Scale, Adapt and Innovate with Microservices

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To stay competitive, enterprises need to scale and adapt with ease. Microservices foster the organization of small, productive teams that can easily make changes to applications or data as business needs arise.


What is a Microservice?

A microservice is a small, autonomous, self-contained software component that is loosely coupled and built around a business domain. The component is exposed with standard protocols for easy consumption and follows the Service Orientation principles for publishing and discovery.

Microservice principles:

  • Model around business domain
  • Culture of automation
  • Hide implementation details
  • Decentralize individual functionalities
  • Deploy independently
  • Isolate failure
  • Highly monitorable

What is a Microservice Architecture?

A microservice architecture is an architectural approach to designing large applications as modular microservices. That means that the business functionality is decomposed into a set of individual, self-contained services that communicate with each other via an API. This type of architecture deviates from central and coordinated deployment in that each microservice is deployed in its own runtime such as a Virtual Machine on a Cloud or a Container within a Virtual Machine. As a result, companies are able to scale individual services independent of other components given that these containers can be configured to automatically replicate and increase the computing capacity. By splitting an application into smaller services and decoupling interdependencies, companies discover greater agility and flexibility. This architectural style also works well with automating the build-deploy-release cycles for continuous deployment and DevOps model.

Microservice architecture characteristics:

  • Product not Projects (DevOps Compliant)
  • Smart endpoints and dumb pipes
  • Decentralized data management
  • Decentralized governance
  • Infrastructure automation
  • Design for failure
  • Evolutionary design

APIs, Microservices and ESBs

The differences and overlaps…

API Exposure
Policy Definition - Security, Throttling, etc
Policy Enforcement - Security, Throttling, etc
API Sandbox Management
Developer On-boarding Workflows
API Discoverability
API Monetization
API Usage Analytics
API Documentation
Code-centric Components
Exclusive Runtime
Dev-Ops Friendly
Ability to Scale Independently
Failure Isolation
Heterogenous inner architecture
Service level transactions
Implement business functionality,
store business data
Advanced Mediation Flows with Visual Modelling
Specific Adapters - SAP, EDI, Database, etc
Wide Range of Protocol Support - JMS, File, Batch, etc
Error Retry Mechanism
Service Composition
Centralized Deployment
Modern Manifestation as iPaaS
Distributed transactions, orchestrated processes

REST Interface
Mostly HTTP(S)
Basic Routing
Event-driven patterns

The Common
Made with

  • Implementing Technology for Technology’s sake
  • Becoming too tool-centric
  • Spending too much money on the creation of exclusive infrastructure for each service
  • Re-inventing the wheel for cross-cutting capabilities
How can we help you build your Microservices

Our offerings –

Microservice Governance Setup and Consulting Services
  • Establish a microservice practice for your enterprise
  • Tailor microservice architectural principles and best practices
  • Conduct a microservices maturity assessment
  • Establish a DevOps process tailored for microservices
  • Create a microservice development lifecycle in alignment with your SDLC
  • Establish a microservice discovery process and recommend tooling to support it
  • Compare microservice tools and frameworks and offer recommendations in your organization’s context
  • Assist in creating a business case for microservices
  • Deliver microservice awareness workshops
  • Define and tailor a decision matrix including when to use and when not to use microservices, service meshes, microgateways, etc.
  • Offer microservice policy management – Processes and Tools
API Implementation Factory with Microservices Model
  • Flexible service point estimation and charging model for bulk development of microservices in a factory model
  • Establishing a microservice factory model for continuous development of microservices at scale
  • Defining a mutually beneficial T-shirt sizing and complexity estimation model for microservices, based on the chosen technology stack
  • Bundled tools and solution accelerators such as AutoSub and AutomatonTM to speed up the development lifecycle steps of the microservices factory
Channel-Specific Microservices Development using Backend-For-Frontend (BFF) Pattern
  • Establish a microservices architectural layer for channel-specific interactions based on the backend for frontend pattern
  • Define a decision matrix to categorize channel-specific and channel-agnostic microservices
  • Create state-management and session management helper utilities to support channel specific constraints such as different service payload details and sizes for mobile apps compared to web channels.
  • Develop GraphQL-based microservices to support advanced, channel-specific requirements like caching, retries, data load granularity, etc.
Extend Third-party Full Stack Products with Microservices
  • Assess service enablement and modularization requirements of full stack products in collaboration with customers and product vendors
  • Create user flows and map customer journeys to required capabilities
  • Develop extension points as microservices
  • Establish a full stack-centric decision matrix to identify microservice candidates for extension point versus feature request in core product
Microservice Architecture definition with Containers, Service Mesh and MicroGateways
  • Conduct hands-on workshops to assist you in making a smooth transition to the microservices world
  • Assist in planning and executing an IT transformation program to a microservices-based architecture
  • Microservices products and frameworks evaluation and selection to compare and recommend the appropriate service meshes, microgateways, orchestration products, monitoring and management tools
  • Establish the technology landscape for microservices in alignment with your existing IT landscape, IT Governance and enterprise architecture framework
  • Identify the need and fitment for microservices frameworks, service meshes, microgateways, container framework, container orchestration products, microservice monitoring and management tools
  • Tailor the architectural principles to help use the right framework for your enterprise needs
  • Tailor the patterns and anti-patterns specific to your organization
Custom Application Development on Microservice Architecture
  • Design and develop the technical solution architecture based on the microservices architectural model
  • Design and develop the microservices, required to fulfill the functional and non-functional requirements for specific projects and/or a set of applications
  • Develop a roadmap to enhance the microservices based architecture for a single application to an organization-wide integration framework
Legacy De-Composition using Microservices
  • Conduct a granularity assessment of legacy capabilities and identify microservice candidates
  • Decompose parts of monolithic legacy applications into microservices
  • Design, develop, test and support the microservices
  • Integrate the decomposed microservices into a modular and composite application
  • Map the components and identify candidates for API exposure to cater to digital channels, API monetization and digital ecosystems
Establish a Microservice-centric Development Lifecycle using DevOps
  • Tailor your SDLC to follow DevOps-centric approach for microservice development
  • Select continuous integration and continuous development tools
  • Define and implement a CI/CD pipeline based on containerized microservices
  • Integrate monitoring and management with your DevOps process
  • Recommend advanced test automation into your DevOps including practices like chaos engineering
Integrate Decentralization using Containerized Microservices
  • Re-engineer your legacy integration tooling to enable containerization and decentralization
  • Analyze operational challenges in your legacy integration stack
  • Introduce chaos engineering to simulate failure points and resolve unpredictable operational situations
  • Modernize your integration infrastructure to solve pain areas related to lack of stability, performance, visibility, etc. through selective introduction of microservices-architectural elements
  • Avoid downtimes and failures leading to loss of revenue due to friction points in your integration landscape
  • Deploy advanced AI and machine learning-based tooling to predict and prevent failures

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