Kevin W Monroe

4 posts

Big Data Solutions Developer

Kevin joined Canonical in 2014 with his focus set on modeling complex software. He found his niche on the Juju Big Software team where his mission is to capture operational knowledge of Big Data and Machine Learning applications into repeatable (and reliable!) solutions.

Kevin W Monroe
23 August 2018

The Road to Kubernetes & vSphere Integration

Article Cloud and server

This article on Kubernetes & vSphere integration originally appeared at Kevin Monroe’s blog Background Recently, Juju began supporting cloud-native features via “integrator” charms (e.g.: aws-integrator, gcp-integrator, openstack-integrator). These allow charms to request things like persistent storage from a cloud...

Kevin W Monroe
23 August 2018

Kevin W Monroe
16 January 2018

Monitor your Kubernetes Cluster

Article Cloud and server

This article originally appeared on Kevin Monroe’s blog Keeping an eye on logs and metrics is a necessary evil for cluster admins. The benefits are clear: metrics help you set reasonable performance goals, while log analysis can uncover issues that impact your workloads. The hard part, however, is getting a slew of...

Kevin W Monroe
16 January 2018

Kevin W Monroe
16 February 2016

Juju Big Data hits the conference scene

Article Cloud and server

Though only a few weeks into 2016, the Juju Big Data team has already been busy engaging diverse communities at conferences and meetups. We’d like to share our perspective on a few of those engagements here. SCaLE 14x / UbuCon, Jan 20-24, Pasadena This year’s Southern California Linux Expo was especially exciting as it also

Kevin W Monroe
16 February 2016

Kevin W Monroe
24 September 2015

Realtime Syslog Analytics

Article Cloud and server

As Cory alluded to in our intro post, we’re excited to talk about a bundle that demonstrates an end-to-end Big Data solution: Realtime Syslog Analytics. Working with log data is a common Big Data task, and in this post, we’ll show how this bundle enables you to ingest, process, and visualize syslog data. This gives

Kevin W Monroe
24 September 2015