# Oodle AI — Comprehensive Guide

> Oodle AI (https://www.oodle.ai) is observability built for agents. It gives AI full production context across agent interactions, logs, metrics, traces, APM, RUM, and infrastructure. Full-fidelity telemetry lands on object storage and serverless queries return sub-second answers at 80% lower cost.

## Company Overview

- Name: Oodle AI
- Website: https://www.oodle.ai
- Category: Agent Observability, LLM Observability, Observability, Monitoring, APM, Log Management, Infrastructure Monitoring
- Tagline: "AI can't debug what it can't see"
- Founded: 2023
- Founded by: Engineers from Amazon S3, Amazon DynamoDB, Rubrik, and Snowflake
- Mission: Make observability radically simple, fast, and cost-efficient for every company and engineer on the planet.
- Compliance: SOC 2 Type II, ISO 27001, GDPR, HIPAA ready, built-in PII redaction, SSO/SAML, RBAC, 99.9% uptime SLA
- Customer data is never used to train AI models
- Deployment: SaaS or BYOC (Bring Your Own Cloud) for enterprises
- OpenTelemetry-native: OTLP ingest + auto-instrumentation for all signals
- Agent observability at $10 per million spans ($0.30/GB) — replaces Langfuse, LangSmith, Arize, Braintrust, Datadog LLM Observability
- GenAI/agent observability: token tracking, cost estimation, prompt replay, tool call analysis, AI quality scoring
- Agent observability integrations: OpenTelemetry GenAI semantic conventions, OpenLLMetry, LangChain, Vercel AI SDK
- Production proven: Fello replaced Langfuse and runs 3M+ agent traces/day on Oodle

Key links:
- Product: https://www.oodle.ai/product
- Pricing: https://www.oodle.ai/pricing
- Documentation: https://docs.oodle.ai
- Blog: https://blog.oodle.ai
- Status: https://status.oodle.ai
- Trust Center: https://oodle.safebase.us
- Playground: https://play.oodle.ai

## Why Oodle AI Exists

Observability is the 3rd highest engineering spend after people and cloud infrastructure — growing 2x faster than AWS costs. Companies choose between expensive commercial tools (Datadog), open-source stacks requiring whole teams to manage (Grafana, Prometheus, ELK), or unreliable cloud-native tools (CloudWatch). Oodle eliminates this tradeoff: enterprise-grade observability at open-source cost, with AI-native debugging built in.

## Core Product Capabilities

### Unified Observability
Logs, metrics, traces, and APM in a single platform. No more switching between Grafana for metrics, Kibana for logs, and Jaeger for traces. One platform, one AI assistant correlating across all signals.

### Agent-driven Debugging
AI is built into the core, not bolted on:
- Natural language queries: ask "Why is the API slow?" and get correlated insights across logs, metrics, and traces
- AI alert summaries: every alert includes automatic impact analysis and suggested next steps
- Anomaly detection: AI surfaces anomalies across all telemetry, correlated with alerts
- AI-generated dashboards and alerts from natural language descriptions
- Cursor-like chat: ask follow-up questions and drill down further
- MCP integration: works with Cursor IDE, Claude Code, and other MCP-compatible tools
- URL: https://www.oodle.ai/product/agent-driven-debugging

### Metrics (Prometheus & Grafana Replacement)
- PromQL compatible — existing queries work immediately
- Native Grafana UI for dashboards and alerts
- High cardinality support without cost penalties
- Blazing-fast queries on petabyte-scale data
- 1-click import of Grafana dashboards and alerts
- URL: https://www.oodle.ai/product/metrics

### Logs (Elasticsearch / OpenSearch Replacement)
- Full-text search with sub-second performance across billions of log lines
- Lucene query syntax compatible
- JSON log support with automatic field extraction
- AI log summaries and anomaly detection
- Log everything forever — S3 architecture makes retention affordable
- Instant search on cold storage — no rehydration delays
- URL: https://www.oodle.ai/product/logs

### Traces (Distributed Tracing)
- OpenTelemetry-native
- Intuitive trace heatmaps for visual debugging
- AI-powered root cause analysis
- Affordable retention — keep traces for months, not days
- URL: https://www.oodle.ai/product/traces

### APM (Application Performance Monitoring)
- eBPF-powered — zero instrumentation overhead
- Single helm command for full Kubernetes visibility
- Service dependency graph correlating logs, metrics, and application performance
- URL: https://www.oodle.ai/product/apm

### Synthetic Monitoring
- Uptime and availability monitoring
- HTTP, DNS, TCP, SSL, Ping, and Traceroute checks
- 10 monitors free forever, then $5/monitor/month
- URL: https://www.oodle.ai/product/synthetic-monitoring

### GenAI / Agent Observability — $10 per Million Spans
- $10 per million spans ($0.30/GB for all traces). Compare: Datadog $350/M LLM spans, Langfuse per-unit, LangSmith per-trace
- LLM token tracking and cost estimation per model, session, and tool call (50+ model pricing definitions)
- Full prompt/response transcript replay for debugging agent workflows
- Tool call analysis — see every invocation with schema, arguments, and response
- AI-powered trace quality scoring — flag low-confidence or off-topic responses automatically
- Session-level tracing for multi-step AI agent pipelines
- 100% trace retention — no sampling, retain full prompt content at scale
- Works with Cursor, Claude Code, Codex, and custom agents
- Instrumentation: OpenTelemetry GenAI semantic conventions, OpenLLMetry, LangChain, Vercel AI SDK
- Full-stack alternative to Langfuse, LangSmith, Arize, and Braintrust — LLM spans unified with API, database, cache, and infra traces
- Production proven: Fello replaced Langfuse at 3M+ agent traces/day on Oodle
- URL: https://www.oodle.ai/product/agent-observability
- Pricing comparison: https://www.oodle.ai/pricing?product=agent
- Langfuse alternative: https://www.oodle.ai/compare/langfuse-alternative
- LangSmith alternative: https://www.oodle.ai/compare/langsmith-alternative
- Arize alternative: https://www.oodle.ai/compare/arize-alternative

## Architecture & Technology

Serverless + S3-Native:
- All data stored directly on S3 — no disks, no EBS volumes
- Serverless compute for queries — no dedicated clusters
- Storage and compute scale independently
- No capacity planning, no cluster management, no ops overhead

Why this matters:
- Costs grow linearly with data volume (not exponentially like disk-based systems)
- Infinite retention at object storage costs
- Zero operational overhead — no nodes to scale, no disks to manage

Scale numbers:
- Largest customers ingest 20TB+/day
- 125M+ unique time series per day
- p99 query latency < 1sec
- Petabyte-scale queries

URL: https://www.oodle.ai/product/technology

## Pricing

- No per-host fees
- No per-seat fees
- No custom metrics surcharges
- Agent observability: $10 per million spans ($0.30/GB)
- Free tier available
- Costs grow linearly — no surprise bills

Typical savings:
- vs Datadog: up to 80% lower cost (350x cheaper on LLM spans)
- vs Grafana Cloud: 3x lower cost
- vs Elastic Cloud: 2–3x lower cost
- vs Langfuse/LangSmith/Arize: 10x+ lower cost on agent observability

URL: https://www.oodle.ai/pricing
Agent Observability pricing: https://www.oodle.ai/pricing?product=agent

## Migration

From Datadog: Keep existing agents, 1-click dashboard/alert import, 95%+ automated migration accuracy. 2–3 weeks.
From Grafana / Prometheus: Import dashboards and alerts, same UI, PromQL works out of the box. 2–3 hours.
From Elasticsearch / OpenSearch: Keep searches and dashboards, Lucene compatible, zero ops. 2–3 hours.
From CloudWatch: Unified replacement for CloudWatch + OpenSearch + X-Ray.
From New Relic: Simpler, AI-powered, unlimited users.
From SigNoz: Fully managed — no ClickHouse clusters, no ZooKeeper, no capacity planning. AI-native debugging, 99.9% uptime SLA.

