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LLMs Demand Observability-Driven Development

Honeycomb

Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time. Instead, ML teams typically build evaluation systems to evaluate the effectiveness of the model or prompt. Users will do things you can’t possibly predict.

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LLMs Demand Observability-Driven Development

Honeycomb

Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time. Instead, ML teams typically build evaluation systems to evaluate the effectiveness of the model or prompt. Users will do things you can’t possibly predict.

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Learning Lambda — Part 9

Mike Roberts

If you reach this limit you’ll start to experience throttling, and you’ll know this because the Throttles CloudWatch metric for your Lambda functions will suddenly have an amount greater than zero. This makes it a great metric to set a Cloudwatch Alarm for. This code is fairly obviously not written in a TDD style!

Lambda 52
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Learning Lambda — Part 9

Mike Roberts

If you reach this limit you’ll start to experience throttling, and you’ll know this because the Throttles CloudWatch metric for your Lambda functions will suddenly have an amount greater than zero. This makes it a great metric to set a Cloudwatch Alarm for. This code is fairly obviously not written in a TDD style!

Lambda 40
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Three Patterns for an Effective Cloud Native Development Workflow

Daniel Bryant

However, although the initialisation of the infrastructure is fast, it is typically not instantaneous (as you might want, say, in a TDD cycle). The re-usable remote infrastructure pattern is often implemented in a bespoke fashion, with platform teams provisioning multiple test environments that can be leased on-demand by engineers.