Application Integration on Amazon Web Services* (AWS): Steps, Roles, Techs

App Integration on AWS Guide - ScienceSoft

Having 34 years in IT and 10 years of experience in AWS consulting and related services, ScienceSoft advises on and carries out AWS-based app integration.

Application Integration on AWS: The Essence

Application integration on AWS is enabled via point-to-point API communication or via message- or event-driven communication, leveraging respective AWS services.

The core AWS services used for integration include Amazon Simple Notification Service (SNS), Amazon Simple Queue Services (SQS), Amazon API Gateway, AWS EventBridge, etc.

A typical AWS-based integration process consists of analyzing the to-be-integrated applications, designing the integrated system, implementing and testing the integration. It can be carried out by a team of a project manager, a business analyst, an AWS solution architect, developer(s), QA engineer(s), and a DevOps engineer.

In software development since 1989, ScienceSoft helps build reliable, secure and convenient AWS-based integrations between custom and/or commercial systems.

Steps of Application Integration on AWS

The stages and timelines of an AWS-based application integration project can vary depending on the number of applications under integration and their complexity, the chosen integration approach and architecture, required changes in legacy software, and more. Below are described the typical steps we at ScienceSoft take to perform application integration on AWS.

1.

Analyzing the to-be-integrated applications

Duration: ~1-3 weeks
  • Describing key architecture characteristics (modular architecture, APIs, etc.) and constraints (rigid architecture, lack of up-to-date documentation, etc.) of software to be integrated.
  • Estimating the required investments and value that AWS-based application integration can bring considering your integration goals and scope, the specifics of the apps to be integrated and the existing IT environment.
  • Defining business metrics to measure AWS-based integration success (e.g., improved order processing or delivery time, reduced transaction errors, optimized spending on storage, compute and app maintenance).
ScienceSoft

ScienceSoft

2.

Designing the integrated system and points of integration

Duration: ~1-3 weeks
  • Identifying APIs and build a repository of the available APIs.
  • Mapping out business workflows driven by the to be integrated apps and identifying their integration points.
  • Designing the architecture of the integrated system:
    • Mapping data flows between the apps to be integrated.
    • (if required) Planning data transformations into a different format.
    • Planning security measures for data, its location, and its transmitting processes.
    • Defining the required performance of the future integrated solution.
    • Choosing the integration approach (API-based, event/message-based, etc.), choosing the AWS services to use, and deciding what parts of the integrated system they will replace.
  • (optional) Planning a pilot project to prove the effectiveness of the chosen AWS integration services.
  • (if required) Planning code adjustments in the applications under integration.

Note: App modernization may take from 2-3 weeks to 2-3 months.

ScienceSoft

ScienceSoft

3.

Implementing and testing the integration

Duration: depends on the chosen integration approach and the characteristics of the to-be integrated applications
  • Implementing the required code-level changes to the applications under integration.
  • Connecting applications:
    • Option 1: Point-to-point communication via APIs

      Amazon API Gateway, AWS AppSync, Amazon AppFlow (no-code API integration)

      • Designing APIs (if required).

      • Publishing APIs (making them visible and available for each other) and describing the necessary API details, including the operations the API contains and their parameters.
      • Preparing API documentation for external developers that may use your APIs.
      • Configuring the integration (setting up limits for the number of calls the integrated applications can receive from each other, tuning authentication mechanisms for application APIs, enabling API usage monitoring and analytics, etc.).
    • Option 2. Communication via queued messages or events in a non-blocking mode

      Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), Amazon MQ, Amazon EventBridge, Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis

      • Selecting or building adapters for applications to communicate with the mediator (one or several AWS services).

      • Defining rules for message/event routing, message modification, aggregation to make sure the messages are sent to the intended receiver in the right format and sequence.
    • Option 3. Integration via building new business workflows

      AWS Step Functions

      • Sequencing applications and AWS services into one integrated solution using a simple drag-and-drop interface.

  • Setting up the log messages/events to monitor the performance of the integrated solution (using Amazon CloudWatch, AWS X-Ray, or any other preferred observability solution).
  • Testing the integration, including:
    • All uni-, bidirectional, and asynchronous (orchestration) queries between the connected applications to ensure the completeness of distributed transactions and data consistency.
    • Failover and recovery mechanisms so that no issues can spread over and disrupt the work of the integrated apps.
    • The performance, scalability, and security of the integrated solution.
  • Tracking the value of the integration project based on the defined business goals for application integration.
ScienceSoft

ScienceSoft

AWS App Integration: Success Story by ScienceSoft

Application Integration to Drive Digital Transformation in the Healthcare Business

ScienceSoft automated paper-based document management, order and warehouse management workflows with custom software solutions. The delivered solutions have largely catalyzed customer experience optimization.

