Developers Can Rapidly Build and Deploy Real-Time Big Data Applications
“Our mission at Splunk is to lower the barriers for organisations to gain operational intelligence from machine data,” said Paul Sanford, general manager of developer platform, Splunk. “We want to empower developers to build big data applications on the Splunk platform and to understand that you don’t need large-scale development efforts to get big value. That’s a key driver behind the development of these SDKs, helping developers quickly get started with Splunk software, leveraging their existing language skills and driving rapid time to value.”
“Building a developer community around a software platform requires a strong commitment to a low barrier to entry. This applies to every step of the adoption process, from download to documentation to development. Splunk's focus on SDKs for some of the most popular programming languages, with underlying REST-based APIs, supports its commitment to enabling software developers to easily build applications,” said Donnie Berkholz, Ph.D., IT industry analyst, RedMonk.
SDKs Deliver Value
• Integrate Splunk Data with Other Applications: Discover a higher level of operational intelligence by letting developers create applications to index, search, visualise and analyse data using Splunk software and any other application.
• Quickly Build Big Data Applications: Build enterprise-grade applications in days instead of months, delivering rapid time-to-value for application development.
• Deliver a Familiar Development Experience: Eliminate the learning curve and develop with standard programming languages and tools.
Developers Embrace Splunk
“We use the Splunk platform to build custom dashboards for our customers to present to their customers. They expect the best and Splunk helps us deliver it,” said Isaac Mosquera, chief technical officer, Socialize. “We utilise the Splunk SDK for Python to allow our customers to access their application logs during the development process, which reduces our staff’s support workload. The Python SDK is also a critical component of our alerting, enabling us to shut down servers before they cause a production problem and stop any revenue loss.”
“The Splunk SDK for Python provides us with a familiar developer environment to build applications that provide metrics and analytics from the Splunk platform to our entire customer base,” said Bill Mathews, chief technology officer, Hurricane Labs.
“We developed several big data applications with Splunk software and run most of our business on it. We use Splunk Enterprise for development/testing, monitoring our data for signs of attack or abuse, learning where we have issues that we need to address and managing security at the data level,” said Steve Mays, co-founder, Message Bus.
About Splunk Inc.
Splunk Inc. (NASDAQ: SPLK) provides the engine for machine data™. Splunk® software collects, indexes and harnesses the machine-generated big data coming from the websites, applications, servers, networks and mobile devices that power business. Splunk software enables organizations to monitor, search, analyze, visualize and act on massive streams of real-time and historical machine data. More than 4,800 enterprises, universities, government agencies and service providers in over 80 countries use Splunk Enterprise to gain Operational Intelligence that deepens business and customer understanding, improves service and uptime, reduces cost and mitigates cyber-security risk. Splunk Storm, a cloud-based subscription service, is used by organizations developing applications in the cloud.
To learn more, please visit www.splunk.com/company.
Splunk and the engine for machine data are registered trademarks or trademarks of Splunk Inc., and/or its subsidiaries and/or affiliates in the United States and/or other jurisdictions. All other brand names, product names or trademarks belong to their respective holders. © 2012 Splunk Inc. All rights reserved.
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