Levitate

Time series database built to manage scale

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Outgrowing Prometheus with Levitate

High Cardinality

High cardinality labels are impossible to analyze, constantly crashing Prometheus. This limits the insights that can be gathered to successfully triage & resolve an incident.

Solves High Cardinality

Levitate is built to handle massive scales of data, and can handle queries at any cardinality. Above all, it gives you real-time insights into what metrics are unused

Metric storage costs

The explosion of services & infrastructure leads to the immense growth of metrics stored for monitoring. The cost of storage, amortisation, and data transfers, quickly spiral out of control.

This also results in accumulating unwanted data - nearly 60% of metrics data is unused, and most cases, useless

Pay for what you use, reduce costs

Levitate reduces storage costs by up to 50% compared to similar tsdbs. This is over and above the engineering time, & overheads spent maintaining internal infrastructure.

With Levitate data retention policies & tiered storage, you pay for metrics you use. Scale without having to tune configuration, & having to run a whole setup for data scaling.


Operational Toil

Operating Prometheus (and other time-series databases) at scale takes full-time engineering teams to manage machines, multiple instances, data retention, backup & recovery. This toil is an unimaginable hassle.

Engineering bandwidth should focus on product, and building features, not setting up Prometheus instances.

Increase engineering productivity

Levitate is fully managed. No need to worry about adding more machines, managing replication, or multiple Prometheus instances. Just change the remote-write endpoint of your one, or many tsdbs. A simple UI manages it all.

With Levitate, you can resolve incidents faster with decreased querying times, and allow engineering to focus on building product.

Compass

Transform microservice chaos into operational clarity

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Reliability to the last 9 with Compass

Death by Dashboards

Every engineer has their own custom dashboard. The dependency on tribal knowledge to understand dashboards is why every system failure is a puzzle assembling exercise.

Creating dashboards is easy, finding answers to your questions - impossible.

One ChangeBoard

Say NO to tribal knowledge. Service maps, graphs, and health insights make it easy for the whole organization to understand reliability.

One simple UI to map out your entire service infrastructure and identify service degradations.


No smart correlations

Correlations don’t exist in Grafana dashboards. Querying is already slow, and this compounds when you’re trying to identify the source of a breakdown. When you can’t correlate that to different failure points, it takes hours to solve and isolate a simple bug.

Change Intelligence

The ability to pinpoint the source of error and correlate it across cascading microservices including third party providers is powerful. This allows Compass to quickly isolate failures with ease.

With all layers of an infrastructure mapped intuitively, organisations can enable incident response processes end-to-end using Compass.


Abetting the crying wolf

Needless alerts create harmful fatigue in an org. The more trivial alerts you have, higher the chances actual system failures go unanswered.

Most alerting rules don’t account for seasonality of spikes, and further compound engineering productivity woes, and adds to chaos for on-call developers

Killing alert fatigue

With Change Intelligence, none of our customers use static alerting, because we provide anomaly detection. We factor in seasonality of spikes and determine the right alerts based on historical data.

SLO degradation: Create a ticket, don’t alert me.

SLO break: Page me, so I can fix.


SLOs/SLAs

Measuring end customer experiences starts with setting promises within engineering teams. The deeper an org understands engineering health with robust SLOs & SLAs, the deeper the commitment to functions across the org.

The promised land

Create SLOs across your teams to measure performance, drive accountability, and hold accountability across the health of the organisation - From engineering, product and customer service.

Customers we work with

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