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@tellsaqib shared a link, 2 months, 1 week ago

How Cloudways is manages its 90K servers fleet using Agentic SRE

Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fleet

How Cloudways is manages its 90K servers fleet using Agentic SRE
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@kala shared an update, 2 months, 1 week ago
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Anthropic Asked 81,000 People What They Want From AI. Here's What They Said.

Claude Code Claude

Anthropic's global AI study surveyed 80,508 participants across 159 countries, revealing desires for more personal time and concerns about AI's unreliability and job displacement. Sentiments vary regionally, with lower-income countries seeing AI as an equalizer, while Western Europe and North America focus on governance issues. The study highlights a complex mix of hope and fear regarding AI's impact.

Anthropic Asked 81,000 People What They Want From AI. Here's What They Said.
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@kala added a new tool Claude , 2 months, 1 week ago.
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@varbear shared a link, 2 months, 1 week ago
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How Slack Rebuilt Notifications

At Slack, notifications were redesigned to address the overwhelming noise issue by simplifying choices and improving controls. The legacy system had complex preferences that made it difficult for users to understand and control notifications. Through a collaborative effort, the team refactored prefe.. read more  

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@varbear shared a link, 2 months, 1 week ago
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The Slow Collapse of MkDocs

On March 9, 2026 a former maintainer grabbed the PyPI package forMkDocs. The original author's rights got stripped. Ownership snapped back within six hours. Core development stalled for 18 months.Material for MkDocswent into maintenance. The ecosystem splintered intoProperDocs,MaterialX, andZensical.. read more  

The Slow Collapse of MkDocs
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@varbear shared a link, 2 months, 1 week ago
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How we monitor internal coding agents for misalignment

AI systems are acting with more autonomy in real-world settings, with OpenAI focusing on responsibly navigating this transition to AGI by building capable systems and developing monitoring methods to deploy and manage them safely. OpenAI has implemented a monitoring system for coding agents to learn.. read more  

How we monitor internal coding agents for misalignment
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@varbear shared a link, 2 months, 1 week ago
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Why I Vibe in Go, Not Rust or Python

In a world where the machine writes most of the code, Python lacks solid type enforcement, Rust is overly strict with complex lifetimes, while Go strikes the right balance by catching critical issues without hindering development velocity. The article argues in favor of Go over Python and Rust for A.. read more  

Why I Vibe in Go, Not Rust or Python
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@varbear shared a link, 2 months, 1 week ago
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What if Python was natively distributable?

The Python ecosystem's insistence on solving multiple problems when distributing functions has led to unnecessary complexity. The dominant frameworks have fused orchestration into the execution layer, imposing constraints on function shape, argument serialization, control flow, and error handling. W.. read more  

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@kaptain shared a link, 2 months, 1 week ago
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AWS Load Balancer Controller Reaches GA with Kubernetes Gateway API Support

AWS ships GAGateway APIsupport in theAWS Load Balancer Controller. Teams can manageALBandNLBwith the SIG standard. The controller swaps annotation JSON for validated CRDs -TargetGroupConfiguration,LoadBalancerConfiguration,ListenerRuleConfiguration- and handles L4 (TCP/UDP/TLS) and L7 (HTTP/gRPC). M.. read more  

AWS Load Balancer Controller Reaches GA with Kubernetes Gateway API Support
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@kaptain shared a link, 2 months, 1 week ago
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jsongrep is faster than {jq, jmespath, jsonpath-rust, jql}

This article introduces a tool called jsongrep, explains the internal search engine it uses, and outlines the benchmarking strategy used to compare its performance with other JSON path-like query tools. The tool parses the JSON document, constructs an NFA from the query, determinizes the NFA into a .. read more  

jsongrep is faster than {jq, jmespath, jsonpath-rust, jql}
At its core, Argo CD treats Git as the single source of truth for application definitions. You declare the desired state of your Kubernetes applications in Git (manifests, Helm charts, Kustomize overlays), and Argo CD continuously compares that desired state with what is actually running in the cluster. When drift is detected, it can alert you or automatically reconcile the cluster back to the Git-defined state.

Argo CD runs inside Kubernetes and provides:

- Declarative application management
- Automated or manual sync from Git to cluster
- Continuous drift detection and health assessment
- Rollbacks by reverting Git commits
- Fine-grained RBAC and multi-cluster support

It integrates natively with common Kubernetes configuration formats:

- Plain YAML
- Helm
- Kustomize
- Jsonnet

Operationally, Argo CD exposes both a web UI and CLI, making it easy to visualize application state, deployment history, diffs, and sync status. It is commonly used in platform engineering and SRE teams to standardize deployments, reduce configuration drift, and enforce auditability.

Argo CD is part of the Argo Project, which is hosted by the Cloud Native Computing Foundation (CNCF), and is widely adopted in production Kubernetes environments ranging from startups to large enterprises.