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Parseable
Fast, Scalable Observability on Object Storage with AI Insights

What is Parseable?

Parseable offers a modern observability platform designed for seamless deployment across cloud, on-premises, or edge environments. Leveraging object storage systems such as S3, it provides fast ingestion and analysis of logs, metrics, and traces from any agent, delivering insights within minutes. Its AI-native integration empowers users to summarize logs, automate playbooks, and prioritize alerts.

Built for scalability, Parseable delivers up to 90% faster query performance compared to traditional solutions and significantly reduces resource usage with its Rust-based, index-free architecture. Open source and built upon open standards, Parseable ensures data control while supporting integration with a vast ecosystem of data, observability, and AI tools. Enterprise-grade features and support are available, including anomaly detection, advanced RBAC, and hardened production builds.

Features

  • AI Integration: Enables log summarization, playbook automation, and alert prioritization using machine learning and LLMs.
  • Fast Query Performance: Delivers up to 90% faster analytical queries compared to legacy systems.
  • Resource Efficiency: Uses up to 70% less CPU and memory, and achieves up to 80% data compression.
  • Open Standards: Fully open-source with open data formats, ensuring user data control.
  • Scalable Deployments: Horizontal scalability for use across clouds, data centers, or edge infrastructure.
  • Enterprise Features: Includes anomaly detection, audit logging, PII filtering, data transformation, sampling, and Kubernetes-native deployments.
  • Built-in Dashboards: Provides built-in dashboards for quick visualization and insights.
  • Robust Security: Implements advanced RBAC and hardened builds for secure, production-ready usage.
  • Ecosystem Integration: Easily integrates with 100+ big data, observability, alerting, and AI tools.

Use Cases

  • Monitoring and analyzing logs from cloud-native applications.
  • Implementing AI-powered anomaly detection and alert workflows.
  • Ingesting and querying metrics and traces for distributed systems.
  • Building secure, scalable observability solutions for enterprise infrastructure.
  • Automating incident response with smart prioritization and summarization of log data.
  • Reducing operational costs for large-scale log storage and analytics.
  • Migrating legacy observability platforms to modern, object storage-based solutions.

FAQs

  • What platforms does Parseable support for deployment?
    Parseable can be deployed across major cloud providers, data centers, and edge infrastructure, providing flexibility for various IT environments.
  • How does Parseable leverage AI for observability?
    Parseable integrates with AI infrastructure to support log summarization, build playbooks, prioritize alerts, and employ classic machine learning-based anomaly detection alongside LLM-powered debugging and visualization.
  • Is Parseable open source and are there commercial options available?
    Parseable is an open-source solution with enterprise subscriptions available, including commercial licensing, additional enterprise features, and professional support.
  • What are the key resource efficiency benefits of Parseable?
    Parseable’s Rust-based, index-free design results in up to 70% reduced CPU and memory usage and approximately 80% data compression, leading to significant cost savings.

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