#python #airflow #airflow_operators #aws #aws_ec2 #aws_s3 #aws_sdk #cassandra #cassandra_database #cloudformation #cluster #data #data_engineering #data_engineering_pipeline #data_lake #data_modeling #data_warehouse #etl_pipeline #infrastructure #postgres #postgresql_database

https://github.com/san089/Udacity-Data-Engineering-Projects

#typescript #developer_experience #developer_portal #dx #infrastructure #platform #service_catalog

https://github.com/spotify/backstage

#go #aws_ecs #aws_fargate #aws_fargate_application #cd_pipelines #containers #developer_tools #devops #infrastructure_as_code #modern_applications

https://github.com/aws/copilot-cli

#go #architecture #aws #aws_security #azure_security #cloud_security #cloudsecurity #devops #devsecops #gcp_security #iac #infrastructure #infrastructure_as_code #kubernetes #sast #scans #security #security_tools #security_violations #terraform #terrascan

https://github.com/accurics/terrascan

#go #aws #cloud #azure #terraform #gcp #infrastructure_as_code #cost_estimation #cost_optimization #cost_management #terraform_cost_estimation #monthly_costs #cloud_cost_estimates

https://github.com/infracost/infracost

#go #best_practices #cli #datree #guardrail #infrastructure_management #kubernetes #policy #static_code_analysis

https://github.com/datreeio/datree

#other #ci_cd #cloud #cloud_computing #cloud_native #devops #docker #infrastructure #interview_preparation #k3s #kubernetes #linux #monitoring #networking #testing #tools

https://github.com/kunal-kushwaha/DevOps-Bootcamp

#typescript #aws #azure #cloud_cost_estimates #cost_estimation #cost_management #cost_optimization #finops #gcp #google #infrastructure_as_code #terraform #terraform_cost_estimation

https://github.com/infracost/vscode-infracost

#other #awesome #awesome_list #devops #hashicorp_terraform #infrastructure_as_code #terraform #terraform_modules

https://github.com/shuaibiyy/awesome-terraform

#python #framework #fullstack #infrastructure #open_source #python_library #python3 #web #webdev

https://github.com/pynecone-io/pynecone

#open_policy_agent #appsec #cloudnative #devsecops #golang #hacktoberfest #iac #infrastructure_as_code #open_policy_agent #security #security_tools #vulnerability_detection #vulnerability_scanners

https://github.com/Checkmarx/kics

#go #app_mesh #cloud_native #cncf #consul #control_plane #docker #envoy #gitops #golang #gsoc #hacktoberfest #infrastructure_as_code #istio #kubernetes #linkerd #management_plane #meshery #reactjs #service_mesh #visualization

https://github.com/meshery/meshery

#java #cloud #cloudstack #iaas #infrastructure #kubernetes #kvm #libvirt #orchestration #python #virtual_machine #virtualization #vmware #vsphere #xcp_ng #xenserver

https://github.com/apache/cloudstack

#html #blueteam #cloud_native #cloud_security #cloudsecurity #container #container_security #devsecops #docker #hacking #infrastructure #k8s #kubernetes #kubernetes_goat #kubernetes_security #owasp #pentesting #redteam #security #vulnerable_app

https://github.com/madhuakula/kubernetes-goat

#go #containers #devsecops #docker #go #golang #hacktoberfest #iac #infrastructure_as_code #kubernetes #misconfiguration #security #security_tools #vulnerability #vulnerability_detection #vulnerability_scanners

Trivy is a powerful tool that helps you find security issues in various places like container images, filesystems, Git repositories, and more. It checks for vulnerabilities, misconfigurations, sensitive information, and software licenses. Trivy supports many programming languages and platforms, making it very versatile. You can easily install it using methods like `brew install trivy` or `docker run aquasec/trivy`. It also integrates with popular tools like GitHub Actions and Kubernetes. Using Trivy helps you secure your projects by identifying potential security problems early, which is very beneficial for keeping your software safe and reliable.

https://github.com/aquasecurity/trivy

#python #automation #data #data_engineering #data_ops #data_science #infrastructure #ml_ops #observability #orchestration #pipeline #prefect #python #workflow #workflow_engine

Prefect is a tool that helps you automate and manage data workflows in Python. It makes it easy to turn your scripts into reliable and flexible workflows that can handle unexpected changes. With Prefect, you can schedule tasks, retry failed operations, and monitor your workflows. You can install it using `pip install -U prefect` and start creating workflows with just a few lines of code. This helps data teams work more efficiently, reduce errors, and save time. You can also use Prefect Cloud for more advanced features and support.

https://github.com/PrefectHQ/prefect