Agentic AI
AI agent Observability with OpenTelemetry and Grafana Cloud
The rise of AI agents, whether powering customer support, automating workflows or driving decision-making has shifted the stakes for digital
October 9, 2025
Faster Delivery. Cost Control. Unified Visibility.
Fine grained visibility and management across all environments.
Encapsulate env. level details ensuring complete segregation.
Generate Isolated Environment as and when needed.
Reduce costs by automatically terminating unused environments.
Encapsulate env. level details ensuring complete segregation.
Fine grained visibility and management across all environments.
Generate Isolated Environment as and when needed.
Reduce costs by automatically terminating unused environments.
World’s top brands trust Buildpiper
Traditional development environments hinder release speed, introduce inconsistencies, and increase operational costs. BuildPiper’s Dynamic Environments address these challenges with fully automated, on-demand environments that seamlessly scale to meet your needs.
Ready to eliminate environmental bottlenecks and accelerate your release cycles. Explore how BuildPiper’s Dynamic Environments can empower your teams and streamline your development process.
EnvOps centralizes environment provisioning, governance, visibility, and cost optimization across Kubernetes, VMs, and databases. By encapsulating access control, configurations, integrations, and lifecycle automation, BuildPiper enables teams to deliver faster with full isolation, compliance, and operational efficiency across every environment.
Fully encapsulate environments with centralized control over infrastructure, access, configurations, and integrations. BuildPiper ensures every environment is deployment-ready, compliant, and consistently configured—eliminating drift and enabling reliable CI/CD execution across all stages of delivery.
Gain deep, environment-level observability with unified insights into deployed services, configurations, health status, and resource utilization. Teams can quickly diagnose issues, track deployment history, and understand service dependencies across environments with complete transparency.
Instantly spin up fully isolated, disposable environments across Kubernetes, VMs, and databases to support rapid testing, experimentation, and feature validation. These short-lived environments enable faster iteration cycles while maintaining accuracy, isolation, and operational efficiency.
Optimize infrastructure spend through automated start-stop controls, environment shutdown scheduling, and granular service-level controls. By eliminating unnecessary runtime and idle resource usage, BuildPiper helps teams reduce waste while maintaining delivery speed and productivity.
BuildPiper helped us stabilize and scale our infrastructure far beyond what we expected. Our deployment cycles became dramatically faster, our systems more resilient, and our engineering team could finally focus on product innovation rather than firefighting operations.
Nilay Sahu, Principal Engineer
About Client
Lets Transport is a fast-growing logistics platform powering high-volume last-mile deliveries across India. Managing thousands of daily shipments, they needed a faster, secure, and scalable infrastructure—making BuildPiper the ideal partner for their modernization and growth journey.
By adopting BuildPiper, Trademo achieved a remarkable 60% reduction in deployment time — empowering their teams to ship updates faster, respond swiftly to customer needs, and maintain a competitive product velocity.
Rupesh Dubey, Head of Engineering
About Client
Trademo helps customers make critical supply chain decisions with deep insights and compliance intelligence. But as the platform expanded, scaling operational efficiency became difficult. Frequent configuration errors during new feature additions impacted performance and overall deliverability.
With BuildPiper, Indepay accelerated their payments product rollout to just 2 weeks, automated their GKE setup end-to-end, empowered development teams with self-service environments, and achieved up to 85% reduction in deployment time across 40+ microservices.
Manish Goyal, Senior Product Engineer
About Client
Indepay is a fast-growing digital payments organization focused on real-time, high-volume financial transactions. Their technology landscape demands rapid feature delivery, enterprise-grade security, and seamless reliability across microservices powering critical payment flows.
The rise of AI agents, whether powering customer support, automating workflows or driving decision-making has shifted the stakes for digital
Incidents are inevitable in complex DevSecOps systems. What separates high-performing teams from the rest is how quickly they can identify
Cloud computing has become the backbone of digital transformation. But here’s the thing: not all clouds are created equal, and
Dynamic Environments are on-demand, automated environments that streamline development, testing, and deployment by eliminating manual setup and ensuring consistency.
Developers can autonomously create and manage environments, reducing dependencies and accelerating workflows, which leads to faster development cycles.
Yes, Dynamic Environments support multi-cloud and hybrid deployments, providing unified control over on-prem, cloud, and hybrid infrastructures.
They optimize resource utilization by automatically provisioning and de-provisioning environments, minimizing idle infrastructure and lowering cloud expenses.
By validating features in isolated, production-like environments, they reduce the risk of deployment failures and improve release confidence.