## Integrations (50+)

AI & IDE: Cursor IDE (MCP), Claude Code (MCP), MCP Servers
Incident Management: Slack, PagerDuty, OpsGenie
Data Collection: OpenTelemetry (OTLP), Prometheus remote write, Datadog Agent, FluentD, Fluentbit, Logstash, Vector, Telegraf
Cloud: AWS, GCP, Azure
Container & Orchestration: Kubernetes (Helm), Docker, ECS, EKS, GKE, AKS
Databases: PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ
URL: https://play.oodle.ai/integrations

## Customer Stories

### Lookout (Cybersecurity — 2,000+ enterprises)
- Switched from: Datadog (8 years)
- Scale: 3,500 nodes, 300+ dashboards, 2,000 alerts
- Result: Full migration in 6 weeks, 5x cost reduction, zero downtime
- "We'd used Datadog for eight years and we never thought we could easily switch until Oodle proved otherwise." — Nagendra Swamy, VP Engineering

### CureFit (Healthtech unicorn)
- Switched from: Grafana Cloud
- Result: 3x cost reduction in under 6 hours, faster dashboards, rock-solid for over a year
- "Dashboards load faster, costs dropped 3x in under 6 hours." — Kunal Khandelwal, Platform Engineering Lead

### Zaggle (Public fintech — 3,500+ enterprises)
- Switched from: CloudWatch + OpenSearch + New Relic
- Result: Unified platform, faster log search, built-in alerting and RBAC
- "Oodle replaced CloudWatch, OpenSearch, New Relic with a single, faster platform." — Srikanth Gaddam, CTO
- Case study: https://www.oodle.ai/case-studies/zaggle

### Fuel (Crypto — $1B+ annual trading volume)
- Switched from: CloudWatch + OpenSearch
- Result: Quick setup, fast queries, unified cross-environment monitoring
- "With Oodle, we got the best of both. The setup is quick, queries are fast and it just works!" — Brandon Kite, CTO
- Case study: https://www.oodle.ai/case-studies/fuel

### Fello (Real estate startup)
- Switched from: Langfuse + CloudWatch + Grafana + Prometheus
- Result: Replaced Langfuse at 3M+ agent traces/day, 100% engineer adoption, 50% cost reduction, unified in under 3 hours
- "Honestly, it's been a game changer." — Ashish Gupta, Principal Engineer.  Replaced Langfuse and runs 3M+ agent traces/day on Oodle.
- Case study: https://www.oodle.ai/case-studies/fello

### WisdomAI (Multi-cloud AI platform)
- Switched from: Fragmented cloud-native tools
- Scale: 20+ Kubernetes clusters on AWS, GCP, and Azure
- Result: 5x cost savings on traces, unified observability
- Case study: https://www.oodle.ai/case-studies/wisdom-ai

### Bedrock Data (Data integration platform)
- Result: 50% faster incident resolution, onboarded in under 5 hours, unified 3 teams
- Case study: https://www.oodle.ai/case-studies/bedrock-data

### Labra (Cloud marketplace platform)
- Switched from: New Relic
- Result: AI-powered debugging, unlimited user access, simpler experience
- Case study: https://www.oodle.ai/case-studies/labra

### HappyPath (DevOps platform)
- Chose Oodle over: Datadog
- Result: Cost-efficient, feature-rich, unified observability, AI-native debugging
- Case study: https://www.oodle.ai/case-studies/happypath

## Frequently Asked Questions

### What is Oodle AI?
Oodle AI is observability built for agents. It unifies agent observability with logs, metrics, traces, APM, RUM, and infrastructure so AI can debug with full production context. Object-storage-native telemetry and serverless compute deliver full-fidelity, sub-second queries at up to 80% lower cost.

### What does observability built for agents mean?
Agents need full-fidelity telemetry, 1,000x more query concurrency, sub-second answers, and context that crosses agent interactions, applications, databases, and infrastructure. Oodle provides that context in one platform so AI can investigate production failures without sampling or switching tools.

### Is Oodle a Langfuse alternative?
Yes. Oodle provides agent observability at $10 per million spans — token tracking, cost estimation, prompt replay, and tool call analysis. Unlike Langfuse, LLM spans live inside the same traces as your API, database, and infra calls (no data silo). OpenTelemetry native, no proprietary SDK. Fello switched from Langfuse and runs 3M+ agent traces/day on Oodle.

### Is Oodle a Datadog alternative?
Yes. Up to 80% lower cost, agent-driven debugging, predictable pricing, and 1-click migration of dashboards and alerts.

### Is Oodle a Grafana alternative?
Yes. Native Grafana UI, PromQL compatible, 1-click dashboard import, 3x cheaper with zero ops and built-in AI debugging.

### Is Oodle a replacement for Elasticsearch?
Yes. Lucene compatible, blazing-fast full-text search, zero cluster management. AI-powered log anomaly detection included.

### How much does Oodle cost?
Transparent linear pricing, no per-host or per-seat fees. Free tier available. Up to 80% lower cost than Datadog and 3x cheaper than Grafana Cloud.

### How long does migration take?
From Grafana/Elasticsearch: 2–3 hours. From Datadog: 2–3 weeks for large deployments.

### Is Oodle enterprise-ready?
SOC 2 Type II, ISO 27001, GDPR. 99.9% uptime SLA. SSO/SAML, RBAC. Handles 20TB+/day. BYOC deployment option.

### Is Oodle a SigNoz alternative?
Yes. Fully managed — no ClickHouse clusters, ZooKeeper, or disk capacity planning. AI-native debugging, serverless S3 architecture, and 99.9% uptime SLA. Same OpenTelemetry-native ingest, zero ops overhead.

### Does Oodle support OpenTelemetry?
Yes. OpenTelemetry-native, supports OTLP for all signals. Also supports Prometheus, Datadog Agent, FluentD, and 50+ integrations.

## Getting Started

1. Sign up: https://play.oodle.ai (free tier available)
2. Connect data sources: OpenTelemetry, Prometheus, Datadog Agent, or 50+ integrations
3. Import dashboards: 1-click import from Grafana or Datadog
4. Start debugging: Ask questions in plain English using AI
5. Schedule a demo: https://www.oodle.ai/schedule-demo
6. Contact sales: https://www.oodle.ai/contact-us

