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Syslink Xandria Relaunched as Avantra

Syslink Xandria was relaunched as Avantra, the next generation AIOps platform that eliminates the need for repetitive SAP operations and moves users towards the self-healing enterprise.

To lead this strategic change and to accelerate market adoption, Avantra has appointed a new CEO, John Appleby, who steps up from his role as the company’s chief revenue officer.

A recent study by 451 Research found that half of IT decision-makers describe the level of automation in their environments as mostly manual. Avantra’s platform solves this issue for on-premise, cloud, and Software-as-a-Service (SaaS) deployments with its full-stack automation, operational transparency, and actionable insights.

The solution also provides early detection of performance, compliance and health issues, and facilitates a faster resolution. Transforming the customer journey from a reactive to proactive approach empowers businesses to focus on digital transformation by reducing manual operations.

Upon his appointment, John Appleby, who was the Global Head of DDM/HANA COE at SAP and member of the SAP Mentors group, comments, “Today marks the next stage in the evolution of our platform. We launched 20 years ago, and our aim then was to reduce the overhead of SAP operations and improve visibility into SAP landscapes.”

“With digital transformation driving an increasing reliance on core systems, we want to ensure our customers stay ahead of the curve. Our move to build an AIOps platform allows them to become proactive and focus their resources on strategic innovation whilst ensuring security and compliance.”

Avantra provides clients with insight into their IT health and enables them to manage some of the most challenging workloads. The platform automatically monitors millions of data points and processes daily. Avantra is used by some of the world’s largest enterprises in the automotive, manufacturing, retail industries, and managed services providers.

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Syslink Xandria Relaunched as Avantra

Syslink Xandria was relaunched as Avantra, the next generation AIOps platform that eliminates the need for repetitive SAP operations and moves users towards the self-healing enterprise.

To lead this strategic change and to accelerate market adoption, Avantra has appointed a new CEO, John Appleby, who steps up from his role as the company’s chief revenue officer.

A recent study by 451 Research found that half of IT decision-makers describe the level of automation in their environments as mostly manual. Avantra’s platform solves this issue for on-premise, cloud, and Software-as-a-Service (SaaS) deployments with its full-stack automation, operational transparency, and actionable insights.

The solution also provides early detection of performance, compliance and health issues, and facilitates a faster resolution. Transforming the customer journey from a reactive to proactive approach empowers businesses to focus on digital transformation by reducing manual operations.

Upon his appointment, John Appleby, who was the Global Head of DDM/HANA COE at SAP and member of the SAP Mentors group, comments, “Today marks the next stage in the evolution of our platform. We launched 20 years ago, and our aim then was to reduce the overhead of SAP operations and improve visibility into SAP landscapes.”

“With digital transformation driving an increasing reliance on core systems, we want to ensure our customers stay ahead of the curve. Our move to build an AIOps platform allows them to become proactive and focus their resources on strategic innovation whilst ensuring security and compliance.”

Avantra provides clients with insight into their IT health and enables them to manage some of the most challenging workloads. The platform automatically monitors millions of data points and processes daily. Avantra is used by some of the world’s largest enterprises in the automotive, manufacturing, retail industries, and managed services providers.

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In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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