SIOS Technology Corp announced the GA release of SIOS Protection Suite for Linux version 9.5.2 clustering software, featuring enhanced automation and application failover orchestration that makes creating and managing high availability (HA) clusters in complex SAP S/4HANA environments easier and more reliable for enterprises.
SIOS also recently released SIOS Protection Suite for Windows version 8.8 clustering software featuring innovations designed to make HA clustering in the cloud faster and easier.
For many IT managers, creating a failover cluster to protect critical applications is a complex, time consuming process, often with unreliable results. SIOS Protection Suite clustering solutions deliver high availability and disaster recovery protection while eliminating this complexity and uncertainty by automating manual tasks and providing application-specific failover orchestration.
“The latest releases are focused on making clustering in public clouds – Microsoft Azure, AWS, and Google Cloud Platform (GCP) faster and easier,” said Masahiro Arai, COO, SIOS Technology, Corp. “These new features give enterprises additional confidence that the high availability they have always trusted from SIOS can be achieved in the public clouds.
New features and capabilities in SIOS Protection Suite for Linux 9.5.2, include:
- Enhanced, Comprehensive Support for HA in GCP. Enhancements include SIOS Internal Load Balancer tool designed to orchestrate efficient IP management during switchovers and failovers.
- All Functions of GUI are Available via CLI. Allowing customers who use products such as Ansible the ability to automate their interactions with SIOS LifeKeeper.
- Near-Zero Downtime for Switchover During Planned Maintenance. Supports a new HANA “Takeover with Handshake” feature enabling near-zero downtime time during switchovers by eliminating the potentially time-consuming process of shutting down the primary HANA server database. As a result, customers can perform planned maintenance without disrupting ongoing service to end-users.
- Empowering Customers by Making SAP Logging Easier to Use. Updates existing messages to make error messages and logs clearer and easier for customers to understand and act on.
Also new in SIOS Protection Suite for Windows, version 8.8:
- Advanced disaster recovery protection for critical applications on AWS EC2. New application recovery kits enable failover across availability zones for reliable HA failover and protection from site-wide and regional disasters. Enhanced configuration flexibility – with new IP Recovery Kit enabling the use of cluster nodes in multiple availability zones.
- Enhanced support for Microsoft Azure Cloud Internal Load Balancer for fast, reliable cluster failovers.
SIOS Protection Suite for Linux and SIOS Protection Suite for Windows, include:
- SIOS LifeKeeper – Flexible failover clustering software that monitors the entire application stack and orchestrates application-aware failover.
- SIOS DataKeeper – Fast, efficient host-based, block level data replication for mirroring local storage in a SANless cluster configuration or replicating to remote locations or cloud for disaster recovery.
- Application Recovery Kits (ARKs) – Extensions to SIOS LifeKeeper that integrate with applications to provide intelligent methods for simplifying setup, automating manual tasks and handling diverse application recovery events. They detect application level failures and ensure applications-specific best practices are maintained throughout the failover process.
SIOS DataKeeper Cluster Edition, includes:
- Maintenance updates for our replication software which enables SANless clustering in conjunction with Windows Server Failover Clustering.
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 ...