Oodle AI - Observability Platform

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.

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.

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.

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.

What do you like best about the product?

What I like most about Oodle AI is how quickly it helps me get to the root of issues. The log visibility and alerting feel more focused, which makes day-to-day monitoring a lot more efficient.

What do you dislike about the product?

At times, navigating large volumes of logs can feel a bit slow or less responsive than expected.

What problems is the product solving and how is that benefiting you?

Oodle AI helps cut through the noise in logs and makes it easier to identify real issues quickly. This has reduced the time I spend debugging and improved how fast I can respond to incidents.

What do you like best about the product?

It has proper logging as per service and we can create our own dashboards as per the need.

What do you dislike about the product?

Nothing for now, all felt good only, will put review if found anything.

What problems is the product solving and how is that benefiting you?

It's similar to claude