Cloud Cost Optimization Tools

This project is a comprehensive, community-driven directory that serves as a centralized discovery hub for the container ecosystem. It functions as a structured knowledge base, aggregating a wide array of software tools, educational materials, and technical resources designed to assist developers and operators in mastering containerization technologies. The repository distinguishes itself through a meticulously organized taxonomy that maps the entire container lifecycle, from initial development and image building to orchestration, security, and infrastructure operations. By curating disparate external links and documentation into a single, version-controlled collection, it provides a clear navigation path for users seeking specialized utilities, ranging from runtime engines and registry tools to advanced supply chain security and observability solutions. Beyond its role as a tool index, the directory supports professional growth by offering a broad surface of learning resources, including tutorials, best practices, and community-vetted guides. It covers essential operational domains such as multi-container workload management, image hardening, and workflow optimization, ensuring that both newcomers and experienced practitioners have access to a reliable reference for modern containerized systems.

Homebrew is a command-line package management tool designed to automate the installation, configuration, and maintenance of software on local development environments. It functions as a cross-platform software distributor, enabling users to install tools from pre-compiled binary archives or source code without requiring administrative privileges. By managing complex dependency trees and versioning, it ensures that software remains consistent and compatible across different system architectures. The project distinguishes itself through a declarative approach to system configuration, allowing users to define and synchronize their desired software state using a domain-specific language. It leverages version-controlled repositories for package definitions, which facilitates decentralized community contributions and modular management. To maintain system integrity, it executes installations within sandboxed environments and utilizes shim-based wrappers to dynamically manage environment paths, preventing system-wide pollution while providing on-demand installation suggestions. Beyond core package management, the framework provides extensive utilities for development environment orchestration. It supports isolated runtimes for various programming languages, manages environment variables, and offers tools for auditing build integrity and automating package updates. The system also includes features for exporting and importing configuration states, enabling reproducible environments across different machines.

CamPhish is a social engineering framework and phishing tool designed to capture webcam photos and GPS coordinates from remote devices. It uses web interfaces to request browser permissions, allowing it to retrieve device media and geographic location data. The project includes a local server tunneling tool that creates public internet links, making hosted phishing pages accessible to remote users. It also features a GPS location tracker that retrieves latitude and longitude coordinates and displays them on maps. The system manages the exfiltration of captured data to a backend server, where images and coordinate logs are saved to the local filesystem. It also provides utilities for the cleanup and deletion of these stored files.

Mole is a terminal-based utility designed for comprehensive system maintenance, storage management, and real-time hardware monitoring. It provides a command-line interface for users to analyze disk usage, track system health metrics, and perform routine optimization tasks to maintain machine stability and performance. The project distinguishes itself through a declarative configuration model that uses structured data files to define custom cleanup logic, allowing for precise control over the removal of temporary files and project artifacts. It incorporates a safety-first execution layer that wraps destructive operations in validation checks, ensuring that user intent is verified before any files are modified or deleted. This approach extends to application lifecycle management, where the tool facilitates the complete removal of software binaries along with their associated configuration files and orphaned data. Beyond its core cleanup capabilities, the tool offers a broad suite of maintenance functions, including the clearing of system caches, the removal of redundant installer packages, and the optimization of background processes. It features a recursive file-system traversal engine to identify storage-consuming data and provides real-time visibility into hardware resources such as CPU, memory, and network status. Users can further extend the utility by integrating custom script directories to automate specific workflows directly from the command line.

kops is a Kubernetes cluster provisioner and lifecycle manager designed to automate the creation, maintenance, and destruction of production-grade clusters on cloud infrastructure. It functions as a declarative infrastructure manager, synchronizing the live state of a cluster with versioned manifests stored in remote object storage to ensure idempotent operations. The project distinguishes itself by offering comprehensive automation for the entire cluster lifecycle, including high-availability control plane deployment, incremental rolling updates, and automated version upgrades. It also serves as an infrastructure-as-code exporter, capable of generating Terraform configurations from the current state of a deployed cluster. Beyond provisioning, it covers a broad operational surface including automated node and pod scaling, etcd data store management, and complex networking configurations such as dual-stack IPv6 and CNI integration. It also manages identity and security through OIDC authentication integration, cloud IAM role mapping, and x509 certificate lifecycle management. The tool provides a command-line interface with support for shell autocompletion.

