Keynote: From Silicon to Serverless: A Full Stack Journey

Intel's perspective on open source innovation in cloud computing and their developments in hardware topology aware scheduling and confidential computing technologies to enhance cloud cost, performance, and security. They are also working on innovative solutions to address the challenges of serverless computing.

• Intel is committed to the success of the open source community and takes a software first approach.
• Hardware topology aware scheduling can enhance cloud cost, performance, and security by taking into consideration the low layer hardware topology.
• Confidential computing technologies like SGX and TDX can build a trusted execution environment around the data when it is being processed.
• Intel is working on innovative solutions to address the challenges of serverless computing, such as code start latency and auto scaling speed.
• Intel has contributed to many open source projects spanning all the software stack.
• Intel invites feedback and encourages people to learn more about their work at Intel Boost in the solutions showcase.

Hardware topology aware scheduling can help with cost performance and security of the cloud. For example, if the cloud scheduler can take the low layer hardware topology into consideration, the CPU and memory on the server will be used more efficiently, resulting in lower cloud costs. Confidential computing technologies like SGX and TDX can build a trusted execution environment around the data when it is being processed, addressing the gap in data security when the data is in use.

The cloud native journey starts with silicon and ends with delivered applications. In this talk, Cathy Zhang will walk us through everything from cores to cloud.