Oztam provides solutions to broadcasters throughout Australia collecting and analyzing digital television viewing data. The need to deliver strategy quickly and efficiently to broadcasters while logging hundreds of millions of events daily across many different technology devices, users, and pieces of content led Oztam to the Elastic Stack.

Elasticsearch skills are in high demand, and there's no better way to prove you're an expert than becoming an Elastic Certified Engineer.

In this meetup, we will highlight a few of the many: Canvas, Rollups, Machine Learning, etc. We will also talk about the evolution of the Elastic Stack into new solutions areas with the launch of new products such as APM and App Search. 6.3 has just arrived, with a ton of features and major changes. Come learn about new features around SQL, Rollups, App Search, Kubernetes, and APM.

Monitor your applications and container infrastructure in a Kubernetes environment with the Elastic Stack.

Elasticsearch Service is a hosted Elasticsearch solution from Elastic. Elasticsearch Service makes it easy to deploy and manage your Elasticsearch clusters. Just tell us the size of your cluster, your preferred cloud provider, and the geographic location; we take care of the rest.

Kibana 6.3 has many new features like Kuery autocomplete, chained input controls, an index management UI, and more. Here are a few of of our favorites.

Combining logs, metrics, and metadata from Docker, Kubernetes, and your application all in Elasticsearch and visualized with Kibana. Make hard things simple with the Elastic Stack.

It Catches What You Might Miss, All by Itself. Complex, fast-moving datasets make it nearly impossible to spot infrastructure problems, intruders, or business issues as they happen using rules or humans looking at dashboards.

Automatically Model the Complexity of the Real World. Skip defining rules, specifying thresholds, or manually building out statistical models. Our machine learning features make it easy to start identifying anomalies. Just describe the data you're interested analyzing (requests per second) and what other properties might influence it (server, IP, username), and that's it.