# distributed-architecture

Published articles for distributed-architecture.

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## Control Planes, Part 2: When to Stop Configuring Autoscalers and Build Your Own

DevFeed: [Control Planes, Part 2: When to Stop Configuring Autoscalers and Build Your Own](<https://devfeed.tech/articles/control-planes-part-2-when-to-stop-configuring-autoscalers-and-build-your-own-63970.md>)

Original publisher: [Read original article](<https://hackernoon.com/control-planes-part-2-when-to-stop-configuring-autoscalers-and-build-your-own?source=rss>)

Author: Varsha Ganesh

Published: 2026-10-01T23:56:56Z

Content type: article

Language: en

Sources: [HackerNoon](<https://devfeed.tech/sources/hackernoon.md>)

Topics: [control-plane](<https://devfeed.tech/topics/control-plane.md>), [Distributed Systems & Parallel Computing](<https://devfeed.tech/topics/distributed-systems-parallel-computing.md>), [Amazon DynamoDB](<https://devfeed.tech/topics/amazon-dynamodb.md>)

Tags: [autoscaling](<https://devfeed.tech/tags/autoscaling.md>), [aws](<https://devfeed.tech/tags/aws.md>), [backpressure](<https://devfeed.tech/tags/backpressure.md>), [control-plane](<https://devfeed.tech/tags/control-plane.md>), [distributed-architecture](<https://devfeed.tech/tags/distributed-architecture.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [hackernoon-top-story](<https://devfeed.tech/tags/hackernoon-top-story.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [scaling](<https://devfeed.tech/tags/scaling.md>), [software-architecture](<https://devfeed.tech/tags/software-architecture.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>)

### AI overview

The article explains AWS, managed database, and Kubernetes autoscaling, emphasizing metrics that reflect actual bottlenecks. It argues that standard autoscalers generally suit interchangeable, stateless workloads, while stateful or partitioned systems may need custom scaling logic. A bespoke scaler needs resource-aware monitoring, a decision engine, safe execution, backpressure, and observability.

### Source excerpt

How to scale distributed systems: cloud-native autoscaling, Kubernetes scalers, managed database autoscaling, and when to build your own.