Operations | Monitoring | ITSM | DevOps | Cloud

Virtual assistants are no longer just handling emails and scheduling meetings. In 2026, a growing number of tech companies are outsourcing QA testing, technical documentation, project coordination, and even DevOps support tasks to skilled virtual assistants - at 60-70% less than hiring equivalent local talent.

Why it's slowing your team down - especially when AI is writing the code.

As enterprises continue to change rapidly, businesses depend on Oracle-based ecosystems to track their finances, supply chains, HR, and customer operations. With the increase of digital transformation in companies, these environments continue to become more complex. As a result, manual testing is no longer enough for maintaining pace with ongoing updates, integrations and customizations that occur within an organization's systems. This is where AI-powered automated testing for Oracle applications revolutionizes how quality assurance is approached.

Everybody knows working with Kubernetes is really hard. It's highly complicated. You have to know how to work with YAMLs, there's lots of stuff to deal with. The classic developer experience with YAML. But what if you could get complete visibility into your Kubernetes workloads and run realistic load tests without touching a single YAML file or running kubectl commands? In this walkthrough, I'll show you how Speedscale makes Kubernetes observability and performance testing as simple as point-and-click.