​Docker container-level stats? Logentries says it has the answer

The arrival of the stats API in Docker is the cue for Logentries to offer container-level insights into usage and performance for production environments.

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With Docker 1.5 out this week, log management firm Logentries is tapping into the new release's stats API to give companies a way of collecting and viewing important data about container usage.

The cloud-based service, called Logentries Container, is designed to provide businesses with a better grasp of resources being consumed by production applications running in Docker environments.

Logentries chief scientist Trevor Parsons said the service offers Docker users a dashboard view of real-time container-level statistics.

"Additionally, the Logentries Container consumes the Docker logs and enables users to correlate the stats information alongside other system log data. Without using Logentries Container, users would have to write their own apps to consume and visualise this information from the new Docker stats API," Parsons said.

According to Logentries, the service collects and processes log events in real-time. Firms can use custom tagging and filtering to correlate data across the infrastructure to gain a better understanding of application usage and performance, security and performance issues, and user behaviour.

Docker head of business development and technical alliances Nick Stinemates said in a statement that the Logentries service's use of 1.5's stats API makes it easy for users to "collect key per-container performance statistics around CPU, memory, network and storage I/O and to analyse them to understand important information and trends".

Logentries collaborated with Docker over the development of the service, which was a joint undertaking with Node.js and Docker development firm nearForm.

Logentries has also released a Community Pack for Docker, consisting of configured searches, tags, alerts, and data visualisations. It is designed to simplify the task of aggregating, searching and analysing Docker container log data.

The company said there has been little native support for collecting logs from containers, especially at large scale. This shortcoming has limited users' ability to monitor and troubleshoot production environments.

"With access to these Docker stats, users can correlate this valuable data with other structured log data sources - for example, JSON - to produce deeper visibility into Docker environments," Logentries said.

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