What problem does Parseable aim to solve for observability teams?
Parseable addresses the high cost and poor return on investment from tool sprawl and reactive observability stacks. The main text states that users report poor ROI due to fragmented tooling and siloed data sources, leading to rising costs and lost productive time. It provides a unified, proactive platform to predict issues before they arise.
Who is the target audience for Parseable?
Parseable is targeted at fast-growing teams, including developers and SREs who need to manage observability for their agents, apps, and systems. The homepage explicitly describes it as 'Observability infrastructure for fast growing teams.'
What key features and capabilities does Parseable offer?
Parseable offers several key features, including proactive monitoring with forecasting, smart event parsing for filtering, and dashboards with a SQL editor for data analysis. It provides unified signals, up to 90% compression, natural correlation across signals, faster queries, and a BYOC (Bring Your Own Cloud) model alongside its cloud offering.
How does Parseable compare cost-wise to other observability tools like Datadog and Splunk?
Parseable claims to be significantly more cost-effective, offering 80x lower cost than Datadog and Splunk. This is highlighted in the meta description and main text as a key advantage of its architecture, which uses open formats on object storage.
What is Parseable used for, and in what situations?
Parseable is used as an open-source telemetry datalake for unified log, metric, and trace analysis. It is an observability infrastructure designed for agents, apps, and systems, particularly for fast-growing teams. It integrates with OpenTelemetry and stores data on object stores like S3 to provide cost-efficient, full-fidelity telemetry analysis.
What is Parseable?
Parseable is an open-source observability platform that provides unified analysis for logs, metrics, and traces. It is an observability infrastructure for agents, apps, and systems, using open standards and object storage to deliver cost-efficient telemetry analysis.