Splunk Data Analytics Platform

A Splunk Data Analytics Platform is an highly-scalable online system data analytics platform for machine generated data that is owned by Splunk Corporation.

• Context:
  • It can support Real-Time Analytical Queries.
  • It can support Data Pattern Discovery Tasks.
  • It can support a Splunk Search Processing Language (SPL)[1].
  • It can be composed of Splunk Components, like Splunk Core.
  • It can be solved in bundles, such as Splunk Enterprise.
  • …
• Example(s):
  • …
• Counter-Example(s):
  • Logz.io.
  • Datadog.
• See: Online System Monitoring and Analytics Platform, Web Analytics, Machine-Generated Data, Splunk Machine Learning Toolkit (MLTK), Prometheus Framework.

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References

2023

• ChatGPT
  • The Splunk Platform comprises several components with a diverse release history:
    1. Splunk Core: This is the primary offering of Splunk, designed for collecting and analyzing high volumes of machine-generated data. It also includes APIs for connecting to applications and devices .
    2. Splunk Enterprise Security (ES): Launched as a premium application, ES provides security information and event management (SIEM) for machine data from various security technologies【9†source】.
    3. Splunk Storm: Introduced in 2011, this was a cloud-based version of the core Splunk product, offering a managed and hosted service for machine data. It was shut down in 2015【10†source】.
    4. Hunk: Splunk Analytics for Hadoop: Announced in 2013, Hunk supports accessing, searching, and reporting on data sets in Hadoop from a Splunk interface【11†source】.
    5. Splunk Light: Released in 2015, this version targets smaller IT environments and mid-sized enterprises【12†source】.
    6. Splunk IT Service Intelligence (ITSI): Also debuted in 2015, ITSI uses Splunk data to provide insights into IT performance and detect anomalies【12†source】.
    7. Splunk Security Orchestration, Automation and Response (SOAR): This offers a free community edition for automating tasks and orchestrating workflows【13†source】.
    8. Integrations and Enhancements: Over the years, Splunk has integrated with platforms like Google Cloud and introduced machine learning capabilities across its products. In 2019, Splunk Cloud received FedRAMP authorization【14†source】.
    9. Splunk Insights for Ransomware and AWS Cloud Monitoring: Launched in 2017, these tools assist in threat assessment and cloud migration【15†source】.
    10. Splunk Industrial Asset Intelligence: Introduced in 2018, this extracts information from IIoT data and presents critical alerts【16†source】.
    11. New Capabilities in 2019: Splunk added Data Fabric Search and Data Stream Processor to its platform, enhancing data integration and real-time processing【17†source】.
    12. Splunk Enterprise 8.1 and Splunk Cloud Edition: Announced in 2020, these include stream processing, machine learning, and multi-cloud capabilities【18†source】.
    13. Splunk Mission Control: In 2019, Splunk integrated its security tools into this new platform【19†source】.
    14. SignalFx Microservices APM and Kubernetes Navigator: Launched in 2019, these provide monitoring and analysis features for application performance and infrastructure【20†source】.
  • This comprehensive timeline highlights the evolution and expansion of the Splunk Platform, reflecting its growth and adaptation to emerging IT and security challenges.

2019

• (Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/Splunk Retrieved:2019-6-13.
  • '... software for searching, monitoring, and analyzing machine-generated big data, via a Web-style interface.

    Splunk (the product) captures, indexes, and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards, and visualizations. Splunk's mission is to make machine data accessible across an organization by identifying data patterns, providing metrics, diagnosing problems, and providing intelligence for business operations. Splunk is a horizontal technology used for application management, security and compliance, as well as business and web analytics. As of early 2016, Splunk has over 10,000 customers worldwide. Splunk is based in San Francisco, with regional operations across Europe, the Middle East, Africa, Asia, and Australia.

2018

• https://www.cio.com/article/3254754/is-splunk-big-data-s-big-solution.html
  • QUOTE: ... Founded in 2003, Splunk has seen its success rise in tandem with the rush of organizations undergoing digital transformation. Very simply put, Splunk is a software platform that indexes machine data and turns it into accessible, actionable intelligence. The company’s motto is “any question, any data, one Splunk” – and they mean it. Here are 5 key areas where that “one Splunk” can improve your enterprise through operational intelligence:
    • Applied to IT operations, Splunk can predict service degradation, and measure the impact of a critical service going offline.
    • It can also analyze application performance, uncovering the cause of crashes and comparing the performance of various releases.
    • On the security front, data analyzed by Splunk can detect breaches, and help prevent or stop an attack.
    • Marketing departments love Splunk for its ability to provide insights into user behavior, revenue sources and competitive analysis.
    • And when it comes to the biggest data generator of them all, the Internet of Things, Splunk allows organizations to integrate sensor data with other controls, predict downtime and assess cyber-security threats.
  • In addition to its breadth of applications, Splunk offers additional benefits. First, it delivers analyses in real time, allowing users to respond instantly to events and insights. It’s also a highly scalable solution - under the right conditions. So what’s the catch? For many organizations, it’s that Splunk becomes a victim of its own success. ...

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