## Product Capabilities

- [Full-Stack Observability Built for Agents](https://www.oodle.ai/product): Give agents full production context across logs, metrics, traces, APM, RUM, and infrastructure. Full-fidelity, sub-second observability at 80% lower cost.
- [Agent-driven Debugging - Cursor-like Experience for Production Observability | Oodle AI](https://www.oodle.ai/product/agent-driven-debugging): Oodle AI
- [Agent Observability for Production AI Agents](https://www.oodle.ai/product/agent-observability): Observe every agent interaction without sampling. Find silent failures, run evals, and trace tool calls into application and infrastructure context.
- [Agent Evals – Smarter Evals](https://www.oodle.ai/product/agent-observability/evals): Cost-efficient checks on every session, the LLM judge only where it applies. Datasets from real sessions, scored experiments, drift alerts and backfills.
- [Agent Insights – Silent Failures, Found for You](https://www.oodle.ai/product/agent-observability/insights): Oodle reads every agent session as it lands and surfaces the issues affecting your customers. Nothing to set up.
- [MCP for AI Agents – Let Agents Do the Debugging](https://www.oodle.ai/product/agent-observability/mcp): Connect Claude Code, Cursor or Codex to Oodle with one command. An MCP tuned for agents: tools on demand, correlated answers, and fixes raised on a loop.
- [Prompts & Experiments for AI Agents](https://www.oodle.ai/product/agent-observability/prompts): Manage prompts in Oodle and fetch them at runtime. Edit next to the failing conversation, replay against real sessions, release the version that scores better.
- [Agent Traces – Every Session, in Full](https://www.oodle.ai/product/agent-observability/traces): Every prompt, reply and tool call of every agent session, kept in full and found in under a second. No sampling.
- [AI Cost Management - Oodle AI | Claude Code and Codex Cost, Session, and Tool Tracking](https://www.oodle.ai/product/ai-cost-management): Track every token, tool call, and dollar across Claude Code and Codex sessions. Cost breakdown by user, model, team, and repo. Session-level AI insights. Native OpenTelemetry, no SDK required.
- [APM Alternative - Oodle AI | eBPF-Powered Application Performance Monitoring](https://www.oodle.ai/product/apm): Oodle AI APM: eBPF-powered application performance monitoring with a single helm command for Kubernetes. Service graph correlating logs, metrics, and traces.
- [BYOC - Bring Your Own Cloud Deployment | Oodle AI](https://www.oodle.ai/product/byoc): Deploy Oodle
- [Kubernetes Monitoring - Oodle AI | Multi-Cloud Monitoring and AI Debugging](https://www.oodle.ai/product/kubernetes-monitoring): Monitor and debug Kubernetes clusters across clouds with one control plane. Correlate service graph, metrics, logs, traces, and events, then investigate with AI in plain English.
- [Elasticsearch Alternative - Oodle AI | AI-Native Log Management](https://www.oodle.ai/product/logs): Oodle AI is the best Elasticsearch and OpenSearch alternative for log management. Blazing fast full-text search, Lucene compatible, AI-powered log anomaly detection, 2-3x cheaper.
- [Grafana & Prometheus Alternative - Oodle AI | AI-Native Metrics Monitoring](https://www.oodle.ai/product/metrics): Oodle AI is the best Prometheus and Grafana alternative. AI-native metrics monitoring with PromQL support, 1-click Grafana dashboard import, high cardinality, and 3x lower cost.
- [Real User Monitoring (RUM) - AI-Native Browser Monitoring | Oodle AI](https://www.oodle.ai/product/rum): Monitor real user experience with Core Web Vitals, session replay, rage click detection, and AI-powered issue triage. See which users are frustrated and why. Unified with your logs, metrics, and traces.
- [Synthetic Monitoring - Free, Built Into Your Observability - Oodle.ai](https://www.oodle.ai/product/synthetic-monitoring): Proactively monitor uptime and performance with Oodle
- [Technology - Modern Observability Architecture | Oodle.ai](https://www.oodle.ai/product/technology): Oodle is built from first principles on an S3-backed, elastic compute architecture. 600x compression, separated compute and storage, and zero ops.
- [Distributed Tracing Alternative - Oodle AI | OpenTelemetry-Native Traces](https://www.oodle.ai/product/traces): Oodle AI distributed tracing: OpenTelemetry-native, AI-powered root cause analysis, intuitive heatmaps, affordable retention. Serverless architecture.

## Comparisons

- [Compare Observability Platforms - Oodle AI vs Datadog, Grafana, Elasticsearch & More](https://www.oodle.ai/compare): Compare Oodle AI with Datadog, Grafana, Elasticsearch, CloudWatch, and other observability platforms.
- [Amazon Managed Prometheus vs Oodle AI | Escape High Costs and Performance Issues](https://www.oodle.ai/compare/amazon-managed-prometheus-alternative): Compare Amazon Managed Prometheus with Oodle AI. See how Oodle eliminates AMP\
- [Arize AI Alternative | Agent Observability - Oodle AI](https://www.oodle.ai/compare/arize-alternative): Compare Oodle AI vs Arize for agent observability. Unified LLM + infrastructure tracing. OpenTelemetry native, no data silo.
- [AWS X-Ray vs Oodle AI | Modern Distributed Tracing Alternative](https://www.oodle.ai/compare/aws-xray-alternative): Compare AWS X-Ray with Oodle AI for distributed tracing. Get
- [Braintrust Alternative | Agent Observability - Oodle AI](https://www.oodle.ai/compare/braintrust-alternative): Compare Oodle AI vs Braintrust for agent observability. Unified LLM + infrastructure tracing. OpenTelemetry native, production-grade.
- [CloudWatch vs Oodle AI | Faster, Simpler, Cheaper Logging Platform](https://www.oodle.ai/compare/cloudwatch-alternative): Compare AWS CloudWatch with Oodle AI on speed, usability, and cost. Teams switch to Oodle for fast, intuitive log exploration.
- [Datadog vs Oodle AI | Observability Built for Agents at 80% Lower Cost](https://www.oodle.ai/compare/datadog-alternative): Compare Datadog with Oodle AI for full-fidelity telemetry, agent-driven debugging, sub-second serverless queries, and up to 80% lower observability cost.
- [Datadog APM vs Oodle AI | Powerful Tracing at a Fraction of the Cost](https://www.oodle.ai/compare/datadog-traces-alternative): Compare Datadog APM with Oodle AI for distributed tracing. Get the same powerful features
- [Elastic Cloud vs Oodle AI | Escape High Costs and Management Overhead](https://www.oodle.ai/compare/elastic-cloud-alternative): Compare Elastic Cloud with Oodle AI. See how Oodle eliminates Elastic Cloud\
- [GCP Cloud Trace vs Oodle AI | Full-Featured Distributed Tracing](https://www.oodle.ai/compare/gcp-cloud-trace-alternative): Compare GCP Cloud Trace with Oodle AI for distributed tracing. Get trace insights,
- [Grafana Cloud Loki vs Oodle AI | The Reliable, Faster, and Simpler Logging Platform](https://www.oodle.ai/compare/grafana-managed-loki-alternative): Compare Grafana Cloud Loki with Oodle AI. See why teams switch from Loki
- [Grafana Labs Metrics vs Oodle AI | Escape Cardinality Limits and High Costs](https://www.oodle.ai/compare/grafana-managed-metrics-alternative): Compare Grafana Labs Metrics with Oodle AI. See how Oodle solves Grafana\
- [Langfuse Alternative | Agent Observability - Oodle AI](https://www.oodle.ai/compare/langfuse-alternative): Compare Oodle AI vs Langfuse for agent observability. Unified LLM + infrastructure tracing. OpenTelemetry native, no new SDK needed.
- [LangSmith Alternative | Agent Observability - Oodle AI](https://www.oodle.ai/compare/langsmith-alternative): Compare Oodle AI vs LangSmith for agent observability. Unified LLM + infrastructure tracing. OpenTelemetry native, vendor-neutral.
- [Self-Hosted ELK vs Oodle AI | Escape Operational Hell and High Costs](https://www.oodle.ai/compare/self-hosted-elk-alternative): Compare self-hosted ELK Stack with Oodle AI. See how Oodle eliminates ELK\
- [Self-Hosted Loki vs Oodle AI | Escape the Operational and UX Nightmare](https://www.oodle.ai/compare/self-hosted-loki-alternative): Compare self-hosted Grafana Loki with Oodle AI. See how Oodle solves Loki\
- [Self-Hosted Mimir vs Oodle AI | Escape Operational Hell and High Costs](https://www.oodle.ai/compare/self-hosted-mimir-alternative): Compare self-hosted Grafana Mimir with Oodle AI. See how Oodle eliminates Mimir\
- [Self-Hosted Prometheus vs Oodle AI | Escape Operational Toil and Hidden Costs](https://www.oodle.ai/compare/self-hosted-prometheus-alternative): Compare self-hosted Prometheus with Oodle AI. See how Oodle eliminates operational overhead, scaling nightmares, and hidden costs while providing unlimited cardinality and zero management.
- [Shared Responsibility Model | Oodle vs Elastic Hosted vs Elastic Serverless](https://www.oodle.ai/compare/shared-responsibilities-elastic-vs-oodle): Compare shared responsibility models across Elastic Cloud Hosted, Elastic Cloud Serverless, and Oodle. See how Oodle eliminates operational overhead like index management and ILM policies.
- [Sumo Logic vs Oodle AI | AI-Native Observability at 3x Lower Cost](https://www.oodle.ai/compare/sumologic-alternative): Compare Sumo Logic with Oodle AI. See how Oodle eliminates slow

