80% of Metrics are Unused
Yet you store them and pay for what you don’t use.
The dashboards are constantly slow and crashing because they can’t handle concurrent access across teams over a huge amount of data.
Fast alerting needs faster but shallow storage and exploration needs long term storage. So why treat all metrics the same?
With Levitate, you get automatic data tiering based on retention policies, just like in a data warehouse. Your data is stored in the most efficient and cost-effective manner possible, without the need for manual intervention.
Access to tiers is managed via policies and with advanced controls on which client can access which tier, you can ensure that the right data is available to the right team at the right time.
Automatic Data Tiering
Teams write time series data to a single endpoint.
All tiers have all the data, but their data retention varies.
Treat metrics as per their use case instead of treating all of them as one.
Unlocking the Power of Data Tiers
Ideal for Alert Manager, real-time, shallow consumption of data.
Ideal for quick daily trend and impact history of recent changes and fixes.
Ideal for debugging incidents, troubleshooting, and root cause analysis.
Ideal for Data Science teams for long-term data exploration and analysis.
Ideal for capacity planning, compliance, and business strategy.
Take Charge with Policies
Control the settings for concurrency, retention, and query depth via policies for data retention and access control.
Limit the active number of queries a tier can handle simultaneously. This is the most trustworthy indicator of performance.
Limit the data available in a tier - i.e. months, days, or even hours.
Limit the number of days of data allowed to be looked up for a single query. This directly impacts the number of data points or series loaded into the memory.
Do away with the toil of managing your own Prometheus
Start your monitoring journey today with Levitate. A Managed Time Series Data Warehouse that SREs trust.