ScienceSoft’s Offering in AWS-based Application Integration

AWS-based application integration consulting

  • Business and technical requirements for the integrated system.
  • The Integration architecture design.
  • Planning required modifications of the integrated applications.
  • Helping comply with the regulations, including HIPAA, HITECH, SOC2, SOC3, and more.
  • A detailed AWS-based app integration project roadmap.
Plan application integration

AWS-based application integration implementation

  • Requirements analysis.
  • Application and infrastructure analysis.
  • The integration  architecture design.
  • Modernization (re-engineering, re-architecting) of applications  (if required).
  • Integration solution development, implementation and testing.
  • After-launch support, user and admin training.
  • Continuous management and evolution of the AWS-based integrated system (on demand).
Connect my apps on AWS

ScienceSoft as a Reliable Partner in AWS-based App Integration

We wanted our product to integrate with various ticketing software to collect support tickets, analyze them with AI, and organize the elicited data into charts and visuals.

ScienceSoft’s team undertook the development of our product from scratch and showed deep expertise in the .Net environment and AWS and Azure services.

Bob Penland, Managing Partner, ServicePulse

Why ScienceSoft?

  • In IT since 1989.
  • An AWS Select-tier Consulting Partner. Additional AWS discounts and priority access to AWS technologies and services.
  • An Amazon RDS Delivery Partner, we follow Amazon best practices to deliver fast and secure cloud-native databases and DWHs on Amazon RDS.
  • 2 days – 2 weeks to start a new project.
  • Integration and database architects with 7-20 years of experience.
  • Over 11 years of experience in cloud development and migration.
  • 10 years in applying DevOps practices.
  • 20 years in cybersecurity. All-level security configuration and monitoring (infrastructure, application logic, security testing, compliance).
  • Expertise in 30+ industries.
  • ISO 9001 certified quality management, ISO 27001 certified information security management, ISO 13486 certified quality management for medical devices and Software as a Medical Device, and more.
  • Compliance with HIPAA, GAMP, PCI DSS, and more.
  • For the second straight year, ScienceSoft USA Corporation is listed among The Americas’ Fastest-Growing Companies by the Financial Times.

Skills and Roles Required for the AWS Application Integration Project

Project Manager

  • Plans the AWS-based app integration project, assigns integration project responsibilities and tasks to the team, and controls the tasks’ execution.
  • Makes sure the integration project is implemented on time and budget and in compliance with the set quality metrics.
  • Reports on the AWS-based integration project progress to the key stakeholders.

Business Analyst

  • Elicits, prioritizes, and documents the requirements for the AWS-based integrated system.

AWS Solution Architect

  • Designs the integration architecture to meet the business and technology requirements.
  • (if required) Develops the architecture transformation and modernization roadmap for the to be integrated apps.
  • Designs frameworks and processes to support API development and management.
  • Defines AWS services to employ.

Developer

  • Configures integrations (e.g., in case of Amazon AppFlow, AWS Step Functions), builds custom integration code and APIs.

DevOps Engineer

  • Plans, configures, and optimizes the AWS-based integration solution infrastructure.
  • Automates development and release processes by introducing a CI/CD pipeline.
  • Monitors the integrated system security, performance, and availability, etc.

QA Engineer

  • Designs and implements a test strategy, a test plan, and test cases for the AWS-based integration solution and the integrated system to assure that the functional, performance, security, and compliance requirements are met.
  • Conducts manual and automated testing.
  • Tracks test results and reports bugs.

Sourcing Options for AWS-based Application Integration Projects

The entire AWS-based integration project is in-house

Pros:

  • Full control over the AWS integration project progress.
  • Easy team communication.

Cons:

  • Need to hire specific resources with experience in AWS services, modern integration patterns, legacy app modernization.
  • All hiring and managerial efforts are on your side.

The AWS-based integration project is outsourced

Pros:

  • A vendor assumes full responsibility for the team assembly and management and the quality of the AWS integration project delivery.
  • Established frameworks for AWS-based app integration.
  • If your vendor is an official AWS Network Partner, you get access to additional AWS discounts and priority access to AWS technologies and services.

Cons:

  • High vendor risks.

A mix of in-house team and outsourced consultancy for AWS-based integration

Pros:

  • In-house team has a deep understanding of internal business processes and the software environment.
  • Outsourced consultancy provides expert guidance for the most challenging integration activities, shares specific AWS knowledge, trains your team to maintain the integrated solution efficiently.
  • In case an outsourced consultancy is an official AWS partner, they can bring additional AWS discounts.

Cons:

  • Risks of consultancy vendor selection.
  • Requires time and experience to establish smooth collaboration and communication between the in-house and consultancy teams.
  • Partial or total project team coordination, quality control and risk management are required from your side.

Benefits of Application Integration with ScienceSoft

Data quality

ScienceSoft introduces data governance rules, error message management, message completeness verification, roll-back of distributed transactions to ensure consistent and comprehensive data across the integrated system.