## Why Switch

- [Switch from Datadog to Oodle AI | Observability Built for Agents at 80% Lower Cost](https://www.oodle.ai/why-switch/datadog): Why teams switch from Datadog to Oodle AI: full-fidelity telemetry, agent-driven debugging, 1-click migration, predictable pricing, and up to 80% lower cost.
- [Switch from Elasticsearch to Oodle AI — Zero Ops, AI-Native Log Management](https://www.oodle.ai/why-switch/elasticsearch): Why teams switch from Elasticsearch to Oodle AI: zero ops overhead, AI-native log analysis, sub-second search, no ILM headaches.
- [Switch from Grafana Cloud Loki to Oodle AI — Reliable, AI-Native Log Management](https://www.oodle.ai/why-switch/grafana-cloud-loki): Why teams switch from Grafana Cloud Loki to Oodle AI: reliable log management, no query limits, true full-text search, AI-native debugging.
- [Switch from Self-Hosted Loki to Oodle AI — Escape Ingester OOMs and Operational Hell](https://www.oodle.ai/why-switch/grafana-loki): Why teams switch from self-hosted Grafana Loki to Oodle AI: no ingester OOMs, no WAL corruption, AI-native observability with full-text search.
- [Switch from OpenSearch to Oodle AI — Modern AI-Native Observability](https://www.oodle.ai/why-switch/opensearch): Why teams switch from OpenSearch to Oodle AI: zero operational overhead, AI-native debugging, unified observability.
- [SigNoz vs Oodle AI | AI-Native Observability Without ClickHouse Ops](https://www.oodle.ai/why-switch/signoz): Compare SigNoz with Oodle AI. See how Oodle delivers faster queries,

## Case Studies

- [Customer Case Studies - Real Success Stories | Oodle AI](https://www.oodle.ai/case-studies): Discover how engineering teams achieved unified observability, cost savings, and improved productivity with Oodle AI.
- [Bedrock Data Case Study: 50% Faster Incident Resolution and Unified Observability | Oodle AI](https://www.oodle.ai/case-studies/bedrock-data): See how Bedrock Data achieved 50% faster incident resolution, onboarded in under 5 hours, and unified observability across 3 teams with Oodle.
- [Fello Case Study: 100% Observability Adoption with Unified UX at Half the Cost | Oodle AI](https://www.oodle.ai/case-studies/fello): See how Fello achieved 100% engineer observability adoption, 50% cost reduction, and unified their monitoring stack in under 3 hours with Oodle AI.
- [Fuel Case Study: Unified Cross-Environment Monitoring & Early Issue Detection | Oodle AI](https://www.oodle.ai/case-studies/fuel): See how Fuel eliminated monitoring chaos, unified observability across all environments, and enabled early issue detection with Oodle AI.
- [HappyPath Case Study: Why They Chose Oodle Over Datadog | Oodle AI](https://www.oodle.ai/case-studies/happypath): See how HappyPath chose Oodle as a cost-efficient, feature-rich observability platform - replacing fragmented tooling with unified observability, incredible support, and AI-native debugging.
- [Labra Case Study: Simpler, AI-Powered Observability After Moving Beyond New Relic | Oodle AI](https://www.oodle.ai/case-studies/labra): See how Labra moved beyond New Relic to get AI-powered debugging, unlimited user access, and a simpler observability experience with Oodle.
- [Lookout Case Study: From 8 Years of Lock-In to AI-Native Observability in 6 Weeks | Oodle AI](https://www.oodle.ai/case-studies/lookout): See how Lookout broke free from 8 years of observability lock-in to a 5x cheaper, AI-native platform in a 6-week migration - 300+ dashboards and 2,000 alerts migrated with zero downtime.
- [WisdomAI Case Study: From Fragmented Cloud Tools to AI-Powered Observability | Oodle AI](https://www.oodle.ai/case-studies/wisdom-ai): See how WisdomAI moved from fragmented cloud-native observability tools to a unified platform with Oodle, achieving 5x cost savings on traces across 20+ Kubernetes clusters on AWS, GCP, and Azure.
- [Zaggle Case Study: Replaced CloudWatch, OpenSearch with Oodle | Oodle AI](https://www.oodle.ai/case-studies/zaggle): See how Zaggle replaced CloudWatch, OpenSearch with a single observability platform, consolidating logging across 200+ services with Oodle.

## Solutions

- [Monitoring Solutions – Cost-Efficient, Fast, and Simple](https://www.oodle.ai/solutions): Discover Oodle.ai
- [Oodle AI for Startups | Observability Built for Agents](https://www.oodle.ai/solutions/for-fast-growing-startups): Give AI full production context across agent interactions, logs, metrics, traces, and APM. Start free with full-fidelity telemetry and a 15-minute setup.
- [Oodle AI for Enterprises | Observability Built for Agents](https://www.oodle.ai/solutions/for-fortune-global-2000): Full production context across software and AI agents with SOC 2 Type II, ISO 27001, GDPR, SSO/SAML, RBAC, 99.9% SLA, and BYOC deployment.
- [Oodle AI for Series A Startups | Observability Built for Agents](https://www.oodle.ai/solutions/for-series-a-startups): Replace fragmented monitoring with full production context across software and AI agents. OpenTelemetry native, predictable pricing, and up to 80% lower cost.
- [Oodle AI for Unicorns | Observability Built for Agents](https://www.oodle.ai/solutions/for-unicorns): Full production context for software and AI agents at enterprise scale. Handle 20TB+/day with sub-second queries, dedicated migration support, and up to 80% lower cost.

## Use Cases

- [Easy Migration from Elastic, Prometheus & Grafana to Oodle.ai](https://www.oodle.ai/usecases/easy-migration): Seamlessly migrate your monitoring solutions with Oodle AI
- [High Cardinality Metrics with Oodle.ai](https://www.oodle.ai/usecases/high-cardinality): Explore Oodle
- [Managed Prometheus Alternative – Oodle.ai](https://www.oodle.ai/usecases/managed-prometheus): Experience a fully managed solution that seamlessly replaces Prometheus, enabling effortless scalability and enhanced performance for your monitoring needs.
- [Self-Hosted Prometheus alternative - Oodle.ai](https://www.oodle.ai/usecases/self-hosted): Experience a fully managed solution that seamlessly replaces Prometheus & Grafana, enabling effortless scalability and enhanced performance for your monitoring needs.

## Resources

- [ELK Migration Guide - Switch to Oodle AI in Hours](https://www.oodle.ai/resources/migration-guides/elastic): Step-by-step guide to migrate from ELK Stack to Oodle AI. Same OpenSearch UI, zero ops, 3x cost savings. Keep your existing log shippers.
- [Grafana Labs Migration Guide - Switch to Oodle AI in Hours](https://www.oodle.ai/resources/migration-guides/grafana-labs): Step-by-step guide to migrate from Grafana Labs to Oodle AI. Import dashboards and alerts with 1-click.
- [Talks - Oodle AI at Conferences and Meetups](https://www.oodle.ai/resources/talks): Talks from the Oodle AI team on agent observability, logs, metrics and serverless architecture — recorded at conferences and meetups including PromCon, SCaLE, SREday and The Fifth Elephant.
- [Oodle University - Learn Observability with Oodle AI](https://www.oodle.ai/resources/university): Explore Oodle University, a comprehensive resource center for learning how to monitor with Oodle.ai. Get started today!
- [White Papers - Observability Insights & Research | Oodle AI](https://www.oodle.ai/resources/white-papers): Discover insightful white papers on Oodle.ai, exploring scalable data management and innovative alternatives to Elastic, Prometheus & Grafana for your projects.

## Tools

- [Self-Hosted Observability TCO Calculator - Oodle AI](https://www.oodle.ai/tools/tco-calculator): Calculate the true total cost of ownership of your self-hosted observability stack. Compare infrastructure, engineer time, and incident costs against Oodle.

