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Data.js is a data representation framework for Javascript. It is being developed in the context of Substance, a web-based document authoring and publishing engine. It took some inspiration from various existing libraries such as the Google Visualization API or Underscore.js.  You can report bugs and discuss features on the GitHub issues page, on Freenode IRC in the #_substance chann el, post questions to the Google Group, or send tweets to @_substance. With Data.js you can: Model your domain data using a simple graph-based object model that can be serialized to JSON. Traverse your graph, including relationships using a simple API. Manipulate and query data on the client (browser) or on the server (Node.js) by using exactly the same API. 

"Splunk Enterprise is the industry-leading platform for operational intelligence. Collect and index any machine data from virtually any source in real time. Search, monitor, analyze and visualize your data to gain new insights and intelligence. Index everything for deep visibility, forensics and troubleshooting. Work smarter as you and your team share searches and add knowledge specific to your organization. Create ad hoc reports to identify trends or prove compliance controls. Create interactive dashboards to monitor for security incidents, service levels and other key performance metrics. Analyze user transactions, customer behavior, machine behavior, security threats and fraudulent activity, all in real time."

What is Graphite? Graphite is a highly scalable real-time graphing system. As a user, you write an application that collects numeric time-series data that you are interested in graphing, and send it to Graphite's processing backend, carbon, which stores the data in Graphite's specialized database. The data can then be visualized through graphite's web interfaces. Who should use Graphite? Graphite is actually a bit of a niche application. Specifically, it is designed to handle numeric time-series data. For example, Graphite would be good at graphing stock prices because they are numbers that change over time. However Graphite is a complex system, and if you only have a few hundred distinct things you want to graph (stocks prices in the S&P 500) then Graphite is probably overkill. But if you need to graph a lot of different things (like dozens of performance metrics from thousands of servers) and you don't necessarily know the names of those things in advance (who wants to maintain such huge configuration?) then Graphite is for you.

Luna is a data processing and visualization environment built on a principle that people need an immediate connection to what they are building. It provides an ever-growing library of highly tailored, domain specific components and an extensible framework for building new ones.

"Join Elastic developer Nicholas Knize to get an introduction to Elasticsearch's geospatial capabilities. He will give you a whirlwind tour of how to use Elasticsearch to make the most of your geo data and do things like: Indexing considerations for optimizing geo-point and geo-shape based search Geo-aggregations and bucket reducers for spatial visualization and analytics Time-based indexing, aliasing, and percolation for complex space-time querying But how does Elasticsearch compare to traditional solutions for geospatial search? John Boere, CEO of Cliffhanger Solutions Inc., will share his geospatial search story, giving you insight into their setup, lessons learned, and why they chose to use Elasticsearch, Logstash, and Kibana to help utility companies manage electricity flowing through the power grid - keeping the lights on, literally."

"Envoy is a high performance C++ distributed proxy designed for single services and applications, as well as a communication bus and "universal data plane" designed for large microservice "service mesh" architectures. Built on the learnings of solutions such as NGINX, HAProxy, hardware load balancers, and cloud load balancers, Envoy runs alongside every application and abstracts the network by providing common features in a platform-agnostic manner. When all service traffic in an infrastructure flows via an Envoy mesh, it becomes easy to visualize problem areas via consistent observability, tune overall performance, and add substrate features in a single place."