Splunk App Captures Real-Time Streaming Wire Data (2024)

by Thor Olavsrud

News

Aug 12, 20143 mins

AnalyticsBig DataSecurity

Splunk adds capability to capture wire data to its platform, dramatically expanding use cases for application management, IT operations, security and business analytics.rn

Aiming to expand its operational intelligence capabilities, Splunk today unveiled Splunk App for Stream, which the company says is a free addition to Splunk Enterprise and Splunk Cloud that makes it easy to capture wire data and combine it with the machine-generated data Splunk already captures and analyzes.

“The Splunk App for Stream, the first product delivered from our acquisition of Cloudmeter last year, is a new approach that further enhances the value that customers can realize with Splunk software,” says Leena Joshi, senior director of solutions marketing at Splunk.

“Unlike traditional and appliance-based solutions, which are difficult to deploy, especially in public cloud infrastructures, the Splunk App for Stream enables customers to gain immediate wire data access on-premises or in public, private or hybrid cloud infrastructures. It opens up for our customers a whole new class of data sets to provide continuous IT, security and business insights,” Joshi says.

Wire data is the information transmitted between applications over computer and telecommunications networks, making it an important source of information for troubleshooting performance issues, creating activity baselines, detecting anomalous activity, investigating security issues and discovering IT assets and their dependencies.

Splunk App for Stream is designed to be deployed to collect, aggregate and filter wire data from network endpoints—like virtual machines in public clouds or virtual desktops—and the network perimeter, such as routers, switches and firewalls.

Using fine-grained filters and aggregation rules defined through the app interface, Splunk customers can dynamically control data volumes and capture on the wire data relevant for the needs of their specific analysis.

Splunk Enterprise and Splunk Cloud already capture machine-generated data—system self-reported information like logs from routers, servers and other equipment. Combining wire data with system self-reported data dramatically increases the scope of operational intelligence capabilities, providing insight into application and infrastructure performance, operational issues, transaction paths, system downtime, infrastructure relationships, security vulnerabilities, compliance and customer behavior.

“What we’re introducing is a very simple, elegant mechanism,” Joshi says. “The potential of wire data that we see is pretty enormous.”

Wire Data Capture Enables New Use Cases

Splunk says top use cases for Splunk App for Stream include the following:

  • Application Management. It provides granular data on transaction response times, transaction traces, transaction paths, network performance and database queries without requiring any instrumentation of the application.
  • IT Operations. It empowers administrators to pinpoint root-causes of issues faster, map dependencies of critical infrastructure services and ensure the delivery of services at the levels required by the business.
  • Security. It enables in-depth monitoring and real-time correlation to drive sophisticated analytics on breaches, threat detection, intelligence gathering and threat prevention. It can be deployed in the midst of a breach/incident investigation to gain insight into network traffic from any system of interest not previously monitored.
  • Business Analytics. It captures web interactions and key metrics such as time spent on page, bounce rates, navigation paths and product performance, without the need to tag individual pages. It enables real-time end-to-end insights into business processes such as order management, provisioning, trade execution span and others, without requiring specific instrumentation.

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Splunk App Captures Real-Time Streaming Wire Data (2024)

FAQs

How does Splunk capture data? ›

Splunk gathers logs by monitoring files, detecting file changes, listening on ports or running scripts to collect log data – all of these are carried out by the Splunk forwarder. The deployment server manages indexers and search heads, configuration and policies across the entire Splunk deployment.

What is Splunk and why is real time machine data so important to write collect and analyze? ›

Splunk is a powerful tool for analyzing data that can help organizations make better decisions, improve operations, and reduce costs. By collecting and indexing data from across an organization, Splunk provides a centralized view of all the data that an organization must work with.

What is the difference between streaming and non streaming Splunk? ›

Non-streaming commands run on the search head. By contrast, a streaming command operates on each event as the event is returned by the search. Any command in a search that occurs after a non-streaming command must also be processed on the search head.

