If you are looking for a small-scale cloud deployment suitable for the edge, chances are you came across Canonical’s Micro cloud solution. These are small-footprint clusters of compute nodes with distributed storage and secure networking, optimised for repeatable and reliable remote deployments.
Repatriation in cloud computing refers to moving workloads from the public cloud to on-premise infrastructure. Sarah Wang and Martin Casado from Andreessen Horowitz have written one of the most popular articles about repatriation: they explain the motivation with the significant cost savings possible. For software-based businesses, public cloud spend can rise to 50% of the cost of revenue (COR). Reducing these costs has the potential for significant margin increases.
MLOps is the short term for machine learning operations and it represents a set of practices that aim to simplify workflow processes and automate machine learning and deep learning deployments. It accomplishes the deployment and maintenance of models reliably and efficiently for production, at a large scale. MLOps is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring.
Financial Institutions (FIs) need to respond with agility and business velocity to keep pace with changing economic conditions. Yet, emerging competition from fintechs and challenger banks and increasing customer expectations is making this task difficult, especially as regulatory and compliance requirements increase. Embracing the next phase of digital transformation is an imperative for financial institutions to sustain and grow in a competitive environment of rising cost pressures.
Large enterprises usually have more than 1,000 systems running. Even smaller organisations may have hundreds of applications in their public cloud spaces or on their servers. In this world of IT systems, application migrations are common for the following reasons: In addition to these three general motivations, there is a growing repatriation trend. The public cloud provides the optimal environment for most systems but not for all. For some systems, private cloud hosting can be more cost-efficient.
Enterprises are looking to capitalise on the new wave of small form-factor computing and navigate the shift to the edge. Device manufacturers across the world are racing to build embedded, connected devices that will deliver on the promise of the fourth industrial revolution. Many of them are looking to explore data-driven value-chain optimisations, predictive maintenance and or new digital customer experiences.
AI/ML is reinventing the reality of many industries, including retail. From brick-and-mortar stores to online marketplaces, retail companies are all increasing their investments in artificial intelligence, in order to gain a competitive advantage, better understand their customers and solve some of their long-lasting problems.
So you have just installed the latest antivirus and turned on your shiny new firewall. Now your organisation is fully secure, right? The reality is that all the security products in the world will never be able to fully protect your data centre or your business from security threats. Because of the asymmetry between attackers and enterprises, cybersecurity is a problem that can never be solved and is never going away.
The pandemic has accelerated the trend toward remote working environments but it also pushed governance and security issues to the top of the priority list for IT departments within financial institutions. Employees, and developers in particular, need the technological agility to work remotely given the hybrid workplace model being adopted by the majority of organisations.
Designing a production service environment around Apache Kafka that delivers low latency and zero-data loss at scale is non-trivial. Indeed, it’s the holy grail of messaging systems. In this blog post, I’ll outline some of the fundamental service design considerations that you’ll need to take into account in order to get your service architecture to measure up. Let’s start with the basics.
