Intelligently monitoring container and micro-services environments at scale

Container performance monitoring is vital to ensure that micro-services deliver.

As organisations take advantage of new container technology using OpenShift and Docker within a full stack, the inherent monitoring shortcomings start to ask difficult questions. The detail that a well deployed Coscale monitoring environment can provide answers.

In our experience, Coscale is an outstanding monitoring platform that enables organisations to rapidly right-size a full stack container and microservices production environment. Feedback from our customer’s is very positive and the software is easy to deploy, with a well designed and easy to use user-interface.

What Coscale say

Coscale helps address two main priorities in container environments: Creating the right-size environment to meet an organisation’s needs cost-effectively; and to avoid wasting time on false alerts.

When first specifying a container environment, with no historical data to work from, required performance capacity is unknown. Coscale quickly delivers performance monitoring data that exposes this insight and allows environments to be refined and right-sized.

With a huge amount of available data sources, deciding what to monitor and how to set appropriate thresholds is a key question to balance the risks of missing critical data against the risk of being swamped by myriad alerts. Each organisation is different and it’s vital to build knowledge of the way performance peaks and troughs represent a problem or are regularly and predicted legitimate events.

Coscale’s unique machine learning algorithm makes its anomaly detection engine a superior and intelligent way of addressing this issue. It learns over time what are genuine alerts and consequently delivers a much clearer picture of what is going on in the container and micros-services environment. Appropriately set performance thresholds that match business aims, will only create genuinely important alerts.

In addition, Coscale monitors webpage load speeds and provides insight into what is happening in real-life and the impact on the end-user experience.

Optimize container performance by avoiding false alerts

We use Coscale to help clients ‘right-size’ their container environments, scale as needed and avoid false alerts. This means they accelerate container deployments in production with confidence and gain metrics that guide them on how to achieve optimum performance

About Quru

Quru work closely with vendors to establish their presence in the UK market and promote their ongoing innovations to our client base of over 500. Our relationship with them is unrelentingly technical which allows us to fully understand the wider implications and opportunities arising when embedding solutions both into enterprise partners’ deployments and into software developed by Quru. More...