Parseable

Parseable is an open-source observability data lake purpose-built for logs, metrics, and traces. Written in Rust and storing data as Apache Parquet on local disk or object storage, it ingests high-volume telemetry while keeping query performance fast through smart caching, columnar layout, and partition pruning. By replacing the traditional inverted-index logging stack with a columnar data lake, Parseable offers cost-efficient retention without sacrificing query speed, making it a practical alternative to expensive SaaS observability platforms and heavyweight self-hosted clusters.

Common Use Cases

Platform and SRE teams use Parseable as the central log and trace backend for microservice deployments, ingesting telemetry from Kubernetes clusters and edge nodes through OpenTelemetry collectors and querying it with SQL across any time range. Application engineers stream production logs from web services, background workers, and serverless functions into Parseable to debug incidents, profile slow endpoints, and audit user activity. Security and compliance teams retain authentication logs, audit trails, and network events for long horizons at low cost, taking advantage of Parquet compression and tiered storage. Data and analytics teams treat Parseable as a queryable telemetry warehouse, joining log streams with business metrics and exporting aggregates to BI tools.

Key Features

• High-throughput HTTP ingestion API with optional OpenTelemetry protocol support for logs, metrics, and traces
• Columnar Apache Parquet storage delivering fast analytical scans and aggressive compression versus raw JSON or text
• Built-in SQL query engine with full ANSI SQL semantics for slicing telemetry across streams and time ranges
• Interactive dashboards and saved queries managed directly inside the Parseable UI without an external visualization layer
• Threshold and rate-based alerts with webhook delivery for integrating into incident response and on-call workflows
• Role-based access control with scoped permissions on streams, tenants, and management endpoints
• Smart cache and hot-tier configuration that keep recent data fast to query while older partitions stay compressed on disk
• Pluggable storage backends including local filesystem, S3-compatible object stores, Azure Blob, and Google Cloud Storage
• Stream-level retention policies, schema enforcement, and dataset-level field statistics for governance and observability hygiene
• OAuth2 and OpenID Connect integration for single sign-on with existing identity providers
• Lightweight single-binary deployment in Rust with low memory and CPU footprint compared to JVM-based logging platforms
• REST and SDK access for programmatic ingestion, querying, and management automation

Why deploy Parseable on Hostinger VPS

Running Parseable on a Hostinger VPS gives you a private, fully controlled observability backend without paying per-GB ingestion fees that SaaS log platforms typically charge. Dedicated CPU, memory, and disk on a VPS let Parseable handle large ingestion bursts and long retention windows while keeping query latency predictable. Because telemetry data often contains sensitive request payloads, customer identifiers, or compliance-relevant audit trails, hosting the data lake on infrastructure you own keeps it inside your trust boundary instead of streaming it to a third party. The single-binary Rust runtime means resource usage stays modest even on small plans, and disks can be scaled up as data volume grows. Combined with Traefik-based HTTPS routing, scheduled snapshots, and direct shell access, a Hostinger VPS is an ideal host for a self-hosted observability stack that needs to be both fast and durable.