Operations | Monitoring | ITSM | DevOps | Cloud

South Africa has cemented itself as Africa’s biggest cloud hub, with Johannesburg emerging as a key centre for cloud connectivity in the country. It has seen significant investment from the three major hyperscalers - AWS, Microsoft Azure, and Google Cloud - all of which have a local presence in Johannesburg. This makes the city a strategic launchpad for cloud services, AI innovation, and digital transformation across the African region.

This blog is based on the webinar, “Panel Discussion: Understanding the importance of GPUs for AI success”. You can watch the full recording by clicking here! For AI startups, GPUs are both an engine for innovation and a major expense. They’re the key to training models faster, running complex inferences, and staying ahead of the competition, but they can also drain a startup’s resources if not used strategically.

Managing the cost of foundation models is a critical challenge as AI adoption surges, particularly for teams using powerful models like Anthropic's Claude Opus and Claude Sonnet. Growing teams generate larger prompt volumes and escalating model complexity, making it difficult to have clear visibility, accountability, and control of cloud AI spending.

When it comes to building fast, reliable, and user-friendly PHP applications, performance and stability are everything. A small slowdown in load times, a memory leak, or unhandled errors can frustrate users, impact revenue, and harm your brand’s reputation. This is why PHP Application Monitoring has become a necessity for businesses of all sizes.

Automation has transformed incident response within individual teams. Diagnostic scripts, runbooks, and alert systems help engineers troubleshoot and resolve issues more efficiently. Translating those gains across the organization remains a challenge. Most automations are built in silos and not designed to work together. The result: disconnected workflows, inconsistent outcomes, and too much manual effort, leaving teams with less time for the strategic work that drives innovation and resilience.

If your organization is anything like ours, then you’ve probably embraced using large language models like Claude. Just last week, we gave all Honeycomb employees access to Claude. Now, developers can generate AI-assisted code, product managers can perform analysis on customer usage trends, marketers can test messaging, sales can do customer discovery and we are shipping AI-powered features to improve user experience.