How does Splunk stream work? ›

Stream collects network data and forwards it to Splunk Enterprise or Splunk Cloud. Stream does not analyze logs. If you can use a UF to send logs to Splunk then you don't need Stream.

What type of data does Splunk collect? ›

Data collection methods
Data collection methodDescription
Ingest serviceCollects JSON objects from the /events and /metrics endpoints of the Ingest REST API.
Forwarder serviceCollects data from Splunk forwarders.
DSP HTTP Event Collector (DSP HEC)Collects data from HTTP clients and syslog data sources.
1 more row
Sep 28, 2022

What kind of data does Splunk usually read through? ›

The Splunk platform can index any kind of data. In particular, the Splunk platform can index any and all IT streaming, machine, and historical data, such as Microsoft Windows event logs, web server logs, live application logs, network feeds, metrics, change monitoring, message queues, archive files, and so on.

How is real-time data collected? ›

Organizations collect real time data through various methods and technologies designed to capture information as it is generated: Sensors and Internet of Things (IoT) devices.

What is an example of real-time data? ›

For example, real-time data provides information like a person's heartbeat, and these immediate updates can be used to save lives and even predict ailments in advance.

What is considered real-time data? ›

Real-time data refers to information that is made available for use as soon as it is generated. Ideally, the data is passed instantly between the source and the consuming application but bottlenecks in data infrastructure or bandwidth can create a lag.

When to use data streaming? ›

Streaming data is critical for any applications which depend on in-the-moment information to support the following use cases:
  1. Streaming media.
  2. Stock trading.
  3. Real-time analytics.
  4. Fraud detection.
  5. IT monitoring.
  6. Instant messaging.
  7. Geolocation.
  8. Inventory control.

How does streaming data work? ›

Streaming Data Overview

Also known as event stream processing, streaming data is the continuous flow of data generated by various sources. By using stream processing technology, data streams can be processed, stored, analyzed, and acted upon as it's generated in real-time.

How do I stream logs to Splunk? ›

How to
  1. In Destination, select Splunk.
  2. In Display name, enter a human-readable description for the destination. ...
  3. In Event collector token, enter the HEC token you created and enabled in Splunk.
  4. If you want to send compressed gzip logs to this destination, check Send compressed data.

How to capture a data stream? ›

To enable stream capture, set the DateStreamCapture property to 1. Then specify the name of the stream capture file by setting the StreamCaptureFile property or -streamcapturefile command line option. Note: The data stream capture function generates a lot of data.

How to pull data from Splunk? ›

There are three common ways to extract data from Splunk Infrastructure Monitoring: by using SignalFlow, Splunk's streaming analytics API; by using the /timeserieswindow endpoint in the Splunk API; or from the Splunk UI.

What does Splunk capture? ›

It can gather any form of data, including CSV, JSON, and log formats. Organizations can create a central repository that allows them to search Splunk data from multiple sources and extract data through functionalities like Rex in Splunk.

How does data get into Splunk? ›

Take a look at the four main ways to get your data into Splunk platform. These include the Universal Forwarder, guided data onboarding in Splunk web, creating data inputs for TCP or UDP traffic, and the HTTP Event Collector (HEC).

How does Splunk ingest data? ›

Data ingestion in Splunk happens through the Add Data feature which is part of the search and reporting app. After logging in, the Splunk interface home screen shows the Add Data icon as shown below.

How does data flow through Splunk? ›

Splunk processes data through pipelines. A pipeline is a thread, and each pipeline consists of multiple functions called processors. There is a queue between pipelines. With these pipelines and queues, index time event processing is parallelized.

What sources does Splunk use to obtain data? ›

Data sources such as:
  • Authentication.
  • Badge Access.
  • Cloud Data.
  • Email.
  • Endpoint.
  • External Alarm.
  • VPN.
  • AD (Windows Security Events). See Add Windows events to Splunk UBA.
Jun 24, 2024

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