Autoscaling¶

Architecture¶

Design Patterns¶

Sidecar Pattern¶

• (2023) thenewstack.io: Sidecars are Changing the Kubernetes Load-Testing Landscape [ADVANCED LEVEL] [COMMUNITY-TOOL] — Explores how native sidecar containers (introduced in K8s 1.28) redefine load-testing execution. By decoupling helper utilities from core application workloads, sidecars simplify performance benchmarking and operational telemetry.

Infrastructure and Platform¶

Autoscaling (1)¶

Event-Driven Scaling¶

• (2024) keda.sh: Kubernetes Event-driven Autoscaling. Application autoscaling made simple. [GO CONTENT] [ADVANCED LEVEL] [COMMUNITY-TOOL] — KEDA (Kubernetes Event-driven Autoscaling) is a CNCF Graduate project that brings event-driven autoscaling to Kubernetes workloads. Acting as a custom metrics adapter, it integrates seamlessly with external event sources (e.g., Kafka, RabbitMQ, Prometheus) to drive Horizontal Pod Autoscaler behaviors, including scaling down to zero.
• (2023) kedify.io: Prometheus and Kubernetes Horizontal Pod Autoscaler don’t talk, KEDA does [GO CONTENT] [COMMUNITY-TOOL] — Analyzes the telemetry gap between Prometheus metrics and the Kubernetes HPA. Evaluates how Kedify and KEDA act as the unifying abstraction layers, avoiding complex native Prometheus Adapter setups and streamlining scale-to-zero configurations.
• (2022) opcito.com: A guide to mastering autoscaling in Kubernetes with KEDA [GO CONTENT] [COMMUNITY-TOOL] — Comprehensive guide on mastering KEDA autoscaling. Details architectural components like Scalers, Metrics Adapter, and Controller. Explains how KEDA intercepts traffic and translates complex telemetry into HPA scaling decisions.
• (2022) dev.to/vinod827: Scale your apps using KEDA in Kubernetes [YAML CONTENT] [COMMUNITY-TOOL] — Step-by-step tutorial on scaling microservices in a Kubernetes cluster using KEDA. Includes manifests and structural explanations for deploying ScaledObjects with popular triggers like RabbitMQ and Azure Service Bus.
• (2021) itnext.io: Event Driven Autoscaling [YAML CONTENT] [COMMUNITY-TOOL] — Broad architectural deep-dive into the paradigm shift from resource-based scaling (CPU/Memory) to event-driven paradigms. Compares native Kubernetes HPAs with KEDA-driven microservices scaling, highlighting performance optimization and cloud cost savings.
• (2020) partlycloudy.blog: Horizontal Autoscaling in Kubernetes #3 – KEDA [YAML CONTENT] [COMMUNITY-TOOL] — A detailed technical exploration of implementing KEDA in Kubernetes to resolve the limitations of traditional HPA metrics. Walks through real-world deployment patterns and explains the configuration of ScaledObjects. Highly useful for engineers transitioning from CPU/Memory-based scaling to queue-length metrics.
• (2020) thenewstack.io: CNCF KEDA 2.0 Scales up Event-Driven Programming on Kubernetes [GO CONTENT] [ADVANCED LEVEL] [COMMUNITY-TOOL] — Explores the architectural evolution of KEDA 2.0, emphasizing its improved integration with Kubernetes HPA, support for custom scalers, and upgraded security controls. The release solidified KEDA's status as an enterprise-grade component for event-driven serverless topologies on Kubernetes.

Request-Driven Scaling¶

• (2021) dev.to/danielepolencic: Request-based autoscaling in Kubernetes: scaling to zero [GO CONTENT] [ADVANCED LEVEL] [COMMUNITY-TOOL] — Analyzes the mechanics of scale-to-zero capabilities in Kubernetes, focusing on HTTP request buffering and activator-driven routing. Contrasts traditional resource-metrics Horizontal Pod Autoscaler (HPA) with Knative-style Pod autoscaling. Essential reading for architects designing resource-optimized serverless architectures on Kubernetes.

Performance Engineering¶

Load Testing¶

• (2021) itnext.io: Kubernetes: load-testing and high-load tuning — problems and solutions [SHELL CONTENT] [ADVANCED LEVEL] [COMMUNITY-TOOL] — Architect-level guide to high-load performance testing and OS/Kernel-level tuning inside Kubernetes clusters. Highlights connection limits, TCP socket recycling, thread pooling adjustments, and optimizing conntrack tables to handle traffic spikes.
• (2021) engineering.zalando.com: Building an End to End load test automation system on top of Kubernetes [PYTHON CONTENT] [ADVANCED LEVEL] [COMMUNITY-TOOL] — Details Zalando's architectural implementation of an end-to-end load test automation pipeline hosted natively on Kubernetes. Explains how they orchestrate distributed locust/JMeter agents to continuously validate systemic performance thresholds during deployment cycles.

Kubernetes and Scaling¶

Deployment Tutorials¶

Enterprise Cloud App¶

• (2024) cloud.ibm.com: Tutorial - Scalable webapp 🌟 [YAML CONTENT] [COMMUNITY-TOOL] [GUIDE] — An IBM enterprise tutorial providing deployment patterns for resilient, horizontally autoscaling web architectures in cloud environments. Focuses on routing pipelines, managed databases, and multi-zone cluster scale configurations.

Microservices¶

Scaling Patterns¶

• (2021) thenewstack.io: Scaling Microservices on Kubernetes 🌟 [N/A CONTENT] [COMMUNITY-TOOL] — A systematic review outlining why microservice-based applications on Kubernetes scale more efficiently than monolithic equivalents. Details patterns for isolating performance-critical application layers and scaling them horizontally without bloated infrastructure footprints.

💡 Explore Related: OCP 4 | Serverless | Kubectl Commands

🔗 See Also: Postman | Angular