UXCam empowers mobile app teams with the granular insights needed to develop empathic products. Stepping into the customers' shoes to understand their journey has never been easier with analytics that uncovers real user behavior.
The clear visuals and actionable insights on the UXCam dashboard simplify decision-making and prioritization for product teams. By democratizing access to data across organizations, we fuel your team's agility.
So how do we do it?
UXCam is a self-service mobile app analytics platform that captures micro-interaction level experience data. These product insights offer a unified visual of the end-to-end customer experience. We make customer motives and frustrations loud and clear to product teams with tools like heatmaps, funnels, session replay, crash analytics, and more.
Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.
Based on our record, Datadog should be more popular than UXCam. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is why UX analytics are essential. I have been using this tool called UXCam in my company and it has really helped me and my team to support both the UX changes we want to implement but most importantly the wins of our efforts. Source: about 2 years ago
UXCam is an all-in-one mobile app analytics solution. From session recordings to advanced crash logs, UXCam provides a comprehensive UX analytics platform for mobile product teams. It is the one-stop solution for all app performance and user behavior questions. Source: over 2 years ago
Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / 7 months ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 1 year ago
Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 3 years ago
.. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: almost 3 years ago
We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / about 3 years ago
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