“Amazing speed, easy to use, easy to set-up, cost effective, highly recommended!”

Dig Security is a cloud data security startup of 50+ employees that provides real-time visibility, control, and protection of data assets.

• Cost-effective: Savings of $5K / month

• Storage efficiency

• Support with a great community

• Easy to use, maintain, and manage retention

• Consistent monitoring infrastructure for each cluster across multiple regions and clouds

• The ability to handle billions of time series events at any point of time

• Secure communication and data storage

• Multiple K8s clusters to monitor

We started with a Prometheus server on EKS. That worked until it didn’t. We then spent time scaling it, maintaining it, throwing more $ at it, until we stumbled across VictoriaMetrics.

What we looked for:

• Reducing costs by not using a managed solution of one of the big clouds
• Support HA / High Availability & fast recovery
• No downtime
• Having our main Prometheus using too much RAM and causing too many restarts

With VictoriaMetrics we found the following solution:

• The API is compatible with Prometheus & all standard PromQL queries work well out of the box
• Handles storage well
• Available to use in Grafana easily
• Single & small executable
• Easy & fast backups
• Better benchmarks than all the competitors
• Open source & maintained with good community

• Blazing Fast
• Easy to Set Up, Maintain & Upgrade
• Works Quickly Out-of-the-Box
• Usage in High Scale for HA
• Highly Efficient
• Cost effective, Highly recommended!
• Can serve us in the future in even bigger scales
• Seamless and doesn’t cause override-complications for our Infrastructure Team

“Collect more and more metrics, we will grow lots more still to-do”

• Median memory usage during the last 24h: 11810058240
• The average number of cpu cores used during the last 24h: 6
• The maximum number of active time series during the last 24 hours: 105385942
• Daily time series churn rate: 21387174
• The average ingestion rate over the last 24h: 153659
• The total number of datapoints: 226842200313
• The total number of entries in inverted index: 18795635692
• Data size on disk: 290057995509
• Index size on disk: 686073579091
• The average datapoint size on disk: 3.9
• The average range query rate over the last 24h: 1.45