AI-Powered Auto-Scaling for Kubernetes
Introduced predictive scaling models that analyze traffic patterns 15 minutes in advance. Reduces cold starts by 68% and optimizes cluster resource allocation automatically.
Read release notes →Transparent updates on infrastructure improvements, security patches, and new features. Track exactly what's changing across CloudNexus.
Introduced predictive scaling models that analyze traffic patterns 15 minutes in advance. Reduces cold starts by 68% and optimizes cluster resource allocation automatically.
Read release notes →All edge nodes now enforce TLS 1.3 for incoming traffic. Added automatic certificate rotation with 0-downtime renewal across all managed domains.
View security advisory →Resolved an intermittent cache eviction bug causing 200-400ms DNS lookup delays. Implemented persistent resolver state for improved query performance.
Technical details →Optimized container warm pool allocation and kernel scheduling. Cold start latency improved from 340ms to 120ms on average across all regions.
Performance benchmarks →Deploy production-ready Redis instances with sentinel clustering, automatic primary election, and cross-region replication. Available in all 50 data centers.
Documentation →Fixed unbounded memory growth in HTTP/2 multiplexing worker pools. Memory footprint now stabilizes under sustained 10k RPS loads.
Post-mortem report →Rolled out updated cryptographic libraries across all orchestration nodes. Mitigates CVE-2024-XXXX and strengthens handshake validation.
Security bulletin →Replaced fixed-window rate limiting with sliding-window algorithm. More accurate quota tracking and reduced false throttling during traffic spikes.
API changes →