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@faun shared a link, 1 year ago
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Kubernetes 1.33 “Octarine” Released: Native Sidecars and In-Place Pod Resizing

Kubernetes 1.33rolls out as the hero of sidecar containers, smoothing out their lifecycle wrinkles. Now, sidecars launch before and wrap up after the main event—your app containers. Meanwhile, in-place pod resizing steps up to beta status. Tweak resources without nuking your app’s smooth run—a gift .. read more  

Kubernetes 1.33 “Octarine” Released: Native Sidecars and In-Place Pod Resizing
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Migrating Uber’s Compute Platform to Kubernetes: A Technical Journey

Uber dumped Mesos and hitched its ride to Kubernetes, rolling out a fleet of clusters across regions with sleek automation. They didn’t just switch platforms — they rewired the engine room. Thanks to crafty scheduling tweaks and sidecar tricks, devs didn’t feel a bump. All gas, no brakes on their cl.. read more  

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@faun shared a link, 1 year ago
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Kubectl Get Hacked

Kubeconfigfiles, those sneaky little devils, can throw open the door to peril inAWS EKS. They hand over the keys to the kingdom by sneaking in unapproved exec directives. If you're not paying attention, you risk a security meltdown. Dig deep into these files. Get lazy, and you're practically begging.. read more  

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@faun shared a link, 1 year ago
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Understanding the threat landscape for Kubernetes and containerized assets

Kubernetes packs a punch, but it drags along some gnarly new security headaches. Wrangling those containerized risks? That's the real rodeo... read more  

Understanding the threat landscape for Kubernetes and containerized assets
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How Discord Indexes Trillions of Messages

Discord's revamped search engine leans onKubernetesand theElastic Kubernetes Operatorto shake up its query structure. No more lumbering clusters. They’ve split them into smaller, sprightlier versions. With this new trick, Discord can nowefficiently index and search your DMs, thanks to savvy sharding.. read more  

How Discord Indexes Trillions of Messages
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Amazon EKS introduces node monitoring and auto repair capabilities

Amazon EKSjust leveled up. Node monitoring and auto repair now save you from node drama, kicking out defective nodes without breaking a sweat.NMAhandles the heavy lifting, even throwing in GPU checks, making it a game-changer forML workloads... read more  

Amazon EKS introduces node monitoring and auto repair capabilities
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@javinpaul shared a post, 1 year ago
Blogger, Programmer, Developer

Top 6 System Design and API Design Interview Courses for Experienced Developers

System Design is hard but not impossible, these courses will help you to learn System Design and API design essentials for interviews

30 Essential System Design Concepts
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Easily Query Multiple Metrics in Prometheus

Learn how to efficiently query multiple metrics in Prometheus, simplifying your monitoring workflow and enhancing visibility into your systems.

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@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID

Firewall Load Balancing

🔐 Why Firewall Load Balancing (FWLB) Is a Must in Modern Data Centers In today’s IT landscape, ensuring the security of your network, servers, and applications is non-negotiable. As connectivity demands rise, having a scalable and highly available firewall infrastructure becomes critical—and this is..

Knowledge base_What is Firewall Load Balancing (FWLB)_RELIANOID
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Apache Logs Explained: A Guide for Effective Troubleshooting

Learn how to read and analyze Apache logs to troubleshoot issues effectively and keep your web server running smoothly.

Debug Logging_ A Comprehensive Guide for Developers
NanoClaw is an open-source personal AI agent designed to run locally on your machine while remaining small enough to fully understand and audit. Built as a lightweight alternative to larger agent frameworks, the system runs as a single Node.js process with roughly 3,900 lines of code spread across about 15 source files.

The agent integrates with messaging platforms such as WhatsApp and Telegram, allowing users to interact with their AI assistant directly through familiar chat applications. Each conversation group operates independently and maintains its own memory and execution environment.

A core design principle of NanoClaw is security through isolation. Every agent session runs inside its own container using Docker or Apple Container, ensuring that the agent can only access files and resources that are explicitly mounted. This approach relies on operating system–level sandboxing rather than application-level permission checks.

The architecture is intentionally simple: a single orchestrator process manages message queues, schedules tasks, launches containerized agents, and stores state in SQLite. Additional functionality can be added through a modular skills system, allowing users to extend capabilities without increasing the complexity of the core codebase.

By combining a minimal architecture with container-based isolation and messaging integration, NanoClaw aims to provide a transparent, customizable personal AI agent that users can run and control entirely on their own infrastructure.