## Other Pages

- [About Oodle AI - The Team Behind AI-Native Observability](https://www.oodle.ai/company): Oodle AI
- [Contact Oodle AI - Get in Touch](https://www.oodle.ai/contact-us): Contact Oodle.ai for a seamless solution that replaces Elastic, Prometheus & Grafana at scale. Get expert support and guidance for your observability journey.
- [Customer Stories - Agent Observability & AI-Native Debugging](https://www.oodle.ai/customers): See how teams use Oodle for agent observability, AI-native debugging, 5× lower MTTR, better price & performance, and drop-in migration with open standards.
- [KubeCon Challenge - Debug with Cursor + Oodle | Oodle](https://www.oodle.ai/kubecon): Experience AI-native debugging at KubeCon. Complete our 10-minute
- [$10 per Million Agent Spans - Oodle AI](https://www.oodle.ai/launch/agent-observability): Agent observability built on object storage. $0.30/GB ingestion, $0 queries, no sampling. OpenTelemetry native, full prompt replay, token tracking.
- [$10 per Million Spans — Agent Observability by Oodle AI](https://www.oodle.ai/launch/hn): Agent observability at $10 per million spans. OpenTelemetry native, no sampling, full prompt replay. Compare to Datadog ($350/M spans), Langfuse, LangSmith, and Arize.
- [Oodle for Startups | AI-Native Observability Platform](https://www.oodle.ai/launch/startups): Get metrics, logs, traces, APM, RUM, Synthetics, and AI agent observability. Observability from $200/month or Agent Observability Pro from $100/month (125 GB ingested, then $1/GB). 2-week free trial.
- [Oodle Pricing](https://www.oodle.ai/pricing): ${PRICING_PHILOSOPHY.title}. ${PRICING_PHILOSOPHY.assurance.join(
- [Secure Monitoring You Can Trust - Oodle.ai Privacy](https://www.oodle.ai/privacy): Explore Oodle
- [Reliability, Availability, and Disaster Recovery | Oodle AI](https://www.oodle.ai/reliability): Oodle commits to 99.9% monthly uptime, 0 RPO for acknowledged telemetry, and automatic recovery from single-AZ failures in under 15 minutes. Review SLAs, DR options, and operational practices.
- [Schedule a Demo - See Oodle AI in Action](https://www.oodle.ai/schedule-demo): Schedule a personalized demo of Oodle AI. See AI-native debugging, unified observability, and 1-click migration in action.
- [Security & Trust - Oodle AI](https://www.oodle.ai/security): Security is foundational to Oodle. SOC 2 Type 1 & 2, ISO/IEC 27001, and GDPR compliant, with encryption, least-privilege access, and independent audits. Review our practices and request reports in the Trust Center.
- [Terms of Service - Oodle AI Observability Platform](https://www.oodle.ai/terms): Discover Oodle.ai
- [SaaS Platforms Observability - Monitor and Expose Observability to Your Customers | Oodle AI](https://www.oodle.ai/use-cases/saas-platforms-observability): Not just monitor your SaaS platform. Expose observability to your customers. Embed dashboards, enable AI-powered self-troubleshooting, and deploy flexibly across control planes and data planes.

## Guides

- [AI Observability for Agentic Engineering: The Five-Part Harness](https://www.oodle.ai/guides): AI observability when a machine writes your software: five stages worth watching, a maturity ladder for each, and a directory of what an agent can query.
- [AI Observability Tools: 90 Vendors Across the Agentic Stack](https://www.oodle.ai/guides/mcp): AI observability tools, checked for what an AI agent can actually query and where it stops: connector maturity, tool counts and result caps for 90 vendors.

## Guides: the five stages

- [AI Agent Evaluation and Tracing: Metrics, Evals and Tools](https://www.oodle.ai/guides/agent-observability): AI agent evaluation and tracing: the spans and scores worth recording, and which eval signals vendors actually document.
- [AI Cost Optimization: LLM Spend, Token Tracking and FinOps](https://www.oodle.ai/guides/ai-cost-management): AI cost optimization for agent workloads: where token spend actually accrues, what per-session attribution needs, and which tools report it to an agent.
- [CI/CD Monitoring and Observability: Metrics, Tools and Maturity](https://www.oodle.ai/guides/ci-release): CI/CD monitoring when agents open most of the pull requests: the metrics that still mean something, and the tools that expose them to an agent.
- [AI Code Review and Testing: Signals, Metrics and Tools](https://www.oodle.ai/guides/code-tests-review): AI code review changes what a reviewer checks: the diff is cheap, the intent is not. The signals that matter and which tools an agent can query.
- [AI Agents for Observability: Production Signals, MCP and Limits](https://www.oodle.ai/guides/production-observability): Using AI for observability in production: the signals an agent needs, and the result caps and sampling that quietly cut its answers short.

