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Kaseya Introduces Entry Level Cloud-Based ITSM

Kaseya expanded its product line to offer a new entry-level cloud-based IT systems management solution.

With unique pricing, the entry-level Foundation solution allows IT professionals to enhance their break-fix processes with basic IT automation functionality at an affordable administrator-based price.

The new solution complements existing Essentials and Advanced cloud-based product bundles to offer something for every IT professional with varied job requirements and responsibilities.

“We’ve received many inquiries from small IT departments and service providers that want to embrace a more efficient remote break-fix approach and aren’t yet looking for the full IT Automation of Kaseya. In order to address this growing demand, we’ve created a new entry-level SaaS offering aimed specifically at this market. Our new Foundation offering enables those new to the IT systems management to come out and test drive,” said Bob Davis, CMO, Kaseya. “Additionally, we’re excited to now offer an ecommerce option on our website so you can buy from Kaseya 24x7 to suit your IT needs accordingly.”

The Foundation bundle is a SaaS solution that gives IT administrators access to the power of the Kaseya platform with pre-configured content and policies.

Foundation also provides options to add on antivirus and data backup modules. The base bundle includes:

- Per administrator pricing, unlimited seats

- Windows, Mac, Linux, iOS, Android and Blackberry Device support

- Remote Control

- Audit and Inventory

- Alerting

- Reports and Dashboards

- Windows Patch Updates

- Standard Policies

The Essentials solution is aimed at the managed service provider and IT professional that needs a more robust IT systems management platform that delivers additional automation options including the ability to create custom policies and schedules with optional add-on modules.

This offering includes full versions of all the elements in Foundation plus the following:

- Customization with Agent Procedures and Scripting

- Network Discovery Ticketing

- Time Tracking

- Service Billing and Service Desk Included for Managed Service Providers

The Advanced solution is designed for the experienced IT professional and managed service provider who requires advanced automation, compliance, monitoring, as well as ITIL Service Desk templates.

This solution includes all the elements in Essentials plus the following:

- Desktop Migration

- Desktop Policy and Intel vPro Management

- Directory Services

- Service Desk with ITIL Templates

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Kaseya Introduces Entry Level Cloud-Based ITSM

Kaseya expanded its product line to offer a new entry-level cloud-based IT systems management solution.

With unique pricing, the entry-level Foundation solution allows IT professionals to enhance their break-fix processes with basic IT automation functionality at an affordable administrator-based price.

The new solution complements existing Essentials and Advanced cloud-based product bundles to offer something for every IT professional with varied job requirements and responsibilities.

“We’ve received many inquiries from small IT departments and service providers that want to embrace a more efficient remote break-fix approach and aren’t yet looking for the full IT Automation of Kaseya. In order to address this growing demand, we’ve created a new entry-level SaaS offering aimed specifically at this market. Our new Foundation offering enables those new to the IT systems management to come out and test drive,” said Bob Davis, CMO, Kaseya. “Additionally, we’re excited to now offer an ecommerce option on our website so you can buy from Kaseya 24x7 to suit your IT needs accordingly.”

The Foundation bundle is a SaaS solution that gives IT administrators access to the power of the Kaseya platform with pre-configured content and policies.

Foundation also provides options to add on antivirus and data backup modules. The base bundle includes:

- Per administrator pricing, unlimited seats

- Windows, Mac, Linux, iOS, Android and Blackberry Device support

- Remote Control

- Audit and Inventory

- Alerting

- Reports and Dashboards

- Windows Patch Updates

- Standard Policies

The Essentials solution is aimed at the managed service provider and IT professional that needs a more robust IT systems management platform that delivers additional automation options including the ability to create custom policies and schedules with optional add-on modules.

This offering includes full versions of all the elements in Foundation plus the following:

- Customization with Agent Procedures and Scripting

- Network Discovery Ticketing

- Time Tracking

- Service Billing and Service Desk Included for Managed Service Providers

The Advanced solution is designed for the experienced IT professional and managed service provider who requires advanced automation, compliance, monitoring, as well as ITIL Service Desk templates.

This solution includes all the elements in Essentials plus the following:

- Desktop Migration

- Desktop Policy and Intel vPro Management

- Directory Services

- Service Desk with ITIL Templates

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...