Quickwit on Servala

Details about the service Quickwit on Servala

Quickwit

"The Cloud-Native Search Engine for Log Management"

Overview

Quickwit is the first engine to execute complex search and analytics queries directly on cloud storage with sub-second latency. Powered by Rust and its decoupled compute and storage architecture, it is designed to be resource-efficient, easy to operate, and scale to petabytes of data. Quickwit is a great fit for log management, distributed tracing, and generally immutable data such as conversational data (emails, texts, messaging platforms) and event-based analytics.

Features

Distributed Search Architecture

  • Horizontally scalable search infrastructure

  • Fast and concurrent query execution

  • Multi-tenancy support for isolated workloads

  • Hot-warm-cold storage architecture

  • Split indexing for distributed processing

  • Distributed query execution and aggregation

Log Ingestion Excellence

  • Fast ingestion with append-only indices

  • Streaming ingest from Kafka and Kinesis

  • REST API for direct log submission

  • Concurrent batch indexing capabilities

  • Schema-on-write with flexible mapping

  • Push-based and pull-based ingestion models

Cost-Effective Storage

  • Object storage (S3, GCS, Azure) integration

  • Tiered storage for cost optimization

  • Columnar storage format for compression

  • Split files for efficient updates and queries

  • Incremental backup and restore

  • Storage lifecycle management

Query Performance

  • Fast full-text search capabilities

  • Sub-second query response on terabytes of data

  • Cost-based query optimization

  • Aggregation framework for metrics extraction

  • Time-series optimized queries

  • Filter pruning for performance gains

Durability and Reliability

  • Resilient to node failures

  • No data loss with distributed consensus

  • Consistent snapshots for backup

  • Index replication for high availability

  • Transparent recovery from failures

  • Partial update capabilities

Schema and Mapping

  • Dynamic field mapping

  • Custom tokenizers and analyzers

  • Numeric and date range queries

  • Geospatial data support

  • Multi-field mappings

  • Nested field support for structured logs

Observability Integration

  • Native OpenTelemetry compatibility

  • Prometheus metrics export

  • Jaeger and Zipkin trace indexing

  • Log correlation with traces

  • Dashboarding capabilities

  • Alerting and anomaly detection

Security Framework

  • Role-based access control

  • API key authentication

  • TLS encryption for data in transit

  • Tenant isolation mechanisms

  • Audit logging for compliance

  • Integration with identity providers

Operational Simplicity

  • UI for cluster management

  • Automated index management

  • Scaling without downtime

  • Self-healing capabilities

  • Zero-config sensible defaults

  • Resource quotas and limits

Developer Experience

  • Comprehensive REST API

  • Client libraries for multiple languages

  • CLI for administrative tasks

  • Local development environment

  • Extensive documentation and examples

  • Query DSL with SQL-like syntax

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