Organizations allocate IT budgets based on business needs, tech stack compatibility, software resources, and most importantly, cost-efficiency. Every organization connects their applications, data, platforms, and systems to maximize their ROI and efficiency to deliver enticing results. Unfortunately, spending $100,000+ on leading EAI platforms like MuleSoft for these simple integrations isn’t ideal or cost efficient.
MuleSoft is undoubtedly a leading Enterprise Application Integration (EAI) platform with a bundle of features to meet the complex integration needs of the business. For organizations handling simple & unique process patterns, just the combination of API gateways, triggers and Lambdas is sufficient to integrate the systems and functionalities.
They need not spend around $80,000- $250,000 per year for the MuleSoft license. Although, if your enterprise does have many complex scatter-gather, multi-step integrations with different systems, it’s worth spending on EAI platform licensing. With the growing trend of FaaS (Function-as-a-Service), AWS Lambda has grabbed the attention of small and medium businesses. It is inevitable that these organizations move from MuleSoft to AWS Lambda. Being a tech leader for more than a decade, our team assures you a smooth transition from MuleSoft to AWS. With our help, reach new horizons of serverless integration with a focus on saving costs.
MuleSoft to AWS Lambda migration roadmap
Discover & Assess
The transition from MuleSoft requires massive effort. To make efficient use of this effort, the first step in our process is to understand all parts of the existing business architecture and outline them.
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Our integration experts delve into your MuleSoft platform and analyze the existing architecture. We evaluate the flow elements, logging, payloads, error handlers, connectors, and other integration components that are leveraged in MuleSoft. Then, we orchestrate the integration points to identify the impact areas and business logic.
After investigating the existing infrastructure setup and organizational deployment model, we document all these details in an “as-is” architecture diagram to proceed with the AWS Lambda transition.
Here’s the Mule flow for the create customer use case
Propose future architecture
Considering the existing architecture, we recommend the best-fit future architecture to adopt AWS Lambda for your integration needs. Our future architecture includes Event bridge, SNS, SQS, schedulers, and AWS Lambda services.
Here’s the AWS Lambda flow for the create customer use case!
Defining the project deadlines
Our team conducts a thorough assessment of resource availability and reengineering requirements to determine the necessary steps to achieve the desired future state within realistic deadlines. Working closely with your executive team, we collaborate through consecutive brainstorming sessions to align business expectations and establish achievable timelines.
Based on the number of integration points and complexities involved, we finalize the project deadlines.
Design
Infrastructure
Our cloud engineers analyze the current organizational infrastructure and propose suitable environmental structures for AWS Lambda integration points. Through collaborative brainstorming sessions, we identify and finalize the optimal infrastructure design. Subsequently, we document the design for future reference.
In our standard practice, we adopt the infrastructure-as-code approach for setting up cloud environments. Leveraging technologies such as CloudFormation, Terraform, Puppet, Ansible, and similar stacks, we ensure efficient and automated deployment. We prioritize the creation of reusable templates to eliminate manual errors and expedite infrastructure deployment.
Deployment
By complying with the existing deployment process, we orchestrate the version control using a tailor-made branching strategy to establish the integration points. Our DevOps engineers streamline the deployment process with customized CI/CD pipelines. This will help us to accelerate the release cycle of AWS Lambda services in an efficient and hassle-free manner.
As a value add-on to these DevOps practices, we configure pre-deployment approval and mail triggers to privileged users to enhance the sustainability of integration points.
Integration Points
Our integration experts ideate the possible solutions to achieve the future state. We prioritize critical integration points and investigate the pre-requisites, crucial & redundant business logic, and business standards. Based on these factors, we design the architecture to achieve Mule integrations in AWS Lambda!
As a proof-of-concept, we take the primary Mule integration point and create an AWS Lambda service with event triggers and actions. Our team showcases the benefits and efficiency of the integration design with stakeholders and proceeds with successive phases!
Development
Setting up pre-requisites
We gear up the development phase with repository creation as per the branching strategy. Successively, we migrate the existing MuleSoft API gateways to AWS API gateways using Open API specification.
Next, we build reusable asset libraries for redundant business logic to validate the business standards in backend code. These asset libraries enhanced the optimization of code and the performance of integration points. We also leverage the RDS Proxy service to establish connections, among other essential functionalities.
Migrating Mule application to AWS Lambda
After all these stringent processes, we step into the real migration phase. Mule flows are shifted to AWS Lambda using Node JS or Typescript with appropriate triggers and schedules. Once the backend code is optimized, we proceed with unit testing of the services.
Upon achieving the appropriate test coverages in unit testing, we push these services for testing & deployment through CI/CD pipelines.
Testing & Deployment
By leveraging the CI/CD pipelines designed for multi-stage deployment processes and API tools, we test the end-to-end integration flows built on AWS Lambda. If there are any fallbacks in functionalities or performance, we remediate the issues and perform regression testing using the same CI/CD pipelines. We aim at delivering efficient Lambda services for your integration points!
Finally, we deploy these AWS Lambda services to the production environment and cutover the MuleSoft from your architecture
Your Mule integration points are now established as cost-efficient AWS Lambda service
Wrapping up!
Being a tech-agnostic industry leader, with years of hands-on expertise in MuleSoft & FaaS implementations, our team can make your transition smooth and hassle-free. Reach new horizons of serverless integration, scalability, and cost-efficiency by shifting to AWS Lambda.
Be it reengineering the existing MuleSoft integrations or building unique integration points for your organizational needs, our integration experts can cater to your needs. With the 14+ years of industry excellence, customer journey, and proprietary software delivery process called “Vetri”, we bring in the best-fit integration solutions for your needs!