infracost VS prometheus

‍Infracost is a cost estimation tool that generates cost estimates for Terraform projects, which is crucial for budget planning and cost optimization, especially in cloud environments where resource costs can vary significantly.

Infracost is a tool that provides cloud cost estimates for infrastructure managed by Terraform. It enables engineers to view and understand the financial impact of their infrastructure changes before they are applied. Infracost integrates directly into the workflow, offering cost breakdowns in various environments like the terminal, Visual Studio Code, or directly within pull requests. This feature allows for more informed decision-making regarding infrastructure modifications, promoting cost-awareness and budget management in the early stages of development. Infracost is particularly useful for teams looking to balance cloud resource utilization with budget constraints. Infracost Cloud is their SaaS product that builds on top of Infracost open source and works with CI/CD integrations. It gives team leads, managers and FinOps practitioners dashboards, guardrails, centralized cost policies and Jira integration so they can help guide the team (e.g. switch AWS GP2 volumes to GP3).

Inevitable end for every open source company since the free money ended. What bothers me is that wording is vague enough.

> HashiCorp considers a competitive offering to be a product or service provided to users or customers outside of your organization that has significant overlap with the capabilities of HashiCorp’s commercial products or services.

So, consider there is no cost estimate service and you built a thing that got popular (https://github.com/infracost/infracost). Then after 2 years Terraform Cloud catches up. What happens? Are you out of business?

I've started to work on Carbonifer, a tool that can estimate carbon emissions before deploying an infrastructure. A bit like infracost, this reads Terraform files and estimates carbon emissions if this plan is applied.

Infracost is an open-source project that helps us understand how and where we’re spending our money. It gives a detailed breakdown of actual infrastructure costs and calculates how changes impact them. Basically, Infracost is a git diff for billing.

Infracost: Estimativas de custos nos Pull Requests.

There is some discussion on the infracost issue tracker where it looks like this specific error is more common with tgenv

Cost:Infracost (estimation): https://github.com/infracost/infracostTerratag (tagging): https://github.com/env0/terratag (disclaimer, I am CEO at env0)

I use https://infracost.io 🤗

WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and

Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.

Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.

Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.

Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.

Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.

Prometheus

Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.

wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz

Prometheus: Open-source monitoring system. Often used together with Grafana.