I’ve been exploring DataDog for a while now, and my initial excitement has somewhat waned. At first glance, DataDog seemed like the perfect all-in-one solution for observability, but after some hands-on experience, I’m left feeling a bit underwhelmed. While there are features I appreciate, I’m questioning whether the platform truly delivers value for the cost.
Here’s a brief overview of what I’ve been using on the platform:
- Logging
- Metrics & Monitoring
- Dashboards (mainly for Kubernetes environments)
Despite these tools, something feels off. My objective was to consolidate various tools like Nagios, Munin, Graphite, and Google Logging & Monitoring into one streamlined solution. However, I’m not yet convinced that DataDog significantly outperforms my current setup.
Is anyone else experiencing similar frustrations with DataDog? Or is it just me?