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Time Series Database
Streaming Aggregation vs Recording Rules
Streaming Aggregation and Recording Rules are two ways to tame High Cardinality. What are they? Why do we need them? How are they different?
Observability—OSS vs Paid vs Managed OSS
The Reliability industry needs a managed, non-vendor lock-in answer to spiraling costs, high cardinality and the toil of managing a tsdb
Reliability Engineering for Dummies: ELI5
Explaining Reliability Engineering to a 5-year-old.
Mohan Dutt Parashar
Observability is dead, long live observability
No tool can magically offer you 99.999s. Observability is largely about the basics. And basics are boring. But, boring is hard. Boring is battle tested.
Introducing Levitate: ‘uplifting’ your metrics woes because self-management sucks like gravity
Managing your own time series database is painful. We’ve moved from servers to services, and yet, monitoring metrics data is primitive. Our managed time series database powers mission-critical workloads for monitoring, at a fraction of the cost.
Self-managed Prometheus vs Managed Prometheus
What are the differences between Self-managed Prometheus vs Managed prometheus? How do you choose what works for you?
Prometheus vs InfluxDB
What are the differences between Prometheus and InfluxDB - use cases, challenges, advantages and how you should go about choosing the right tsdb
Sample vs Metrics vs Cardinality
When dealing with Time Series databases, I always got confused with Sample vs Metrics vs Cardinality. Here’s an explanation as I have understood it.
Comparing Popular Time Series Databases
A comparison of all the popular time series databases. Prometheus, Influx, M3Db, Levitate.