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Building Resilient Public Networking on AWS: Part 4

Xebia

One of the key differences between the approach in this post and the previous one is that here, the Application Load Balancers (ALBs) are private, so the only element exposed directly to the Internet is the Global Accelerator and its Edge locations. These steps are clearly marked in the following diagram.

AWS 130
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. API Gateway also provides a WebSocket API.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

Additionally, you can access device historical data or device metrics. The device metrics are stored in an Athena DB named "iot_ops_glue_db" in a table named "iot_device_metrics". For direct device actions like start, stop, or reboot, we use the action-on-device action group, which invokes a Lambda function.

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Better CloudWatch Metrics in Honeycomb with the OpenTelemetry Collector

Honeycomb

CloudWatch metrics can be a very useful source of information for a number of AWS services that dont produce telemetry as well as instrumented code. There are also a number of useful metrics for non-web-request based functions, like metrics on concurrent database requests. New to Honeycomb? Get your free account today!

Metrics 52
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What Is a Telemetry Pipeline?

Honeycomb

In a simple deployment, an application will emit spans, metrics, and logs which will be sent to api.honeycomb.io This also adds the blue lines, which denote metrics data. The metrics are periodically emitted from applications that don’t contribute to traces, such as a database. and show up in charts.

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The Present and Future of Arm and AWS Graviton at Honeycomb

Honeycomb

The AWS Application Load Balancer (ALB) then naturally sent a sample of our production workload to the pods scheduled on C7g family instances, allowing us to test and validate with a more realistic workload than we used for the earlier November dogfood tests. We’re also very heavy users of AWS Lambda for our storage engine.

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Optimizing Medication Management: How AWS ETL Transforms Healthcare Data for a Leading PBM

Perficient

Automated ETL trigger AWS EventBridge triggers the AWS Lambda based on events, which in turn initiates a job. Performance Monitoring on the Cloud AWS CloudWatch serves as a vigilant monitoring tool that provides alarms and logs for tracking and analysis of ETL job performance metrics, ensuring efficient and optimized workflows.