Sold by: Oodle AI
Oodle is a fully managed, drop-in replacement for Prometheus, Grafana, and ELK - built for modern, AI-driven teams. You can resolve incidents 5x faster through Oodle's AI-powered, dashboard-less debugging and game-changing serverless database architecture built on top of object storage. Deploy in minutes and elevate your observability.
4.7
Overview
Oodle is the fastest and most cost-efficient observability platform. It is a fully managed, drop-in replacement for Prometheus, Grafana, CloudWatch, and ELK stack that resolves incidents 5x faster at 50% lower cost through AI-powered insights and serverless architecture built on object storage. The platform includes comprehensive metrics monitoring, log management, and Kubernetes APM with out-of-box visibility in 30 seconds. With complete compatibility for existing dashboards, alerts, and integrations, Oodle enables 1-click migration with no code changes or vendor lock-in. Enterprise-grade security with SOC2, ISO, and GDPR compliance, 99.9% uptime SLA and 24/7 support.
Highlights
- Cost-efficient: Enterprise-grade observability at the cost of open-source. Save up to 10x on your metrics, logs and APM bills, without any compromises on visibility.
- Fast: Debug faster with AI-powered Dashboard-less Debugging. Enjoy blazing-fast queries backed by our serverless architecture.
- Simple: Oodle simplifies onboarding, usage, and pricing. Our open-source compatible ingestion and visualization tools ensure seamless onboarding and migration. Oodles intuitive UI provides instant access to relevant information, while eBPF-powered metrics, logs, and APM offer comprehensive Kubernetes observability with a single command.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Pro Plan: Metrics, Logs & Traces | This plan includes up to 300 GB / day - logs and traces (30d retention) & 2M active time series / hour (90d retention). Get started with a 2 weeks free trial. | $91,000.00 |
Pro Plan: Metrics | This plan includes up to 2M active time series/hour with 90 days retention. Get started with a 2 weeks free trial. | $48,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
Monthly price for 1000 active time series/hour | For usage beyond the annual contract limits of Pro Plan | $2.00 |
Dimensions summary
You choose an annual contract plan sized to what you monitor. The Pro Plan: Metrics covers active time series per hour for metrics only. The Pro Plan: Metrics, Logs & Traces adds daily log and trace volume alongside the same time series capacity. Each plan includes a set retention period and a two-week free trial. If your metrics usage exceeds the annual contract limits, the monthly overage dimension bills you per 1,000 active time series per hour. So the two Pro plans set your committed baseline, and the overage rate handles usage above it.
Top-of-mind questions for buyers
An active time series is one metric stream reporting data during an hour. The platform samples one point per time series every 60 seconds. Each distinct combination of metric name and tags counts as one series. You are billed per 1,000 active time series per hour.
Charges do not stop when you exceed the annual contract limits. The monthly overage dimension bills you per 1,000 active time series per hour for usage beyond your committed amount. This applies to metrics usage above the Pro Plan baseline you purchased.
Two metrics apply on that plan. It includes up to 300 GB per day of logs and traces, and up to 2 million active time series per hour for metrics. High log and trace volume tends to drive cost when you ingest large data footprints daily. Heavy metrics cardinality drives cost otherwise.
oodle.ai
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
We have live support present inside our application or you can write an email to our support team on support@oodle.ai .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Customer reviews
Olaf S.
Oodle: Full-Featured O11y at the Right Price
Reviewed on May 26, 2026
Review provided by G2
What do you like best about the product?
Oodle is a full featured O11y platform for the right price point. Native OTEL and AI features are great.
What do you dislike about the product?
Only feature I am missing is parsing at runtime.
What problems is the product solving and how is that benefiting you?
Oodle is our O11y stack, helps monitor and troubleshoot our hybrid SaaS platform. Most functions at Bedrock use oodle one way or another.
Aniket K.
Oodle AI Unifies Cloud Logs with Ease
Reviewed on May 14, 2026
Review provided by G2
What do you like best about the product?
I use Oodle AI for observability across all the clouds, which includes tracing, logging, metrics, and alerts. I love that Oodle AI acts as a single point where I can see all logs from all customers, which means I don't worry about logging into different platforms or cloud providers. It provides a unified interface where I can see traces and log in, and it has some cool AI features. The dashboards in Oodle AI are very good, and I can build one in less time. I can set up alerts on these dashboards, and observe how my infrastructure and features are performing. The trace section is very detailed, especially when compared to CloudWatch. Also, the initial setup of Oodle AI was very easy, as I didn't have to change my code much and migrating existing data was simple.
What do you dislike about the product?
When we search logs using terms over a large time range, the query is slow and sometimes errors out. Though this does not happen very frequently. We cannot use database query page in Oodle as the browser freezes and we are unable to continue. Giving ability to run some queries on top of data would be very useful than having a list page.
What problems is the product solving and how is that benefiting you?
I use Oodle AI as a single point for observability, replacing separate tools like CloudWatch and Google Cloud Logging. It unifies logs, traces, and metrics across clouds, simplifying our workflow.
Suman V.
