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Developers don’t care about Kubernetes clusters

Most cloud-native tools obsess over clusters. Not developers. That means poor support for things like promoting code between environments or deploying by feature - not just by repo. The author pushes for a better way: platforms that hide the Kubernetes mess and tame CI/CD. Think feature-driven deplo.. read more  

Developers don’t care about Kubernetes clusters
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@kaptain shared a link, 2 weeks, 6 days ago
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udwall: A Tool for Making UFW and Docker Play Nice With Each Other

Hexmos droppedudwall, a declarative firewall manager that finally makesUFWandDockerplay nice. Docker’s notorious for bulldozing past UFW rules via iptables. udwall patches that hole. It syncs rules across both, auto-reconciles changes, backs up configs, and plugs cleanly intoAnsible. No more duct-ta.. read more  

udwall: A Tool for Making UFW and Docker Play Nice With Each Other
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@kaptain shared a link, 2 weeks, 6 days ago
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Turning Kubernetes Last Access to Kubernetes Least Access Using KIEMPossible

KIEMPossible is a new open-source tool for Kubernetes entitlement cleanup. It maps out who has access to what - roles, entities, permissions - and shows how those are actually used across your clusters. Think of it as a permission microscope for AKS, EKS, GKE, and even the DIY K8s crowd. It breaks d.. read more  

Turning Kubernetes Last Access to Kubernetes Least Access Using KIEMPossible
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@kaptain shared a link, 2 weeks, 6 days ago
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The Grafana trust problem

Grafana’s been busy clearing the shelves.Grafana Agent,Agent Flow, andOnCall? All deprecated. The replacement:Grafana Alloy- a one-stop observability agent that handles logs, metrics, traces, and OTEL without flinching. Meanwhile,Mimir 3.0ships with a Kafka-powered ingestion pipeline. More scalabili.. read more  

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@kaptain shared a link, 2 weeks, 6 days ago
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Kubernetes Configuration Good Practices

Stripped down and sharp, the blog lays out Kubernetes config best practices: keep YAML manifests in version control, use Deployments (not raw Pods), and label like you mean it - semantically, not just alphabet soup. It digs into sneaky pain points too, like how YAML mangles booleans (yes≠true), and .. read more  

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@kaptain shared a link, 2 weeks, 6 days ago
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You Want Microservices—But Do You Need Them?

Amazon Prime Video ditched its pricey microservices maze and rebuilt as asingle-process monolith, cutting ops costs by 90%. No big press release. Just results. Same move from Twilio Segment. And Shopify. Both pulled their tangled systems back intomodular monoliths- cleaner, faster, easier to test, a.. read more  

You Want Microservices—But Do You Need Them?
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@kala shared a link, 2 weeks, 6 days ago
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How I Built a 100% Offline “Second Brain” for Engineering Docs using Docker & Llama 3 (No OpenAI)

Senior Automation Engineer built an offline RAG system for technical documents using Ollama, Llama 3, and ChromaDB in a Dockerized microservices architecture. The system enables efficient retrieval and generation of information from PDFs with a streamlined UI. The deployment package, including compl.. read more  

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@kala shared a link, 2 weeks, 6 days ago
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How to Evaluate LLMs Without Opening Your Wallet

A new mock-based framework lets QA and automation folks stress-test LLM outputs - no API calls, no surprise charges. It runs entirely local, usingpytest fixtures, structured test flows, and JSON schema checks to keep things tight. Test logic stays modular. Cross-validation’s baked in. And if you nee.. read more  

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@kala shared a link, 2 weeks, 6 days ago
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I tested ChatGPT’s backend API using RENTGEN, and found more issues than expected

A closer look at OpenAI’s API uncovers some shaky ground: misconfiguredCORS headers, missingX-Frame-Options, noinput validation, and borkedHTTP status handling. Large uploads? Boom..crash!CORS preflightrequests? Straight-up denied. So much for smooth browser support... read more  

I tested ChatGPT’s backend API using RENTGEN, and found more issues than expected
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@kala shared a link, 2 weeks, 6 days ago
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1,500+ PRs Later: Spotify’s Journey with Our Background Coding Agent

Spotify just gave its internal Fleet Management tooling a serious brain upgrade. They've wired inAI coding agentsthat now handle source-to-source transformations across repos - automatically. So far? Over 1,500 AI-generated PRs pushed. Not just lint fixes - these include heavy-duty migrations. They'.. read more  

1,500+ PRs Later: Spotify’s Journey with Our Background Coding Agent
Botkube is a Kubernetes-centric chatbot that aids in Kubernetes troubleshooting and provides valuable insights for various aspects of Kubernetes operations. This open-source tool integrates with popular messaging platforms like Slack and helps streamline Kubernetes management and problem-solving processes.

Key functionalities of Botkube include:

Alert Notifications: Botkube can be configured to receive and relay alerts from various monitoring tools (e.g., Prometheus, Grafana) directly to your team's communication platform, ensuring prompt incident awareness.

Kubernetes Event Monitoring: It continuously monitors Kubernetes cluster events, offering real-time information on changes and issues within your cluster, such as pod crashes or node failures.

Troubleshooting Assistance: Botkube can provide context-sensitive guidance and suggestions for debugging and resolving common Kubernetes problems, making it a valuable resource for both beginners and experienced Kubernetes users.

Resource Management: It can assist in resource optimization by providing recommendations for scaling deployments, managing resource quotas, and handling updates to your applications.

Security Insights: Botkube can help maintain Kubernetes security by alerting you to security breaches, unauthorized access, and vulnerabilities, allowing you to take immediate action.

Customization: Botkube is highly customizable, allowing you to tailor it to your specific needs and integrate it with other tools and scripts in your Kubernetes ecosystem.

In summary, Botkube serves as a Kubernetes assistant that enhances communication and awareness within your team while providing automated support for troubleshooting, monitoring, and managing your Kubernetes clusters, ultimately contributing to a more efficient and reliable Kubernetes operation.