.png){kind=logo}
Transforming logistics workflows for NLP Marine with centralized DevOps solutions
NLP Marine is a key player in logistics innovation, offering advanced tools for container tracking, customs compliance, and digital payments. To meet growing demands, they needed to overhaul their development processes and establish a more streamlined and scalable DevOps pipeline to support continuous delivery.
Tech used
Automation
Cloud
Microservices
India
Challenge
Without a centralised build pipeline, teams relied on individual Jobs in Jenkins setups. This resulted in inconsistencies in build artifacts, repetitive tasks, and delays in integrating and deploying updates.
Recreating CI/CD configurations across teams wasted valuable developer time, diverting focus from core tasks. This duplication of effort slowed down project timelines and introduced inconsistencies in workflows.
All application components were deployed within a single OpenShift namespace. This setup led to resource contention, complicated troubleshooting, and hindered scalability. Logs and metrics were intertwined, making it difficult to isolate issues or monitor performance effectively.
Solution
A unified pipeline has to be introduced to manage builds, testing, and deployments seamlessly across all environments. This pipeline provides consistent artifact management, reduced manual interventions, and improves collaboration among teams. Reusable templates and pre-configured workflows need to be implemented to reduce setup time for new projects and ensure uniformity across teams.
Build and deployment configurations were standardized across teams, eliminating the need to repeatedly set up CI/CD jobs. Automating routine processes not only minimizes human error but also gives developers more time to focus on delivering value through feature development.
The deployment strategy was revamped to use a multi-namespace architecture. Dedicated namespaces need to be created for each service, ensuring better isolation and resource allocation. Resource quotas and limits need to be applied to prevent overuse while ensuring efficient utilization. Logs and metrics need to be segregated by namespace, enabling faster issue resolution and precise monitoring of service performance.
Result
The centralized pipeline will create consistency in builds and deployments, resulting in faster integration cycles and reliable artifact delivery.
Developers experience significant productivity gains by focusing on development rather than repetitive CI/CD setup tasks.
Resource isolation in OpenShift improves system performance, reduces resource contention, and makes scaling services easier.
Troubleshooting can become faster and more effective due to segregated logs and metrics, reducing downtime and enhancing system reliability.
