Monday, April 15, 2024
Barcode Printing Solution
Saturday, November 4, 2023
Multi Level search in Microservice environment
In a microservices architecture, data is typically distributed among different services, each with its own database. Implementing a multi-level search across these microservices can be challenging. The goal is to efficiently search and aggregate data from different microservices while ensuring optimal performance, scalability, and cost-effectiveness.
- Solutions
Selective Replication pattern:
In this approach, we replicate the data needed from other microservices into the database of our microservice.
- Selective Replication: Only replicate the data that is frequently accessed together. For example, if we often need to know the status of tasks associated with an instrument but not other details, only replicate the task status.
- Event-Driven Updates: data will be kept in sync using an event-driven approach. For example, when a task is created or updated, it could publish an event that the Instrument service listens to and then updates its own records accordingly.
Tasks Table: In the Instrument module, We could have a table that stores task details associated with an instrument. This could include the task ID, status, type, etc.
- Optimized Performance: By replicating frequently used data, we reduce latency and improve user experience.
- Reduced Network Calls: This approach minimizes the number of cross-service calls for common operations.
- Flexibility: We have the flexibility to fetch detailed data when necessary.
- Cross Service Calls The idea is to replicate only the most frequently accessed and critical attributes to optimize performance and reduce cross-service calls. However, for attributes that are less frequently used or for details that require a more comprehensive view, we might still need to make calls across microservices.
- The client requests details about an instrument, including its associated tasks.
- The request is received by the API Gateway or a Composite Microservice, which acts as an orchestrator.
- The API Gateway first calls the Instrument Management microservice to fetch details about the requested instrument.
- After obtaining the instrument details, the API Gateway calls the Task microservice to fetch tasks associated with the instrument.
- The API Gateway aggregates the instrument details and the associated tasks into a unified response.
- The aggregated response is sent back to the client.
- Single API Call: The client can fetch data from multiple microservices with a single API call, simplifying client-side logic
- Flexibility: The API Gateway can tailor responses to the specific needs of different clients.
- Decoupling: Microservices remain independent and can evolve without affecting the client-side code.
- Memory: It might not be suitable for complex queries and large datasets that require in-memory joins.
- Complexity: The API Gateway may need to implement complex orchestration and error-handling logic.
- Dependency: If one microservice is down, it could potentially affect the entire operation.
- Error Propagation: Errors from one microservice need to be gracefully handled and communicated to the client.
- The microservices publishes events (SNS/SQS) when data changes.
- The Search Microservice subscribes to these events and updates its data in real-time or near-real-time.
- The Search Microservice processes and indexes the fetched data in a database
- A client (e.g., a web application) initiates a search request with specific criteria.
- The request may first go through an API Gateway, which routes the request to the appropriate microservice.
- The Search Microservice processes the search criteria and queries the indexed data.
- If necessary, the Search Microservice aggregates or transforms the data to match the desired response format.
- The Search Microservice sends the search results back to the client.
- The client displays the search results to the user.
- Microservices can publish events when data changes (Create, Update, Delete operations).
- The central database subscribes to these events and updates its records accordingly.
- When a multi-level search request is made, the system queries the central database, which contains aggregated data from all microservices.
- The central database can be optimized for search operations, facilitating complex and cross-cutting queries.
- Query: The central database can also be queried directly to fetch and search data.
- Pros
- Simplified Queries
- Performance
- Loose Coupling
- Cons
- Complexity
- Data Consistency:
- Storage Overhead
Thursday, September 7, 2023
Two-Tier Authentication in Microservices Architecture
Microservices are decoupled, self-contained units, which
makes security pivotal. Two-tier authentication can offer an extra layer of protection.
By integrating both AWS Cognito (for cloud-based authentication) and FAMS (an
on-premises solution), we can create a robust authentication mechanism for such
architectures.
It's a clear separation of concerns, with FAMS focusing on
user identity and Cognito securing your API. This is a valid and robust
approach, particularly if you want to leverage Cognito's capabilities for
managing API access without intertwining it with FAMS.
Two-Tier Authentication in Microservices
Microservices often communicate through APIs. The two tiers
in this setup are:
On-Premises Authentication (e.g., FAMS): Before
accessing cloud-based microservices, authentication through on-prem systems
like FAMS ensures that the initial user or service is validated.
Cloud-Based Authentication (e.g., AWS Cognito): After
the initial validation, Cognito facilitates the subsequent authentication
steps, providing tokens that are required to access microservices' endpoints.
Benefits of Using AWS Cognito with FAMS
·
Seamless Integration: AWS Cognito integrates
well with AWS services and can work in tandem with FAMS for initial
authentication.
·
Token-based security: After initial
authentication with FAMS, Cognito handles token-based authentication for cloud
resources.
·
Flexibility: Offers the ability to switch
between different authentication providers.
Sequence Flow in a Microservices Environment
Conclusion
Two-tier authentication using both FAMS and AWS Cognito
offers a comprehensive authentication strategy for microservices, bridging
on-premises systems and cloud architectures. It ensures that microservices are
only accessed by authenticated clients and services, upholding the principles
of security and integrity.
Claim Based Authorization
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