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Splunk Updates Splunk MINT, Splunk Light and Hunk

Splunk announced updates to several products including Splunk MINT, Splunk Light and Hunk.

“At .conf2015, we are showcasing innovations across our entire portfolio of software and cloud solutions, and Hunk, Splunk Light and Splunk MINT are important pillars of our customers’ overall data strategy,” said Shay Mowlem, VP Product Management and Product Marketing, Splunk. “Splunk MINT and Hunk help organizations gain value from two of the fastest-growing sources of data, mobile data and historical data in Hadoop. Small IT teams can also now utilize Splunk Light as a cloud service.”

Hunk - Splunk Analytics for Hadoop: Hunk 6.3 is a full-featured, integrated analytics platform used to interactively explore, analyze and visualize big data in Hadoop and Amazon S3. Go to the Hunk page on the Splunk website to download the Hunk sandbox or to sign up for a free trial. Benefits include:

- Drive down total cost of ownership for Splunk users who can archive historical data from Splunk Enterprise to HDFS and Amazon S3 on commodity hardware for low-cost long-term storage and use Hunk to perform analytics on the historical data transferred to Hadoop.

- Splunk users can leverage the advanced analytics and visualization capabilities they know and love in Splunk Enterprise on the data stored in Hadoop without needing to learn a new solution.

- Analyze data transferred from Splunk Enterprise to Hadoop using third-party Hadoop tools such as Hive and Pig without needing to transform or replicate data.

Splunk Light: Now available as a cloud service, starting at just $90 per month, and delivers the power of Splunk to small IT environments. This full-featured log search and analysis solution makes harnessing machine data even more accessible to small IT environments by eliminating the time and expense of server purchasing, setup and maintenance. Try the free trial of Splunk Light as a cloud service. Benefits include:

- Gain real-time log search and analysis for tactical troubleshooting by collecting, indexing, monitoring, searching, alerting and analyzing any log data in real time from one place.

- Priced for small IT environments, with access to global support and a passionate community of users.

- Easily upgrade to the full Splunk Enterprise or Splunk Cloud for seamless transition to the platform for real-time Operational Intelligence.

Splunk MINT: Runs as an application on top of Splunk Enterprise and now, Splunk Cloud, to deliver enhanced Operational Intelligence with mobile data for developers, operations and product management. Splunk MINT delivers Mobile Intelligence to improve the mobile app user experience. Learn more about Splunk MINT on the Splunk website. Benefits include:

- More developer insight with Stacktrace graphs and screen tracking that offers real-time insight into how users are engaging your app and how many users are affected by performance problems.

- Detailed user analytics including events, screen tracking and user flows that provide powerful feedback to Splunk MINT users.

- Additional mobile app support for hybrid mobile applications that integrate HTML5 web browsers with native mobile OS capabilities.

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

Splunk Updates Splunk MINT, Splunk Light and Hunk

Splunk announced updates to several products including Splunk MINT, Splunk Light and Hunk.

“At .conf2015, we are showcasing innovations across our entire portfolio of software and cloud solutions, and Hunk, Splunk Light and Splunk MINT are important pillars of our customers’ overall data strategy,” said Shay Mowlem, VP Product Management and Product Marketing, Splunk. “Splunk MINT and Hunk help organizations gain value from two of the fastest-growing sources of data, mobile data and historical data in Hadoop. Small IT teams can also now utilize Splunk Light as a cloud service.”

Hunk - Splunk Analytics for Hadoop: Hunk 6.3 is a full-featured, integrated analytics platform used to interactively explore, analyze and visualize big data in Hadoop and Amazon S3. Go to the Hunk page on the Splunk website to download the Hunk sandbox or to sign up for a free trial. Benefits include:

- Drive down total cost of ownership for Splunk users who can archive historical data from Splunk Enterprise to HDFS and Amazon S3 on commodity hardware for low-cost long-term storage and use Hunk to perform analytics on the historical data transferred to Hadoop.

- Splunk users can leverage the advanced analytics and visualization capabilities they know and love in Splunk Enterprise on the data stored in Hadoop without needing to learn a new solution.

- Analyze data transferred from Splunk Enterprise to Hadoop using third-party Hadoop tools such as Hive and Pig without needing to transform or replicate data.

Splunk Light: Now available as a cloud service, starting at just $90 per month, and delivers the power of Splunk to small IT environments. This full-featured log search and analysis solution makes harnessing machine data even more accessible to small IT environments by eliminating the time and expense of server purchasing, setup and maintenance. Try the free trial of Splunk Light as a cloud service. Benefits include:

- Gain real-time log search and analysis for tactical troubleshooting by collecting, indexing, monitoring, searching, alerting and analyzing any log data in real time from one place.

- Priced for small IT environments, with access to global support and a passionate community of users.

- Easily upgrade to the full Splunk Enterprise or Splunk Cloud for seamless transition to the platform for real-time Operational Intelligence.

Splunk MINT: Runs as an application on top of Splunk Enterprise and now, Splunk Cloud, to deliver enhanced Operational Intelligence with mobile data for developers, operations and product management. Splunk MINT delivers Mobile Intelligence to improve the mobile app user experience. Learn more about Splunk MINT on the Splunk website. Benefits include:

- More developer insight with Stacktrace graphs and screen tracking that offers real-time insight into how users are engaging your app and how many users are affected by performance problems.

- Detailed user analytics including events, screen tracking and user flows that provide powerful feedback to Splunk MINT users.

- Additional mobile app support for hybrid mobile applications that integrate HTML5 web browsers with native mobile OS capabilities.

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...