Running an online service isn't easy. Every day you make complex decisions about how to solve problems and often there is no right or wrong answer—just different ways with different results. On the infrastructure side, you have to weigh up where everything will be hosted: on a cloud service like AWS, or in your own data centres, or a combination of the two, or any number of other options.
Open source monitoring can be quite confusing for those who haven't spent a lot of time reading about the options. At Outlyer, we track the most popular standards and then offer wire-compatible endpoints. This helps new customers migrate onto Outlyer with very little effort, and it means we don't invent yet another proprietary standard and create vendor lock-in.
At the beginning of August, we embarked on two huge projects: an in-depth AWS integration, and the first stage of our analytics features. Some customers have been beta testing these for a couple of weeks. We'll do some specific blog posts next week when they go GA.
Our Top10 Open Source Time Series databases blog has been very popular, with over 10,000 views and growing. It sat on the front page of Reddit /r/programming for a day or two and we got a bunch of traffic from HackerNews and DBWeekly. The raw data in the spreadsheet that accompanies the blog has been constantly updated ever since by a team of volunteers which now includes some of the database authors.
Today is the culmination of over a years worth of hard work (and significantly more than that for its creator Heinz). We're releasing DalmatinerDB v0.2 which is a free, highly scalable time series database built on top of Riak Core that features an expressive data model and query language.
PLEASE NOTE: in February 2017, we rebranded and changed our name from Dataloop.IO to Outlyer. Our agent is still called “dataloop agent”, and relevant code reflects the old name (Dataloop) as well. Thank you for your patience as we update everything.
We had a request today from one of our customers to look into supporting tags on StatsD metrics in Outlyer. The answer was so surprisingly easy I thought I'd do a blog post about it.
Databases are a crazy topic and it seems everyone has an opinion. The trouble is that opinions are like belly buttons: just because everyone has one it doesn’t mean they are useful for anything.
With that in mind, I decided to pen a magnum opus of my own opinions. Something I can point people to next time someone asks 'have you tried X'?
Disclaimer: Outlyer helps build DalmatinerDB, so there is a massive conflict of interest.
First Publication Date: 26th August 2016
Last Updated: 28th August 2016
We've been making our Grafana 3.0 plugin better so here's a list of the new things. They work in Outlyer today and most of this work benefits the DalmatinerDB open source database. We're aiming to polish up the Linux packages and docs for that by the end of this month.
The pull based architecture of Prometheus makes it quite hard to build a SaaS offering around it. Not many people will be either willing or able to open ports over the internet for scraping metrics. Equally, businesses based around running entire environments per customer fall more traditionally under managed services.
February 2017 update: Screenshots in this blog post carry our old name and brand, Dataloop.IO. All product functionality has remained the same. Thank you for understanding.
It has been two months since the last update blog. Everyone has been busy laying the foundation for supporting dimensional metrics with Prometheus being our first supported format.