Bleemeo has integrated the Amazon Web Services (AWS) Technology Partner program in February in order to get a closer relationship with the leader of Cloud Infrastructure market and as we released at the same time integration with AWS: CloudWatch metrics can be displayed in Bleemeo dashboards and alerting can use CloudWatch metrics.
This year, and for the second time in a row, Bleemeo has supported a team of INP Toulouse (the engineering school of two of our founders) during the EDHEC Sailing Race. This year the race was in Arzon in French Britany. During the race, we provideed them a tracker composed of a Raspberry Pi and a GPS antenna. Then, all along the race, it was reporting data in Bleemeo and we were displaying the boat data on a map. This is an example of how to report business metrics in your monitoring system with Bleemeo.
We are happy to announce today that Bleemeo's smart agent has been accepted into the Docker Certification Program, a framework for partners to integrate and certify their technology to the Docker Enterprise Edition (EE) commercial platform. Starting today, our agent is now listed on the Docker Store as a "Docker Certified Container".
Last week-end, we were attending FOSDEM, in Brussels for one of the largest and maybe the largest open source conference over the world with about 8000 attendees from all over the world. Here is our recap.
During PyconFR 2016 in Rennes, a yearly conference of French Python developers, our team give a talk about lessons learned building a public API using Django REST framework.
In this article, we will explain how we are using Rocket.chat as our internal chat and how we deploy this tool.
At Bleemeo, as many geeks, we use a couple of tools on a day to day basis. Most of those tools are small Open Source web applications and, to be trendy, we deploy those tools with Docker. In the past, we used to create a virtual machine per service, deploy the tool and configure web server on each machine. Moreover if you are using https, you need to deploycertificates and private keys on each server. With Docker, we have created a simpler architecture we can more easily test on our laptops and more easily deploy.
So, we are building a new monitoring solution. There is already on the market a couple of solutions, among others: Nagios, Munin, Cacti and more recently Graphite are commonly used. You can find on James Turnbull blog the details of his last year survey: http://kartar.net/2014/11/monitoring-survey---tools/ (this year survey is still in progress, feel free to participate: http://kartar.net/2015/06/monitoring-survey-2015/)