Open-source alternatives to Ceph

phpredis is a C-based native extension that bridges PHP applications with Redis servers for high-performance data storage and retrieval. It serves as an interface for manipulating strings, hashes, lists, sets, and sorted sets while providing a direct path for executing Redis commands and server-side scripts. The extension provides comprehensive support for distributed environments and high availability. It interfaces with Redis Cluster to distribute data across multiple nodes using hash slots and manages Redis Sentinel for service discovery and automatic failover. It also enables shared state

This project is a comprehensive Java backend engineering guide and technical reference focused on high-concurrency design, distributed systems, and microservices architecture. It provides detailed strategies for decomposing monolithic applications, managing service discovery, and implementing the architectural patterns required for scalable backend environments. The repository distinguishes itself through an extensive collection of big data algorithmic references and database scaling strategies. It covers memory-efficient techniques for analyzing massive datasets, such as Top-K element extrac

Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

JuiceFS is a distributed file system designed to mount object storage as a local, POSIX-compliant drive. It functions as a cloud-native persistent storage layer that decouples file metadata from raw data, storing metadata in a transactional database while keeping data blocks in object storage. This architecture enables multiple hosts across different regions to access the same storage simultaneously while maintaining strong consistency. The system distinguishes itself by performing data processing, including compression and encryption, directly on the client side before transmission. By split

This project is a comprehensive educational resource focused on the principles, patterns, and trade-offs required to design scalable, reliable, and high-performance distributed systems. It provides a structured curriculum that covers the fundamental architectural strategies necessary for building modern software infrastructure, ranging from high-level system decomposition to low-level networking and data management. The repository distinguishes itself by offering deep dives into complex architectural patterns, such as microservices-based decomposition, event-driven communication, and command-

Harvester is a hyperconverged infrastructure software platform that combines compute, storage, and networking into a single system for managing virtualized environments on bare metal servers. It functions as a virtualization management platform and KVM hypervisor manager, providing a centralized interface to orchestrate the full lifecycle of virtual machines. The project distinguishes itself by integrating Longhorn distributed block storage to provide redundant, software-defined storage and a bare metal provisioning tool for automated deployment. This allows for the orchestration of infrastru

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 br

Hadoop is a big data infrastructure suite and distributed data processing framework designed to store and process massive datasets across clusters of computers. It consists of a distributed storage system for managing large files across multiple nodes and a parallel computing engine for processing data across a distributed cluster. The framework implements a distributed file system to ensure fault tolerance and high throughput, paired with a programming model that processes large datasets in parallel. It manages the underlying hardware and software environment required for distributed big dat

VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct

Kubo is a peer-to-peer implementation of the InterPlanetary File System (IPFS) designed for decentralized data storage and content delivery. It uses content-addressing, directed acyclic graphs, and distributed hash tables to identify, distribute, and retrieve data across a network without relying on central servers. The project differentiates itself by providing a virtual filesystem via FUSE, which maps decentralized network namespaces to local operating system directories for direct file access. It also includes integrated HTTP gateways that translate peer-to-peer content into standard web t

FoundationDB is an ACID-compliant distributed transactional key-value store. It functions as a scalable database engine that ensures strict serializability and data consistency across a cluster of servers using a shared-nothing architecture. The system is distinguished by its multi-region replication capabilities, allowing data to be synchronized across different datacenters for high availability and disaster recovery. It utilizes optimistic concurrency control to manage distributed transactions and employs a majority-based coordination system to maintain cluster state. The platform provides

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 project is a collection of structured study notes and conceptual breakdowns designed for the AWS Certified Cloud Practitioner exam. It serves as a technical reference and study guide, organizing cloud service details and architectural principles to assist in certification preparation. The knowledge base is built using markdown files and includes curated cheat sheets and interactive mind-map visualizations. These tools map complex certification topics into visual hierarchies to enable drill-down study paths and rapid revision. The materials cover a wide range of cloud capabilities, inclu

The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It

Dask is a parallel computing framework and distributed task scheduler designed to scale Python data science workflows from single machines to large clusters. It functions as a cluster resource manager that orchestrates computational logic by representing tasks and their dependencies as directed acyclic graphs. This architecture allows the system to automate the distribution of workloads across available hardware while managing complex execution requirements. The project distinguishes itself through a lazy evaluation engine that defers data operations until they are explicitly requested, enabl

Kubernetes is a distributed container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of computing nodes. It functions as a declarative infrastructure controller, utilizing a control loop architecture that continuously monitors the current system state against user-defined configurations to ensure desired operational outcomes. The system relies on a centralized API-driven interface and a replicated key-value store to maintain a consistent source of truth for all cluster objects. The platform distinguishes itself throu

