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Condusiv Launches SSDkeeper

Condusiv Technologies launched SSDkeeper software that guarantees to deliver "faster than new" Windows PC and physical server performance while also extending the life and longevity of solid-state drives (SSDs).

"Every Windows PC or physical server fitted with a solid-state drive suffers from very small, fractured writes and reads, which dampen optimal SSD performance and ultimately erodes the longevity of solid-state drives from write amplification issues. SSDkeeper's patented software ensures large, clean contiguous writes and reads for more payload with every I/O operation, reduced Program/Erase (P/E) cycles that shorten longevity, and boosts performance even further with its ability to cache hot reads within idle, available DRAM," said Brian Morin, SVP, Sales and Marketing, Condusiv Technologies.

Solid-state drives can only handle a number of finite writes before failing. Every write kicks off P/E cycles that shorten SSD lifespan otherwise known as "write amplification". By reducing the number of writes required for any given file or workload, SSDkeeper significantly boosts write performance speed while also reducing the number of P/E cycles that would have otherwise been executed. This enables individuals and organizations to reclaim the write speed of their SSD drives while ensuring the longest life possible.

Patented Write Optimization: SSDkeeper's patented write optimization engine (IntelliWrite) prevents excessively small, fragmented writes and reads that rob the performance and endurance of SSDs. SSDkeeper ensures large, clean contiguous writes from Windows, so maximum payload is carried with every I/O operation. By eliminating the "death by a thousand cuts" scenario of many, tiny writes and reads that slow system performance, the lifespan of an SSD is also extended due to reduction in write amplification issues that plague all SSD devices.

Patented Read Optimization: SSDkeeper electrifies Windows system performance further with an additional patented feature - dynamic memory caching (IntelliMemory®). By automatically using idle, available DRAM to serve hot reads, data is served from memory which is 12-15X faster than SSDs and further reduces wear to the SSD device. The real genius in SSDkeeper's DRAM caching engine is that nothing has to be allocated for cache. All caching occurs automatically. SSDkeeper dynamically uses only the memory that is available at any given moment and throttles according to the need of the application, so there is never an issue of resource contention or memory starvation. If a system is ever memory constrained at any point, SSDkeeper's caching engine will back off entirely. However, systems with just 4GB of available DRAM commonly serve 50% of read traffic. It doesn't take much available memory to have a big impact on performance.

SSDkeeper is a lightweight file system driver that runs invisibly in the background with near-zero intrusion on system resources. All optimizations occur automatically in real-time.

If you ever wanted to know how much Windows inefficiencies were robbing system performance, SSDkeeper tracks time saved due to elimination of small, fragmented writes and time saved from every read request that is served from DRAM instead of being served from the underlying SSD. Users can leverage SSDkeeper's built-in dashboard to see what percentage of all write requests are reduced by sequentializing otherwise small, fractured writes and what percentage of all read requests are cached from idle, available DRAM.

While SSDkeeper provides the same core patented functionality as the latest Diskeeper 16 for hard disk drives (minus defragmentation functions for hard disk drives only), the benefit to a solid-state drive is different than to a hard disk drive. Hard disk drives do not suffer from write amplification that reduces longevity. By eliminating excessively small writes, IntelliWrite goes beyond improved write performance but extends endurance as well.

Available in Professional and Server Editions:

- SSDkeeper Professional for Windows PCs with SSD drives greatly enhances the performance of corporate laptops and desktops.

- SSDkeeper Server speeds physical server system performance of the most I/O intensive applications such as MS-SQL Server and Oracle by 2X to 10X depending on the amount of idle, unused memory.

- Options include Diskeeper Administrator management console to automate network deployment and management across hundreds or thousands of PCs or servers.

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 ...

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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.

Condusiv Launches SSDkeeper

Condusiv Technologies launched SSDkeeper software that guarantees to deliver "faster than new" Windows PC and physical server performance while also extending the life and longevity of solid-state drives (SSDs).

"Every Windows PC or physical server fitted with a solid-state drive suffers from very small, fractured writes and reads, which dampen optimal SSD performance and ultimately erodes the longevity of solid-state drives from write amplification issues. SSDkeeper's patented software ensures large, clean contiguous writes and reads for more payload with every I/O operation, reduced Program/Erase (P/E) cycles that shorten longevity, and boosts performance even further with its ability to cache hot reads within idle, available DRAM," said Brian Morin, SVP, Sales and Marketing, Condusiv Technologies.

Solid-state drives can only handle a number of finite writes before failing. Every write kicks off P/E cycles that shorten SSD lifespan otherwise known as "write amplification". By reducing the number of writes required for any given file or workload, SSDkeeper significantly boosts write performance speed while also reducing the number of P/E cycles that would have otherwise been executed. This enables individuals and organizations to reclaim the write speed of their SSD drives while ensuring the longest life possible.

Patented Write Optimization: SSDkeeper's patented write optimization engine (IntelliWrite) prevents excessively small, fragmented writes and reads that rob the performance and endurance of SSDs. SSDkeeper ensures large, clean contiguous writes from Windows, so maximum payload is carried with every I/O operation. By eliminating the "death by a thousand cuts" scenario of many, tiny writes and reads that slow system performance, the lifespan of an SSD is also extended due to reduction in write amplification issues that plague all SSD devices.

Patented Read Optimization: SSDkeeper electrifies Windows system performance further with an additional patented feature - dynamic memory caching (IntelliMemory®). By automatically using idle, available DRAM to serve hot reads, data is served from memory which is 12-15X faster than SSDs and further reduces wear to the SSD device. The real genius in SSDkeeper's DRAM caching engine is that nothing has to be allocated for cache. All caching occurs automatically. SSDkeeper dynamically uses only the memory that is available at any given moment and throttles according to the need of the application, so there is never an issue of resource contention or memory starvation. If a system is ever memory constrained at any point, SSDkeeper's caching engine will back off entirely. However, systems with just 4GB of available DRAM commonly serve 50% of read traffic. It doesn't take much available memory to have a big impact on performance.

SSDkeeper is a lightweight file system driver that runs invisibly in the background with near-zero intrusion on system resources. All optimizations occur automatically in real-time.

If you ever wanted to know how much Windows inefficiencies were robbing system performance, SSDkeeper tracks time saved due to elimination of small, fragmented writes and time saved from every read request that is served from DRAM instead of being served from the underlying SSD. Users can leverage SSDkeeper's built-in dashboard to see what percentage of all write requests are reduced by sequentializing otherwise small, fractured writes and what percentage of all read requests are cached from idle, available DRAM.

While SSDkeeper provides the same core patented functionality as the latest Diskeeper 16 for hard disk drives (minus defragmentation functions for hard disk drives only), the benefit to a solid-state drive is different than to a hard disk drive. Hard disk drives do not suffer from write amplification that reduces longevity. By eliminating excessively small writes, IntelliWrite goes beyond improved write performance but extends endurance as well.

Available in Professional and Server Editions:

- SSDkeeper Professional for Windows PCs with SSD drives greatly enhances the performance of corporate laptops and desktops.

- SSDkeeper Server speeds physical server system performance of the most I/O intensive applications such as MS-SQL Server and Oracle by 2X to 10X depending on the amount of idle, unused memory.

- Options include Diskeeper Administrator management console to automate network deployment and management across hundreds or thousands of PCs or servers.

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.