LeakCanary is a diagnostic tool designed to identify memory leaks by monitoring object lifecycles and analyzing heap snapshots. It automatically detects objects that fail to be garbage collected after their expected lifespan, providing developers with actionable insights to prevent performance degradation and application crashes. The project distinguishes itself by offloading memory-intensive heap parsing to a separate background process, which minimizes performance impact on the main application during runtime. It includes sophisticated deobfuscation capabilities that map obfuscated stack traces back to original source code, and it supports granular control through reference filtering and custom inspection logic to suppress known false positives. Beyond core detection, the tool offers comprehensive configuration options for managing analysis thresholds, build-specific behaviors, and environment-specific monitoring. It provides both deep heap analysis for development environments and lightweight instance tracking for production builds, ensuring memory health can be monitored across the entire application lifecycle.

This project is an automated command-line tool designed to install and configure a secure network gateway on a host machine. By utilizing established open-source security protocols, it establishes a private tunnel endpoint that encrypts internet traffic and facilitates remote access connectivity for authorized users. The tool functions as an infrastructure lifecycle manager, streamlining the deployment of private network services through shell-script-based orchestration. It distinguishes itself by integrating directly with the Linux kernel to manage packet filtering rules and providing credential-based access control, which generates and stores unique security keys locally for identity verification. Beyond the initial setup, the software includes administrative utilities for managing user accounts and configuring network parameters such as custom domain name servers via environment variables. It also supports the complete removal of the gateway and its associated configuration files to manage system resources.

LocalStack is an infrastructure development environment that provides a local simulation of cloud services. By leveraging container-orchestrated service lifecycles, it allows developers to build, test, and debug cloud-native applications on their local machines without requiring remote connectivity or incurring cloud provider costs. The platform distinguishes itself through sophisticated traffic redirection and request routing, which intercept cloud service calls at the network layer and redirect them to local handlers. This enables seamless integration with existing development workflows, allowing users to mock cloud resources, replicate infrastructure states, and execute ephemeral testing environments within continuous integration pipelines. Beyond core emulation, the platform includes a comprehensive suite of developer tools for managing service lifecycles, monitoring activity, and configuring runtime environments. It supports complex distributed architectures through event-driven simulation, persistent storage mapping, and dynamic configuration injection, ensuring that local environments accurately mirror production requirements. The system is designed for integration into automated build and deployment workflows, providing visual dashboards and terminal-based interfaces for real-time resource management and infrastructure troubleshooting.

ToolJet is a low-code development platform designed for building and deploying internal business applications. It provides a visual interface where users can drag and drop components to design layouts, connect to various data sources, and execute custom logic. The platform is built on a containerized architecture, ensuring that applications remain portable and consistent across different cloud and server environments. The platform distinguishes itself through integrated artificial intelligence capabilities that assist in the generation of user interfaces, database schemas, and data queries from natural language requirements. Beyond interface design, it includes a backend orchestration engine that automates complex business processes by chaining together API calls, database operations, and conditional logic. Developers can also manage the entire application lifecycle, including version control, multi-environment deployments, and granular role-based access security. The system supports a broad range of operational needs, including built-in relational database management, external service integrations, and observability tools for monitoring performance. It also offers mechanisms for embedding interactive tools into third-party websites and managing user authentication through identity provider synchronization. The platform is designed for containerized deployment and provides comprehensive documentation for installation, infrastructure configuration, and version upgrades.

Gitleaks is a security scanning engine designed to identify hardcoded credentials, API keys, and other sensitive information within version control systems and local file structures. It functions as a static analysis tool that automates the detection of secrets, helping to prevent the accidental exposure of sensitive data during the development lifecycle. The tool distinguishes itself through its ability to perform deep forensic analysis of git history, allowing users to audit entire project timelines or enforce security gates within continuous integration pipelines. It supports complex detection logic through composite rules and provides mechanisms for baseline management, which enables teams to ignore existing findings and focus exclusively on new security risks. By offering pre-commit hook integration and exit-code-based orchestration, it allows for the enforcement of security policies directly within developer workflows and automated build environments. Beyond core scanning, the project provides a broad set of utilities for managing security findings, including support for decoding obfuscated strings, inspecting compressed archives, and filtering results through allowlisting or path exclusions. It facilitates compliance and reporting by exporting structured data, which can be integrated into external dashboards or tracking systems. The tool is built to handle various input sources, including direct file system traversal and standard input streams, ensuring compatibility with diverse development and deployment environments.

dockerlabs is a collection of educational labs and technical tutorials designed to teach the fundamentals of containerization and microservice architecture. It provides instructional material and hands-on exercises covering image optimization, security training, infrastructure setup, and cluster orchestration. The project features specific courses and guides focused on reducing image size through multi-stage builds, securing workloads via vulnerability scanning and encrypted networks, and deploying multi-node clusters with high availability using Swarm orchestration. The materials cover a broad range of operational capabilities, including container lifecycle management, persistent data storage, and complex networking configurations. It also includes guidance on implementing observability stacks for monitoring and logging, as well as the administration of private image registries.

