Our client is a leader in the low/no-code platform space, providing small and medium businesses with robust mobile application solutions but lacking effective CI/CD processes.
Despite their innovative approach, they encountered significant challenges in adapting to the dynamic demands of mobile app users.
Their existing CI/CD processes, largely manual and dependent on outdated tools, needed to keep pace with the industry’s rapid evolution.
The main hurdle was the time-consuming and labor-intensive process of manually integrating and deploying cross-platform mobile applications.
This not only slowed down the release cycle but also hindered the ability to quickly adapt to changing market needs.
The use of a legacy tools stack, which lacked mobile-specific CI/CD capabilities, compounded these challenges, affecting both productivity and product quality.
To address these challenges, we implemented an innovative solution involving the integration of Atlassian Bitbucket with CircleCI, leveraging Fastlane’s capabilities.
This approach automated the entire CI/CD process, from code commits to deploying apps on AppStore and Google Play.
The new workflow was designed to be efficient, reducing manual effort, and ensuring faster and more reliable build and release cycles.
The introduction of this automated CI/CD process led to remarkable improvements.
The client experienced a significant reduction in the time-to-market for their applications, which in turn improved their competitive edge in the market.
Additionally, the automation enhanced the overall quality of the mobile applications, leading to better user experiences and increased customer satisfaction.
The client experienced the need to automate the deployment process of microservices and simplify the release process. One of the requirements was to migrate Docker containers to AWS ECS and move existing infrastructure to Terraform.
The client had a manual multi-environment infrastructure deployment аnd no continuous integration & continuous deployment automation. That significantly impacted the speed of product development, release, and delivery cadence of new application versions in general. Besides, it required a considerable part of the development team capacity to process it manually.
The client faced the need to automate multi-environment continuous integration and deployment process of microservices, move the front-end part to CDN as well as deploy multi-environment infrastructure as a code.
The client had high costs for development, deployment, and, most importantly, operation of the data platform including Data Lake, Ingestion, and ML Pipelines. The pipelines were mostly running in EC2 instances, which led to the increased cost of operations and required a significant amount of time to deploy and test the pipelines in lower environments.
The client came with a request to automate and unify the deployment process of serverless applications on AWS Lambda. Having manual deployments before, the customer was facing inconveniences and difficulties, including non-uniform environment setup (versions of Serverless, Python, Node, and so on were inconsistent) and inability to control the environment changes in one place.
The client needed to strengthen collaboration within the data scientists team by moving research capabilities into cloud workloads. Besides, they wanted to automate and unify the deployment process of AWS resources. That, in turn, would decrease the time and effort required for a team of data scientists to build and test their models.
Our primary goal is value delivery for the client by resolving technical challenges and assisting them to achieve their objectives. AWS cloud solutions are great toolset which we use to make it happens, primary by outstanding agility, where companies could scale up cloud resources as needed and significantly decrease time from idea to market as well as seamless adopt rapidly growing tech capabilities to transform their businesses to be competitive in the market.
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