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@devopslinks shared a link, 1 month, 2 weeks ago
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Terraform Workbook - Your Guide to Infra as Code (IaC)

This post outlines the various Terraform project files and their purposes, such as vars.tf for default variable declarations, terraform.tfvars for overriding default variable values, terraform.tf for tfstate backends and provider declarations, version.tf for Terraform version constraints, and .terra.. read more  

Terraform Workbook - Your Guide to Infra as Code (IaC)
News FAUN.dev() Team
@kaptain shared an update, 1 month, 2 weeks ago
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Docker Desktop 4.50 Supercharges Daily Development With AI, Security, and Faster Workflows

Docker Docker Desktop Docker Compose Kubernetes

Docker Desktop 4.50 enhances software development with improved debugging, AI integration, and enterprise security features, streamlining workflows and boosting productivity.

Docker Desktop 4.50 Supercharges Daily Development With AI, Security, and Faster Workflows
News FAUN.dev() Team
@kala shared an update, 1 month, 2 weeks ago
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Guido van Rossum: “AI Should Adapt to Python - Not the Other Way Around”

Python TypeScript

Guido van Rossum discussed Python's enduring relevance in AI and education at GitHub's Octoverse, emphasizing its clarity, accessibility, and community-driven growth despite TypeScript's rise.

Guido van Rossum: “AI Should Adapt to Python - Not the Other Way Around”
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@shurup shared a post, 1 month, 2 weeks ago
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Kubernetes 1.35 new alpha features

Kubernetes

The next Kubernetes release, v1.35, is scheduled for December 17th. It should bring 15 new Alpha features, including the following ones: - Gang scheduling support - Mutable PersistentVolume node affinity - Restart all containers on container exits - Consider terminating Pods in Deployments - CSI vol..

Kubernetes v1.35 release
News FAUN.dev() Team Trending
@varbear shared an update, 1 month, 2 weeks ago
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NordPass: Worst Passwords of 2025 and How Each Generation Compares

NordPass's latest research reveals the ongoing global reliance on weak passwords like "123456" and "password," despite slight improvements in security practices.

NordPass: Worst Passwords of 2025 and How Each Generation Compares
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@kaptain shared an update, 1 month, 2 weeks ago
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Kubernetes v1.35: A Deep Dive Into the Biggest Changes Before the December 17 Release

Kubernetes containerd

Kubernetes v1.35 release removes cgroup v1 and containerd v1.X support, urging admins to migrate to newer versions and adopt enhancements like in-place Pod updates and OCI image volume support.

Kubernetes v1.35: A Deep Dive Into the Biggest Changes Before the December 17 Release
News FAUN.dev() Team
@devopslinks shared an update, 1 month, 2 weeks ago
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Researcher Scans 5.6M GitLab Repositories, Uncovers 17,000 Live Secrets and a Decade of Exposed Credentials

TruffleHog AWS Lambda GitLab GitLab CI/CD Atlassian Bitbucket

A security research project led by Luke Marshall scanned 5.6 million GitLab repositories, uncovering over 17,000 live secrets and earning $9,000 in bounties, highlighting GitLab's larger scale and higher exposure risk compared to Bitbucket.

Researcher Scans 5.6M GitLab Repositories, Uncovers 17,000 Live Secrets and a Decade of Exposed Credentials
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@devopslinks added a new tool TruffleHog , 1 month, 2 weeks ago.
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@devopslinks shared an update, 1 month, 2 weeks ago
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AWS Optimizer Targets Unused NAT Gateways for Cost Savings

Amazon CloudWatch Amazon Web Services

AWS Compute Optimizer now helps identify unused NAT Gateways to boost cost savings by analyzing traffic activity and route table associations.

AWS Optimizer Targets Unused NAT Gateways for Cost Savings
News FAUN.dev() Team
@devopslinks shared an update, 1 month, 2 weeks ago
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GitLab Uncovers Massive npm Attack - Developers on High Alert

npm Amazon Web Services GitLab GitHub

GitLab's team discovers a large-scale npm supply chain attack with malware that spreads through npm packages, threatening data destruction if disrupted.

GitLab Uncovers Massive npm Attack - Developers on High Alert
Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storage—such as S3, GCS, or Azure Blob Storage—to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.