monitoring Posts

Build vs. Buy (Prometheus)

Posted by : Steven Acreman | monitoring | 0 Comments

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. 

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Metrics: Nagios, Graphite, Prometheus & InfluxDB

Posted by : Steven Acreman | monitoring | 0 Comments

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.

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StatsD, Tags and Outlyer

Posted by : Steven Acreman | monitoring | 0 Comments

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.

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Cool new stuff in the Outlyer Grafana 3.0 plugin

Posted by : Steven Acreman | monitoring | 0 Comments

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.

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Hosted Prometheus

Posted by : Steven Acreman | monitoring | 0 Comments

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.

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New Features (May 2016)

Posted by : Steven Acreman | Product Updates, monitoring, Dataloop.IO, new features, Alerts | 0 Comments

Lots of updates this month including a rewritten alerts system, auto discovery, private packs, wildcard metric support and a bunch more of small changes.

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The Ultimate Guide to Monitoring Microservices

Posted by : David Gildeh | DevOps Wisdom, monitoring, Microservices, DevOps | 1 Comment

 

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Alerts Version 2

Posted by : Steven Acreman | Product Updates, monitoring, Dataloop.IO, Alerts | 0 Comments

The alerting system in Dataloop has undergone a complete overhaul over the past couple of months. Today we've released our Alerts V2.

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Package Management for Monitoring

Posted by : Steven Acreman | Product Updates, monitoring, Microservices, Dataloop.IO | 0 Comments

Grouping things up into easily deployable artifacts isn't a new concept. Most monitoring tools mature to the stage where you can import pre-baked configuration that helps speed up monitoring of services. We recently added a Packs Library to Dataloop that uses our unique plugin deployment technology to single click install monitoring for common services. On top of this we added auto-discovery to automate the installation of packs. So now you can get from no monitoring to a base coverage for your common services across thousands of hosts in a matter of minutes.

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A practical guide to alerting

Posted by : Steven Acreman | Monitoring Wisdom, monitoring, Alerts | 0 Comments

Alerts should be simple to understand and actionable when triggered. Spending lots of time fixing spammy alerts is not the most fun job in the world. Especially if you have no idea if what you are fixing is actually worth fixing.

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