engineering.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 208