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@devopslinks shared a link, 4 months, 2 weeks ago
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Why I Like Using Docker Compose in Production

A decade in, and this dev still rides with Docker Compose for production. Why? It just works. Clean deployments, solid uptime, same setup everywhere. No yak-shaving. It shines when you pair it with Git hooks for hands-off, zero-downtime deploys. No need to drag in Kubernetes unless you’re actually w.. read more  

Why I Like Using Docker Compose in Production
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@devopslinks shared a link, 4 months, 2 weeks ago
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Perfetto: Swiss Army Knife for Linux Client Tracing

Perfetto now pulls in mixed trace data -perfsamples, scheduler events, app-level instrumentation - and lines it all up on a single timeline. One view, no silos. It readstrace-cmd’s text format now, with smoother flame graphs, sharper bottom-up views, and SQL-powered filtering baked right into the UI.. read more  

Perfetto: Swiss Army Knife for Linux Client Tracing
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@devopslinks shared a link, 4 months, 2 weeks ago
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VMware Cloud Foundation – what’s actually going on?

Broadcom underwent significant changes post-VMware acquisition, with emphasis on subscription-based pricing and portfolio simplification. Prashant Shenoy claims VCF lowered prices by 50%, challenging industry norms about AI workloads on bare metal versus virtualized environments. Integration pointed.. read more  

News FAUN.dev() Team
@kaptain shared an update, 4 months, 2 weeks ago
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Kubernetes Gateway API 1.4.0 Makes Network Routing More Declarative and Reliable

Istio Kubernetes

Kubernetes releases Gateway API 1.4.0, enhancing service networking with new features like secure TLS connections and improved configuration options.

Gateway API Logo
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@kaptain shared an update, 4 months, 2 weeks ago
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Grafana Pushes the Limits of Metrics Performance with Mimir 3.0

Prometheus Grafana Mimir

Grafana Mimir 3.0 debuts with a new query engine and architecture, boosting performance, reliability, and cost efficiency.

Grafana Pushes the Limits of Metrics Performance with Mimir 3.0
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@anjali shared a link, 4 months, 2 weeks ago
Customer Marketing Manager, Last9

OpenTelemetry Metrics in Quarkus Explained

Understand how to enable, export, and extend OpenTelemetry metrics in your Quarkus application with practical examples.

otel_metrics_quarkus
News FAUN.dev() Team
@varbear shared an update, 4 months, 2 weeks ago
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Redis Fixes Critical Vulnerability - Update Your Instances Now

Redis

Redis addresses a critical remote code execution vulnerability, CVE-2025-49844, by releasing fixed versions and recommending best practices to protect instances.

Redis Fixes Critical Vulnerability - Update Your Instances Now
News FAUN.dev() Team
@devopslinks shared an update, 4 months, 2 weeks ago
FAUN.dev()

Pulumi’s Neo Now Fixes Infra Policy Violations - Not Just Flags Them

Pulumi

AI-powered remediation rolls out across Pulumi Cloud, bringing automated fixes, approval workflows, and cross-cloud compliance without requiring full migration to Pulumi IaC.

Pulumi’s Neo Now Fixes Infra Policy Violations - Not Just Flags Them
News FAUN.dev() Team
@devopslinks shared an update, 4 months, 2 weeks ago
FAUN.dev()

AWS Unveils Fastnet Cable to Boost Transatlantic Cloud Connectivity

Amazon Web Services

AWS introduces Fastnet, a high-capacity transatlantic subsea cable, to enhance network resilience and support growing cloud and AI demands, operational by 2028.

AWS Unveils Fastnet Cable to Boost Transatlantic Cloud Connectivity
News FAUN.dev() Team
@varbear shared an update, 4 months, 2 weeks ago
FAUN.dev()

GitHub Unveils Agent HQ: A Unified Platform for Managing AI Agents

GitHub Copilot

GitHub’s new Agent HQ unifies AI tools from OpenAI, Anthropic, and Google directly within GitHub. It offers centralized management for AI agents through mission control, custom agent setup, code quality tracking, and enterprise governance - all designed to streamline AI-driven development while keeping control and visibility in one place.

GitHub Unveils Agent HQ: A Unified Platform for Managing AI Agents
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.