New in Outlyer: AWS Integration

Posted by : Colin Hemmings | New Feature, AWS | 1 Comment

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.

If you have moved to the AWS Cloud, or are in the process of doing so, chances are you don’t have a great deal of time to worry about monitoring it. Now, ideally there would be an off-the-shelf solution to take this pain away. This was the aim for the AWS CloudWatch service, but we decided to go a step further. Today we are pleased to announce the release of the Outlyer AWS integration.

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#DOXLON Nov 2016 - ELK Stack & Beats, Splunk @ Strft & cgroupv2 at Facebook

Posted by : David Gildeh | DOXLON, DevOps, Docker, Linux | 0 Comments

At the November DOXLON, Facebook gave us an in-depth look into the way we have managed containers over the past 8 years, and why a complete overhaul is coming, with an entirely new control group system. Epam Systems showed us how to use the ELK stack together with Beats Plugin data shippers for system metrics, along with monitoring multiple Docker containers. Neil Chowdhury at Strft focused on how they are using Splunk and data models for collaboration, and the need for semantic logging.

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Kubernetes vs. Mesos vs. Swarm — An Opinionated Discussion

Posted by : Ivana Ivanovic | Docker Containers, DOXLON, Docker | 0 Comments

The topic of the October 2016 DOXLON Meetup was container orchestration. The goal: shed light on and compare existing technologies: Kubernetes, Mesos and Docker Swarm. The Meetup started with lighting talks about Kubernetes and Mesos in production at two large companies, Pearson and Schibsted. This was followed by a panel discussion, moderated by our CTO Steven Acreman.

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Monitoring is a Journey, Not a Destination

Posted by : David Gildeh | Monitoring Wisdom | 0 Comments

Not a lot of people know this, but our original name, Dataloop.IO, derives from the term OODA Loop (It was either that or OODA Daddy!). OODA Loop is a term I learned about in the Big Data space when we were starting out, and has really driven our thinking around how we’ve designed Outlyer to help online services become more agile and competitive through monitoring.

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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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#DOXLON October 2016 - Container Orchestration

Posted by : David Gildeh | Meetup, DevOps Exchange London, DOXLON | 0 Comments

October brought to DOXLON that hot industry topic: containers.  With three lightning talks plus an expert panel discussion, we shed light on differences between most important container orchestration technologies. 

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New Features (August, September, October 2016)

Posted by : Steven Acreman | Product Updates | 0 Comments

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.

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Time-Series Database Benchmarks

Posted by : Steven Acreman | Dalmatimer DB | 0 Comments

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.

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DalmatinerDB for Linux

Posted by : Steven Acreman | Dalmatimer DB | 1 Comment

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.

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