Vector offers a single, lightweight binary that ingests, transforms, and routes logs and metrics to on‑prem and cloud destinations. Built in Rust, it delivers high‑throughput, low‑latency pipelines with configurable delivery guarantees and a unified configuration language, allowing DevOps and SRE teams to replace fragmented agents with a vendor‑neutral observability solution.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often rely on a patchwork of agents, scripts, and third‑party services to collect, transform, and forward logs and metrics. This fragmented approach leads to operational overhead, inconsistent data handling, and vendor lock‑in, making it hard to maintain reliable observability pipelines at scale.
Solution
Vector delivers a single, lightweight binary that consolidates log and metric ingestion, processing, and routing into one configurable pipeline. Built in Rust, it provides high throughput and low latency while remaining memory safe. Users can deploy Vector as a daemon, sidecar, or aggregator to match their architecture, and define complex data transformations with the Vector Remap Language (VRL). The platform is vendor‑neutral, offering a broad catalog of sources, transforms, and sinks that connect to on‑prem and cloud destinations without tying users to a specific provider. Clear delivery guarantees let operators balance latency, durability, and ordering according to their use case, while a single configuration file (YAML, TOML, or JSON) simplifies management and version control.
Target Audience
The primary users are DevOps, Site Reliability Engineering, and platform teams that need a performant, vendor‑agnostic observability pipeline for cloud‑native and hybrid environments.
Features
- Single‑binary, runtime‑free deployment for x86_64 and ARM64 platforms, eliminating dependency chains.
- Native Rust implementation delivering sub‑millisecond processing latency and efficient memory usage.
- Over 46 built‑in sources (e.g., Kafka, Docker logs, AWS S3, Datadog agent) and 59 sinks (e.g., Elasticsearch, CloudWatch, Axiom) covering major on‑prem and SaaS ecosystems.
- 17 programmable transforms, including VRL‑based remap, aggregation, deduplication, and Lua scripting, enabling complex enrichment and routing logic.
- Unified handling of both log and metric data models with consistent schema enforcement and type safety.
- Flexible deployment roles: daemon for host‑level collection, sidecar for containerized workloads, aggregator for centralized processing.
- Configurable guarantees (at‑least‑once, exactly‑once, ordered delivery) that can be tuned per pipeline segment.
- Secure, encrypted transport and role‑based access controls for compliance‑grade data handling.