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.
The Latest
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...