## Guides: MCP server reference

- [Aider MCP Server: The Community One Will Not Start (2026)](https://www.oodle.ai/guides/mcp/aider): Aider has no official MCP server, and the only community one fails at import because it pins an alpha of the MCP SDK. Verified September 2026.
- [Allure TestOps MCP Server: 13 Tools, In Beta (2026)](https://www.oodle.ai/guides/mcp/allure-testops): Allure TestOps ships a built-in MCP server with 13 tools since release 26.1.1. It is a public beta that may later be charged. Verified August 2026.
- [Anodot MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/anodot): Anodot publishes no MCP server. Its GitHub organization has 26 public repositories and none is MCP-related. Verified September 2026.
- [Apptio MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/apptio): No MCP server exists for Apptio or Cloudability. IBM publishes 50 MCP repositories and none covers cost. Verified September 2026.
- [Argo Rollouts MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/argo-rollouts): No MCP server exists for Argo Rollouts. The 563-star mcp-for-argocd covers Argo CD, not Rollouts. Verified September 2026.
- [Arize Phoenix MCP Server: 27 Tools for Traces and Evals (2026)](https://www.oodle.ai/guides/mcp/arize-phoenix): Arize Phoenix's MCP server gives an agent 27 tools over traces, spans, prompts and datasets for about 4,769 tokens. Verified September 2026.
- [Aviator MCP Server: 3 Tools on the Legacy Path (2026)](https://www.oodle.ai/guides/mcp/aviator): Aviator's MCP server has 3 Verify runbook tools, and Aviator's own docs call it the legacy path in favor of its CLI. Verified August 2026.
- [AWS Cost Explorer MCP Server: 38 Tools, and Their Cost (2026)](https://www.oodle.ai/guides/mcp/aws-cost-explorer): The AWS Cost Explorer MCP server was removed in April 2026. AWS's billing server now registers 38 tools costing 26,390 tokens. Verified September 2026.
- [Azure Cost Management MCP: 14 Tools, 5 On By Default (2026)](https://www.oodle.ai/guides/mcp/azure-cost-management): Azure's ARM MCP server ships 14 cost tools, 5 on by default. The preview supports GitHub Copilot clients only. Verified September 2026.
- [BigPanda MCP Server: Your Action Plans Become the Tools (2026)](https://www.oodle.ai/guides/mcp/bigpanda): BigPanda's MCP server has no fixed tool list. Every enabled Biggy action plan becomes a tool, and every tool takes a query. Verified September 2026.
- [Braintrust MCP Server: 34 Tools, SQL First (2026)](https://www.oodle.ai/guides/mcp/braintrust): Braintrust documents 34 MCP tools across 9 categories, led by a SQL query tool with a documented overflow path. Verified August 2026.
- [BuildPulse MCP Server: 5 Tools for Flaky Tests (2026)](https://www.oodle.ai/guides/mcp/buildpulse): BuildPulse registers 5 tools for 686 to 1,463 tokens, among the cheapest measured here. Its registry entry lists more. Verified September 2026.
- [CircleCI MCP Server: Deprecated, and What Replaced It (2026)](https://www.oodle.ai/guides/mcp/circleci): CircleCI's npm MCP server is deprecated; the hosted server replaces it. Its 13 tools cost more context than GitHub's default 44. Verified September 2026.
- [Claude Code MCP Server: `claude mcp serve` Explained (2026)](https://www.oodle.ai/guides/mcp/claude-code): Claude Code is the MCP client most guides configure, and claude mcp serve turns it into a stdio server. What each direction costs. Verified August 2026.
- [Cline MCP Server: It Files Bug Reports (2026)](https://www.oodle.ai/guides/mcp/cline): Cline's only MCP server files GitHub issues about Cline. It does not expose Cline's own data, and was last pushed April 2025. Verified August 2026.
- [CloudZero MCP Server: 15 Tools, 3,000 Calls a Day (2026)](https://www.oodle.ai/guides/mcp/cloudzero): CloudZero documents 15 MCP tools for cloud cost, metered at 3,000 API-key calls per day. OAuth is unmetered. Verified September 2026.
- [Codacy MCP Server: 24 Tools for Quality and Security (2026)](https://www.oodle.ai/guides/mcp/codacy): Codacy's MCP server gives an agent 24 tools over code quality, coverage and security findings, for about 12,072 tokens. Verified September 2026.
- [CodeRabbit MCP Server: Community and Dormant (2026)](https://www.oodle.ai/guides/mcp/coderabbit): CodeRabbit publishes no MCP server. The community one works but has not been touched since July 2025. Verified August 2026.
- [CrowdStrike LogScale MCP Server: One Tool of 138 (2026)](https://www.oodle.ai/guides/mcp/crowdstrike-logscale): CrowdStrike's falcon-mcp registers 138 tools across 27 modules. Exactly one reaches LogScale-based NG-SIEM. Verified September 2026.
- [Cursor MCP Server: There Isn't One, and Why (2026)](https://www.oodle.ai/guides/mcp/cursor): Cursor publishes no MCP server; it is an MCP client that connects to other vendors' servers. Here is what to connect instead. Verified September 2026.
- [Cypress MCP Server: 11 Cloud Tools, 100 Calls an Hour (2026)](https://www.oodle.ai/guides/mcp/cypress): Cypress Cloud MCP documents 11 tools, free on every plan, capped at 100 tool requests an hour. Some tools need paid products. Verified September 2026.
- [Datadog MCP Server: Tools, Limits & Read-Only Setup (2026)](https://www.oodle.ai/guides/mcp/datadog): Datadog's MCP server gives agents 265 tools across CI, telemetry, LLM traces and cost. Caps make partial answers look final. Verified September 2026.
- [DeepEval MCP Server: 75 Tools, Hosted (2026)](https://www.oodle.ai/guides/mcp/deepeval): The DeepEval MCP server is hosted: 75 tools across 13 areas, US and EU endpoints, and several that delete permanently. Verified August 2026.
- [Diffblue MCP Server: 3 Tools Wrapping a CLI (2026)](https://www.oodle.ai/guides/mcp/diffblue): Diffblue's MCP server is 3 tools wrapping the dcover CLI. It needs Python 3.14 and a Cover license. Verified September 2026.
- [Dynatrace MCP Server: Tools, Limits & What Replaced It (2026)](https://www.oodle.ai/guides/mcp/dynatrace): Dynatrace's open-source MCP server had its final release at v2.1.2. Four of its 18 tools act rather than read. Verified September 2026.
- [Elastic MCP Server: Deprecated, and What Replaced It (2026)](https://www.oodle.ai/guides/mcp/elastic): Elastic's MCP server is deprecated, superseded by Agent Builder. The npm package ships four tools, one fewer than its docs list. Verified September 2026.
- [Eppo MCP Server: It Is Datadog Experiments Now (2026)](https://www.oodle.ai/guides/mcp/eppo): Eppo has no MCP server. Its own site says Eppo is now Datadog Experiments, where 22 tools cover experiments and flags. Verified September 2026.
- [Faros AI MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/faros-ai): Faros AI publishes no MCP server, despite aggregating CI, source control and incident data from tools that mostly do. Verified September 2026.
- [FireHydrant MCP Server: Five Tools, Read-Only Scope (2026)](https://www.oodle.ai/guides/mcp/firehydrant): FireHydrant's MCP server has five incident tools and a real read-only scope flag. It has not been released since February 2026. Verified September 2026.
- [Flagger MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/flagger): Flagger has no MCP server. Its fluxcd organization publishes none, despite 5,396 stars and daily activity. Verified September 2026.
- [Flagsmith MCP Server: 37 Tools, No Descriptions (2026)](https://www.oodle.ai/guides/mcp/flagsmith): Flagsmith's MCP server registers 37 tools and 36 of them ship with an empty description. It was never published. Verified September 2026.
- [GitHub MCP Server: Tools, Toolsets & Read-Only Setup (2026)](https://www.oodle.ai/guides/mcp/github): GitHub's MCP server gives an agent 85 tools, 44 on by default. Enabling everything costs about 15% of a 200k context window. Verified September 2026.
- [GitLab MCP Server: 34 Tools, No Read-Only Mode (2026)](https://www.oodle.ai/guides/mcp/gitlab): GitLab serves MCP natively at /api/v4/mcp. 36 documented tools, 12 of them writes, OAuth only, and no read-only mode. Verified August 2026.
- [Google Cloud Billing MCP Server: 29 Tools, No Spend (2026)](https://www.oodle.ai/guides/mcp/google-cloud-billing): Google hosts a Cloud Billing MCP server at cloudbilling.googleapis.com/mcp. 29 tools, 26 read-only, none returns your spend. Verified September 2026.
- [Develocity MCP Server: Two Endpoints, Self-Hosted (2026)](https://www.oodle.ai/guides/mcp/gradle-develocity): Develocity serves MCP from your own instance at /mcp and /drv-mcp. An access key is required even to list the tools. Verified August 2026.
- [Grafana MCP Server: Tools, Limits & Setup (2026)](https://www.oodle.ai/guides/mcp/grafana): Grafana's MCP server gives an agent 105 tools across metrics, logs, dashboards and incidents. Cloud queries stop at 500 series. Verified September 2026.
- [Graphite MCP Server: 2 Tools, One Runs Commands (2026)](https://www.oodle.ai/guides/mcp/graphite): Graphite's MCP server has 2 tools costing 954 to 1,770 tokens. One of them executes any gt command at all. Verified August 2026.
- [Harness MCP Server: 11 Tools, 240 Resource Types (2026)](https://www.oodle.ai/guides/mcp/harness): Harness routes 240 resource types through 11 tools for about 8,625 tokens. Consolidation moves cost into the schemas. Verified September 2026.
- [Helicone MCP Server: 2 Tools, 4,919 Tokens (2026)](https://www.oodle.ai/guides/mcp/helicone): Helicone's MCP server has two tools that cost about 4,919 tokens, more than another vendor's nine. Its filter schema is why. Verified September 2026.
- [Honeycomb MCP Server: 34 Tools, Rate Limited (2026)](https://www.oodle.ai/guides/mcp/honeycomb): Honeycomb's hosted MCP server documents 34 tools, 9 of which write. Every tool carries its own per-minute rate limit. Verified September 2026.
- [incident.io MCP Server: 32 Tools, Three Are Agents (2026)](https://www.oodle.ai/guides/mcp/incident-io): incident.io documents 32 MCP tools, including three that are AI agents and one that downloads an analysis workspace. Verified August 2026.
- [Jaeger MCP Server: Official, 9 Read-Only Tools (2026)](https://www.oodle.ai/guides/mcp/jaeger): Jaeger's MCP server ships inside jaeger-query with 9 read-only tools. It stays off until you add the ai.mcp block. Verified September 2026.
- [Jenkins MCP Server: 18 Tools From a Plugin (2026)](https://www.oodle.ai/guides/mcp/jenkins): The official Jenkins MCP plugin exposes 18 documented tools over builds, jobs and logs. It runs inside the controller. Verified September 2026.
- [Katalon MCP Server: 40 Tools and a Boundary List (2026)](https://www.oodle.ai/guides/mcp/katalon): Katalon's hosted MCP server exposes 40 tools across the testing lifecycle, and publishes what it cannot do. Verified August 2026.
