Lattice Internal Developer Platform

Overview: Tech Mahindra Lattice Engineering Platform is an AI-powered Internal Developer Platform (IDP) built to improve developer productivity, standardize software delivery, and accelerate cloud-native engineering across enterprises.

Built on AWS and leveraging Backstage-based developer portals, generative AI, platform engineering practices, and enterprise integrations, Lattice provides a unified experience for application onboarding, software templates, CI/CD automation, infrastructure provisioning, governance, observability, and AI-assisted engineering workflows.

The platform enables organizations to establish a standardized engineering ecosystem where developers can discover services, provision resources, onboard applications, deploy software, manage infrastructure, and access engineering knowledge through a single self-service experience.

Lattice combines platform engineering, DevSecOps, FinOps, AI-powered assistance, and software supply chain governance capabilities to reduce cognitive load on development teams and improve engineering outcomes at scale.

Key Features: Developer Self-Service Portal powered by Backstage-based experiences for application onboarding, service discovery, documentation, ownership, and catalog management AI-powered engineering assistant leveraging Generative AI and Amazon Bedrock for application onboarding, platform guidance, troubleshooting, knowledge retrieval, and engineering workflows Golden path templates for rapid creation of applications, APIs, microservices, infrastructure components, and cloud-native workloads Automated CI/CD orchestration integrating source control, build, test, security scanning, deployment, and release management pipelines Infrastructure-as-Code automation supporting standardized provisioning of cloud environments, Kubernetes workloads, databases, and platform services Software catalog and metadata management enabling centralized visibility of applications, services, APIs, ownership structures, dependencies, and operational status Integrated DevSecOps controls including policy enforcement, security scanning, secrets management, compliance validation, and governance workflows Observability integration providing visibility into application health, performance, logs, metrics, traces, and operational insights Knowledge graph and software lineage capabilities enabling dependency tracking, engineering discovery, impact analysis, and platform intelligence FinOps and engineering insights integration providing usage visibility, cost optimization opportunities, service ownership reporting, and platform adoption analytics

Benefits: Accelerate developer onboarding and reduce time-to-productivity Standardize software delivery processes across engineering organizations Improve software quality through consistent governance and automation Reduce operational overhead through self-service platform capabilities Enhance developer experience through a unified engineering workspace Increase deployment frequency and engineering productivity Improve security and compliance posture through automated controls Simplify management of cloud-native applications and Kubernetes environments Enable platform engineering adoption with reusable golden paths and templates Reduce infrastructure provisioning and application onboarding timelines from days to hours Key AWS Services Used: Amazon Bedrock,Amazon EKS,Amazon ECR,Amazon API Gateway,AWS Lambda,Amazon RDS,Amazon OpenSearch Service,Amazon CloudWatch,AWS CloudTrail,AWS Security Hub,Amazon GuardDuty,AWS Secrets Manager,AWS Key Management Service (KMS),AWS CodeBuild,AWS CodePipeline,AWS CodeArtifact,Amazon Route 53,Elastic Load Balancer (ALB),AWS WAF,Amazon S3,Amazon EventBridge,Amazon Cognito