Longhorn is a distributed block storage system and orchestrator for Kubernetes. It provides persistent, replicated block storage volumes that survive pod restarts and node failures by maintaining synchronous copies of data across multiple cluster nodes. The system implements the Container Storage Interface (CSI) for dynamic volume provisioning and attachment. It is distinguished by its support for shared read-write access to a single block volume across multiple pods, as well as the ability to export volume snapshots to external S3 or NFS targets for off-cluster disaster recovery. The platfo

Rook is a Kubernetes storage orchestrator and distributed storage operator that automates the deployment and management of storage clusters. It serves as a multi-protocol storage provider, offering block, file, and object storage capabilities to containerized workloads. The system focuses on providing a self-healing storage cluster that replicates data across hardware nodes to maintain availability and recover from failures. It uses an operator-led model to handle the installation, scaling, and upgrades of storage nodes and daemons. The orchestrator covers a broad range of provisioning servi

Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup

PikiwiDB is a distributed NoSQL database and disk-based key-value store that serves as a Redis-compatible protocol server. It is designed to handle datasets larger than available system memory by utilizing a persistence engine that stores the full dataset on disk. The system employs a tiered storage model, caching frequently accessed hot data in memory while maintaining the primary volume on disk. It ensures high availability through a replicated data store architecture, using asynchronous binary logs to synchronize data between primary and secondary nodes. The project supports distributed d

This project is a comprehensive educational resource and curriculum focused on site reliability engineering, distributed systems, and infrastructure operations. It provides technical guides, a systems engineering course, and instructional manuals designed to teach the principles of managing large-scale computing environments. The curriculum covers high-level architectural design for scalability and resilience, including fault-tolerant infrastructure, high-availability patterns, and microservices decomposition. It emphasizes the practical application of site reliability engineering through the

Akka is an actor model framework and distributed systems platform used to build concurrent and distributed applications. It provides a toolkit for managing multi-threaded state and behavior through asynchronous message passing, allowing developers to create concurrent applications without manual locks or synchronization. The system functions as a cluster management and event sourcing framework, automating the scaling and coordination of high-availability clusters. It enables the deployment of elastic services that coordinate workloads across multiple network nodes and ensures fault tolerance

CubeFS is a distributed cloud storage system designed for managing file and object storage across datacenters and hybrid clouds. It functions as a multi-tenant distributed file system and object store capable of handling data at exabyte scale, utilizing a distributed architecture to store unstructured content. The system is distinguished by a multi-protocol interface layer that allows simultaneous data access through S3, POSIX, and HDFS interfaces. It employs a decoupled compute-storage architecture to scale processing and persistence independently and implements fine-grained isolation polici

Uncloud is a decentralized container orchestrator designed to deploy and manage applications across multiple servers without a central control plane. It functions as a peer-to-peer system and a Docker Compose cluster deployer, using SSH-based infrastructure management to coordinate operations across remote nodes. The project distinguishes itself by using a secure mesh network overlay to enable direct inter-container communication across different physical machines. It facilitates container image distribution by transferring missing layers directly from local environments to target nodes, bypa

k0s is a Kubernetes distribution that packages all control plane and worker components into a single binary, enabling cluster deployment with no host dependencies beyond the Linux kernel. It supports a container-native runtime where controllers and workers run inside Docker containers using a single OCI image, and offers declarative YAML configuration for defining cluster topology, host roles, and SSH connection details. The distribution provides pre-built binaries for x86-64, ARM64, ARMv7, and RISC-V architectures, and uses cryptographically signed tokens for secure node enrollment. The proj

This project is a comprehensive infrastructure guide and technical reference for designing and deploying cloud native and AI native environments using Kubernetes. It serves as a manual for managing container orchestration, pod lifecycles, and declarative state reconciliation to maintain scalable cluster workloads. The resource provides instructional material on building custom controllers and implementing operational logic via the operator pattern. It also functions as a framework for optimizing the delivery of large language models through specialized gateways and workload scheduling. The h

TiKV is a distributed transactional key-value store designed for horizontal scalability and high availability. It functions as a storage engine that maintains massive datasets across a cluster of physical nodes, ensuring that information remains accessible and consistent even when individual hardware components fail. The system utilizes a consensus-based replication model to synchronize data across nodes, ensuring that all replicas agree on the order of operations. It manages data distribution through a sharding mechanism that partitions large datasets into smaller groups, each governed by in