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New Kaseya Release Enhances Functionality, Performance and Usability

Kaseya announced a new set of software tools delivering enhanced functionality, performance and usability to increase productivity for corporate IT professionals and managed service providers (MSPs).

With the latest release of Kaseya, the company builds on its core principles of automated IT systems management services to deliver new consolidated network discovery, enhanced policy management for continuous compliance, and personalized custom reporting to time-strapped IT administrators.

In addition, customers new to Kaseya will appreciate the streamlined on-boarding process and cutting-edge best practices management content enabling new MSPs or IT departments to quickly begin monitoring and managing the health of their network. The best practice management offering includes hundreds of pre-defined views by device type, operating system, hardware profile, and maintenance routines as well as systems monitoring that have been proven over years of experience and also customer feedback to deliver the most successful results and use of the Kaseya Platform.

The new Kaseya Discovery module combines the power of multiple network scanning methods to properly fingerprint and identify a device across remote networks from a central management interface.

Additionally, the Discovery module gives the IT administrator a simplified way to find, organize and automate the delivery of IT services based on defined policies.

To further enhance IT administrators’ productivity, the software delivers robust automated policy management to ensure service delivery and continuous compliance. With the enhanced policy management module, systems are continuously monitored with full visibility of adherence to policy allowing IT professionals to focus efforts on systems that are not in alignment with the policy.

With Kaseya’s customized reporting feature, customers are now able to use its intuitive, easy, drag-and-drop interface to create custom reports that provide complete visibility of IT services tailored for specific audiences with multiple delivery methods.

With this new product release, Kaseya has also improved usability and simplified navigation across the entire platform to increase administrator productivity.

This release also represents full parity between Kaseya SaaS and on-premises delivery methods.

Also, the latest version offers increased scalability as well as supports Microsoft Windows 8, Windows 2012, Apple OS X Mountain Lion and iOS 6 operating systems.

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New Kaseya Release Enhances Functionality, Performance and Usability

Kaseya announced a new set of software tools delivering enhanced functionality, performance and usability to increase productivity for corporate IT professionals and managed service providers (MSPs).

With the latest release of Kaseya, the company builds on its core principles of automated IT systems management services to deliver new consolidated network discovery, enhanced policy management for continuous compliance, and personalized custom reporting to time-strapped IT administrators.

In addition, customers new to Kaseya will appreciate the streamlined on-boarding process and cutting-edge best practices management content enabling new MSPs or IT departments to quickly begin monitoring and managing the health of their network. The best practice management offering includes hundreds of pre-defined views by device type, operating system, hardware profile, and maintenance routines as well as systems monitoring that have been proven over years of experience and also customer feedback to deliver the most successful results and use of the Kaseya Platform.

The new Kaseya Discovery module combines the power of multiple network scanning methods to properly fingerprint and identify a device across remote networks from a central management interface.

Additionally, the Discovery module gives the IT administrator a simplified way to find, organize and automate the delivery of IT services based on defined policies.

To further enhance IT administrators’ productivity, the software delivers robust automated policy management to ensure service delivery and continuous compliance. With the enhanced policy management module, systems are continuously monitored with full visibility of adherence to policy allowing IT professionals to focus efforts on systems that are not in alignment with the policy.

With Kaseya’s customized reporting feature, customers are now able to use its intuitive, easy, drag-and-drop interface to create custom reports that provide complete visibility of IT services tailored for specific audiences with multiple delivery methods.

With this new product release, Kaseya has also improved usability and simplified navigation across the entire platform to increase administrator productivity.

This release also represents full parity between Kaseya SaaS and on-premises delivery methods.

Also, the latest version offers increased scalability as well as supports Microsoft Windows 8, Windows 2012, Apple OS X Mountain Lion and iOS 6 operating systems.

The Latest

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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 ...