Projects sharing features with Aws Lambda Power Tuning

karpenter-provider-aws is a Kubernetes node autoscaler and infrastructure provider for AWS. It serves as a node lifecycle manager and cluster cost optimizer that automatically provisions and removes compute instances based on the resource requirements of pending pods. The project distinguishes itself through advanced AWS spot instance orchestration and price-capacity optimized selection to reduce cloud spend. It minimizes costs by consolidating underutilized nodes and prioritizing spot or reserved instances over on-demand capacity, while proactively migrating workloads before cloud provider i

The Accidental CTO is a comprehensive collection of guides and frameworks focused on distributed systems architecture, resilience engineering, and system observability. It provides strategies for scaling applications from thousands to millions of users while maintaining high availability. The project offers specific methodologies for managing data volume through replication, sharding, and caching. It includes a framework for analyzing cloud infrastructure spending and evaluating transitions to self-hosted environments to reduce operational expenses. The resource covers the implementation of

Agones is a Kubernetes game server orchestrator designed for hosting, scaling, and managing dedicated multiplayer game servers. It extends the Kubernetes control plane using custom resource definitions to define game server and fleet objects, utilizing a dedicated fleet manager to maintain pools of warm server instances. The system provides a game server SDK and language-specific client libraries that allow server processes to signal readiness, health, and shutdown states directly to the controller. It distinguishes itself through specialized scaling logic, including the use of WebAssembly mo

Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain

This repository serves as a curated knowledge base and study resource for professionals preparing for technical interviews in infrastructure and operations. It provides a comprehensive collection of questions and answers covering core engineering concepts, including cloud platforms, infrastructure automation, and industry-standard practices. The project functions as a collaborative documentation repository, utilizing version-controlled text files to maintain technical accuracy. By leveraging community-driven peer review and feedback loops, the content remains structured and verifiable. The re

ClearML is a comprehensive MLOps platform designed to manage the end-to-end machine learning lifecycle, from initial experimentation to production deployment. It provides a suite of integrated tools including a pipeline orchestrator for automating workflows, an experiment tracking tool for logging hyperparameters and metrics, and a metadata-driven data versioning system for managing large-scale datasets and model artifacts. The platform is distinguished by its advanced compute management and serving capabilities. It features a GPU compute manager that supports fractional resource slicing and

Cloud Custodian is an open-source rules engine that uses declarative YAML policies to query, filter, and take automated actions on cloud resources for governance and compliance. It functions as a stateless policy execution engine, where each policy evaluation runs as an independent, idempotent operation without maintaining internal state between runs. Policies are defined using a YAML-based domain-specific language that structures rules as a query-filter-action pipeline. The engine supports dry-run validation, allowing users to simulate policy actions against live resources without applying c

Spegel is a container registry cache and peer-to-peer distribution system for Kubernetes. It functions as an OCI image mirror and content addressable store that shares image layers between cluster nodes to reduce external registry traffic and latency. The project implements a distributed hash table to locate image digests across the network, allowing nodes to retrieve content from peers rather than repeated external downloads. This architecture mitigates registry rate-limiting and provides offline image availability to prevent workload failures during registry outages. The system covers capa

Side-Menu.Android is a reusable UI component for Android applications that provides a slide-out navigation drawer. It is designed to help developers organize application sections and user options into a structured, hidden panel that maintains a clean interface for the primary content area. The component distinguishes itself through its visual presentation, which follows Material Design guidelines to ensure a consistent and intuitive user experience. It features a data-driven menu hierarchy that allows for logical grouping of navigation items, and it incorporates fluid circular reveal animatio

Azure Docs is the official technical documentation repository for Microsoft Azure, the cloud computing platform. It provides comprehensive guidance on the full spectrum of Azure services, covering everything from core infrastructure components like virtual machines, Kubernetes clusters, and serverless computing to platform services for AI, machine learning, data analytics, and storage. The documentation details how to provision, manage, and govern cloud resources at scale, including policy enforcement, identity management, and cost optimization. The documentation distinguishes Azure through i

Cortex is a Kubernetes-based machine learning infrastructure platform designed for deploying, scaling, and managing models and workloads. It functions as a serverless inference engine and GPU cluster orchestrator, providing the tools necessary to execute real-time, asynchronous, and batch model predictions. The platform utilizes declarative infrastructure-as-code for provisioning model clusters and environments. It optimizes operational costs by elastically scaling CPU and GPU resources through the use of spot instances. The system covers a broad set of operational capabilities, including wo

AutoMQ is a cloud-native streaming platform and Kafka-compatible message broker. It implements the Kafka protocol to provide integration with existing clients and ecosystems while functioning as a message queue that persists data directly to cloud object storage. The system decouples compute from storage, allowing processing power and storage capacity to scale independently. It utilizes a shared-log architecture and object-storage-based persistence to remove dependencies on local disks, which reduces operational costs and eliminates manual disk management. The platform includes mechanisms fo

