Cloud first was gospel for a decade. But the calculus has changed, and organisations are asking harder questions about where their workloads actually belong. In this clip, Civo Product Director Russ Smith breaks down the four forces that have converged to shift the default: spiralling bills that are no longer defensible at scale, the Broadcom acquisition that detonated VMware pricing overnight, sovereignty becoming a boardroom procurement requirement, and AI making new hardware brutally expensive.
Over the past five years, one of the most consistently tracked figures in the UK business technology sector has been the flight from public cloud. Barclays' 2021 CIO survey revealed that 43% of enterprises plan to shift workloads away from public cloud. By 2024, that had grown to 83%.
After more than a decade of "cloud-first" strategies, a major counter-trend is reshaping enterprise IT: the systematic repatriation of workloads, data, and infrastructure back to on-premises and private data centers.
A deployment strategy is the method an engineering team uses to release new software to production. The six core deployment strategies are recreate (big bang), rolling update, blue-green, canary, A/B testing, and shadow deployment. Each trades off between downtime risk, rollback speed, infrastructure cost, and complexity. This guide covers all six along with what each strategy actually costs in cloud and AI infrastructure spend.
CloudZero now breaks out Snowflake Cortex spend on its own, so the AI usage buried in your Snowflake bill becomes a line item you can track and allocate before it ramps into a surprise.
Learn how to launch Ubuntu Pro versions that aren't available in the AWS EC2 quick launch menu. In this tutorial, Carlos Bravo from Canonical's Cloud team walks you through: Key Resources.
A digital transformation can help a business thrive. Developing a strong technology stack that works for your business is essential for growth. Investing in a digital transformation means finding what works for your business and ensuring the best operations through your digital tools.
There is a question a lot of engineering leaders are quietly sitting with right now: we have rolled out AI tools across the team, the developers seem faster, so why isn't more software actually shipping? It is a reasonable thing to consider. Pull requests are opening faster. Lines of code per sprint are up. The boilerplate that used to take full afternoons now takes minutes. By every local measure, the investment is paying off.