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23:43
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Highlights
- Pro
🏗️ DevOps
Terraform module which calculates price of AWS infrastructure (from Terraform state and plan) 🇺🇦
Use Python to process Excel spreadsheets containing VM resources and retrieve pricing from the AWS Pricing API.
Tool to look up AWS cost by service & month using AWS cost explorer
CLI tool to perform cost analysis on your AWS account with Slack integration
Trackit helps you understand and improve your use of AWS
Application to extract usefull information from Aws Billing Report
AWS Application Dollar Monitoring
AWS Untagged Resources S3 and Email report
A monkey increases your visibility on AWS bills via Slack 🐒
Awesome resources for managing AWS cost.
Google Sheets add-on for AWS Pricing
A declarative pipeline orchestrator with the magic of HCL as a configuration language, inspired from Terraform's architecture.
Kube-native API for cloud development workspaces specification
Kubescape is an open-source Kubernetes security platform for your IDE, CI/CD pipelines, and clusters. It includes risk analysis, security, compliance, and misconfiguration scanning, saving Kubernet…
Cross-cloud cost allocation models for Kubernetes workloads
Automated turndown of Kubernetes clusters on specific schedules.
Open-source, cloud-native, unified observability database for metrics, logs and traces, supporting SQL/PromQL/Streaming.
eBPF Observability - Distributed Tracing and Profiling
A fancy, easy-to-use and reactive self-hosted docker compose.yaml stack-oriented manager
A cross-account and cross-region solution that allows customers to automatically start and stop EC2 and RDS Instances
A minimal private module registry for Terraform and OpenTofu
Cache dependencies and build outputs in GitHub Actions
Save $$$ and make GitHub Actions go brrr with 3rd-party runners ⚡🤖
a GitHub action to install (pre-release) pythons from deadsnakes
Timoni is a package manager for Kubernetes, powered by CUE and inspired by Helm.
The Captain CLI can detect and quarantine flaky tests, automatically retry failed tests, partition files for parallel execution, produce markdown failure summaries, and more. It's compatible with m…
Embed machine learning models in your Dockerfile





