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Happy September 8th, makers and movers!
We’re officially past Labor Day and rolling full speed into fall — a season of big projects, fresh initiatives, and plenty of innovation. Whether last week gave you a chance to reset or you hit the ground running, now’s the perfect time to refocus and gear up for what’s next.
This week’s issue is packed: Kubernetes just introduced PSI metrics in beta for sharper performance insights, Docker patched a critical container escape vulnerability, Apache Kafka dropped a major new release, and the AI tooling wars are heating up with Claude Code frameworks battling for developer mindshare.
Top off your coffee and let’s dive into this week’s must-know stories — we’ll make sure you’re caught up and ready to tackle the week ahead.
Kubernetes v1.34: PSI Metrics for Kubernetes Graduates to Beta
Pressure Stall Information (PSI) metrics are now officially in beta in Kubernetes v1.34—a key upgrade for performance observability. PSI, a Linux kernel feature (v4.20+), measures real resource pressure (CPU, memory, I/O) by tracking when tasks stall due to contention. Metrics are offered at node, pod, and container levels via the Summary API and the /metrics/cadvisor endpoint in Prometheus format. Both some (partial stalls) and full (complete stalls) pressure are tracked across 10-s, 1-min, and 5-min windows, enabling deeper insights into bottlenecks. To enable it, ensure your Linux nodes use cgroup v2 and activate the KubeletPSI feature gate. Expect support for memory leak detection, better resource tuning, and autoscaling—one more step toward making Kubernetes both smarter and more resilient. kubernetes.io
Apache Kafka 4.1.0 Debuts with Queues & Smarter Client Enhancements
Apache Kafka 4.1.0: Queues, Smarter Clients, Better Metrics
Kafka 4.1.0 introduces Queues for Kafka (KIP-932), enabling queue-style consumer groups with individual message acks (preview feature). The release also brings a new Streams rebalance protocol, expanded plugin metrics, improved transaction error handling, flexible consumer shutdown options, more memory-efficient rack-aware rebalancing, and cleaner topic metrics. Together, these updates make Kafka more reliable, observable, and developer-friendly. Read more ›
Docker Desktop Patch Released for Critical Container Escape Flaw (CVE-2025-9074)
Critical Docker Desktop Vulnerability Patched (CVE-2025-9074)
Docker has patched a severe container escape flaw (CVSS 9.3) in Docker Desktop for Windows and macOS with version 4.44.3. The bug exposed the Docker Engine API to unauthenticated access from containers, allowing attackers to launch new containers or manipulate host files. On Windows, this could lead to full system compromise; macOS is slightly safer but still at risk. Enhanced Container Isolation (ECI) does not mitigate the issue, so upgrading is strongly recommended.
Read more ›
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Claude Code Framework Wars: Choosing the Right AI Coding Ally
As the Claude Code ecosystem grows, developers face an expanding choice of frameworks—like SuperClaude, BMAD, Claude Flow, and Awesome Claude—each with different orchestration models, UX philosophies, and support for sub-agents. This article breaks down how they compare, from local zero-setup tools to enterprise orchestration platforms, and explores how Anthropic’s sub-agents are driving a shift toward modular, parallelized development.
Read more ›
Learning Lens
Workshop: Build MCP-Ready REST APIs
This month, we’re hosting a hands-on workshop that will teach you how to build REST APIs that are fully MCP-ready — so you can start integrating data sources and services into your Model Context Protocol environment with confidence.
In this live session, you’ll learn how to:
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Design and build REST endpoints specifically for MCP
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Structure payloads and responses for MCP compatibility
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Test and validate your APIs for seamless integration
📅 Date: September 29-30
💸 Early Bird Discount: 30% off when you register by September 10th
👉 Register now and save your seat before early bird pricing ends!
Why it matters: MCP is rapidly becoming the backbone for building connected, interoperable systems. Knowing how to create MCP-ready APIs will give you a powerful skill set to bring new data sources online faster and build future-proof architectures.
Byte-Sized Brilliance
The Internet Once Fit on a Truck
In 1988, a researcher famously joked that the fastest way to transfer huge amounts of data was to “never underestimate the bandwidth of a station wagon full of tapes hurtling down the highway.” This idea became real decades later: in 2013, Amazon literally launched AWS Snowmobile—a semi-truck that can physically move up to 100 PB of data at once. Sometimes, the fastest “cloud transfer” still has wheels.
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