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Raaga N.G on Muck Rack

Raaga N.G

As seen in: Amazon Web Services
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Articles

Unified observability in Amazon OpenSearch Service: metrics, traces, and AI agent debugging in a single interface

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By Muthu Pitchaimani, Raaga N.G, Kevin Lewin
| Amazon Web Services
Amazon OpenSearch Service now brings application monitoring, native Amazon Managed Service for Prometheus integration, and AI agent tracing together in OpenSearch UI‘s observability workspace. You can query Prometheus metrics with PromQL alongside logs and traces stored in Amazon OpenSearch Service, trace an AI agent’s full reasoning chain down to the failing tool call, and drill from a service-level health view to the exact span that caused a checkout failure, all without leaving the interface.
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Get started with Amazon OpenSearch Service: T-shirt size your domain for log analytics | Amazon Web Services

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By Harsh Bansal, Aditya Challa, Raaga N.G
| Amazon Web Services
When you’re spinning up your Amazon OpenSearch Service domain, you need to figure out the storage, instance types, and instance count; decide the sharding strategies and whether to use a cluster manager; and enable zone awareness. Generally, we consider storage as a guideline for determining instance count, but not other parameters. In this post, we offer some recommendations based on T-shirt sizing for log analytics workloads.
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Securing Amazon S3 presigned URLs for serverless applications | Amazon Web Services

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By Raaga N.G, Ryan Hillard
| Amazon Web Services
Modern serverless applications must be capable of seamlessly handling large file uploads. This blog demonstrates how to leverage Amazon Simple Storage Service (Amazon S3) presigned URLs to allow your users to securely upload files to S3 without requiring explicit permissions in the AWS Account.
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