Combining a Boomi iPaaS initiative with AWS cloud computing framework and business model provides the accelerated evolutionary change business and IT leaders require today. Kitepipe has a singular focus on Boomi in the AWS cloud and this page will provide insights that you can apply and compare across all your available options and choices.
Map out your current integration landscape, including endpoints and data stores. Cross-reference your Boomi processes to business operations areas supported. Identify pain points in infrastructure, management of Boomi integrations, or business process support.
Understand the three levels of integration maturity. Define goals and objectives for Infrastructure, Management, and Business Operations; Consider core AWS services that supplement and enhance Boomi integrations. Can you provide a unique view in the form of dashboards for all integration workload stakeholders?
Design your AWS + Boomi framework using standard and modified templates to provide for a development, test and operations environment. Start with a solid foundation of AWS accounts and security management, and layer on AWS server and serverless functionality. Use templates to install your Boomi runtimes.
They can supplement your IT and operations resources, adding a knowledge base of successful deployments. Experience is key to a quick start and smooth journey, as there are many choices and options with the AWS toolset.
AWS and Boomi have a vision to transform and realize all the benefits of the AWS managed services with the Boomi iPaaS integration cloud platform. Common themes are point integrations or more advanced data mastering or multi-endpoint integrations that support employee onboarding, supply chain management and close to cash or expense management workflows. Complete GxP solutions for Biotech may also be engineered in the AWS + Boomi environment.
Whether you have a cloud instance in Amazon or are contemplating options to get to the cloud in a big way, AWS + Boomi best practices and tips can help validate or formulate your strategy.
The intended audience of this paper is IT professionals with background in AWS managed services, Boomi architects and developers, and operational and support resources that assist business units with workflow process integrations. Familiarity with the Boomi platform and an interest in using that strategy for cloud integration is a theme of this paper.
Many details of this paper will specifically focus on AWS + Boomi architecture for current Boomi licensees and AWS cloud users. That segment of readers can benefit from this discussion to help configure and manage Boomi in AWS, as well as understand the incremental and long-term benefits of the combined solution.
Best practices are gained from project experience and iteration on migrations and new cloud designs, always working in consensus with IT and business unit leaders. Think about the following concepts when reviewing the 5 best practices:
The AWS cloud includes many design patterns and architectural options that can be applied to a wide variety of use cases referred to as ‘workloads’.
By focusing on these core principals, a Boomi integration in AWS maybe evaluated against the Well Architected framework and specific questionnaire. This will reveal risk areas to be prioritized and rectified over time to achieve best practices in AWS cloud integration management.
Involve all stakeholders.
Evaluate threats and challenges.
Understand internal and external roles.
Define operational procedures in an automated codebased framework.
Make changes in small increments.
Key metric: % of processes that are automated.
Understand the AWS Shared Responsibility Model.
Apply existing operational processes and best practices to all areas of your responsibility.
Use IAM to determine accounts, users, roles and services applying granular policies.
Control access to human and machine identities with permissions: focus on who, what and under which conditions.
Manage detection and response governance with logs, events and implement routine team practice against simulated threats.
Key metric: Security compliance value against standards.
Focus on the basics: automatic recovery from failure with horizontal scaling configurations. .
Drive the workload architecture upfront with those basic reliability concepts.
Understand capacity, saturation and high demand loads.
Track changes and manage with automation.
Ensure that the inevitable failures are managed with automatic recovery techniques.
Key metric: Uptime and compliance to the SLA.
Allocate advanced tech implementations, like Boomi, to a qualified cloud integrator, allowing your team to focus on workload, operations and innovation.
Experiment, especially in the Proof of Concept stage, to get the full benefit of cloud integrations in AWS.
Achieve a unique view, monitoring all your workloads, combining standard Boomi logging with additional; advanced AWS services.
Ensure the tradeoffs for consistency, durability, latency, and space considerations are evaluated against performance goals.
Use the unique view metrics to measure and iterate on your tradeoff scenarios.
Key metric: time to market and visibility to quality metrics.
Understand the Cloud Formation Boomi template baseline computing costs.
Use cloud financial management tools to manage add-ons and make appropriate services selections
Monitor costs on a more frequent basis using the tools available in the AWS cloud.
Manage your demand requirements against the supply of resources using patterns and optimize over time.
Keep current on new services, price models and technical capabilities to take advantage of the opportunities across the AWS cloud.
Key metric: Return on investment versus legacy solutions.