Skip to main content

Kaseya VSA 9.3 Released

Kaseya announced the general availability of Kaseya VSA 9.3 which delivers a reimagined technician experience to greatly improve productivity, enable 24x7 operations, provide policy-driven end-point security and increased platform scalability and extensibility.

VSA 9.3 delivers fast, reliable and functionally complete remote monitoring and management to reimagine the technician experience through:

- Real Time Visibility: Live Connect module delivers immediate, comprehensive, and real-time visibility into every aspect of an end point such as CPU utilization, application processes, services, disk utilization, activity metrics and service tickets-without interrupting the end user’s system.

- Fast Remote Control: VSA’s remote control is accessible within Live Connect to enable rapid resolution of complex device problems by technicians.

- Reduced Site Visits: New Kaseya VSA and Intel vPro integration enables non-responsive PCs or kiosks to be repaired remotely without the cost or delays associated with a site visit.

- Extensible Automation: Technicians can leverage an extensible library of automated procedures to address common issues, such as rebooting, disk cleanup, service restarts, or clearing registry problems.

- Improved Technician Multi-tasking and Efficiency: Technicians can simultaneously monitor multiple devices, quickly toggle between remote sessions, and quickly zero-in to resolve issues.

- New Technician Experience: Live Connect employs Google’s Material Design guidelines to deliver a modern, clean and intuitive interface, which further increases efficiency and dramatically reduces staff training requirements.

VSA is engineered to meet the demands of today’s disparate networks through:

- Peer-to-Peer: New peer-to-peer software deployment technology provides a new approach to distributing software applications and updates on a massive scale.

- Improved Scalability: Kaseya VSA 9.3 has benchmarked improved performance by up to 30 percent due to database performance, refactoring the server architecture and advanced performance engineering.

- Automation Exchange: New Automation Exchange puts the power of the community to work by providing a central “clearing house” to foster the easy exchange of automation processes, scripts, reports, integrations and other customization.

- Self-Managing Agents: Kaseya VSA can deploy new agents on a scheduled- basis or automatically update them based on policy-driven settings to ensure that the system is always up-to-date.

- Programmatic Control: New REST API enables customers and partners to extend the Kaseya platform and customize the system to their needs using the latest REST-based API protocols.

- Partner Extensibility: VSA 9.3 expands capabilities for partners such as ESET, Trend Micro, Webroot, Veeam, IT Glue, APC by Schneider Electric and Greater Intell. All have announced new integrated offerings giving Kaseya customers the choice and control for using best-of-breed technologies through a single platform.

- PSA Integration: Kaseya VSA 9.3 introduces new bi-directional data connection integrations with 3rd party PSA products from Autotask, Connectwise and Tigerpaw Software, bringing a new level of interoperability between RMM and PSA products.

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Kaseya VSA 9.3 Released

Kaseya announced the general availability of Kaseya VSA 9.3 which delivers a reimagined technician experience to greatly improve productivity, enable 24x7 operations, provide policy-driven end-point security and increased platform scalability and extensibility.

VSA 9.3 delivers fast, reliable and functionally complete remote monitoring and management to reimagine the technician experience through:

- Real Time Visibility: Live Connect module delivers immediate, comprehensive, and real-time visibility into every aspect of an end point such as CPU utilization, application processes, services, disk utilization, activity metrics and service tickets-without interrupting the end user’s system.

- Fast Remote Control: VSA’s remote control is accessible within Live Connect to enable rapid resolution of complex device problems by technicians.

- Reduced Site Visits: New Kaseya VSA and Intel vPro integration enables non-responsive PCs or kiosks to be repaired remotely without the cost or delays associated with a site visit.

- Extensible Automation: Technicians can leverage an extensible library of automated procedures to address common issues, such as rebooting, disk cleanup, service restarts, or clearing registry problems.

- Improved Technician Multi-tasking and Efficiency: Technicians can simultaneously monitor multiple devices, quickly toggle between remote sessions, and quickly zero-in to resolve issues.

- New Technician Experience: Live Connect employs Google’s Material Design guidelines to deliver a modern, clean and intuitive interface, which further increases efficiency and dramatically reduces staff training requirements.

VSA is engineered to meet the demands of today’s disparate networks through:

- Peer-to-Peer: New peer-to-peer software deployment technology provides a new approach to distributing software applications and updates on a massive scale.

- Improved Scalability: Kaseya VSA 9.3 has benchmarked improved performance by up to 30 percent due to database performance, refactoring the server architecture and advanced performance engineering.

- Automation Exchange: New Automation Exchange puts the power of the community to work by providing a central “clearing house” to foster the easy exchange of automation processes, scripts, reports, integrations and other customization.

- Self-Managing Agents: Kaseya VSA can deploy new agents on a scheduled- basis or automatically update them based on policy-driven settings to ensure that the system is always up-to-date.

- Programmatic Control: New REST API enables customers and partners to extend the Kaseya platform and customize the system to their needs using the latest REST-based API protocols.

- Partner Extensibility: VSA 9.3 expands capabilities for partners such as ESET, Trend Micro, Webroot, Veeam, IT Glue, APC by Schneider Electric and Greater Intell. All have announced new integrated offerings giving Kaseya customers the choice and control for using best-of-breed technologies through a single platform.

- PSA Integration: Kaseya VSA 9.3 introduces new bi-directional data connection integrations with 3rd party PSA products from Autotask, Connectwise and Tigerpaw Software, bringing a new level of interoperability between RMM and PSA products.

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...