gajendra.pro

Scalable Architectures

Part-1 What it takes to build Active-Active Series

Part-2 Low level details of general App

Here’s a more detailed explanation of each layer and the requirements to consider for making the Active-Active setup flawless:

Session Management

Session management is critical in an Active-Active setup to ensure that user sessions are preserved across multiple instances.

Requirements:

1. Centralized Session Store: Use a centralized session store like Redis, Memcached, or a dedicated session management solution to store session data.
2. Session Clustering: Ensure that the session store is clustered to provide high availability and scalability.
3. Session Replication: Configure session replication to ensure that session data is duplicated across multiple instances.
4. Session Expiration: Implement session expiration to remove inactive sessions and prevent session data from growing indefinitely.
5. Session Security: Ensure that session data is encrypted and secure to prevent unauthorized access.

Considerations:

1. Session Store Performance: Monitor the performance of the session store and ensure it can handle the expected load.
2. Session Data Size: Limit the size of session data to prevent excessive memory usage and performance issues.
3. Session Timeout: Configure session timeouts to balance user experience with security and resource utilization.

Session Replication

Session replication ensures that session data is duplicated across multiple instances, providing high availability and scalability.

Requirements:

1. Session Replication Protocol: Choose a session replication protocol like Terracotta, JGroups, or Hazelcast to replicate session data.
2. Session Replication Topology: Design a session replication topology that ensures data consistency and availability.
3. Session Replication Synchronization: Configure session replication synchronization to ensure that data is consistent across all instances.

Considerations:

1. Replication Latency: Monitor replication latency to ensure that session data is consistent across all instances in a timely manner.
2. Replication Conflict Resolution: Implement conflict resolution mechanisms to handle cases where session data is updated concurrently.
3. Replication Network Bandwidth: Ensure that the replication network has sufficient bandwidth to handle the expected volume of session data.

MongoDB

MongoDB is a distributed database that provides high availability and scalability.

Requirements:

1. MongoDB Replica Set: Configure a MongoDB replica set to provide high availability and scalability.
2. MongoDB Shard Key: Choose a shard key that balances data distribution and query performance.
3. MongoDB Indexing: Implement indexing to improve query performance and reduce latency.

Considerations:

1. MongoDB Data Distribution: Monitor data distribution across shards to ensure that data is balanced and query performance is optimal.
2. MongoDB Query Performance: Optimize query performance by using efficient query patterns and indexing strategies.
3. MongoDB Node Configuration: Configure MongoDB nodes to ensure that they have sufficient resources (CPU, memory, and storage) to handle the expected load.

Kafka

Kafka is a distributed messaging system that provides high availability and scalability.

Requirements:

1. Kafka Cluster: Configure a Kafka cluster with multiple brokers to provide high availability and scalability.
2. Kafka Topic Partitioning: Choose a topic partitioning strategy that balances data distribution and consumer performance.
3. Kafka Producer Configuration: Configure Kafka producers to ensure that they can handle the expected volume of messages.

Considerations:

1. Kafka Broker Configuration: Configure Kafka brokers to ensure that they have sufficient resources (CPU, memory, and storage) to handle the expected load.
2. Kafka Topic Configuration: Configure Kafka topics to ensure that they have sufficient partitions and replication factors to provide high availability and scalability.
3. Kafka Consumer Configuration: Configure Kafka consumers to ensure that they can handle the expected volume of messages and provide optimal performance.

By considering these requirements and considerations, you can design and implement a flawless Active-Active setup for your application.