Trufflehog is a security tool designed to continuously monitor code repositories and cloud environments to detect, verify, and remediate exposed sensitive credentials and API keys. It functions as a comprehensive secret scanning engine that integrates directly into deployment pipelines and version control systems to intercept sensitive data before it is committed or pushed. By utilizing read-only operations and volatile memory processing, the system ensures that discovered credentials are never stored persistently, maintaining strict data privacy throughout the scanning lifecycle. The platform distinguishes itself through a privacy-focused architecture that relies on cryptographic fingerprinting to track and deduplicate findings without ever transmitting or storing raw sensitive values. It supports distributed scanning via independent agents that connect to a central dashboard, allowing for localized analysis while maintaining network isolation. Furthermore, the system provides automated incident response capabilities, including secret rotation and revocation, which help organizations minimize the window of vulnerability for compromised credentials. Beyond core detection, the project offers a broad capability surface for enterprise-wide access governance and security compliance. It includes modular detection logic for custom rule definitions, integration with external identity providers for role-based access control, and extensive monitoring across cloud storage, container infrastructure, and collaboration platforms. The system also provides detailed metadata tracing to link findings to specific users, pipelines, or commits, facilitating efficient remediation and auditability across large-scale development environments.

Vulhub is a collection of pre-configured, containerized applications designed to serve as a standardized platform for security research, vulnerability testing, and educational exploitation exercises. It functions as an orchestration framework that enables users to deploy isolated software environments for the purpose of practicing penetration testing and analyzing common security flaws in a controlled setting. The project utilizes an infrastructure-as-code pattern to define complex, multi-service software stacks, ensuring that testing targets remain consistent and reproducible. By leveraging declarative service orchestration, it automates the startup sequence and network connectivity of interconnected containers, allowing researchers to simulate realistic, vulnerable application architectures. The environment lifecycle is ephemeral, providing automated tools to create, manage, and destroy instances to maintain a clean state across research sessions. Beyond its core deployment capabilities, the platform supports a range of workflows including security tooling validation, vulnerability analysis, and hands-on security training. Users can monitor container health, inspect application logs, and modify internal configurations to perform deep analysis of specific software components. The repository is structured to facilitate the rapid setup of standardized targets for testing and educational purposes.

The Serverless Framework is a declarative infrastructure-as-code tool designed to automate the deployment, scaling, and lifecycle management of cloud-native applications. It provides a unified command-line interface that translates high-level configuration files into provider-specific resource templates, enabling developers to orchestrate complex architectures, event-driven functions, and cloud resources within a single project structure. What distinguishes this framework is its focus on developer experience and multi-environment parity. It supports local function invocation and event proxying, allowing developers to test and debug code locally against live cloud events without requiring constant redeployments. The framework also features a modular plugin system for extensibility and advanced service composition, which allows teams to manage related services as a single unit, share outputs between components, and coordinate deployments across multiple cloud accounts and stages. The platform covers a broad capability surface, including integrated secret management, dynamic variable resolution, and comprehensive observability tools that aggregate logs, metrics, and traces. It also provides specialized support for configuring API infrastructure, managing GraphQL schemas, and exposing business logic to AI agents through secure gateway controls and standardized interface definitions. The framework is managed through configuration files that define infrastructure, event triggers, and environment-specific settings, with installation and operation handled via a standard command-line interface.

Dive is a command-line tool designed for the analysis and optimization of container images. It functions as a layered storage inspector, allowing users to decompose image manifests to examine individual filesystem layers and identify opportunities to reduce total image size. The tool features a filesystem diffing engine that calculates net changes between sequential layers to highlight redundant data and storage inefficiencies. Users interact with this data through a terminal-based dashboard that provides keyboard-driven navigation of complex file structures and layer metadata. By abstracting the underlying container runtime, the tool maintains compatibility across various storage formats and engine environments. Beyond manual inspection, the software supports automated quality gates for continuous integration pipelines. It evaluates image metadata against user-defined performance thresholds to validate efficiency and prevent the deployment of suboptimal builds. Configuration files allow for the adjustment of logging levels, interface layouts, and engine preferences to suit specific development workflows.

