Splunk is the leading platform for machine data analytics with over 5,200 organizations using Splunk (as of 7/1/13) – from tens of GB to many tens of TBs of data PER DAY.
Splunk software is optimized for real-time, low latency and interactivity.
Splunk software reliably collects and indexes all the streaming data from IT systems and technology devices in real-time - tens of thousands of sources in unpredictable formats and types.
The value from Splunking machine data is described as Operational Intelligence. This enables organizations to:
1. Find and fix problems dramatically faster 2. Automatically monitor to identify issues, problems and attacks 3. Gain end-to-end visibility to track and deliver on IT KPIs and make better-informed IT decisions 4. Gain real-time insight from operational data to make better-informed business decisions
Developers can use the Splunk SDKs to: - Run real-time searches and retrieve Splunk data from line-of-business systems like Customer Service applications - Integrate data and visualizations (charts, tables) from Splunk into BI tools and reporting dashboards - Build mobile applications with real-time KPI dashboards and alerts powered by Splunk - Log directly to Splunk from remote devices and applications via TCP, UDP and HTTP - Build customer-facing dashboards in your applications powered by user-specific data in Splunk - Manage a Splunk instance, including adding and removing users as well as creating data inputs from an application outside of Splunk - Programmatically extract data from Splunk for long-term data warehousing
Developers can EXTEND the power of Splunk software with programmatic control over search commands, data sources and data enrichment.
Splunk Enterprise offers search extensibility through: - Custom Search Commands - developers can add a custom search script (in Python) to Splunk to create own search commands. To build a search that runs recursively, developers need to make calls directly to the REST API - Scripted Lookups: developers can programmatically script lookups via Python. - Scripted Alerts: can trigger a shell script or batch file (we provide guidance for Python and PERL). - Search Macros: make chunks of a search reuseable in multiple places, including saved and ad hoc searches.
Splunk also provides developers with other mechanisms to extend the power of the platform. - Data Models: allow developers to abstract away the search language syntax, making Splunk queries (and thus, functionality) more manageable and portable/shareable. - Modular Inputs: allow developers to extend Splunk to programmatically manage custom data input functionality via REST.
Deploying web apis on core clr to docker
Who am I
“I should be
What is Splunk?
Any Machine Data
THE SPLUNK DEVELOPER PLATFORM
Build Splunk Apps Extend and Integrate Splunk
.NET Core CLI tools
dnvm – install and manage .NET versions
dnu – restore packages and build
dnx – execute code, work with EF
dotnet – build a console based app.
New light-weight and modular HTTP request pipeline
Ability to host on IIS or self-host in your own process
Built on .NET Core, which supports true side-by-side app
Ships entirely as NuGet packages
Integrated support for creating and using NuGet packages
Single aligned web stack for Web UI and Web APIs
Cloud-ready environment-based configuration
Built-in support for dependency injection
New tooling that simplifies modern web development
Cross-platform, supports Windows, Mac and Linux!
Open source and community focused
Docker Engine – Docker software which hosts containers
Container – A lightweight and isolated environment where
Image – A package of software which is loaded into a container.
Hub – A place where images are hosted.
Contact manager API
Hypermedia-based contacts API
Uses ASP.NET 5 Web API, CoreCLR, EF 7 and sqlite