Following the latest Google Cloud release notes (https://lnkd.in/e33FDsED), I've been diving into recent updates across Compute, Data, AI, and Security.

Here are a few highlights from that caught my attention:

✔️ GKE Kubernetes 1.35: Now available in the Rapid channel, bringing the latest upstream features to container orchestration. Note that cgroup v1 support has been removed in this version—something to watch if you're managing legacy workloads.

✔️ Cloud Run Java 25: The newest Java runtime is now Generally Available, keeping serverless deployments current with the latest language features.

✔️ BigQuery Iceberg Tables: Preview support for transferring data from Amazon S3, Azure Blob Storage, and Cloud Storage directly into BigLake Iceberg tables—a major step for open lakehouse architectures and multi-cloud data strategies.

✔️ Imperva WAF for Google Cloud: A cloud-native offering that inspects traffic directly within GCP using Service Traffic Extension and Private Service Connect. This aligns perfectly with an identity-first security posture.

✔️ Security Command Center Premium Pay-As-You-Go: Advanced AI, data security, and compliance monitoring features are now available to more customers—democratising access to enterprise-grade security tooling.

For those working with Google Cloud, staying on top of these updates ensures you're taking advantage of the latest performance, security, and integration capabilities. I'm particularly excited about the BigQuery Iceberg support for its impact on data portability and the new WAF integration for tightening security at the network edge.

If you've implemented any of these features or have insights on the roadmap, I'd love to hear how they're impacting your architecture. Let's connect and explore together!

#GoogleCloud #CloudArchitecture #GKE #BigQuery #SecurityByDesign #CloudSecurity #IdentitySecurity