Bazel builds can be significantly accelerated by using remote caching, which reuses build outputs and reduces build times on CI runners. This is facilitated by Bazel’s remote cache, which operates via simple HTTP requests and stores two main types of data: action cache metadata and a content-addressable store for output files. The blog post outlines how to deploy a self-hosted Bazel remote cache using bazel-remote, a Go-based service that supports writing to various storage backends, including local disks and cloud storage services like Amazon S3 and Google Cloud Storage. The post details how to deploy bazel-remote on AWS using infrastructure-as-code tools like Terraform and Pulumi, which set up necessary AWS components, such as ECS clusters and load balancers, and emphasizes using HTTPS and compression to optimize performance. It also explores advanced configurations, like partitioned and tiered caching, and highlights the advantages of using cloud object storage for hosting the cache. The post concludes by suggesting Buildkite as a suitable platform for managing Bazel's scale and complexity, noting that the Bazel team itself uses Buildkite for its CI system.