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What is telemetry.dev?

telemetry.dev functions as an advanced observability platform that seamlessly integrates with OpenTelemetry, specifically tailored for AI agents and applications that utilize large language models. It empowers developers to track a variety of components, including model invocations, tool operations, data retrievals, logging, and performance metrics, all while facilitating the analysis of issues related to failures, delays, token usage, and cost forecasts. Furthermore, users are able to make comparisons between different models, service providers, and operational environments, which provides richer insights into overall performance metrics. The platform boasts built-in support for both TypeScript and Python SDKs, as well as a multitude of integrations for different providers and frameworks, in addition to standard OTLP/HTTP data ingestion methods. To prioritize data privacy and security, it features environment-specific capture controls, SDK masking techniques, and server-side redaction, which allows teams to handle sensitive information linked to prompts, responses, and telemetry data with care. This extensive range of functionalities not only optimizes the performance of AI applications but also strengthens observability within organizational frameworks, ultimately driving enhanced operational efficiency. With such capabilities, organizations can better manage and refine their AI strategies to meet evolving demands.

What is Dash0?

Engineering teams that adopt OpenTelemetry often hit the same wall: instrumentation is standardized, but the backend receiving it is not. Dash0 was built to close that gap. Every signal, whether a trace, a log record, a metric, or the resource emitting it, is stored against OpenTelemetry semantic conventions and correlated automatically. A request that ran long can be examined next to the log lines it produced and the pod it ran on, with no manual joins and no hopping between products. Ingestion happens through a standard OTLP endpoint. Nothing proprietary gets deployed, and existing instrumentation keeps working untouched. Because the wire format is open, data can be redirected to a different destination later without changes to application code. Prometheus users are treated as first-class. Full PromQL is supported, existing recording and alerting rules carry over, and Grafana dashboard definitions import directly. Cluster-level collection is handled by a dedicated Kubernetes operator covering workloads, nodes, and control plane components. Visualization runs on Perses, with dashboard, check, and alert definitions expressed declaratively and kept under version control. Investigations start broad and get narrow: heatmaps expose the shape of a latency distribution, then filters on high-cardinality attributes isolate the affected requests. Machine learning is applied to telemetry during processing rather than surfaced as a chatbot. Log AI assigns severity to records that arrive without it, discovers recurring patterns, and clusters similar entries, turning noisy third-party output into something queryable. For failing requests, the SIFT methodology structures the path from symptom to root cause. Consumption stays transparent throughout. Teams can identify which services, attributes, and log volumes are responsible for their bill and reduce them at the source, before the invoice arrives.

Media

Media

Integrations Supported

Cursor
OpenTelemetry
Amazon Bedrock
Anthropic

Integrations Supported

Cursor
OpenTelemetry
Akamai
Cilium
ClickHouse
Cline
Erlang
Fluent Bit
Google Chat
Google Cloud Platform
Java
Linkerd
Prometheus
Terraform
Terragrunt
Vercel
Windsurf Browser
ilert

API Availability

Has API

API Availability

Has API

Pricing Information

$0/month
Prices are per organization per month. Free includes 30,000 ingestion units per month, 14-day retention, 1 project, and 2 seats. Pro is $25 per month with 500,000 ingestion units, 30-day retention, 5 projects, and 5 seats. Team is $50 per month with 2 million ingestion units, 90-day retention, unlimited projects and seats, and priority support. One normalized span, OTLP log record, or metric data point counts as one ingestion unit. Paid ingestion continues beyond the listed allowances without automatic overage charges; the vendor may contact consistently high-usage customers.
Free Version

Pricing Information

$0.00 per month
Completely transparent usage based pricing
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

telemetry.dev

Company Website

telemetry.dev/

Company Facts

Organization Name

Dash0

Date Founded

2023

Company Location

United States

Company Website

www.dash0.com

Categories and Features

AI Observability

Not specified

Categories and Features

AI Observability

Not specified

AI SRE Agents

Not specified

Cloud Monitoring

Not specified

Container Monitoring

Not specified

Database Monitoring

Not specified

IT Alerting

Not specified

Log Analysis

Not specified

Log Management

Not specified

Observability

Not specified

Telemetry

Not specified

Website Monitoring

Not specified

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