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Lessons from scaling Intuit’s API gateway on Istio, including sidecar autoscaling, cross-zone costs, bin packing, canary releases, and regional failover.
See how Argo automates declarative Istio Ambient upgrades, progressive rollouts, and rollbacks when an outage is detected.
DevRev’s Istio journey traces scaling problems, connection losses, and the practices the team developed to make its service mesh work.
See how Kiali’s console goes beyond traffic graphs to help troubleshoot and isolate problems in an Istio mesh.
Learn how SPIFFE/SPIRE workload identities and Istio establish trust and secure communication across Kubernetes clusters.
Learn how to upgrade Istio in production by checking service compatibility, planning phased rollouts, and testing to reduce risk and preserve service continuity.
How Istio’s ambient mesh is architected to scale beyond a million endpoints, from sidecar removal to redesigned controllers and configuration protocols.
Tour Istio’s sidecar-free Ambient Mesh through hands-on exercises in onboarding, authorization, observability, fault injection, and traffic shifting.
A practical guide to applying Zero Trust principles to reduce lateral attack risks in multi-tenant Kubernetes clusters.
Compare three multi-tenancy architectures and weigh their tenant-specific tradeoffs, hidden costs, configuration needs, and long-term operational impact.
Learn how Flux can coordinate software delivery across Kubernetes tenants while addressing the security and operational challenges of multi-tenancy.
A look at designing a cloud-based developer platform that securely isolates engineering teams while providing shared infrastructure and paved paths for applications.
Learn how multi-tenant MLOps can isolate teams while sharing resources, using workflow isolation, quotas, access controls, and shared artifacts.
A wellsite case study shows how Kubernetes supports automation, equipment control, and monitoring across distributed, constrained edge locations.
See how Akri device discovery and WebAssembly runtimes can support scalable machine learning and sensor processing at the edge.
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