Success Stories
At arieotech, we understand the importance of finding the right technology-fit for unique business needs. Sometimes that involves identifying hidden costs such as the use of sub-optimal technology and raising productivity by introducing the most beneficial technology. arieotech was able to bring about a natural fit between business and technology by deploying microservices architecture for an Oil and Gas company in its recent work.
The company we worked with had a roster of 32,000 business clients. It helped them manage several varied operations such as site-exploration, inventory-management and task-management across varied geographical locations. But its reliance on manual data processing and storage was slowing it down. Data collection and analysis took almost three days and further implementation of any data-based decisions based on the analysis took an additional four business days. Moreover, the legacy software was a monolithic application; it was not able to scale to serve many clients. The cost of infrastructure was significantly high: Separate servers with the sole purpose of handling meagre night-time footfall had to be run and maintained. Was there a way to automate processes while streamlining the software architecture for higher profitability?
arieotech found a way out of this conundrum by recognizing the natural fit of microservices to address these business concerns and enhanced its scalability and operational efficiency. To meet the business need for optimum resource utilization, we followed a strategy of incremental migration. We began by thoroughly assessing the existing system to document features and identify performance bottlenecks. We then designed the target microservices architecture using domain-driven design and a shared-nothing data strategy. To address any challenges that might arise later, we created a proof of concept and set up microservices infrastructure with containerization and orchestration tools. Starting with services that had the least dependency on other modules and the highest business value, we migrated services one by one. All this while, we maintained connections with the legacy system to ensure no interruptions in daily business. We managed data transition with synchronization and ensured performance and reliability through load balancing and monitoring. By providing training to the staff and the decommissioning of the monolith, the migration was well and fully complete.
The use of an API-based framework made these services interoperable, which integrated well with existing systems. The system’s modularity helped improve cost-efficiency as it made it possible to scale up only those services which experienced a surge in traffic. The elimination of superfluous hardware devices and related software to run night-time servers brought costs down by 30%. Additionally, they also brought about automation in data entry and processing, accelerating business decisions by 50%.
Within the Oil and Gas industry, microservices technology brings with it the potential to optimize work as it orients all its software by business functions. In our recent work with a client from the Oil and Gas industry, we were able to streamline software use by compartmentalizing it as per the demands of service domains within the business.
The client had a roster of 32,000 clients. To help them manage diverse functions such as site-exploration, inventory-management and task-management across geographical locations, the company wanted a unified platform. They wanted a platform that could accommodate fluctuations in traffic endemic to the nature of the industry. In Oil and Gas, customer footfall predominates during the daytime. Since footfall at petrol pumps is higher during the day, the platform had to be equipped to handle routine and regular day-time surges. In addition to this, they also wanted to use their resources optimally to account for the night-time slump.
Manual processes meant a lack of standardization in data formats and sources. Any management decisions that needed data took close to seven business days as just getting access to data involved a long wait-time. What slowed business down further was the legacy software which was a monolithic application. This was not able to scale to serve many clients. The cost of infrastructure needed to maintain this was high, too.
Recognizing the natural fit of microservices to solve these issues, arieotech successfully migrated the large legacy application to microservices. Our team of engineers successfully migrated a large legacy application to microservices, and enhanced scalability and operational efficiency. First, we undertook a thorough assessment of the existing system and documented its features while identifying performance bottlenecks. Next, we defined goals and strategies aligned with business objectives and designed the target microservices architecture using domain-driven design, adopting a shared-nothing data strategy where each service manages its own database independently. We then created a proof of concept with a small, non-critical part of the application and set up microservices infrastructure with containerization and orchestration tools. We chose to undertake incremental migration to reduce risk, for a smoother transition and so we could learn and adapt along the process.
We prioritized services with the least dependency on other modules and the highest business value. These services were then migrated one by one, from development to testing to deployment, alongside the monolith. To ensure no interruptions in daily business, connections between these new services and the legacy system were maintained, as traffic was gradually redirected from monolithic modules to microservices. arieotech managed data transition with synchronization and migration strategies, ensured performance and reliability through load balancing and monitoring, and educated and trained teams on microservices principles. We tested and optimized through automated testing and continuous monitoring. When we decommissioned the monolith and cleaned up the unused legacy code, this complex process of migration was complete.
Recognizing the natural fit of microservices to solve these issues, arieotech successfully migrated the large legacy application to microservices. Our team of engineers successfully migrated a large legacy application to microservices, and enhanced scalability and operational efficiency. First, we undertook a thorough assessment of the existing system and documented its features while identifying performance bottlenecks. Next, we defined goals and strategies aligned with business objectives and designed the target microservices architecture using domain-driven design, adopting a shared-nothing data strategy where each service manages its own database independently. We then created a proof of concept with a small, non-critical part of the application and set up microservices infrastructure with containerization and orchestration tools. We chose to undertake incremental migration to reduce risk, for a smoother transition and so we could learn and adapt along the process.
We prioritized services with the least dependency on other modules and the highest business value. These services were then migrated one by one, from development to testing to deployment, alongside the monolith. To ensure no interruptions in daily business, connections between these new services and the legacy system were maintained, as traffic was gradually redirected from monolithic modules to microservices. arieotech managed data transition with synchronization and migration strategies, ensured performance and reliability through load balancing and monitoring, and educated and trained teams on microservices principles. We tested and optimized through automated testing and continuous monitoring. When we decommissioned the monolith and cleaned up the unused legacy code, this complex process of migration was complete.