Artificial intelligence is increasingly becoming a prerequisite for mastering the multicloud
In the dynamic world of cloud technology, companies are facing increasing challenges in the areas of risk, resilience, security, governance and compliance. The complexity and distributed nature of modern cloud-native solutions and multi-cloud environments make these aspects increasingly difficult to manage using traditional methods and static tools. But how can artificial intelligence (AI) enable organizations to master these growing challenges?
Building resilience to disruption
In today's cloud era, where hard-to-trace performance issues in distributed cloud infrastructure are the new "unavailabilities", resilience is becoming a critical factor for business success. Downtime and loss of performance can result in considerable financial and reputational damage. But how can artificial intelligence (AI) help organizations to make their systems more resilient not only to traditional outages, but also to these more subtle performance issues?
Security in a connected world
The dynamic and complex nature of the threat landscape in cloud environments requires an approach that goes beyond traditional security measures. The time factor plays a decisive role in the defense against security threats. How can artificial intelligence (AI) help improve security monitoring by recognizing complex threat patterns and responding to security incidents in real time?
Governance in the era of digitalization
In the rapidly evolving landscape of cloud technology, where contracts with cloud providers are constantly changing, enforcing governance regulations is becoming an increasingly complex challenge. How can artificial intelligence (AI) help to continuously monitor the dynamic changes in cloud provider contracts and effectively ensure compliance?
Compliance in an ever-changing regulatory environment
In a world where transactions are distributed across numerous microservices on different cloud instances, simple application logs of events are no longer sufficient. Instead, we need to focus on traces, or more precisely, "distributed traces", which are samples of causal chains of events or transactions between different components in a microservices ecosystem. How can artificial intelligence help ensure compliance through improved traceability of these distributed transactions?
Summary: Artificial intelligence - The linchpin for the future management of IT
AI is at the heart of today's technological debate and not only offers solutions for the complexity and dynamics of modern IT systems, but also redefines the way organizations approach them. By using AI, companies can take a proactive and adaptive stance towards the ever-changing demands of the digital landscape, which not only makes them more secure and compliant, but also strengthens their competitiveness.