Operations | Monitoring | ITSM | DevOps | Cloud

Observing Kubernetes: Lessons learned building, managing & monitoring cloud native systems

This talk covers experience and thoughts about how to approach the monitoring and management of cloud-native systems. It will draw both from observations of the opportunities provided by systems like Kubernetes as well as from practical hands-on experience from building real monitoring systems. With luck it will provide both experiences from the past, and inspirations for the future.

Sensu Check Metric Extraction with InfluxDB and Grafana

Nikki Attea talks about one of the endless permutations of metrics software you can pair with Sensu. She'll show you how to collect data using Sensu check output metric extraction, transform that data with a Sensu InfluxDB Handler, store the data in an InfluxDB time series database and visualize that data on a Grafana dashboard.

Why InfluxDB is Building Flux, a new scripting and query language

The new Flux (formerly IFQL) super-charges queries both for analytics and data science. Get an overview of the language features as well as the moving parts for a working deployment. Grafana shares Flux’s passion for analytics and data science. For that reason, they are very excited to showcase the new Flux support within Grafana, and a couple of common analytics use cases to get the most out of your data.

Business Leaders Can't Afford To Wait For Insights: How Self-Service BI is Changing Data Analysis

It doesn’t matter what industry you’re in — there’s more data at your fingertips than ever before. And with that data comes an opportunity to make informed decisions that will take your business to new heights. For marketing alone, becoming best-in-class at data analytics can help you generate 20 percent more revenue than your competitors. Those benefits increase exponentially when you bring data-driven decision-making to every aspect of your business.

Elasticsearch Mapping Exceptions - The complete guide

As Elasticsearch is gradually becoming the standard for textual data indexing (specifically log data) more companies struggle to scale their ELK stack. We decided to pick up the glove and create a series of posts to help you tackle the most common Elasticsearch performance and functional issues. This post will help you in understanding and solving one of the most frustrating Elasticsearch issues – Mapping exceptions.

5 Benefits to Run Elastic Stack in the Cloud

Elasticsearch, Logstash, and Kibana — the trio better known as Elastic Stack (or ELK, if you prefer a term that is now going out of style), make up a powerful set of tools for searching and analyzing data. Their power derives not just from their technical features, but also the fact that Elastic Stack is an open source platform that anyone can download and set up anywhere.