In the data world, we are familiar with the oil industry metaphor, whereby the downstream outputs of machine learning models or analytics dashboards are determined by the upstream quality of the data pipelines that feed into them. As a result, the recent board-level enthusiasm for AI has driven a surge of investment in corporate data engineering and data quality initiatives. The IT veteran’s refrain of ‘garbage in, garbage out’ has never felt more pertinent.
In a similar vein, most data silos and tortuous data engineering nightmares can trace their roots back to incompatible layers of software development and systems architecture. Many enterprises, seeking to launch ambitious digital transformation projects, find themselves shackled by legacy systems and technical debt, with a mire of applications built up through business mergers and product launches.
Cloud-Native Architecture offers the promise of a clean slate and a fresh start.
Modern, digital-first enterprises are designed for data, running on open source software platforms, built for the cloud. These cloud-native titans dominate their markets by harvesting vast quantities of data, driven by automated and constantly updated software processes. The data flywheel effect then kicks in, pushing these digital champions further ahead of the pack.
Of course, large enterprises do not start with a clean slate. Many IT teams have learned to their cost that they will never have the engineering resources to successfully implement the latest open source innovations emerging from Big Tech. Nevertheless, a clear consensus is forming: Cloud-Native Architecture is the must-have platform for every private and public sector organisation. In practice, this means a blend of on-premise systems and cloud systems, with application modernisation as much of a consideration as net new development. Enterprises will pick and choose the elements that work for them, taking a pragmatic approach to the new paradigm. Inevitably, complexity is therefore a major factor, particularly with new real-time and event-driven requirements added to the mix, along with a plethora of user-driven SaaS and Customer Experience projects. How can IT leaders see the bigger picture and plan their way forward?
Cloud-Native success isn’t simply built from scratch – it needs a Blueprint!
The creators of Big Data LDN, the UK’s largest enterprise data & analytics event, are pleased to announce the launch of a new, complementary event brand, Blueprint LDN. The first edition of Blueprint will be a virtual event taking place in March 2021, with a physical event to follow in September at London Olympia, running alongside Big Data LDN.
Blueprint LDN is focused on how to build a modern Cloud-Native Architecture fit for today’s requirements and will cover such topics as Multi-Cloud, DevOps, IoT, Containerisation, Monitoring and Observability. If you, or someone in your organisation would like to be a speaker, the call for papers is open for submissions here
Blueprint LDN will be an essential event for anyone looking to design a Cloud-Native technology stack fit for the modern enterprise.