VictoriaMetrics, the fast, scalable, time series database monitoring
solution, announced the release of Managed VictoriaMetrics on AWS
Marketplace.
The release marks an exciting addition to the company’s core open source
offering, which users install, configure and optimise themselves.
Instead, Managed VictoriaMetrics allows users to leverage a ‘production ready’
version of the solution in AWS, completely maintained by the startup’s support
team. This slashes the complexity of monitoring for businesses, freeing them up
from diverting resources to DevOps tasks such as configuration, maintenance,
logs collection, software updates and backups.
Keeping monitoring simple
As demand for time-series database monitoring soars, VictoriaMetrics has
surpassed 65 million docker pulls, one million GitHub downloads, and 7,000+ GitHub
Stars for its open source solution. Large enterprises such as Adidas, Open
Cosmos and Semrush are all members of its thriving community.
However, despite the market’s willingness to embrace monitoring, the complexity
associated with installing and configuring open source solutions has been a
stumbling block for certain organisations. Many businesses lack in-house
engineering capabilities or resources to run unique installations of the
solution.
Roman Khavronenko, co-founder of VictoriaMetrics, said “Our open source model
provides businesses with the freedom to tailor our solution to their specific
needs. However, it requires dedicated teams to support, keep healthy and up to
date. A large chunk of the market wants monitoring to ‘just work’ for them from
day one – putting data in, getting data out. Through Managed VictoriaMetrics,
we remove complexity, leveraging our in-house expertise, and allowing us to
provide a more granular level of support for users”
Solving the cost of scale
As the amount of data within organisations skyrockets, the cost of scaling
monitoring is a major concern for many businesses. Managed VictoriaMetrics
builds on VictoriaMetrics’ industry leading core scalability through its
pricing structure, which offers no additional costs as throughput increases.
“Costs for the solution are easy to plan upfront, since they don’t depend on
unexpected changes in workload such as spikes in data ingestion rate, spikes in
active time series or spikes in heavy queries. The cost depends only on actual
used compute resources – the configured instance type, the requested disk size
and network egress bandwidth usage.” said Khavronenko.
Scalability lies at the heart of VictoriaMetrics’ ethos and Managed
VictoriaMetrics instances can be scaled up or scaled down in a few clicks. The
product can also be used as Managed Prometheus, seamlessly integrating with the
popular monitoring system.
