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Sandboxed to Compromised: New Research Exposes Credential Exfiltration Paths in AWS Code Interpreters

Researchers poked holes insandboxed Bedrock AgentCore code interpreters—and found a way to leak execution role credentials through theMicroVM Metadata Service (MMDS). No outside network? Doesn’t matter. The exploit dodges basic string filters in requests and lets non-agentic code swipe AWS creds to .. read more  

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Deploy a containerized application with Kamal and Terraform

A Docker-first workflow combinesTerraformandKamalinto a lean, Elastic Beanstalk-ish alternative—without the bloat. Terraform spins up a three-tier VPC and wires it toECR. Kamal takes it from there, booting containers on a raw EC2 box: app, proxy, monitor. One script. Done... read more  

Deploy a containerized application with Kamal and Terraform
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AWS, Microsoft and Google unite behind Linux Foundation DocumentDB database to cut enterprise costs and limit vendor lock-in

Document databases are crucial for AI apps in the gen AI era. Microsoft's open-source DocumentDB project, based on PostgreSQL, is moving to the Linux Foundation, offering a vendor-neutral, open-source alternative to MongoDB. DocumentDB's compatibility with MongoDB drivers and open source governance .. read more  

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Measuring Developer Productivity with Amazon Q Developer and Jellyfish

Amazon Q Developer now plugs into Jellyfish. Teams get a clearer view of how AI fits into the real flow of work—prompt usage, code adoption, PR throughput. Not just surface stats. The setup pipes data from AWS S3 straight into Jellyfish’s analytics engine. It tags AI users, tracks velocity gains, an.. read more  

Measuring Developer Productivity with Amazon Q Developer and Jellyfish
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Which LLM writes the best analytical SQL?

Tinybird threw 19 top LLMs at a 200M-row GitHub dataset, testing how well they could turn plain English into solid SQL. Most models kept their syntax clean—but when it came to writing SQL that actually ran well and returned the right results, they lagged behind human pros. Messy schemas or tricky pr.. read more  

Which LLM writes the best analytical SQL?
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Being on the Same Page During an Incident: Not Actually Telepathy

Collaboration in incident response is crucial for effective resolution, starting with establishing a basic compact among responders. Grounding is a process that ensures alignment and common ground is maintained throughout an incident, encompassing initial common ground, public events so far, and the.. read more  

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Building a Scalable, Flexible, Cloud-Native GenAI Platform with Open Source Solutions

A fresh reference architecture built withEnvoy AI GatewayandKServebrings order to the GenAI chaos. One clean interface to route requests across internal and external LLMs—locked down with policies. It’s called aTwo-Tier Gateway Architecture. Think of it like a split-brain: external API traffic goes.. read more  

Building a Scalable, Flexible, Cloud-Native GenAI Platform with Open Source Solutions
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v1.34: DRA has graduated to GA

Kubernetes 1.34 turnsDynamic Resource Allocation (DRA)loose into General Availability—enabled by default. That cements native support for high-maintenance gear like GPUs, FPGAs, and any other quirky hardware your workloads need. The release also packs a fresh mix of alpha/beta features: tighter admi.. read more  

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v1.34: Service Account Token Integration for Image Pulls Graduates to Beta

Kubernetes v1.34 bumpsServiceAccount token integration for Kubelet Credential Providersto beta. That means image pulls can now ditch long-lived secrets for workload-scoped tokens. Cleaner, safer, and more locked down per ServiceAccount... read more  

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v1.34: Introducing CPU Manager Static Policy Option for Uncore Cache Alignment

Kubernetes 1.34 bumps theCPU Manager uncore-cache alignment policyto beta. It’s aimed at nodes withsplit uncore cache architectures. The policy groups all a container’s CPUs under the same uncore cache—cutting latency and easing contention for workloads that hate waiting. System shift:Kubernetes kee.. read more  

v1.34: Introducing CPU Manager Static Policy Option for Uncore Cache Alignment
Tor (The Onion Router) is an open-source network and software suite designed to protect user privacy and enable anonymous communication on the internet. It works by routing network traffic through a distributed, volunteer-run network of relays, encrypting data in multiple layers so that no single relay knows both the source and destination of the traffic. Tor is widely used to defend against traffic analysis, surveillance, and censorship. By obscuring IP addresses and routing paths, it helps users browse the web anonymously, publish information safely, and access services without revealing their location or identity. The network supports standard web traffic as well as specialized .onion services, which allow websites and services to operate anonymously without exposing their physical hosting location. Beyond web browsing, Tor is used as a foundational privacy layer for secure messaging, whistleblowing platforms, journalism, activism, academic research, and secure system administration. It is also integrated into many privacy-focused operating systems and tools. While Tor can reduce traceability, it does not make users invulnerable and must be used with proper operational security to avoid deanonymization risks. Tor is developed and maintained by the Tor Project, a nonprofit organization dedicated to advancing digital privacy and freedom worldwide