Advanced integration security

ScienceSoft uses sophisticated access control rules, industry-proven protocols for authentication and authorization, “safer” outbound connections, and more.

System performance management

ScienceSoft pays special attention to planning system capacity and middleware, designs scalable architecture, introduces priority queues, effectively uses timeouts and sync calls, logging and caching, conducts load and performance testing, network latency problem assessment.

Optimal integration journey

ScienceSoft starts with a feasibility study of its technical, economic and operational aspects of your integration initiative. Our consultants with 7-20 years of experience in the field investigate whether the project is worth your time and money and which integration scenario will bring max benefit.

Costs of Application Integration on AWS

Basic integration cost factors

  • The chosen integration approach (point-to-point, mediated integration, workflow-based integration).
  • The number of integrated apps.
  • The complexity of the new integrated workflow (whether it can be created codeless, with minimal code adjustments, or by writing custom code).
  • The availability of ready APIs and connectors.
  • Efforts for testing the co-coordination and data consistency between the integrated systems.

Costs of AWS services

The cost of some AWS services will depend on:

  • Number of operations for a certain period (messages, events, delivery attempts, management calls, etc.).
  • Message size.
  • Using specific features (message transactions, de-duplications, etc.)

Best practice: Being an official AWS Partner Network (APN) member, ScienceSoft helps customers reduce app migration costs by offering additional discounts on Amazon’s behalf.

Business costs

  • Downtimes/interruptions caused by integration ramp-up.
  • Business user training.

Want to Estimate Your AWS-Based App Integration?

As an AWS Select Tier Services Partner, ScienceSoft is ready to provide a custom quote for your AWS-based app integration project.

AWS Services* for Application Integration

AWS Simple Notification Service (SNS)

Best for

High-throughput, push-based, many-to-many messaging between serverless functions, queues, and distributed systems.

Description

  • Strategies for reliable message delivery, e.g., dead-letter queues (messages that can't be delivered due to client/server errors will be saved for reprocessing or further analysis).
  • Automated scalability up to millions of messages per second.
  • FIFO (First-In-First-Out) topics enable message processing in a strict order and with no duplications.
  • Message filtering and fanout.

Pricing

Standard topics:

  • First 1 mln Amazon SNS requests per month are free, $0.50 per 1 mln requests thereafter.

FIFO topics:

  • Publish and publish batch API requests are $0.3 per 1 mln requests and  $0.017 per 1 GB of payload data.
  • Subscription messages are $0.01 per 1 mln messages and $0.001 per 1 GB of payload data.
  • Topic owner and subscription owner API requests are charged as Standard API requests.

AWS Simple Queue Service (SQS)

Best for

Sending, storing and receiving messages between software components at any volume, without requiring other services to be available.

Description

  • Standard message queues for maximum throughput, best-effort ordering, and at-least-once delivery.
  • FIFO (First-In-First-Out) message queues to guarantee that messages are processed exactly once, in the exact order that they are sent.
  • Automated scaling via increase in the number of listeners/consumers, the number of threads per client or combined, via action batching.
  • Server-side encryption (SSE) can be used to encrypt each message body for sensitive data exchange.

Pricing

1 mln Amazon SQS requests for free each month.

Standard queues:

~ $0.40 per 1 mln requests if the number of requests doesn’t exceed 100 bln/month.

FIFO queues:

~$ 0.50 per 1 mln requests.

AWS API Gateway

Best for

Building and operating APIs.

Description

  • Dashboards to visually monitor calls to the services.
  • Integration with Amazon CloudWatch to track metrics such as API calls, latency, and error rates.
  • Throttling and cashing.
  • Fine-grained API access permissions.
  • API keys to control access for third-party developers.
  • Custom plans that set throttling and request quota limits for each API key.
  • Multiple release stages for each API version (alpha, beta, production). Each API stage can be configured to interact with different back-end endpoints.
  • Running multiple API versions simultaneously allows applications to call previous API versions even after the latest versions are published.

Pricing

1 mln HTTP API calls, 1 mln REST API calls, 1 mln messages, and 750,000 connection minutes per month for free for up to 12 months. If you exceed this number of calls per month, you will be charged according to API Gateway usage rates.

About ScienceSoft

A global IT services company headquartered in McKinney, Texas, ScienceSoft provides end-to-end application integration services.

  • 10 years of experience with AWS-based infrastructures.
  • The status of Amazon Web Services Select-Tier Services Partner.
  • AWS Certified Solution Architects, AWS Certified SysOps Administrators, etc., on board.

As the holder of ISO 9001 and ISO 27001 certifications, we rely on mature quality management and guarantee that the cooperation with us doesn’t pose any risks to our customers’ data security.

*AWS, Amazon Web Services and other AWS Marks are trademarks of Amazon.com, Inc. or its affiliates in the United States and/or other countries.