How do you find the root cause of a configuration management failure when you have a peak of hundreds of changes in 15 minutes on thousands of servers?
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Developers can already use Cloudflare Workflows to build long-running, multi-step applications on Workers. Now, Python Workflows are here, meaning you can use your language of choice to orchestrate multi-step applications.
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Note: This post was updated with additional details regarding AWS Lambda.
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Today, we’re releasing Amazon Nova 2 Lite, a fast, cost-effective reasoning model for everyday workloads. Available in Amazon Bedrock, the model offers industry-leading price performance and helps enterprises and developers build ...
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Since we announced Amazon SageMaker AI with MLflow in June 2024, our customers have been using MLflow tracking servers to manage their machine learning (ML) and AI experimentation workflows. Building on this foundation, we’re cont...
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Modern applications increasingly require complex and long-running coordination between services, such as multi-step payment processing, AI agent orchestration, or approval processes awaiting human decisions. Building these traditi...
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Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce average results, or tackle the complexity and expense of advanced model customization. Tra...
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