Cloud Computing | News, how-tos, features, reviews, and videos
The cloud has given us the gift of abstraction when it comes to AI workloads, but you have to understand what you’re getting.
Spurred on by an army of enthusiastic consultants with prepackaged solutions, companies forgot that technology should serve business needs, not the other way around.
Four things are necessary for application-level resilience and high availability: clustering, data replication, failover, and disaster recovery. Let’s look at each and how to architect for them.
Amazon Bedrock AgentCore shows how AI agents could make cloud migration faster, safer, and more useful across heterogeneous enterprise platforms.
The problem is not the model. It’s the enterprise adding a model to bad data, poor processes, and missing governance.
AWS could use DuckLabs’ expertise to embed DuckDB more deeply into its data stack, but analysts say the project’s center of gravity may increasingly shift toward the cloud provider.
The cloud will keep growing, but enterprises should not assume that infrastructure capacity, especially electricity, will materialize whenever they issue a purchase order.
Mega AI infrastructure deals are reshaping cloud computing, but enterprises should slow down before buying their way into another generation of technical debt.
The AI revenue surge is impressive, but enterprise IT still relies on the core services that made the public cloud valuable in the first place. Providers would do well to remember.
