Backstage Integrations

The CloudZero Platform is uniquely positioned as the only cloud cost management tool that combines real-time engineering activities with financial data, helping users understand how their engineering decisions affect costs. Unlike typical cloud cost management solutions that focus solely on historical spending, CloudZero is specifically designed to help users recognize variations in costs and the underlying factors that contribute to them. Analyzing total spending can often obscure the identification of cost surges. To overcome this challenge, CloudZero utilizes machine learning technology to detect spikes in specific AWS accounts or services, facilitating proactive measures and informed planning. Aimed at engineers, CloudZero allows for meticulous examination of each line item, empowering users to respond to any questions, whether they stem from anomaly notifications or financial inquiries. This granular approach guarantees that teams retain a comprehensive insight into their cloud financials, ultimately supporting better decision-making and resource allocation. By fostering a deeper understanding of cost dynamics, CloudZero enables organizations to optimize their cloud spending effectively.

At Massdriver, our philosophy centers around prevention rather than permission, allowing operations teams to encode their knowledge and the organization's essential requirements into pre-approved infrastructure modules via user-friendly Infrastructure as Code (IaC) tools such as Terraform, Helm, or OpenTofu. Each module integrates policy, security, and cost controls, effectively transforming unrefined configurations into operational software components that facilitate seamless multi-cloud deployments across platforms like AWS, Azure, GCP, and Kubernetes. By consolidating provisioning, secrets management, and role-based access control (RBAC), Massdriver minimizes operational overhead and simultaneously empowers developers to visualize and deploy resources without delays or obstacles. Our integrated monitoring, alerting, and metrics retention capabilities enhance system reliability, reducing downtime and speeding up incident resolution, which ultimately boosts return on investment through early issue identification and optimized expenditure. Say goodbye to the complexities of fragile pipelines—our ephemeral CI/CD automatically initiates based on the specific tools utilized in each module. Experience accelerated and secure scaling with no limits on projects or cloud accounts while maintaining compliance throughout the entire process. Massdriver—where speed is the default setting and safety is a fundamental design principle, ensuring your operations run smoothly and efficiently.

You will receive the full revenue from ticket sales, with the opportunity to enhance your income further through a customizable handling fee that can include service charges, which can be passed entirely to the customer. This fee also covers expenses related to credit card transactions and the Cooltix platform. You have the discretion to set the fee amount, enabling you to boost your earnings beyond just the ticket sales. Users can seamlessly access various events at once through the Android and iOS applications. Additionally, you have the option to invite co-organizers to your Cooltix event, ensuring that all relevant parties have the necessary access to data and editing capabilities. The event's design can be customized to reflect your personal aesthetic, thanks to a range of available options. You can also enlist an unlimited number of promoters to assist in selling tickets via a dedicated interface. Implementing pricing discounts can expedite ticket sales, helping to fill the venue more efficiently and ultimately increasing total revenue. In this manner, both the organization of the event and its profitability can be significantly optimized, paving the way for even greater success in the future.

Streamlined, adaptable, and needing no continuous upkeep, it inherently includes security features, scorecards, and customization options. Roadie provides no-code management solutions tailored for Backstage. With a vibrant community of contributors, new Backstage plugins and features are constantly being developed. Roadie not only embraces these advancements but also effectively tackles challenges like GitHub rate limits. The platform enables easy integration of plugins and systems through a user-friendly interface, which also manages access and permissions. Furthermore, it includes advanced debugging tools designed to help tackle any unexpected issues that may occur. For your Developer Portal to succeed, it must be in sync with the workflows of your developers. Roadie allows you to integrate your own Backstage plugins effortlessly, facilitating the internal systems' integration into your Developer Portal. Additionally, Roadie provides the ability to personalize your API documentation renderer, ensuring that your documentation appears exactly as you want it to within Backstage, thus elevating the user experience. This adaptability ensures your platform is not only effective but also accessible and customized to meet specific requirements, ultimately fostering a more engaging and productive environment.

OpenCost represents a collaborative open-source project that remains impartial to vendors, aimed at tracking and distributing costs related to cloud infrastructure and containers in real time. Crafted by specialists in Kubernetes and supported by industry professionals, OpenCost sheds light on the frequently unclear expenditure patterns tied to Kubernetes usage. It provides various adaptable options for monitoring and allocating costs associated with cloud resources, thereby enabling precise showback, chargeback, and ongoing reporting capabilities. With its real-time cost allocation, users can trace expenses down to the level of individual containers, ensuring meticulous oversight of financial flows. The tool proficiently manages cost distribution for in-cluster resources, such as CPU, GPU, memory, load balancers, and persistent volumes, making it a versatile asset. OpenCost also incorporates dynamic asset pricing through integration with billing APIs from major cloud providers like AWS, Azure, and GCP, while offering customized pricing solutions for on-premises Kubernetes clusters. In addition to monitoring Kubernetes cluster expenditures, it has the capability to track costs from various cloud services related to object storage, databases, and other managed offerings. Moreover, it effortlessly works in conjunction with other open-source applications, facilitating the export of pricing data to systems such as Prometheus, which amplifies its effectiveness in cost management. As such, OpenCost emerges as an all-encompassing tool for organizations aiming to exercise robust oversight over their cloud expenditures while optimizing resource allocation strategies.

