Why Autonomous AI Agents Can't Run on SaaS Infrastructure
SaaS AI fails when agents need continuous access to your codebase and internal APIs. Here's why BYOC is the only deployment model that works at scale.
Posts about cloud native
Browse 10 posts in this category
Moving Our Observability Data Collector from Sidecars to eBPF
Speedscale transitions from Kubernetes sidecar-based observability collection to eBPF for lower latency, reduced resource consumption.
What I Learned From Building an eBPF-Based Traffic Capture Application
Building a targeted eBPF network traffic capture tool reveals why a general-purpose eBPF observability agent is exponentially harder.
KubeCon Retrospective: Platform Engineering Needs to Do More Testing
Learn how digital twins and traffic replay, highlighted at kubecon, offer platform engineering teams a 'superpower' to test against real-world scenarios.
KubeCon + CloudNativeCon 2025: Recap
A marketing intern's high-energy recap of KubeCon 2025: discover major trends in Cloud Native AI, Platform Engineering, Security.
Part 3: Building a Production-Grade Traffic Capture and Replay System
Learn how to build a traffic replay system that validates services with production data.
Speedscale Proxymock: Freely testing cloud native apps alongside AI code assistants
Testing AI-generated code in cloud-native apps? Speedscale Proxymock provides a free tool for mock API endpoints and realistic sandboxes based on real.
Cascading Failures Aren’t Inevitable: Lessons from the AWS DNS Outage
The AWS DNS outage exposed the risk of cascading failures. Learn how to prevent a single DNS failure from taking down your system by mapping service.
Part 2: Building a Production-Grade Traffic Capture, Transform and Replay System
Learn how to build a traffic analysis tool for network traffic transformation. Complete guide covering traffic analysis techniques, parsing.