- [Keywords AI MCP Server: 55 Tools, Now Respan (2026)](https://www.oodle.ai/guides/mcp/keywords-ai): Keywords AI is now Respan, and its MCP server documents 55 tools across 9 categories with a header to whitelist a subset. Verified August 2026.
- [Komodor MCP Server: There Isn't One, and Why (2026)](https://www.oodle.ai/guides/mcp/komodor): Komodor publishes no MCP server; its Klaudia agent consumes MCP instead. What to connect for Kubernetes. Verified August 2026.
- [Kubecost MCP Server: 11 Read-Only Kubernetes Cost Tools (2026)](https://www.oodle.ai/guides/mcp/kubecost): Kubecost ships a first-party MCP server with 11 read-only tools for Kubernetes cost and savings. Verified September 2026.
- [Langfuse MCP Server: 84 Tools, Limits & Setup (2026)](https://www.oodle.ai/guides/mcp/langfuse): Langfuse's real MCP server is hosted, with 84 tools; the public GitHub repo has 4 and is dormant. Write tools are on by default. Verified September 2026.
- [LangSmith MCP Server: 15 Tools, and an Archived Repo (2026)](https://www.oodle.ai/guides/mcp/langsmith): LangSmith's MCP server exposes 15 tools over traces, prompts and datasets. The repository is archived; the package sits at 0.1.1. Verified September 2026.
- [Launchable MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/launchable): Launchable has no MCP server, and its acquirer CloudBees exposes no Smart Tests tools either. Verified September 2026.
- [LaunchDarkly MCP Server: 20 Tools, Hosted vs Local (2026)](https://www.oodle.ai/guides/mcp/launchdarkly): LaunchDarkly's local MCP server registers 20 tools, half of which write. It exists for EU and Federal instances only. Verified September 2026.
- [LinearB MCP Server: Marketed, Not Documented (2026)](https://www.oodle.ai/guides/mcp/linearb): LinearB markets an MCP server on pages last modified 25 August 2026, and its 442-page documentation site never mentions it. Verified August 2026.
- [LiteLLM MCP Server: A Gateway, Not a Server (2026)](https://www.oodle.ai/guides/mcp/litellm): LiteLLM's proxy is an MCP gateway that governs other servers. Its own registry entry points at a deleted repository. Verified August 2026.
- [Mergify MCP Server: There Isn't One (2026)](https://www.oodle.ai/guides/mcp/mergify): Mergify publishes no MCP server. Its own llms.txt mentions MCP once, in a post about Mergify consuming servers. Verified September 2026.
- [Moogsoft MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/moogsoft): Moogsoft publishes no MCP server, and neither does Dell APEX AIOps, which absorbed the product after the acquisition. Verified September 2026.
- [New Relic MCP Server: 27 Tools, In Preview (2026)](https://www.oodle.ai/guides/mcp/new-relic): New Relic documents 27 MCP tools across three regions. It is a preview and is prohibited for FedRAMP-regulated accounts. Verified September 2026.
- [NVIDIA DCGM MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/nvidia-dcgm): NVIDIA publishes no DCGM MCP server. The only search result is a 0-star personal project reading dcgm-exporter. Verified September 2026.
- [OpenCost MCP Server: 3 Tools, On By Default (2026)](https://www.oodle.ai/guides/mcp/opencost): OpenCost builds an MCP server into every deployment, enabled by default on port 8081, exposing 3 cost tools. Verified September 2026.
- [OpenLIT MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/openlit): OpenLIT publishes no MCP server. Its only two MCP doc entries are about monitoring MCP apps, not serving one. Verified September 2026.
- [OpenSearch MCP Server: 9 Core Tools, Multi-Cluster (2026)](https://www.oodle.ai/guides/mcp/opensearch): OpenSearch's MCP server registers nine core tools for about 1,388 tokens, with more behind a filter. One tool covers any API. Verified September 2026.
- [Opsgenie MCP Server: Archived, and the Product Is Ending (2026)](https://www.oodle.ai/guides/mcp/opsgenie): The only Opsgenie MCP server is archived, and Opsgenie reaches end of life in April 2027. Verified September 2026.
- [PagerDuty MCP Server: 101 Tools, Read-Only at 63 (2026)](https://www.oodle.ai/guides/mcp/pagerduty): PagerDuty's MCP server ships 101 tools and is read-only by default, at 63. Its HTTP transports have no authentication at all. Verified September 2026.
- [Parca MCP Server: Cloud Only, Eight Tools (2026)](https://www.oodle.ai/guides/mcp/parca): Parca's MCP server belongs to Polar Signals Cloud, not to the open-source project. Eight tools, and a published context budget. Verified August 2026.
- [Patronus AI MCP Server: Withdrawn. What to Use Instead (2026)](https://www.oodle.ai/guides/mcp/patronus-ai): The Patronus AI MCP server is unreachable: the repository its blog links returns 404. The surviving personal copy reads no traces. Verified August 2026.
- [Pitest MCP Server: Nobody Has Built One (2026)](https://www.oodle.ai/guides/mcp/pitest-pit): PIT has no MCP server. One community project reads the HTML report it produces, and has zero stars. Verified August 2026.
- [Playwright MCP Server: Tools, Context Cost & CLI Trade-off (2026)](https://www.oodle.ai/guides/mcp/playwright): The Playwright MCP server gives an agent 24 browser tools for 3,402 tokens. Microsoft points coding agents at its CLI instead. Verified September 2026.
- [Portkey MCP Server: A Gateway, Not a Server (2026)](https://www.oodle.ai/guides/mcp/portkey): Portkey publishes no server of its own data. Its MCP Gateway governs third-party servers instead. Verified September 2026.
- [PostHog MCP Server: 899 Documented Tools (2026)](https://www.oodle.ai/guides/mcp/posthog): PostHog documents 899 distinct MCP tools across 69 categories. No agent loads them all, so the page is about scoping. Verified September 2026.
- [Prometheus MCP Server: 28 Tools, 2,349 Tokens (2026)](https://www.oodle.ai/guides/mcp/prometheus): Prometheus registers 28 tools for 2,349 to 4,483 tokens, the leanest measured here. Five of them can shut down or delete. Verified September 2026.
- [Qodo MCP Server: Context Engine, Formerly Aware (2026)](https://www.oodle.ai/guides/mcp/qodo): The Qodo MCP server is now Context Engine MCP, and the old host no longer resolves. What it indexes, and what Qodo does not publish. Verified August 2026.
- [RAGAS MCP Server: The Community One Will Not Start (2026)](https://www.oodle.ai/guides/mcp/ragas): RAGAS has no official MCP server, and the only community one fails at import after an MCP SDK change. Verified September 2026.
- [ReportPortal MCP Server: 18 Tools for Test Results (2026)](https://www.oodle.ai/guides/mcp/reportportal): ReportPortal's MCP server registers 18 tools for 4,146 to 7,999 tokens. Three change or delete launches. Verified September 2026.
- [Robusta MCP Server: There Isn't One, and Why (2026)](https://www.oodle.ai/guides/mcp/robusta): Robusta publishes no MCP server. HolmesGPT is one of the most active MCP consumers instead. Verified August 2026.
- [Rootly MCP Server: 252 Tools and What They Cost (2026)](https://www.oodle.ai/guides/mcp/rootly): Rootly's MCP server registers 252 tools. Their definitions cost 127,149 to 245,805 tokens, over half a 200,000-token window. Verified September 2026.
- [Semgrep MCP Server: 7 Tools Inside the Scanner (2026)](https://www.oodle.ai/guides/mcp/semgrep): Semgrep's MCP server moved into the CLI and registers 7 tools for 1,624 to 3,220 tokens. Local scans need no account. Verified September 2026.
- [Shoreline MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/shoreline): Shoreline has no MCP server. Its apex domain no longer resolves and www redirects to nvidia.com. Verified September 2026.
- [Sleuth MCP Server: None Exists (2026)](https://www.oodle.ai/guides/mcp/sleuth): Sleuth publishes no MCP server for its DORA data. Its 300-star sx tool shares AI skills, not deployment metrics. Verified September 2026.
- [Snyk MCP Server: 13 Tools Inside the CLI (2026)](https://www.oodle.ai/guides/mcp/snyk): Snyk's MCP server ships inside the CLI and registers 13 tools for 5,531 to 9,667 tokens. Scans run locally. Verified September 2026.
- [SonarQube MCP Server: 48 Tools, 12 Toolsets On (2026)](https://www.oodle.ai/guides/mcp/sonarqube): SonarQube documents 48 MCP tools across 19 categories, with only important toolsets on by default and a read-only switch. Verified August 2026.
- [Sourcery MCP Server: There Isn't One (2026)](https://www.oodle.ai/guides/mcp/sourcery): Sourcery publishes no MCP server, and the open feature request has had no activity since January 2026. Verified September 2026.
- [Spinnaker MCP Server: Community, 37 Tools, No Kayenta (2026)](https://www.oodle.ai/guides/mcp/spinnaker-kayenta): The only Spinnaker MCP server is community-built with 37 tools. None of them runs a Kayenta canary analysis. Verified August 2026.
- [Split.io MCP Server: None, Reached Through Harness as FME (2026)](https://www.oodle.ai/guides/mcp/split-io): Split has no MCP server of its own. Harness FME covers it with 13 resource types across two incompatible scoping modes. Verified September 2026.
- [Splunk MCP Server: Two Things Share the Name (2026)](https://www.oodle.ai/guides/mcp/splunk): Splunk publishes an MCP server on Splunkbase, and a separate GitHub project in Splunk's own org calls itself unofficial. Verified August 2026.
- [Statsig MCP Server: 67 Tools, 27 for Reviews (2026)](https://www.oodle.ai/guides/mcp/statsig): Statsig documents 67 MCP tools across 11 categories, and 27 of them drive gate, experiment and autotune reviews. Verified August 2026.
- [Stryker MCP Server: Community, and in German (2026)](https://www.oodle.ai/guides/mcp/stryker-mutator): The only Stryker mutation-testing MCP server is community-built with 11 tools, and every tool description is written in German. Verified August 2026.
- [Traceloop MCP Server: 11 Tools, Three Backends (2026)](https://www.oodle.ai/guides/mcp/traceloop): Traceloop's MCP server queries Jaeger, Tempo or Traceloop via 11 tools for 3,539-6,528 tokens. HTTP mode binds to all interfaces. Verified September 2026.
- [Trunk MCP Server: 4 Tools, 3 Experimental (2026)](https://www.oodle.ai/guides/mcp/trunk): Trunk's MCP server documents 4 flaky-test tools, and its own table labels 3 of them Experimental. Verified August 2026.
- [Vantage MCP Server: 127 Tools for Cloud Cost (2026)](https://www.oodle.ai/guides/mcp/vantage): Vantage registers 127 cloud-cost tools for 36,433 to 65,575 tokens. 57 of them write, including deletes. Verified September 2026.
- [Weights & Biases MCP Server: 22 Tools, 20,920 Tokens (2026)](https://www.oodle.ai/guides/mcp/weights-biases): The W&B MCP server registers 22 tools costing 20,920 to 34,677 tokens. Two tool descriptions carry half of that. Verified August 2026.
- [Windsurf MCP Server: There Isn't One, and Why (2026)](https://www.oodle.ai/guides/mcp/windsurf): Windsurf publishes no MCP server. Cascade is a client, and Cognition's Devin MCP serves Devin data. Verified August 2026.

