Levitate unlocked tenant-level observability with its high cardinality workflows at massive scale
What do you like best about the product?
- High Cardinality workflows with Streaming Aggregation helped us monitor every tenant without any significant efforts on data instrumentation
- Uptime and Reliability of the Levitate Platform
- Awesome Customer support
- It just works as expected and promised!
- Uptime and Reliability of the Levitate Platform
- Awesome Customer support
- It just works as expected and promised!
What do you dislike about the product?
Nothing to dislike.
Waiting for a new feature LAU which will help us control the data flow without any changes in the code.
Waiting for a new feature LAU which will help us control the data flow without any changes in the code.
What problems is the product solving and how is that benefiting you?
We have a massive amount of metrics generated for each of our customers. We wanted to monitor the performance of crucial business KPIs across each customer, but doing it at our scale is not everyone's cup of tea.
Levitate stood the test of scale, accuracy, and real-time monitoring with our growing business. Using High Cardinality workflows from Levitate, we accurately measured customer SLAs across dimensions such as geo region and channels. We could extract knowledge about our systems and measure customer impact proactively in real time using Levitate.
Levitate and Last9 are trusted partners in our Observability journey and have also been instrumental in pushing the boundaries of innovation in the observability landscape with us.
Levitate stood the test of scale, accuracy, and real-time monitoring with our growing business. Using High Cardinality workflows from Levitate, we accurately measured customer SLAs across dimensions such as geo region and channels. We could extract knowledge about our systems and measure customer impact proactively in real time using Levitate.
Levitate and Last9 are trusted partners in our Observability journey and have also been instrumental in pushing the boundaries of innovation in the observability landscape with us.
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