FiftyFive Technologies streamlined the client’s CI/CD and cloud infrastructure by standardizing DevOps practices, refactoring fragile code, and adding governance and automation. They also migrated a legacy product from Azure to AWS, enabling more stable and scalable deployments.
Let’s Build TogetherThe client operates as a leading European eMobility service provider and EV charging solutions platform. It connects EV drivers, charge point operators, and automotive partners through a unified digital network, simplifying access, roaming, and payment across public EV charging infrastructure.
The client’s deployment ecosystem was fragile and inconsistent, and a legacy product needed to be migrated off Azure despite limited internal knowledge of its architecture. FiftyFive had to stabilize the pipeline foundation and de-risk the migration at the same time.
FiftyFive was engaged to analyze the client’s CI/CD pipelines and outage history, then standardize, refactor, and govern the foundation for stable, low-maintenance deployments. FiftyFive standardized and parameterized configurations, unified tooling versions, modularized infrastructure code, and introduced governance and automation. In parallel, FiftyFive de-risked the Azure-to-AWS migration by first understanding the product in its original environment, validating it end-to-end, and only then translating and onboarding it onto the client’s platform — with documentation to keep it maintainable long term.
FiftyFive began by examining the existing CI/CD pipelines, infrastructure code, and outage history to locate the real sources of instability before changing anything.
FiftyFive removed hardcoded values and inconsistency from the deployment flow to make releases predictable and reproducible.
FiftyFive restructured the infrastructure code so it could be reused safely across environments.
FiftyFive closed the compliance gap by making third-party usage visible and controlled.
FiftyFive migrated the legacy product methodically, prioritizing understanding and verification over speed.
Stabilizing the deployment foundation was essential before attempting the cloud migration. By standardizing CI/CD workflows, modularizing infrastructure, and validating the legacy product end to end in Azure before moving it to AWS, the team reduced migration risk and created a deployment model that is easier to govern and maintain.
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FiftyFive delivered a standardized, resilient cloud and DevOps foundation and a de-risked Azure-to-AWS migration. Fragile deployments were eliminated, release stability improved, and compliance visibility increased across repositories.
FiftyFive replaced fragile, hardcoded deployments with standardized, parameterized workflows — eliminating the failures that minor configuration changes used to cause and reducing outage frequency.
Infrastructure became modular, version-controlled, and parameterized, enabling predictable and low-maintenance deployments across environments.
License governance and tracking across GitHub repositories improved compliance visibility and gave the client clearer oversight of third-party usage.
CI/CD enhancements strengthened automation and rollback reliability, along with a successfully migrated and onboarded product running on the client’s primary platform.
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An EV charging platform is a digital system that connects drivers, charging stations, network operators, payment providers, and mobility partners. It helps users find chargers, start and stop charging sessions, make payments, access multiple charging networks, and manage charging activity through mobile apps, web portals, and cloud-based services.
EV charging software connects charging stations with mobile apps, payment systems, cloud infrastructure, and operator platforms. It exchanges data about charger availability, pricing, authentication, charging sessions, and payments. This allows EV drivers to access charging services while helping operators monitor networks, manage users, and support reliable day-to-day operations.
An EV charging app should include charger search, real-time availability, route support, session activation, secure payments, pricing information, charging history, notifications, and customer support. More advanced apps may also provide roaming access, loyalty features, vehicle integration, subscriptions, multi-language support, and white-label functionality for automotive or mobility companies.
EV charging companies connect with different networks through APIs and roaming standards that allow charging data to move between service providers and charge point operators. These integrations make it possible for drivers to use multiple charging networks through one app while supporting shared information about locations, availability, pricing, sessions, and billing.
EV charging software can support multiple countries through scalable cloud infrastructure, regional payment options, multiple currencies, local languages, network integrations, and configurable business rules. A well-designed platform also supports different regulations, charging partners, customer journeys, and operational workflows without requiring a completely separate system for each market.
EV charging platforms may experience downtime because of inconsistent deployment processes, hardcoded configuration, tightly connected systems, missing validation, outdated infrastructure, or poorly managed cloud environments. These issues can make small software changes risky. Standardized DevOps practices, automated testing, rollback processes, and modular infrastructure help reduce release failures and service disruption.
Businesses can improve cloud software reliability by standardizing deployment workflows, automating testing, removing hardcoded settings, using infrastructure as code, monitoring system health, and creating dependable rollback processes. These practices make releases more predictable, reduce manual errors, and help teams recover faster when applications, integrations, or cloud services fail.
Cloud infrastructure modernization is the process of improving outdated, fragile, or difficult-to-manage cloud systems. It may include restructuring infrastructure code, automating deployments, standardizing environments, improving security, introducing monitoring, and replacing manual processes. The goal is to make applications more stable, scalable, secure, and easier to maintain.
Companies may migrate from Azure to AWS because of cost, architecture, scalability, available services, platform strategy, or existing technology partnerships. A successful migration requires understanding the current application, mapping dependencies, redesigning cloud services where necessary, testing thoroughly, and moving the application without disrupting users or business operations.
A cloud migration can take several weeks to several months, depending on the application’s size, complexity, documentation, data, integrations, security requirements, and testing needs. Legacy systems usually take longer because teams must first understand hidden dependencies, validate existing functionality, redesign infrastructure, and create a safe migration and rollback plan.
Cloud infrastructure modernization costs vary based on the number of applications, repositories, environments, integrations, security requirements, and migration complexity. The cost may include assessment, DevOps improvements, CI/CD automation, infrastructure-as-code development, testing, documentation, monitoring, cloud migration, and ongoing support. A technical audit is usually required for an accurate estimate.
Choose a cloud and DevOps development company with experience in cloud migration, CI/CD automation, infrastructure as code, security, monitoring, platform reliability, and documentation. The right partner should assess existing risks, explain the migration plan clearly, support testing and rollback, and provide long-term operational support after the modernization work is completed.
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