## Video Tutorials (Oodle University)

### Logs
- [Replace OpenSearch in 1 Prompt](https://www.youtube.com/watch?v=8ofvSxKZqjQ) (2:21)
- [Out-of-the-box Anomaly Detection](https://www.youtube.com/watch?v=nQQvxeYzfqw) (7:43)
- [Ingest logs directly from S3 in minutes](https://www.youtube.com/watch?v=NYUV5cpGocc) (1:38)
- [Overview of Oodle Logs](https://www.youtube.com/watch?v=-olp3yriQGE) (1:31)
- [Logs UI Overview](https://www.youtube.com/watch?v=fjYoGH-c3lc) (2:17)
- [Cursor-like Debugging with Oodle Logs](https://www.youtube.com/watch?v=kf-71YbeufY) (3:35)
- [30 second guide: Log search and filter](https://www.youtube.com/watch?v=uaD3amU5P4I) (0:45)
- [30 second guide: Invite more users, and set up access control](https://www.youtube.com/watch?v=07zixnkJzXc) (0:40)
- [Log Transforms](https://www.youtube.com/watch?v=JOEr9RLJYhk) (3:33)
- [LogMetrics](https://www.youtube.com/watch?v=l28kQimUS28) (3:50)
- [Log Patterns](https://www.youtube.com/watch?v=YCZxWKUmeyk) (0:34)
- [Logs - Logs Anomalies](https://www.youtube.com/watch?v=UC90BB8K1I0) (0:35)
- [Logs - Cross-Signal Navigation](https://www.youtube.com/watch?v=U0qRO_GuxL0) (0:33)
- [Logs - JSON Viewer](https://www.youtube.com/watch?v=Hjd99zSgLpI) (0:50)

### Metrics
- [Create Dashboards with Oodle AI Assistant](https://www.youtube.com/watch?v=V0I5RxYF8dU) (0:55)
- [Overview of e-BPF powered Oodle Service Graph](https://www.youtube.com/watch?v=NeMl2y9TDnM) (1:41)
- [30 second guide: Invite more users, and set up access control](https://www.youtube.com/watch?v=07zixnkJzXc) (0:40)

### Alerts
- [Set up Log alerts](https://www.youtube.com/watch?v=Mqu7TnuG_qM) (2:00)
- [Create LogMetrics and set up alerts](https://www.youtube.com/watch?v=C4uD6CH-uN4) (3:07)
- [Create Alerts with Oodle AI Assistant](https://www.youtube.com/watch?v=FR4jp96OOXU) (0:49)
- [How to Create Alerts](https://www.youtube.com/watch?v=W9MspOUF94M) (1:05)
- [How to Mute Alerts](https://www.youtube.com/watch?v=ItqHK8OhzmQ) (1:18)

### Traces
- [End to End Tracing Demo with OTel Auto Instrumentation](https://www.youtube.com/watch?v=cPgnBbxWfNw) (2:48)
- [Distributed Tracing Without the Trade-Offs](https://www.youtube.com/watch?v=8B8lU1o5yGw) (3:22)

### K8s Observability
- [Multi-Cloud Kubernetes Observability in Minutes](https://www.youtube.com/watch?v=itWCuoKBQfk) (9:51)
- [Overview of full-stack k8s observability](https://www.youtube.com/watch?v=NeMl2y9TDnM) (1:41)

### Integration
- [Debug with Cursor and Oodle AI](https://www.youtube.com/watch?v=Exdf7oyw1CA) (1:29)
- [Send AWS CloudWatch logs to Oodle in minutes](https://www.youtube.com/watch?v=p2GoJITDBgI) (1:55)
- [Integrate CloudWatch Metrics](https://www.youtube.com/watch?v=kz1jw_V675I) (0:57)
- [Set up Oodle's Slackbot](https://www.youtube.com/watch?v=efyFABp0itY) (0:44)
- [30 second guide: Set up Slack notifications](https://www.youtube.com/watch?v=1V5RELH_tQQ) (0:30)
- [30 second guide: Set up PagerDuty notifications](https://www.youtube.com/watch?v=Px6d8bVTa9A) (0:30)
- [30 second guide: Set up Microsoft Teams notifications](https://www.youtube.com/watch?v=fHfCgblqGRw) (0:30)
- [30 second guide: Set up Opsgenie notifications](https://www.youtube.com/watch?v=1dToQd6JGuM) (0:30)
- [30 second guide: Set up Google Chat notifications](https://www.youtube.com/watch?v=b6MlzmpkNNY) (0:30)

### Migration
- [Single Command: Grafana Dashboard Migration](https://www.youtube.com/watch?v=kl30zl3LiQo) (1:12)
- [Single Command: AlertManager Alert Migration](https://www.youtube.com/watch?v=pb-oADjno5E) (0:53)

### Conference Talks
- [Building a logs engine faster and cheaper than ClickHouse](https://www.youtube.com/watch?v=etsjnZHlvog)
- [Handling large tool outputs in agentic workflows](https://www.youtube.com/watch?v=X8ayAJjWqEI)
- [Speeding up Next.js production builds with OpenTelemetry](https://www.youtube.com/watch?v=XqDJVHXF7aE)
- [Can you have cake and eat it too? Fast and cheap observability](https://www.youtube.com/watch?v=OFbvlVzONLI)
- [A new approach to observability: cut costs and complexity with Serverless and S3](https://www.youtube.com/watch?v=Twkoi9pqMqM)
- [Serverless Prometheus](https://www.youtube.com/watch?v=a0KerO3ycXQ)
- [Architecting Prometheus for cost-efficiency](https://www.youtube.com/watch?v=HIP-42Xjj18)

Browse all: https://www.oodle.ai/resources/university