Rely.io: The AI-Powered Engineering Hub Transforming Developer Productivity

Rely.io redefines engineering efficiency by unifying fragmented tools and data into a single AI-driven platform. Designed for developers and technical leaders, it tackles critical pain points: chaotic service discovery, opaque performance metrics, and manual compliance checks.

The platform’s Catalog auto-discovers services and maps dependencies, while Insights tracks engineering KPIs like deployment frequency and incident rates. Teams enforce standards via customizable Scorecards, and developers gain autonomy through Self Service tools that reduce workflow bottlenecks. Early-access AI Agents automate DevOps tasks via Slack/Teams/IDE, integrating infrastructure management and knowledge bases.

Trusted by engineering leaders at Wix, Feedzai, and Salsify, Rely.io integrates seamlessly with AWS, GitHub, Datadog, Jira, and 15+ tools. Clients praise its ability to accelerate delivery cycles and “unlock team potential” through actionable data.

A free demo and Backstage migration support lower adoption barriers, while SOC 2 compliance ensures enterprise-grade security. For engineering organizations scaling microservices and distributed systems, Rely.io isn’t just a dashboard—it’s a force multiplier.

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Intelligent Service Discovery & Dependency Mapping

Rely.io's Catalog feature automatically maps an organization's entire software ecosystem through intelligent service discovery. By analyzing existing infrastructure and development patterns, it creates a real-time visualization of service relationships and dependencies across microservices, APIs, and cloud resources. This eliminates manual documentation efforts and provides engineers with an always-updated architectural map. The value lies in reducing system complexity awareness gaps, enabling faster incident resolution through dependency insights, and preventing deployment risks. As the foundation of Rely.io's platform, it feeds critical data to other modules like Insights analytics and Compliance Scorecards while maintaining compatibility with Backstage for seamless migration.

Engineering Performance Analytics

The Insights module transforms raw development data into actionable metrics through 360-degree engineering analytics. It tracks deployment frequency, lead time for changes, and system reliability metrics across teams and services. Engineering leaders gain visibility into productivity trends and operational health through customizable dashboards, while developers receive personalized feedback loops for process improvements. This data-driven approach helps organizations balance velocity with stability, identify workflow bottlenecks, and align team performance with business objectives. The analytics directly inform Scorecard compliance metrics and integrate with monitoring tools like Datadog and Grafana for comprehensive observability.

Customizable Compliance Scorecards

Rely.io's Scorecards system enables organizations to enforce technical and operational standards through automated policy checks. Teams can define custom rules for security practices, documentation completeness, and architectural guidelines that automatically evaluate services against compliance requirements. This continuous governance model replaces manual audits with real-time validation, reducing technical debt accumulation and audit preparation time. The feature integrates with Insights data to track improvement trends and connects to the Self Service portal to surface compliance gaps directly in developer workflows. Enterprise users particularly benefit from its ability to maintain consistency across distributed teams and evolving infrastructure.

Developer Self-Service Portal

This productivity toolkit centralizes access to environment templates, deployment pipelines, and operational playbooks through a unified interface. By reducing dependency on platform teams, developers can independently provision resources, debug issues, and manage lifecycle operations using pre-approved configurations. The portal integrates with Jira and Git repositories to contextualize self-service actions within existing workflows while maintaining security guardrails. Its value proposition centers on accelerating development cycles through reduced wait times and cognitive load, particularly benefiting mid-to-large engineering organizations managing complex microservices architectures.

AI-Powered DevOps Automation

Currently in early access, Rely.io's AI Agents automate routine DevOps tasks through natural language interactions in Slack, Teams, and IDEs. These intelligent assistants handle incident triage, knowledge base queries, and infrastructure changes using conversational interfaces while enforcing organizational policies. The system learns from historical data and integrates with service catalog information to make context-aware decisions. This reduces repetitive work for engineers and lowers the barrier to complex operations through guided automation. The AI layer enhances other platform capabilities by providing intelligent recommendations for service improvements and automatically updating documentation across connected systems.