TechOps Examples

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AI agents don’t have passports. That’s a problem.

Agents complete hundreds of tasks. Then they move platforms and start from zero.

No portable credentials. No persistent identity. No cross-platform trust.

This becomes painful when:

→ Security reviews block deployment
→ Compliance asks for accountability proof
→ Platforms don’t trust third-party agents

Not hype. Infrastructure discussion.

IN TODAY'S EDITION

🧠 Use Case
  • How AWS Lambda Prevents Function Throttling During Traffic Spikes

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🧠 USE CASE

How AWS Lambda Prevents Function Throttling During Traffic Spikes

Imagine you run a ticket booking system for live concerts.

You have two AWS Lambda functions:

function-orange Handles seat reservations.

function-blue Handles payment processing.

Everything runs smoothly until ticket sales open at midnight. Suddenly, traffic spikes as thousands rush in, making function orange surge.

If not managed properly, it could consume all concurrency, throttling function blue and failing payments.

To prevent this, AWS Lambda provides Reserved Concurrency and Provisioned Concurrency to control execution behavior and resource allocation.

1. Reserved Concurrency For Fair Resource Allocation

Reserved concurrency guarantees that a function always has access to a specific portion of concurrency, but also prevents it from exceeding that limit.

  • function-orange has 400 reserved concurrency (shaded orange).

  • function-blue has 400 reserved concurrency (shaded blue).

  • The remaining 200 concurrency is unreserved, available for any other function.

What’s Happening?
  • At t1, function orange starts handling seat bookings and scales normally.

  • By t3, it hits its 400 concurrency limit, throttling excess requests and cannot scale further.

  • Meanwhile, function-blue (payments) is also handling its own requests but stays within its own reserved 400 limit.

  • The remaining 200 concurrency is unreserved for other functions.

This way, reserved concurrency ensures that critical functions don’t get starved of execution capacity.

Heads Up: If reserved concurrency is set too low, your function might be throttled unnecessarily, even when there’s unused capacity elsewhere.

2. Provisioned Concurrency For Pre Warming Execution Environments

Unlike reserved concurrency, provisioned concurrency does not limit execution. Instead, it keeps Lambda prewarmed to avoid cold starts.

  • function-orange now has 400 provisioned concurrency (pre warmed instances).

  • The remaining 600 concurrency is unreserved, available for other functions.

What’s Happening?
  • At t1-t2, function-orange starts ramping up as ticket sales open.

  • At t3, it seamlessly scales to 400 requests without delays, thanks to pre warmed execution environments.

  • By t5, function-orange continues to scale beyond 400, using the unreserved concurrency pool (600).

Heads Up: Provisioned concurrency costs extra, even when idle. It’s best used for latency sensitive applications like real time transactions or user interactions.

In my experience, the most powerful strategy is combining both reserved and provisioned concurrency for high priority workloads.

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