CloudQuery is a cloud infrastructure ETL tool and multi-cloud data pipeline designed to collect, synchronize, and normalize resource metadata from various cloud providers and SaaS platforms. It functions as a centralized asset inventory manager and security posture manager, extracting configuration and state data into relational databases, data lakes, or data warehouses. The system distinguishes itself by transforming complex, nested cloud API responses into flat relational tables, enabling the use of standard SQL for asset querying and analysis. It employs a modular plugin system for data ex

Rivet is a distributed infrastructure for managing the lifecycle, addressing, and persistence of stateful actors and durable execution engines. It provides a distributed process sandbox that executes application logic within lightweight isolates, ensuring resource isolation and fast cold starts. The system is designed to coordinate multi-step operations using persistent queues and timers to guarantee reliable task completion across distributed environments. The platform specifically enables the orchestration of stateful AI agents that maintain persistent memory and state across long-running i

This project is a serverless infrastructure orchestrator and deployment tool designed to host Next.js applications on AWS. It functions as an edge computing deployment framework and cloud infrastructure-as-code wrapper that automates the provisioning of AWS Lambda functions, S3 buckets, and CloudFront distributions. The system distinguishes itself by distributing server-side rendering and API routes across global edge locations to reduce latency. It integrates directly with content delivery networks to optimize the delivery of static assets and rendered pages, while providing a layer to wrap

Plow is a suite of utilities used for generating HTTP load, measuring network performance, and visualizing live metrics. It functions as both an HTTP load generator and a benchmarking tool that measures latency and throughput by sending concurrent requests at configurable rates. The project includes a Socks5 and HTTP proxy client, allowing benchmark traffic to be routed through proxies to test services located behind network gateways. It also provides a real-time performance dashboard via web and terminal interfaces to visualize live metrics and latency histograms during active sessions. The

wrk2 is a high-performance HTTP benchmarking tool and constant throughput load generator. It is designed to measure server stability and throughput by sending a fixed number of requests per second, functioning as a high-resolution latency profiler and a Lua-scriptable performance tester. The tool distinguishes itself through a scriptable interface that uses a high-performance just-in-time compiler to define complex request formats and custom response reporting logic. It employs high-resolution histograms to capture precise response time distributions and high-percentile latency data. The pro

dockertest is a Docker integration testing library and programmatic Go client used to boot and manage ephemeral containers. It functions as a containerized test orchestrator that provides isolated environments for integration tests by managing the lifecycle of dependent services. The library handles ephemeral environment orchestration by provisioning temporary containers and networks. It ensures environment consistency through service readiness checks and automated resource cleanup to prevent leaks after test execution completes. The project covers containerized service validation, including

Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools through declarative YAML pipelines. It functions as a distributed security scanner, a declarative workflow automator, and an AI agent framework for security, enabling automated multi-step security analysis with conditional branching, parallel execution, and distributed workers. The engine distinguishes itself through a hybrid runner model that executes workflow steps on the local host, inside Docker containers, or over SSH to remote machines, selected per step or module. It supp

docker-py is a Python library and SDK that serves as a programmatic client for the Docker Engine API. It provides a programmatic interface for controlling containers, images, and clusters, allowing for the automation of containerized applications and engine resources. The library enables remote Docker administration through various transport methods, including Unix domain sockets, TCP ports, and encrypted SSH tunnels. It handles real-time data links by using WebSockets to stream input and output from active containers. The project covers container lifecycle control, image management for buil

Found at: https://github.com/AndrewFarley/serverless-cloudwatch-rds-custom-metrics Farley farley at olindata dot com OR farley at neonsurge dot_ com

Serverless plugin for migrate

Guidance for Vibe Coding AI Agents with AWS MCP Servers - Table of Contents - Overview - AWS MCP Servers - Architecture - Cost - Sample Cost Table - Deployment Options - Option 1: AWS Workshop Studio (Recommended for Workshop Participants) - Option 2: Self-Deployment in Your Own AWS Account -…

Ansible is an agentless infrastructure automation engine designed to manage remote servers and network devices. It functions as a cross-platform orchestration tool that coordinates system updates, software installations, and service configurations from a centralized management workstation. By utilizing a declarative approach, it allows users to define desired system states through human-readable configuration files, ensuring consistency across distributed environments. The platform operates by establishing secure shell connections to target nodes, eliminating the need for persistent agent sof

Production-ready Terraform boilerplate for serverless AWS APIs. Complete infrastructure-as-code solution with Lambda, API Gateway, DynamoDB, and S3. Perfect for startups - less than $1/month.

This project is a self-hosted platform-as-a-service that provides a centralized management interface for deploying, configuring, and monitoring containerized applications and databases on private infrastructure. It functions as a visual control plane, automating the end-to-end lifecycle of services from source code to production. By managing container orchestration, networking, and resource allocation, it allows users to maintain full control over their own hardware while streamlining the delivery of software. The platform distinguishes itself through its agentless architecture, which uses se

Phalcon VM is an open source Vagrant configuration which contains wide range of tools required in modern web development. Like a Swiss Army Knife, Phalcon VM allows you to easily activate and use tools required for you project.