# LaserData

> LaserData is a hyper-efficient data streaming platform built for AI-native, real-time, and latency-sensitive workloads.

LaserData provides managed, BYOC, and on-premise deployment models powered by Apache Iggy. This file highlights the most useful pages for understanding the product, its architecture, and how to get started.

When to use LaserData: choose it for durable low-latency streams, ordered replay, materialized real-time views, shared state or memory for agents, and infrastructure that must run managed, in your cloud, or on-premise. Use the REST API or official laser CLI for control-plane automation. Use the Laser SDK for publishing, consuming, querying, memory, context, and agent-fabric data-plane work.

Agent calling guidance: start with the OpenAPI schema for typed REST tools, keep ld-api-key credentials in a trusted executor, request JSON from the CLI with -o json, honor retryable and retry-after fields, use idempotency keys for safe retries, and obtain confirmation before destructive operations.

## Product

- [LaserData Home](https://laserdata.com/): High-level overview of LaserData, positioning, and primary calls to action.
- [Platform Overview](https://laserdata.com/platform): Control plane, deployment model, isolation, and platform architecture.
- [Technology](https://laserdata.com/technology): Rust implementation details, performance rationale, and low-latency design.
- [AI Workloads](https://laserdata.com/agent-streams): How LaserData supports AI-native and agent-driven streaming workloads.
- [Agent Primitives](https://laserdata.com/agent-primitives/log): The eight agent surfaces: durable log, views, changes, state, graph, memory, context, and fabric.
- [Connectors](https://laserdata.com/connectors): Built-in source and sink integrations for operational and analytical systems.
- [Security](https://laserdata.com/security): Security posture, network isolation, and access-control model.

## Getting Started

- [Free Tier](https://laserdata.cloud): Primary entry point for requesting access to LaserData Cloud Free Tier.
- [Documentation](https://docs.laserdata.com): Product docs, deployment guidance, concepts, and operational references.
- [Presentations](https://laserdata.com/presentations): Conference talks covering LaserData, Apache Iggy, Rust systems design, and streaming architecture.

## Developers and Agents

- [LaserData Developer Resources](https://laserdata.com/developers.md): Machine-readable guide to the REST API, OpenAPI schemas, official laser CLI, and Laser SDK.
- [LaserData OpenAPI 3.1](https://laserdata.com/openapi.json): Canonical Core API schema with stable operation IDs, typed parameters, response schemas, and authentication.
- [LaserData API Documentation](https://docs.laserdata.com/api): REST management API reference, base URLs, authentication, errors, pagination, retries, and idempotency.
- [LaserData Agent Instructions](https://laserdata.com/agent-instructions.md): When to use LaserData, how to choose API versus CLI versus SDK, and safety guidance for agents.
- [Official laser CLI](https://laserdata.com/cli.md): Install and use the signed LaserData Cloud CLI with stable JSON output for agents, CI, and scripts.
- [Laser SDK](https://docs.laserdata.com/laser-sdk): Rust, Python, and TypeScript data-plane SDK for streams, views, state, graph, memory, context, and agent fabric.

## Company

- [About](https://laserdata.com/about): Company overview, mission, and team background.
- [Blog](https://laserdata.com/blog): Product updates and technical writing from the LaserData team.
- [Careers](https://laserdata.com/careers): Current roles and the kind of systems work LaserData is hiring for.
- [Contact](https://laserdata.com/contact.md): Verified company address, telephone, and purpose-specific contact channels.

## Optional

- [Data Streaming Infrastructure for the Agent Era](https://laserdata.com/blog/data-streaming-infrastructure-for-the-agent-era): Agents turn every task into a continuous stream of context, actions, state, and telemetry. The data plane beneath them has to become faster, cheaper, and more predictable.
- [From Apache User to PMC Chair: My 20+ Year Open Source Journey](https://laserdata.com/blog/apache-user-to-pmc-chair-kranti-parisa-open-source-journey): How years of using, contributing to, and building on open source eventually led me to Apache Iggy and LaserData.
- [Trust Is Built In: Launching the LaserData Trust Center](https://laserdata.com/blog/launching-laserdata-trust-center): LaserData is now ISO/IEC 27001:2022 certified, SOC 2 Type II, and GDPR compliant, a milestone rooted in how we have built from day one.
- [Building Ultra-Performant Message Streaming](https://laserdata.com/presentations/2026/krakow/rustmeet/building-ultra-performant-message-streaming): How thread-per-core, io_uring, and zero-copy give Apache Iggy sub-ms p99+ latency, plus Viewstamped Replication.
- [Building Apache Iggy with Rust & io_uring](https://laserdata.com/presentations/2026/bengaluru/rust-india/building-apache-iggy-with-rust-io-uring): A look inside Apache Iggy's architecture and how Rust plus io_uring unlock sub-ms p99 latency and multi-GB/s throughput.
- [Fast Isn't Enough](https://laserdata.com/presentations/2026/bengaluru/rust-india/fast-isnt-enough): Why predictable tail latency matters more than headline throughput when building modern streaming infrastructure.