Containerd is a daemon-based container runtime that manages the complete lifecycle of containers on a host system. It functions as a core orchestration backend, handling image distribution, storage, and process execution while adhering to industry-standard specifications for container execution and configuration. The project is distinguished by its modular, plugin-based architecture, which allows for the extension of storage, runtime, and networking capabilities without requiring a full daemon recompile. It utilizes a shim-based execution model to delegate low-level operations, ensuring isolation and support for diverse environments. Furthermore, it employs content-addressable storage for efficient image management and provides a gRPC-based interface for programmatic control by external infrastructure applications. Beyond its core execution duties, the project covers a broad capability surface including comprehensive filesystem management, secure resource isolation, and advanced observability. It supports complex deployment requirements through features like container checkpointing, hardware resource exposure, and flexible network configuration. Security is enforced through image verification, kernel-level isolation policies, and support for unprivileged container execution. The project provides extensive documentation and tooling, including command-line utilities with shell completion and automated test suites for validating runtime interface compliance.

Proxmox VE Helper Scripts is a collection of shell-based automation utilities designed to simplify the installation and configuration of software services within virtualization environments. The repository functions as an infrastructure management tool, providing standardized procedures for deploying and maintaining virtual machines and containers directly on the host operating system. The project distinguishes itself through idempotent configuration management, which ensures system state consistency by verifying existing resources before applying changes. By utilizing direct host interaction, the scripts invoke native system binaries to modify the environment without requiring intermediate abstraction layers, while environment-aware execution allows the logic to adapt dynamically to different host parameters and versioning. These scripts cover a broad range of administrative operations, including homelab resource orchestration, server cluster maintenance, and general infrastructure automation. The modular design allows users to execute isolated tasks independently or chain them together to support complex deployment workflows.

Dinero.js is a TypeScript-first library for creating, calculating, and formatting monetary values. It provides immutable money objects that represent amounts in the smallest currency subdivision as integers, ensuring precision and preventing floating-point errors. The library enforces same-currency rules on arithmetic operations and validates currency codes against ISO 4217 definitions at creation time. The library distinguishes itself through a calculator plugin architecture that delegates arithmetic operations to interchangeable backends, supporting number, bigint, or custom precision libraries. It offers type-safe module variants with separate import paths for number and bigint backends, enabling compile-time type selection without runtime overhead. Dinero.js also includes a proportional allocation algorithm that distributes monetary values across recipients without losing fractional cents, and provides scale-normalized arithmetic that converts amounts to a common decimal scale before addition or subtraction. The library supports immutable arithmetic operations including addition, subtraction, comparison, proportional allocation, and currency conversion. It generates decimal string representations of monetary amounts without locale-specific formatting, allowing callers to apply their own localization layer. Custom scale configuration enables overriding the default currency exponent to handle currencies with no minor units or non-decimal subdivisions.

This project is a command-line interface that bridges local development workflows with remote platform services. It functions as a terminal-based platform client, enabling users to manage repositories, issues, and pull requests directly from their command line through authenticated API interactions. The tool provides a modular environment that supports custom binary extensions and command aliases, allowing developers to tailor their terminal experience to specific project needs. Beyond standard repository management, the tool serves as a remote development manager, offering capabilities to provision, configure, and connect to cloud-based development environments. It also functions as a software supply chain security utility, providing features to verify the authenticity and integrity of software artifacts through cryptographic signatures and signed attestations. Users can further streamline their operations by utilizing natural language processing to translate plain English prompts into executable shell commands. The platform supports comprehensive workflow orchestration, including the ability to monitor continuous integration pipelines, manage workflow runs, and handle build artifacts. It also includes extensive administrative tools for project tracking, organization membership management, and repository governance, such as ruleset checking and label synchronization. The tool is designed for integration into automated pipelines, allowing for task execution without requiring manual authentication. It maintains stateful configuration and supports credential-helper integration to manage authentication tokens securely across different development environments.

KubeEdge is a distributed edge computing framework that extends Kubernetes to manage containerized workloads and hardware devices at the edge. It functions as a Kubernetes edge orchestration system, allowing the deployment and management of applications across distributed edge nodes using native Kubernetes APIs and workflows. The project distinguishes itself through a specialized focus on IoT integration and node autonomy. It employs digital-twin state modeling to represent physical hardware devices as virtual objects, utilizing an MQTT-based messaging bus for communication with heterogeneous devices. To ensure operational stability during network instability or cloud disconnections, it implements local metadata caching and state persistence, allowing edge nodes to maintain local application operations independently. The framework provides a comprehensive set of capabilities covering cloud-edge networking via WebSocket and QUIC protocols, distributed device management, and container lifecycle orchestration. It further includes tools for remote pod debugging, centralized node status reporting, and the management of storage volumes and resource reclamation at the edge.