DevOps

CloudBurn is built for teams using Terraform or AWS CDK who want to prevent expensive infrastructure mistakes before they reach production. Most teams only discover AWS cost problems weeks late when the bill arrives and the infrastructure is already running. By then, the money is spent and fixing the issue is painful. CloudBurn changes this by bringing AWS cost visibility into code review, when changes are still easy to make. How it works: A developer opens a pull request with infrastructure changes in Terraform or AWS CDK CloudBurn automatically analyzes the changes using real-time AWS pricing A cost report is posted directly in the pull request, showing the monthly cost impact of each change The team reviews costs alongside code and adjusts before deployment What you get: Automatic cost analysis for every infrastructure pull request Real-time AWS pricing for your specific region Resource-level breakdowns showing old vs. new monthly costs Stop optimizing reactively. Catch costly de

BestBoilerplates.com is a curated directory and comparison site for SaaS boilerplates and starter kits — pre-built codebases developers can use to jump-start a web app or software project instead of building everything from scratch. The site collects dozens of boilerplates across different languages and frameworks (like Next.js, React, Laravel, Django, and more) and lets you compare them by features, tech stack, price, and other details so you can find the right foundation for your project. Most boilerplates listed include common SaaS functionality such as authentication, payment and subscription handling, admin panels, dashboards, and UI components. By using these starter kits, developers — whether solo makers, startups, or small teams — can save lots of time and focus on building the unique parts of their product instead of re-creating the same basic features. The site also explains what boilerplates are and how to choose the best one, acting as both a resource and decision-making

Axeploit, is an AI-driven vulnerability scanner that focuses on automating API and web app security testing.The problem we kept running into with traditional dynamic scanners is the manual overhead required just to get them past the login screen. You usually have to feed them session tokens, record brittle login flows, or share user credentials. When the frontend changes, the flow breaks. Because of this, traditional tools often completely miss authentication-related flaws like email verification failures, mobile OTP bypasses, or weak tokens which make up a massive chunk of actual vulnerabilities.We built Axeploit to operate autonomously, like a real user.How it works: Autonomous Auth: It registers its own accounts using real mobile numbers and email addresses, receives the OTPs. Layout-Aware: The agent adapts in real-time without breaking the testing flow. Deep Scanning: Once authenticated, it maps out the endpoints and scans for over 7,500 vulnerabilities.

Runsight — YAML-first workflow engine for AI agents.Design agent workflows visually. The canvas writes YAML to your filesystem — commit it, diff it, review it in PRs like any other code.When something breaks at 2 AM, you don't restart and hope. You pause the running agent, edit the prompt, and resume. No redeployment.What makes it different:→ Git-native. Workflows are YAML files in your repo, not rows in a database.→ Per-run cost tracking. Know what every agent call costs before the invoice arrives.→ Runtime intervention. Pause, inspect, fix, resume — while the workflow is running.Built for engineering teams who run agents in production and need the same rigor they have for everything else: version control, code review, and the ability to kill a runaway process.Open source. Self-hosted.

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Light Cloud is a platform that lets you deploy web apps from GitHub with ease. You connect a repository, and every push ships automatically. It supports static sites, containers, and managed Postgres, so you can run a full stack application from one project. Whether you are building a frontend-only site or a backend API with a database, Light Cloud handles the deployment and infrastructure for you.Key FeaturesGitHub-powered deployments: Connect a GitHub repository and every push triggers a build and deploy. Light Cloud reads your repo and picks the target: static site to the CDN or container to Cloud Run.Per-branch previews: Every branch and pull request gets its own live URL. Previews are built on push and removed when the branch is deleted, keeping production safe.Managed Postgres: Provision a database with the tier, region, and storage size you need. Credentials are encrypted and automatically wired to your app.Scale to zero: Idle containers stop billing, so you only pay for the time your app actually runs. Previews that are not in use cost nothing.Deploy with AI: Use the MCP server to let Claude create apps, deploy, and read logs. The VS Code extension adds @lightcloud to GitHub Copilot with /deploy, /status, and /plan commands.Built-in observability: Logs and metrics sit next to the environment they belong to. Watch a build stream, then follow the running service without extra tools.Who Should Use Light CloudDevelopers who want to deploy web apps from GitHub quickly: No need to configure servers or CI pipelines. Push code and get a live URL.Full-stack teams: Run frontend, backend, and database from the same project. Managed Postgres sits right next to your containers or static site.Teams that need preview environments: Give every pull request its own URL automatically. Review changes before merging to production.Developers who love AI-assisted workflows: Deploy from Claude or GitHub Copilot instead of opening a dashboard. Framework detection and .env parsing are handled for you.What is Light Cloud?Light Cloud is a deployment platform for web apps that connects directly to GitHub. It handles static sites, containers, and managed Postgres, and gives every branch its own preview URL.How does Light Cloud work with GitHub?You connect a GitHub repository to Light Cloud. On every push, Light Cloud builds your commit and deploys it to a global CDN for static sites or to Cloud Run for containers. Each branch and pull request gets its own URL.

StackSage is a privacy-first AWS audit tool that runs inside your GitHub Actions environment without sharing AWS credentials. It analyzes your cloud for cost savings, security posture, and resource waste, generating a full audit pack with a readable summary, HTML report, and JSON/CSV artifacts. It highlights cost optimization opportunities, IAM hygiene issues, exposure risks, encryption gaps, and idle resources like unused instances, volumes, and network components. Reports are customizable via configuration files. The workflow assumes a customer-controlled read-only IAM role to collect metadata and metrics, then delivers a detailed report with verification commands. StackSage offers a free self-serve trial and a $99/month plan with deeper insights and recurring automated audits for continuous cloud governance.

Simulate user traffic without the config/setup mess of JMeter, k6 or Gatling. Just paste a cURL or import Postman, and get real p90/p95/p99 latency data from multiple cloud regions in under 60 seconds. This helps you: Save cost & avoid over-spending on Infra. Scale responsibly. Check which APIs are choking when traffic increases

Complete monitoring for your infrastructure Monitor SSL certificates, scheduled jobs, APIs, and more. Get instant alerts via Slack, Email, Teams, or Webhook when something goes wrong. SSL Certificate Alerts: Never miss an expiring certificate. Auto-detect self-renewing certs and new subdomains. Heartbeat Monitoring: Dynamic heartbeat monitoring with on-the-fly configuration and custom metrics. API Monitoring: Track uptime, response times, and detect breaking schema changes automatically.