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KEMP Offers Free LoadMaster

The free version of KEMP Technologies’ LoadMaster application load balancer is now available for unlimited use, making it easy for IT developers and open source technology users to benefit from all the features of a full commercial-grade product at no cost.

The free version of LoadMaster provides all of the core functionality available in the commercial version of the product at zero cost.

While many free and open source load balancers have a loose coupling between the underlying operating system and the actual load balancer, KEMP’s free LoadMaster is an optimized and hardened virtual appliance. This keeps required host configuration to a minimum as well as allays concerns related to ensuring that the overall solution is configured correctly for protection against threats. Since application architecture and protocol usage can vary widely, a load balancer that has diverse capabilities is also important during mid-stage development.

Often times, open source and even entry-level commercial load balancers lack support for protocols other than HTTP/HTTPS and do not have the full breadth of capabilities that go along with modern application load balancers. Free LoadMaster includes ALL of the core functionality expected from a commercial load balancer to enable full testing and validation of application interaction, including global site load balancing via KEMP’s GSLB functionality, authentication and single sign-on with the Edge Security Pack, and verification of custom web application firewall (WAF) rules prior to rolling them into production with the KEMP Web Application Firewall Pack (AFP) – all at no cost.

KEMP’s well-documented REST API (LMAPI) provides access to ~95% of all functionality inside of the product for workflow automation and scripting. Powershell and Java API wrappers provide flexibility for the language used to instantiate, instrument and integrate Free LoadMaster into common development and testing scenario workflows, and there are also plans to deliver a Puppet module in a future version. Community-driven and led support provides a venue for developer-centric collaboration and innovation on new use cases and methodologies in KEMP’s Help Center.

“In line with our core values, we are making application delivery technology even more accessible to the IT community with this free version of our flagship LoadMaster product,” stated Peter Melerud, co-founder and CMO for KEMP. “We are looking forward to increased community engagement with this release and are happy to be able to contribute to the move to iterative application development models being adopted by organizations that are embracing DevOps principles.”

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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 ...

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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 ...

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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.

KEMP Offers Free LoadMaster

The free version of KEMP Technologies’ LoadMaster application load balancer is now available for unlimited use, making it easy for IT developers and open source technology users to benefit from all the features of a full commercial-grade product at no cost.

The free version of LoadMaster provides all of the core functionality available in the commercial version of the product at zero cost.

While many free and open source load balancers have a loose coupling between the underlying operating system and the actual load balancer, KEMP’s free LoadMaster is an optimized and hardened virtual appliance. This keeps required host configuration to a minimum as well as allays concerns related to ensuring that the overall solution is configured correctly for protection against threats. Since application architecture and protocol usage can vary widely, a load balancer that has diverse capabilities is also important during mid-stage development.

Often times, open source and even entry-level commercial load balancers lack support for protocols other than HTTP/HTTPS and do not have the full breadth of capabilities that go along with modern application load balancers. Free LoadMaster includes ALL of the core functionality expected from a commercial load balancer to enable full testing and validation of application interaction, including global site load balancing via KEMP’s GSLB functionality, authentication and single sign-on with the Edge Security Pack, and verification of custom web application firewall (WAF) rules prior to rolling them into production with the KEMP Web Application Firewall Pack (AFP) – all at no cost.

KEMP’s well-documented REST API (LMAPI) provides access to ~95% of all functionality inside of the product for workflow automation and scripting. Powershell and Java API wrappers provide flexibility for the language used to instantiate, instrument and integrate Free LoadMaster into common development and testing scenario workflows, and there are also plans to deliver a Puppet module in a future version. Community-driven and led support provides a venue for developer-centric collaboration and innovation on new use cases and methodologies in KEMP’s Help Center.

“In line with our core values, we are making application delivery technology even more accessible to the IT community with this free version of our flagship LoadMaster product,” stated Peter Melerud, co-founder and CMO for KEMP. “We are looking forward to increased community engagement with this release and are happy to be able to contribute to the move to iterative application development models being adopted by organizations that are embracing DevOps principles.”

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.