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.
Obsidian is a financial analytics platform for SaaS companies that assigns cost to each user action and helps you build P&L at a customer level. Obsidian is the first unit economics intelligence platform, which help you measure metrics at a customer level. This will enable you to optimise your sales, marketing, and operations.
With Obsidian you can track customer P&L, find expensive features and vendors, and look at real-time customer profiles.
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ObsidianLaunch.co's answer:
SaaS companies looking to optimise their sales, marketing, and operations by understanding their customer economics. This includes decision-makers in finance, sales, marketing, and product teams.
ObsidianLaunch.co's answer:
Obsidian Analytics is the first platform to offer unit economics intelligence specifically for SaaS companies, allowing customer-level profitability analysis and cost assignment to individual user actions.
ObsidianLaunch.co's answer:
We are the first to create unit economics intelligence, giving you
ObsidianLaunch.co's answer:
Obsidian Analytics was born as many SaaS companies struggle to accurately measure and optimise their unit economics (a problem we were struggling with before). So, we created a comprehensive, customer-centric view of profitability, enabling businesses to make informed decisions about their product, pricing, and growth strategies. By leveraging advanced analytics and integrating with existing data pipelines, Obsidian Analytics aims to empower SaaS companies with the insights they need to drive sustainable growth and profitability.
ObsidianLaunch.co's answer:
Vue for client side, databases (PostgreSQL, MongoDB), and cloud infrastructure (GCP).
Based on our record, Datadog seems to be more popular. 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.
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 / 8 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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