Streamlined Observability for AI worklods with exceptional support
Reviewed on Apr 23, 2026
Review provided by G2
What do you like best about the product?
We have seen close to 50% reduction in our observability costs after moving to Oodle AI, which is already a big win. But what stands out even more is how well Oodle suports our growing AI-driven workloads. As we have started relying more on AI agents, the volume of logs and telemetry has increased significantly. Oodle AI handles this seamlessly. We can log far more data without worrying about cost or performance, which directly helps us improve our AI systems faster.
What do you dislike about the product?
They are young and fast moving company, so things do ocasionally break as they ship quickly. That said, they are extremely responsive. Most issues are acknowledged and addressed within minutes over slack.
What problems is the product solving and how is that benefiting you?
Oodle AI reduces our observability costs by at least 50%, simplifies tool complexity, and enables all engineers to handle debugging. We can also log high-volume data from our AI agent and it centralizes logs and metrics, improves collaboration, and allows us to focus on building our product without worrying about observability.
Nishant C.
Efficient Incident Debugging with AI-Driven Observability
Reviewed on Apr 18, 2026
Review provided by G2
What do you like best about the product?
Oodle stands out for how well it brings logs, metrics, and alerts together in a single, developer-friendly interface. Rather than bouncing between multiple tools, I can correlate signals in one place, which has noticeably improved our debugging and incident response workflow.
The integrated AI is genuinely useful. It doesn’t just surface anomalies—it also helps interpret what they mean and suggests possible root causes. That saves a lot of time compared with manually digging through raw logs and metrics.
I’ve also found the MCP integration to be powerful for querying observability data and automating related workflows, which makes repetitive tasks much easier.
From a UI/UX perspective, the product feels clean and intuitive, and performance has been reliable even with high data volumes. On top of that, onboarding is quick, and the overall efficiency gains make it feel like a strong ROI for engineering teams.
The integrated AI is genuinely useful. It doesn’t just surface anomalies—it also helps interpret what they mean and suggests possible root causes. That saves a lot of time compared with manually digging through raw logs and metrics.
I’ve also found the MCP integration to be powerful for querying observability data and automating related workflows, which makes repetitive tasks much easier.
From a UI/UX perspective, the product feels clean and intuitive, and performance has been reliable even with high data volumes. On top of that, onboarding is quick, and the overall efficiency gains make it feel like a strong ROI for engineering teams.
What do you dislike about the product?
As the platform continues to evolve, it would be helpful to have more detailed documentation and practical examples for some of the newer AI and MCP capabilities, so developers can better understand them and fully leverage the platform’s potential.
What problems is the product solving and how is that benefiting you?
Oodle AI addresses the problem of fragmented observability by bringing logs, metrics, and alerts into a single, AI-driven workflow. Previously, debugging meant jumping between multiple tools and manually correlating data, which was both time-consuming and inefficient.
With Oodle, the integrated AI helps me quickly spot anomalies, correlate signals, and suggest likely root causes, which has significantly reduced our mean time to resolution (MTTR). As a result, our incident response has improved, and overall system reliability has benefited as well.
It also cuts down the manual effort involved in querying and analyzing data through MCP and its automation capabilities, so I can spend more time fixing issues instead of just investigating them. Overall, it has streamlined our debugging process and boosted developer productivity.
With Oodle, the integrated AI helps me quickly spot anomalies, correlate signals, and suggest likely root causes, which has significantly reduced our mean time to resolution (MTTR). As a result, our incident response has improved, and overall system reliability has benefited as well.
It also cuts down the manual effort involved in querying and analyzing data through MCP and its automation capabilities, so I can spend more time fixing issues instead of just investigating them. Overall, it has streamlined our debugging process and boosted developer productivity.
Thomas N.
Streamlined Metrics and Alert Management with Minor Hiccups
Reviewed on Apr 18, 2026
Review provided by G2
What do you like best about the product?
I use Oodle AI primarily to view metrics of applications and manage alerting. I find that the UI makes it easy to view all the different clusters and environments with just a single click. Creating and editing new dashboards and alerts is simple, with few difficulties. The integration with PagerDuty is great; I can quickly click on the Oodle link to view metrics without having to manually check each environment. I like how easy Oodle AI is to use. I can create individual panes for dashboards with any query easily, and the same simplicity applies to alerting. Different integrations, like those with PagerDuty and OpenTelemetry, are straightforward and just require an API key. There's a lot of flexibility in how I can implement my tasks, and it’s generally easy no matter what I want to do.
What do you dislike about the product?
Oodle AI can be very slow. Sometimes it takes a while for things to load, and scrolling can feel very sluggish. Another small complaint is with the PagerDuty integration; even though there's a separate warning and critical, the warning alerts as a critical. So to get around that, I had to make different notifiers for each, which is not the end of the world but it can be better.
What problems is the product solving and how is that benefiting you?
I use Oodle AI to easily view application metrics and manage alerts. It simplifies data viewing and integrates with PagerDuty, making monitoring seamless and reducing manual checks. The intuitive UI makes creating dashboards and alerts straightforward with minimal effort.