Google Cloud Run
Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.
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Aikido Security
Aikido is the all-in-one security platform for development teams to secure their complete stack, from code to cloud. Aikido centralizes all code and cloud security scanners in one place.
Aikido offers a range of powerful scanners including static code analysis (SAST), dynamic application security testing (DAST), container image scanning, and infrastructure-as-code (IaC) scanning.
Aikido integrates AI-powered auto-fixing features, reducing manual work by automatically generating pull requests to resolve vulnerabilities and security issues. It also provides customizable alerts, real-time vulnerability monitoring, and runtime protection, enabling teams to secure their applications and infrastructure seamlessly.
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Massdriver
At Massdriver, we believe in prevention, not permission. Our self-service platform lets ops teams encode their expertise and your organization’s non-negotiables into pre-approved infrastructure modules—using familiar IaC tools like Terraform, Helm, or OpenTofu. Each module embeds policy, security, and cost controls, transforming raw configuration into functional software assets that streamline multi-cloud deployments across AWS, Azure, GCP, and Kubernetes.
By centralizing provisioning, secrets management, and RBAC, Massdriver cuts overhead for ops teams while empowering developers to visualize and deploy resources without bottlenecks. Built-in monitoring, alerting, and metrics retention reduce downtime and expedite incident resolution, driving ROI through proactive issue detection and optimized spend.
No more juggling brittle pipelines—ephemeral CI/CD automatically spins up based on the tooling in each module. Scale faster and safer with unlimited projects and cloud accounts while ensuring compliance at every step. Massdriver—fast by default, safe by design.
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Architecto
Architecto is a comprehensive AI-driven platform designed to simplify cloud architecture design and analysis for modern engineering teams. It allows users to generate system architectures from natural language prompts, existing codebases, or infrastructure configurations. The platform supports multi-cloud and hybrid environments, enabling teams to design across AWS, Google Cloud, Azure, Kubernetes, and on-prem systems. Architecto brings together diagram creation, architecture review, and technical documentation into a unified workflow. Its AI-powered tools analyze systems for cost efficiency, security risks, scalability, and compliance issues before implementation. Features like Flow IQ and DB Visualizer help teams create detailed diagrams and visualize data structures effectively. The platform integrates with popular development and collaboration tools such as GitHub, GitLab, Jira, and Slack. Architecto also provides a library of architecture patterns to accelerate design and reduce time spent on planning. By combining automation and expert-level insights, it helps teams make better architectural decisions faster. Overall, Architecto improves collaboration, reduces manual work, and streamlines the entire system design lifecycle.
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