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@kala shared a link, 1 month, 3 weeks ago
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The Pentagon is making a mistake by threatening Anthropic

Anthropic's Claude Gov, optimized for national security uses, has fewer restrictions than regular versions. The Pentagon is threatening retaliation if Anthropic does not waive these restrictions by Friday, including invoking the Defense Production Act or declaring Anthropic a supply chain risk. Anth.. read more  

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@kaptain shared a link, 1 month, 3 weeks ago
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From Chaos to Clarity: How We Built a Self-Healing CI/CD Pipeline That Talks to JIRA

Transitioning JIRA tickets to trigger deployments was key for this team struggling with manual deploys, leading to significant savings in time and reduction in errors. The architecture involved a JIRA Controller Pipeline, a Project Deployment Pipeline, and a JIRA Manager Pipeline, all aimed at seaml.. read more  

From Chaos to Clarity: How We Built a Self-Healing CI/CD Pipeline That Talks to JIRA
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@kaptain shared a link, 1 month, 3 weeks ago
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Before You Migrate: Five Surprising Ingress-NGINX Behaviors You Need to Know

The K8s blog exposesIngress-NGINXdefaults that clash withGateway API. These include case-insensitive prefix regexes. Host-wide annotation effects. Path rewrites. Slash redirects. URL normalization. Kubernetes retiresIngress-NGINXinMarch 2026.Gateway API 1.5graduatesListenerSetand theHTTPRoute CORS.. read more  

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@kaptain shared a link, 1 month, 3 weeks ago
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Spotlight on SIG Architecture: API Governance

Kubernetes SIG Architecture’s API Governance crew is tightening the screws on stability, consistency, and cross-cutting sanity across the whole API surface. Not just REST. They’re eyeing the overlooked stuff too - CLI flags, config formats, anything that shapes how users and tools touch the system. .. read more  

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@kaptain shared a link, 1 month, 3 weeks ago
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I Built a Production-Grade Kubernetes Platform in 48 Hours.

A dev built a production-grade Kubernetes platform in 48 hours, encountering challenges and solutions along the way. The setup included multiple layers such as infrastructure, cluster, platform, delivery, and observability, each requiring troubleshooting and adjustments. The process involved deployi.. read more  

I Built a Production-Grade Kubernetes Platform in 48 Hours.
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@devopslinks shared a link, 1 month, 3 weeks ago
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Google API Keys Weren't Secrets. But then Gemini Changed the Rules

A report reveals Google Cloud'sAPI keysuse the same format for public IDs and secret auth. That overlap lets public keys reach theGemini API. New keys default toUnrestricted. Existing keys can be retroactively granted Gemini access. Google will add scoped defaults, block leaked keys, and notify affe.. read more  

Google API Keys Weren't Secrets. But then Gemini Changed the Rules
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@devopslinks shared a link, 1 month, 3 weeks ago
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How to scale GitOps in the enterprise: From single cluster to fleet management

In GitOps, the "Argo Ceiling" is the point where tooling that worked at a small scale becomes unmanageable as you scale up to multiple clusters. To address this, you can consider using OCI registries and ConfigHub as alternative state store options. When it comes to secrets management, options like .. read more  

How to scale GitOps in the enterprise: From single cluster to fleet management
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@devopslinks shared a link, 1 month, 3 weeks ago
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Rendering 100M pixels a second over ssh

A massively multiplayer snake game accessible over ssh, capable of handling thousands of concurrent players and rendering over a hundred million pixels a second. The game utilizes bubbletea for rendering frames and custom techniques to reduce bandwidth usage to around 2.5 KB/sec. Performance improve.. read more  

Rendering 100M pixels a second over ssh
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@devopslinks shared a link, 1 month, 3 weeks ago
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LLMs Are Good at SQL. We Gave Ours Terabytes of CI Logs.

Mendral's agent runs ad‑hocSQLagainst compressedClickHouselogs. It traces flaky tests across months and scans up to 4.3B rows per investigation. They denormalize 48 metadata columns per log line. They compress 5.31 TiB down to ~154 GiB (~21 bytes/line) — a 35:1 ratio. That turns arbitrary filters in.. read more  

LLMs Are Good at SQL. We Gave Ours Terabytes of CI Logs.
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@varbear shared a link, 1 month, 3 weeks ago
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How we reduced the size of our Agent Go binaries by up to 77%

The Datadog Agent cut its Go binaries size by up to 77% in six months, removing unnecessary dependencies and enabling linker optimizations to trim artifacts significantly... read more  

BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).