#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

#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

#python #agent #agentops #agents_sdk #ai #anthropic #autogen #cost_estimation #crewai #evals #evaluation_metrics #groq #langchain #llm #mistral #ollama #openai #openai_agents

AgentOps is a tool that helps developers monitor and improve AI agents. It provides features like session replays, cost management for Large Language Models (LLMs), and security checks to prevent data leaks. This platform allows you to track how your agents perform, interact with users, and use external tools. By using AgentOps, you can quickly identify problems, optimize agent performance, and ensure compliance with safety standards. It integrates well with popular platforms like OpenAI and AutoGen, making it easy to set up and use[1][3][5].

https://github.com/AgentOps-AI/agentops

#go #aws #azure #cncf #cost #cost_optimization #finops #gcp #k8s #kubernetes #monitoring #opencost #prometheus

OpenCost is a free, open-source tool that helps you see and understand the costs of running Kubernetes clusters and cloud services in real time. It breaks down costs by cluster, node, namespace, pod, and more, across multiple cloud providers like AWS, Azure, and GCP, and even supports on-premises setups. This lets you track where your money is going, spot expensive resources, and manage your cloud spending better. It integrates with Prometheus for metrics and offers a user-friendly web interface and APIs for easy cost monitoring and exporting. Using OpenCost helps you control and optimize your cloud and Kubernetes expenses efficiently[1][2][3][4].

https://github.com/opencost/opencost