Amplication is an open-source platform tailored for backend development, streamlining the creation, management, and expansion of backend services while adhering to leading industry standards and practices. It enables developers to swiftly generate production-ready Node.js applications by defining data models, roles, and permissions, resulting in the automatic creation of REST and GraphQL APIs, as well as functionalities for authentication, role-based authorization, logging, and a management user interface. The platform's customizable nature allows for the integration of private plugins, facilitating the incorporation of internal tools, workflows, and coding standards specific to an organization. Moreover, Amplication features a service catalog that enhances visibility and governance, contributing to proactive maintenance and consistency among development teams. Its intuitive interface not only fosters collaboration and efficiency but also positions Amplication as a significant asset for contemporary backend development projects. By leveraging such a comprehensive platform, development teams can focus on innovation and delivering high-quality solutions more effectively.

Proofline is a cloud-based platform designed for code reviews that evaluates GitHub pull requests by analyzing data from deployment environments. It considers multiple aspects, including code paths, configurations, permissions, dependencies, resource limits, and deployment specifics to identify possible production risks before any merging occurs. The insights generated by Proofline elucidate the reasons behind failures and reference both code and environmental data. When there is a lack of evidence, whether it is outdated or simply unavailable, it is labeled as an assessment gap instead of an affirmation that a change is secure. Engineers can access these assessments through the Proofline console, which enables them to connect coding agents for tracking review statuses or sharing findings easily. The service is compatible with a range of platforms, such as AWS, Google Cloud, Vercel, Cloudflare Workers, Kubernetes, Terraform, OpenTofu, Docker Compose, and Backstage. Furthermore, Proofline comes with integrations for GitHub Actions, a command-line interface (CLI), MCP access, an HTTP API, and software development kits (SDKs) for both TypeScript and Python to streamline the review process. Importantly, connections to infrastructure are preserved in a read-only capacity, allowing teams to selectively manage which repositories and environments to integrate and how to address any identified issues. This organized methodology not only promotes effective management of potential risks but also fosters transparent communication amongst team members regarding the quality and safety of the code. Ultimately, by employing Proofline, teams can enhance their code review processes and bolster their confidence in production deployments.

Rootly is the modern, AI-driven incident management solution purpose-built for fast-moving engineering teams that prioritize reliability. It unifies on-call scheduling, automated incident workflows, AI root cause analysis, and post-incident retrospectives in a single, intuitive platform. Rootly integrates deeply with communication and collaboration tools like Slack, Teams, Jira, and Zoom, allowing responders to act, coordinate, and resolve issues without ever leaving their workspace. Its AI SRE engine not only diagnoses problems but also generates contextual suggestions, helping teams troubleshoot and restore services faster—often before full escalation. With automated data collection and report generation, Rootly eliminates the administrative burden traditionally associated with incident response. The platform also delivers AI-generated retrospectives, complete with timelines, action items, and Jira syncs, making continuous improvement effortless. Engineers benefit from human-centered design that prioritizes usability, context awareness, and prevention. Scalable and extensible by design, Rootly connects easily through APIs, Terraform providers, and custom integrations for complex environments. Its proven results—faster resolutions, reduced on-call fatigue, and measurable ROI—make it a trusted choice for companies like Webflow, Dropbox, Nvidia, and Tripadvisor. Altogether, Rootly empowers teams to prevent incidents, respond with confidence, and build a culture of reliability that scales with their growth.

Earthly Lunar helps platform and engineering leaders keep software delivery consistent as teams, repositories, and AI-assisted code volume grow. Instead of asking each team to maintain its own checklist or CI template, Lunar collects development lifecycle signals centrally from repositories and CI/CD systems. It creates a structured picture of each service's tests, dependencies, build and deployment practices, then evaluates organization-wide engineering guardrails against that picture. Leaders can see which standards are being followed, where exceptions appear, and how adoption changes across teams. Platform teams can start with monitoring, add pull request feedback, and graduate selected rules to blocking enforcement. Prebuilt and custom guardrails cover testing, quality, operational readiness, infrastructure, and compliance requirements. This approach gives teams flexibility in their tools while applying the same expectations to human-written and AI-generated code. The resulting enforcement history also supports audit preparation and post-incident follow-through.