Skip to main content

SIOS LifeKeeper for Linux 9.8.1 Released

SIOS Technology announced the latest version of SIOS LifeKeeper for Linux 9.8.1 featuring a new Web Management Console that simplifies the way IT administrators deploy and manage high availability clusters used to protect critical applications such as SAP, HANA, Oracle and others from downtime and disasters.

Masahiro Arai, Chief Operating Officer, SIOS Technology, said, “The new SIOS LifeKeeper Web Management Console is the first step in realizing our vision of empowering IT administrators with simple, holistic application HA/DR. It lays the groundwork for future innovations that will dramatically improve the way companies implement and manage HA/DR.”

SIOS’ automated approach offers simplicity, reliability, and cost efficiency. By empowering IT administrators with intuitive tools and technology, the SIOS LifeKeeper Web Management Console represents a significant step forward in safeguarding critical enterprise systems against downtime and disasters.

The new LifeKeeper Web Management Console (LKWMC) in SIOS LifeKeeper for Linux, features:

- Enhanced Ease-of-Use: System administrators gain simplified processes and intuitive interfaces save time and reduce errors in configuration and ongoing management, particularly in cloud environments;

- Set up Progress Tracking: Enables administrators to monitor the installation process in real-time for seamless, error-free deployment;

- Self-Help “Information Cues”: Intuitive cues offer self-help functionality for key system features, simplifying configuration and management;

- Self-Contained Solution: A self-contained system simplifies the deployment process and reduces maintenance overhead; Eliminates the need for Java or X Window System installation on the server;

- Language Localization: With support initially available in both Japanese and English, language localization caters to a diverse global user base;

- Simplified Firewall Management: Requiring only 2 TCP ports, enhances security without compromising accessibility;

- Responsive Design: Seamless access and functionality across a range of devices, including tablets and smartphones; and

- Broader Support: Support for leading platforms, operating systems, and enhanced SAP integration, for unparalleled versatility and compatibility.

“Complex application environments are often designed and configured by IT architects with specialized skills, but it’s the generalist IT administrators who are left to handle the ongoing management and maintenance,” explained Margaret Hoagland, Vice President of Global Marketing, SIOS Technology. “By simplifying and enhancing high availability/disaster recovery (HA/DR) solutions, SIOS is empowering these generalist IT administrators to effectively manage and maintain complex application environments, eliminating the need for IT architects with specialized, costly skills.”

SIOS is committed to offering support for a wide array of applications, platforms and environments, ensuring application availability across various systems. SIOS LifeKeeper for Linux version 9.8.1 adds:

SIOS LifeKeeper for Linux version 9.8.1 is immediately available.

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

SIOS LifeKeeper for Linux 9.8.1 Released

SIOS Technology announced the latest version of SIOS LifeKeeper for Linux 9.8.1 featuring a new Web Management Console that simplifies the way IT administrators deploy and manage high availability clusters used to protect critical applications such as SAP, HANA, Oracle and others from downtime and disasters.

Masahiro Arai, Chief Operating Officer, SIOS Technology, said, “The new SIOS LifeKeeper Web Management Console is the first step in realizing our vision of empowering IT administrators with simple, holistic application HA/DR. It lays the groundwork for future innovations that will dramatically improve the way companies implement and manage HA/DR.”

SIOS’ automated approach offers simplicity, reliability, and cost efficiency. By empowering IT administrators with intuitive tools and technology, the SIOS LifeKeeper Web Management Console represents a significant step forward in safeguarding critical enterprise systems against downtime and disasters.

The new LifeKeeper Web Management Console (LKWMC) in SIOS LifeKeeper for Linux, features:

- Enhanced Ease-of-Use: System administrators gain simplified processes and intuitive interfaces save time and reduce errors in configuration and ongoing management, particularly in cloud environments;

- Set up Progress Tracking: Enables administrators to monitor the installation process in real-time for seamless, error-free deployment;

- Self-Help “Information Cues”: Intuitive cues offer self-help functionality for key system features, simplifying configuration and management;

- Self-Contained Solution: A self-contained system simplifies the deployment process and reduces maintenance overhead; Eliminates the need for Java or X Window System installation on the server;

- Language Localization: With support initially available in both Japanese and English, language localization caters to a diverse global user base;

- Simplified Firewall Management: Requiring only 2 TCP ports, enhances security without compromising accessibility;

- Responsive Design: Seamless access and functionality across a range of devices, including tablets and smartphones; and

- Broader Support: Support for leading platforms, operating systems, and enhanced SAP integration, for unparalleled versatility and compatibility.

“Complex application environments are often designed and configured by IT architects with specialized skills, but it’s the generalist IT administrators who are left to handle the ongoing management and maintenance,” explained Margaret Hoagland, Vice President of Global Marketing, SIOS Technology. “By simplifying and enhancing high availability/disaster recovery (HA/DR) solutions, SIOS is empowering these generalist IT administrators to effectively manage and maintain complex application environments, eliminating the need for IT architects with specialized, costly skills.”

SIOS is committed to offering support for a wide array of applications, platforms and environments, ensuring application availability across various systems. SIOS LifeKeeper for Linux version 9.8.1 adds:

SIOS LifeKeeper for Linux version 9.8.1 is immediately available.

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...