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πŸ“ System Architecture
Deployment

Large Scale Deployment πŸš€

Deployment is not a one-time activity; it is a continuous process of delivering value through upgrades and bug fixes. In large-scale systems, deployment becomes a multi-layered challenge involving application logic, infrastructure, and operations.


πŸ—οΈ Deployment Challenges

When moving from a single server to a globally distributed system, the complexity of deployment grows exponentially.

1. Application Deployment

Ensuring that new code is rolled out across hundreds or thousands of instances without downtime. This requires sophisticated patterns like Blue-Green or Canary deployments.

2. Infrastructure Deployment

Managing the underlying resourcesβ€”VMs, containers, subnets, and load balancers. Modern architecture relies on Infrastructure as Code (IaC) to ensure consistency and speed.

3. Operations

The "day-to-day" of keeping the system alive. This includes monitoring health, handling failovers, and managing the rollout of bug fixes.

🧩 High-Fidelity & Vendor-Specific Map

This diagram uses a D2-inspired theme and incorporates AWS and Kubernetes concepts to represent a production-ready cloud deployment.


πŸ”§ Operations: The Continuous Loop

Deployment is never "finished." It is a cycle of improvement:

  • Upgrades: Rolling out new features and architectural changes.
  • Bug Fixes: Rapidly patching issues identified through monitoring.

[!IMPORTANT] In a large-scale system, the goal is Zero-Downtime. Every componentβ€”from the database to the message queueβ€”must support rolling upgrades where pieces are replaced one-by-one while the system stays live.


Interview Questions - Large Scale Deployment πŸ’‘

1. What are the key differences between application and infrastructure deployment?

Answer: Application deployment focuses on rolling out the business logic (binaries, scripts, code) to existing instances. Infrastructure deployment focuses on creating or modifying the environment (servers, networks, databases) that the application runs on.

2. Why is a Discovery Service critical in a large-scale microservices architecture?

Answer: In a dynamic environment, service instances are constantly being created, destroyed, or moved. A Discovery Service acts as a "phonebook," allowing services to look up the current IP/Location of their dependencies without hardcoding static addresses.

3. How do you handle database upgrades in a zero-downtime deployment?

Answer: Database upgrades usually involve two steps: Schema migration and Data migration. This is often handled using "Expand and Contract" (or Parallel Schema) patterns, where the database supports both the old and new schema simultaneously until all app instances are upgraded.

4. Explain the role of replicas in high-availability web applications.

Answer: Replicas ensure that if one instance of an application fails, others are available to handle the traffic. They also allow for horizontal scaling, letting the system handle more load by adding more replicas.

Β© 2026 Driptanil Datta. All rights reserved.

Software Developer & Engineer

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