Achieved Milestones
- 70% Automation Achieved for Customer Deployments
- DevOps Efficiency Improved by 70%
- 90% Reduction in Time-to-Market
- Improved Visibility in Distributing Software Across Customers
- Achieved Developer Self-Serve Model
About the Company
A leading global data management company ensures enterprises stay operational and resilient. Their platform empowers businesses with intelligent data management, enabling them to detect and resolve complex digital performance issues before they impact revenue.
With 19 years of global leadership, the company has pioneered innovative solutions to help businesses master the challenges of data management. Their success stems from a unique fusion of precision, ingenuity, and resilience, driving cutting-edge technology that empowers organizations worldwide.
Background
As a global leader in data management, the organization has consistently prioritized innovation and cutting-edge technologies to ensure seamless data management. To maintain high availability and reliability, the company leverages a robust tech stack, including AWS, Python, Golang, and Kubernetes.
However, as the company grew, scalability challenges emerged, particularly in onboarding new customers and deploying their product across customer environments. With a global customer base, these processes became increasingly time-consuming and began to hinder DevOps efficiency. The organization recognized the need for a distribution platform that could seamlessly integrate with its existing infrastructure and orchestrate deployments at scale, ensuring faster and more efficient customer onboarding.
Challenges Faced
While the company had a robust tech stack ensuring high availability, distributing solutions across multiple customers remained a significant challenge. Here are the major challenges associated with distribution:
- Manual Deployments: Teams were performing manual deployments for every customer, accessing the cluster, using the Kubernetes command-line utility (Kubectl) to make changes to manifests, updating images, and releasing new versions. This process was time-consuming, causing delays in time to market.
- Lack of Visibility: The manual process made it difficult to track changes across different customer environments. There was no centralized audit log, which made it challenging to monitor who made changes, when they were made, and what was modified.
- Configuration Management: Without centralized configuration management for customer environments, Kubernetes configurations and environment variables were manually handled, leading to inconsistencies, potential misconfigurations, and inefficiencies.
- Customer Onboarding Time: Due to manual processes, it previously took 4-5 hours to onboard a new customer and set up their environment. This significantly hindered DevOps efficiency, as teams had to perform various tasks manually.
- Prone to Human Errors: The lack of automation led to human errors in deployments and configurations, resulting in misconfigurations and deployment failures, which further delayed customer onboarding.
- Developer, DevOps Dependencies: The absence of an automated platform meant a heavy reliance on DevOps teams for log analysis, troubleshooting, and deploying new releases. This slowed down the development lifecycle and diverted DevOps teams from higher-value tasks.
Solution: Devtron’s Software Distribution Platform
To overcome these challenges, the organization partnered with Devtron. Devtron has a proven track record of solving similar challenges for enterprises worldwide, spanning industries such as data management, fintech, banking, and more.
As a Kubernetes-native platform, Devtron seamlessly integrated with the existing infrastructure, enabling faster adoption and streamlining the deployment processes while maintaining existing workflows.
Key Features Leveraged
Configuration Management: Devtron’s pre-defined deployment configurations allowed centralized management of Kubernetes configurations without needing to manually write Kubernetes manifests or Helm charts for microservices.
Parallel Workflows: Devtron's flexible pipeline configuration enabled the creation of parallel Continuous Deployment (CD) pipelines for each customer environment. This allowed the team to seamlessly release new features for every customer environment and keep all environments in sync.
Scoped Variable: Scoped Variables were used to manage unique configurations for different customer environments, maintaining consistency. With new customer environments, only the values for those environments needed to be set, simplifying the process.
DRY Pipelines: The "Don't Repeat Yourself" (DRY) pipelines feature accelerated the process of deploying new customer environments. The team reduced onboarding time from 4-5 hours per customer to 25-50 minutes by automating the pipeline setup.
Deployment Filters: Deployment filters ensured production stability by setting policies to prevent development images from being deployed across production environments, ensuring consistency across customer environments.
Notifications: Notifications were set up within Devtron’s Notification Center to alert teams of any deployment failures, ensuring prompt communication and resolution.
Continuous Deployment: Integration with existing build systems streamlined deployments to customer environments without the need to reinvent the wheel.
Audit Visibility: Devtron’s single-pane-of-glass visibility enhanced the ability to track deployments, configuration changes, and audit logs across customer environments, improving transparency.
Developer Enablement: Devtron's intuitive dashboard simplified Kubernetes complexities for developers, enabling them to deploy applications, test environments, and troubleshoot issues independently from DevOps teams.
Outcomes Achieved
By adopting Devtron’s Software Distribution Platform, the organization revolutionized the way it distributed its solution to customer environments. The partnership led to a 90% reduction in time to market. Automation, centralized configuration management, and streamlined deployment workflows resulted in:
- 70% improvement in DevOps efficiency
- 90% reduction in time to market
- 70% automation achieved for end-to-end customer environment deployment
~ CPTO
Conclusion
The collaboration with Devtron has transformed the way the company handles software distribution and deployment. By integrating Devtron’s Kubernetes-native platform, the organization automated and streamlined its customer onboarding and deployment workflows, eliminating manual inefficiencies and reducing time to market significantly.
Through automation, centralized configuration management, and scalable deployment pipelines, the company enhanced DevOps efficiency and empowered developers with self-service capabilities. This partnership improved visibility, governance, and production stability, setting a new standard for agile and resilient software delivery. The collaboration has enabled the company to deliver faster and more reliable solutions to its global customer base.
