Intelligent CIO Europe Issue 25 - Page 57

////////////////////////////////////////////////////////////////////////// FEATURE: CLOUD MANAGEMENT While as a whole the public cloud has been extremely secure, other external trends have emerged which make public safeguarding incredibly complex. With the constant integration of new platforms, more people across the world are continuously trying to access data for various uses. This has resulted in a security gap and multiple cases of shadow IT and rogue DevOps coming to a head. To move forward, organisations must focus on putting controls in place to manage and monitor their data at all times. Because in the end, if you can see your data, you can trust that it is secure regardless of the environment you are operating in. On one hand, organisations must implement defined policies that specify what data can live where and who can touch capacity to intelligently monitor and manage all IT environments at scale. The key to managing these complex environments is to integrate the data fabric – a set of data services that provide consistent capabilities across a choice of endpoints – with AIOps, the application of Artificial Intelligence (AI) and Machine Learning (ML) to automate the identification and resolution of operational issues. These can include security and governance risks, poor system performance, as well as general and unexpected errors. Dissimilar to some AI integrations, AIOps is fully intelligent and capable of analysing and creating action without human interference. According to recent Gartner predictions, it’s estimated that 30% of large enterprises will use AIOps complete agility. For most, this results in an inability to adapt and leverage innovation in a multi-cloud environment. Because using Kubernetes is considered ‘cloud agnostic’, organisations can avoid this and move from one cloud to another without negative consequences for IT and business processes. By taking this approach, the CIO and IT team can showcase the ability to achieve true application portability, ultimately addressing the economic factors and complexity concerns that hinder modern DevOps. In the end, there is simply no other way to be flexible while mixing on-premise and off-premise than through a comprehensive data fabric strategy. Taking this approach enables organisations to pursue innovation while seamlessly shifting workloads and preventing cloud vendor lock-in. Fortunately, the technology side of multi- cloud is becoming easier; the next step and the next crucial differentiator is about the experience. Moving forward, organisations must ensure that the management of the hybrid multi-cloud world is as easy as possible. To do this, they must connect the data dots, ensuring the cloud works for as many workloads and customers as possible – including the transparent delivery of consumption models. Doing so will alleviate some of the pressure on the CIO and will allow them to focus on delivering value and having an impact on the CEO’s overall business goals. n it. On the other hand, IT leaders must put the appropriate tools in place to monitor the data, alleviating the responsibility of wondering whether the data is secure in the cloud. Moving forward with AIOps Given the increasing complexities for both the CIO and CEO, a new approach is needed to equip teams to view, understand and act seamlessly across the entire infrastructure. To ensure this occurs, automation must be considered – in the right way. While many organisations have made huge strides in automating IT analytics, it still often requires humans at the core. Though this has worked well in the past, today’s evolved version of the hybrid multi-cloud environment – which consistently sends data to hundreds of data centre touchpoints at a time – requires a technology that goes beyond human and digital experience monitoring tools exclusively by 2030 – with good reason. Not only can AIOps help increase productivity gains, it can create significant cost savings and dramatically reduce downtime, which ultimately adds up to a meaningful impact on a business’ bottom line. Cloud-agnostic DevOps Another recent approach to getting the most out of a hybrid multi-cloud environment has been through the use of Kubernetes. Acting as a connection between the contrasting DevOps solutions many organisations internally use, Kubernetes enables teams to build a modern, simpler solution which works across any environment. As it stands, vendor lock-in is still considered to be a significant barrier to innovation and TODAY’S CIO IS RESPONSIBLE FOR IMPROVING BUSINESS PERFORMANCE AND IS EXPECTED TO BE SEEN AS THE TECHNOLOGY AND BUSINESS LEADER. INTELLIGENTCIO 57