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Opsview Releases Splunk Results Exporter

Opsview announced availability of the Opsview Monitor Splunk Results Exporter.

The new toolkit easily and securely exports high volumes of event data in real time to security information and event management (SIEM) tools including Splunk Enterprise Security. Using Opsview event data, Splunk and other SIEMs are able to identify unusual activity for data breach detection and expose patterns of inefficient cloud resource usage to reveal opportunities for cost savings.

The Opsview Results Exporter offers simple and flexible integration with Splunk, and other SIEM, analytics solutions, only exporting and passing relevant data to Splunk to optimize usage costs. By leveraging an easy-to-use toolkit, users can extract, filter and reformat raw data directly from Opsview Monitor’s event bus and forward it via HTTP to the target SIEM. Users have the power to filter and reformat data flexibly prior to egress to optimize both analytics and storage consumption.

Key benefits include:

- Generates multiple outputs in parallel, each with its own custom field mapping and filtering so several use cases can be supported at once.

- Reformats and filters data for each output method and requirements including the ability to flexibly define specific fields.

- Gracefully supports common interfaces including REST and Syslog.

- Flexibly enables use of custom tooling for use cases the require tools such as filebeat for ELK or custom scripts.

- Tested for real-world Splunk readiness including use with Splunk Cloud, Splunk Enterprise and environments that use Splunk Forwarders, with particular adherence to the use of https for optimal security.

The Opsview Results Exporter is an ideal solution for adding sophisticated security, network traffic-shaping, cost analytics and other operational enhancements in a secure and non-disruptive way. The Opsview Monitor is a comprehensive, best-of-breed monitoring tool designed to provide unified insight across IT operations on-premises, in the cloud or hybrid. When used with the Opsview Results Exporter for Splunk, it gives IT operations teams the ability to search and analyze rich IT events and metrics, using pre-built heuristics and machine learning to expose security issues, inefficiencies, utilization errors and other opportunities to optimize IT spend.

“With Opsview, customers are able to streamline their data extraction, processing and formatting steps to more quickly identify operational efficiencies and gain insights into critical security vulnerabilities,” said Scott Heyhoe, VP, Product Management, Opsview. “It’s the perfect solution for any enterprise looking to simplify data science and machine learning for a more agile and responsive environment.”

Availability:

The Opsview Results Exporter for Splunk and other SIEMs is available now to users of Opsview Monitor 6.1.

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Opsview Releases Splunk Results Exporter

Opsview announced availability of the Opsview Monitor Splunk Results Exporter.

The new toolkit easily and securely exports high volumes of event data in real time to security information and event management (SIEM) tools including Splunk Enterprise Security. Using Opsview event data, Splunk and other SIEMs are able to identify unusual activity for data breach detection and expose patterns of inefficient cloud resource usage to reveal opportunities for cost savings.

The Opsview Results Exporter offers simple and flexible integration with Splunk, and other SIEM, analytics solutions, only exporting and passing relevant data to Splunk to optimize usage costs. By leveraging an easy-to-use toolkit, users can extract, filter and reformat raw data directly from Opsview Monitor’s event bus and forward it via HTTP to the target SIEM. Users have the power to filter and reformat data flexibly prior to egress to optimize both analytics and storage consumption.

Key benefits include:

- Generates multiple outputs in parallel, each with its own custom field mapping and filtering so several use cases can be supported at once.

- Reformats and filters data for each output method and requirements including the ability to flexibly define specific fields.

- Gracefully supports common interfaces including REST and Syslog.

- Flexibly enables use of custom tooling for use cases the require tools such as filebeat for ELK or custom scripts.

- Tested for real-world Splunk readiness including use with Splunk Cloud, Splunk Enterprise and environments that use Splunk Forwarders, with particular adherence to the use of https for optimal security.

The Opsview Results Exporter is an ideal solution for adding sophisticated security, network traffic-shaping, cost analytics and other operational enhancements in a secure and non-disruptive way. The Opsview Monitor is a comprehensive, best-of-breed monitoring tool designed to provide unified insight across IT operations on-premises, in the cloud or hybrid. When used with the Opsview Results Exporter for Splunk, it gives IT operations teams the ability to search and analyze rich IT events and metrics, using pre-built heuristics and machine learning to expose security issues, inefficiencies, utilization errors and other opportunities to optimize IT spend.

“With Opsview, customers are able to streamline their data extraction, processing and formatting steps to more quickly identify operational efficiencies and gain insights into critical security vulnerabilities,” said Scott Heyhoe, VP, Product Management, Opsview. “It’s the perfect solution for any enterprise looking to simplify data science and machine learning for a more agile and responsive environment.”

Availability:

The Opsview Results Exporter for Splunk and other SIEMs is available now to users of Opsview Monitor 6.1.

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 ...

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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 ...