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🏏 450 million fans watched the last IPL. What is 'Cricket Scale' for SREs? Know
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Cloud Native Monitoring

Scale Reliably, Slash Costs & Tame Data Explosion.


You’reconcerned about…

…problems with high cardinality data.


…monitoring costs being out of control.
…uptime of Prometheus infrastructure.
…irrelevant alerts and the associated alert fatigue.

…dashboards being painfully slow when needed.

And weLevitate them.


Say hello to Levitate

A Managed Time Series Data Warehouse that SREs trust.

Why We Are Different
Trusted by engineering teams, at scale





Observability is a foundational building block and can unlock much goodness —
however, it’s deviously complex to get right. The founders at Last9, aptly
named, have been amazing partners in trying to make inroads on what a solid
observability platform should be and hit most, if not all, of the building
blocks.

Akash Saxenaex-CTO


Levitate is the ultimate solution for Disney+ Hotstar’s scaling requirements —
providing a flawless user experience and uninterrupted delivery of content,
ensuring seamless streaming for its users.

750MSamples per minute
50MRead Requests per minute
1BActive Time Series
Adding to your 9s

A stitch in time saves nine. We strive to help you improve your 9s to the… Last
9.

Open Standards

We are Prometheus and OpenTelemetry compatible and work with most of the Open
Standards. No vendor lock-in. Integration in minutes.

High Cardinality

With advanced flow control, cardinality limiter and concurrency controls, never
worry about high cardinality challenges again.

Zero Toil, Fully Managed

Scaling your monitoring infrastructure should be last of your worries. With zero
management from your side, slash the TCO of monitoring tooling by 50%.

Empowering Teams

We enable engineering teams to focus on building the product right and remove
the unnecessary distractions of scaling your monitoring infrastructure and cost
worries.

Know More
From Our Stables
Understanding Cricket Scale

How does a DevOps/Site Reliability Engineer plan for "Cricket scale"? How do you
warm systems' about to witness 30+ million concurrent users?

High Cardinality? No Problem! Stream Aggregation FTW

High cardinality in time series data is challenging to manage. Learn how
streaming aggregations can rein in high cardinality using Levitate.

The neglected tech arctic winter — Internal SaaS expenses

The current tech winter has a number of glaring stories — but the money spent on
internal software tools to support tech infrastructure is bloated and can't be
ignored.

View All →

Cloud Native Monitoring

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