guide-oreilly-prinicipals-and-patterns-for-distributed-application-architecture

Learn how to build scalable, high-availability systems that balance performance, resilience, and cost-efficiency.

Modern applications aren’t built for just one environment—they must seamlessly operate across cloud, multi-cloud, and edge infrastructures. This guide provides the principles, patterns, and best practices to design distributed systems that are scalable, resilient, and efficient.

What you’ll learn:

  • Why cloud infrastructure alone isn't enough—and how to design apps that handle the inherent constraints of cloud and edge
  • Core principles for managing elasticity, latency, uncertainty, failure recovery, consistency, and consensus in large-scale distributed systems
  • Proven patterns for distributed systems (e.g., event sourcing, CQRS, sagas, async processing, flow control, state partitioning, replication, sharding, and gossiping) to navigate the complexities of cloud and edge environments
  • How to design distributed apps using the fundamental principles of microservices and an events-first, domain-driven approach

Get your copy. Fill out the form, and we’ll send you a digital copy straight to your inbox.

“Cloud resilience is not a given. Effective resilience must be intentionally architected and implemented throughout applications and services."¹

Akka is offering you complimentary access to this Gartner® report, packed with key insights and practical guidance on:

  • Designing resilient cloud-native applications to anticipate and manage potential failures
  • Adopting a risk-based approach to effectively prioritize and mitigate common cloud risks
  • Using automation and cloud-native features to meet strict recovery and availability needs

Download this report to learn the nine principles you should adopt to improve your organization’s cloud resilience. No email required.

gartner-report-9-principals-cloud-resilience-mockup