Operations | Monitoring | ITSM | DevOps | Cloud

Canonical is pleased to share its latest research report, “The open source chain of trust.” Based on a survey of 500 DevOps professionals, the report highlights how organizations approach their open source software supply chains. While many companies are moving toward verifiable provenance and automated security workflows, internal misalignment and disjointed approaches remain serious challenges for most teams. Read the report.

In the traditional automotive world, teams often work in silos: the cybersecurity experts lock down the ports, the quality assurance teams hunt for bugs, and the functional safety engineers track the ISO 26262 compliance. At Canonical, we believe this fragmented workflow causes friction rather than collaboration. You cannot have a safe vehicle that isn’t secure, and you cannot have a secure vehicle running on poor quality code. This friction results in a slow and rigid development process.

GPT-4 API pricing spans $0.10 to $30.00 per million input tokens across the model family. GPT-4.1 is the current recommended production model at $2.00 input / $8.00 output per million tokens. Legacy GPT-4 still runs at $30.00/$60.00 per million tokens -- 15x more expensive for no meaningful quality gain. For finance and engineering leaders accountable for AI spend, choosing the right GPT-4 variant is the single biggest cost lever on your bill.