Horizontal Pod Autoscaler vs Keda

Developers should use HPA when running applications on Kubernetes that experience fluctuating traffic or workloads, such as web services, APIs, or microservices, to ensure high availability and cost-efficiency meets developers should use keda when building microservices or serverless applications on kubernetes that experience fluctuating traffic, as it optimizes resource usage and reduces costs by scaling down during low demand. Here's our take.

Horizontal Pod Autoscaler

Nice Pick

Developers should use HPA when running applications on Kubernetes that experience fluctuating traffic or workloads, such as web services, APIs, or microservices, to ensure high availability and cost-efficiency

Pros

• It helps prevent over-provisioning by scaling down during low demand and scaling up during peaks, reducing operational costs and improving responsiveness
• Related to: kubernetes, container-orchestration

Cons

• Specific tradeoffs depend on your use case

Keda

Developers should use Keda when building microservices or serverless applications on Kubernetes that experience fluctuating traffic, as it optimizes resource usage and reduces costs by scaling down during low demand

Pros

• It is particularly useful for event-driven architectures, such as processing data from Kafka or RabbitMQ, where scaling needs to respond to incoming events in real-time
• Related to: kubernetes, docker

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Horizontal Pod Autoscaler is a tool while Keda is a platform. We picked Horizontal Pod Autoscaler based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Horizontal Pod Autoscaler wins

Based on overall popularity. Horizontal Pod Autoscaler is more widely used, but Keda excels in its own space.