terraform VS Grafana

2. Terraform (hashicorp/terraform) – Infrastructure as Code

Terraform is used to manage infrastructure. You can define your servers, databases, and networks in code, and Terraform will create them for you. It’s like DevOps magic. Written in Go.

Terraform: https://developer.hashicorp.com/terraform

Terraform or OpenTofu for infra as code

For more information on Docker, you can refer to the official Docker documentation and explore relevant open-source projects on Docker's GitHub. Additionally, for Terraform-related resources, check out the official Terraform documentation and Terraform GitHub.

In this post, I will share WebRTC.ventures' best practices in automating the deployment of AI-powered voice assistants for Amazon Connect, moving beyond manual, click-by-click setups to a robust, scalable Infrastructure as Code (IaC) approach. We’ll explore how to manage both static and dynamic resources, leverage tools like Terraform and AWS Serverless Application Model (SAM), and even set up an automated deployment pipeline using Github Actions to deploy your conversational IVR solutions efficiently.

We manage infrastructure with Terraform and lean heavily on GitHub Actions for CI/CD. Very simple but it works! Oh and a lot of bash scripts of course.

You can download Terraform from terraform.io and install it on your machine.

Claude also created the IAC for deploying the app on Hetzner, using Terraform as the configuration tool. I only had to provide my Hetzner API key for VPS resource provisioning and my Cloudflare API key for domain name DNS entry management. 🌐

Terraform Installed: Download and install Terraform from the website: https://www.terraform.io/

Power Live Dashboards and Proactive Alerts: Feed continuously updated KPIs from RisingWave into your BI tools like Grafana or Superset. Create alerts for critical business events, such as a high-value deal becoming at-risk or a sudden drop in MQLs from a key channel.

Performance Dashboards: Track workflow performance — latency, uptime, number of errors — with tools like Grafana.

Grafana Labs | Remote-first (and-only) | Senior / Staff Software Engineer | Full-time

I am looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences.

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; I am looking for someone who is excited about this sort of work.

For more details, look at the JD and at: https://github.com/grafana/grafana/blob/main/contribute/arch...

We are hiring only in: USA, Canada, Germany, UK, Spain, Sweden.

Tools like Prometheus for metric collection and Grafana for visualization and alerting form the backbone of modern observability stacks, providing the raw data that AI/ML models can then process for predictive insights.

Grafana - Metrics visualization and dashboards

Official Website: Grafana

Tools like Kibana and Grafana make it easy to filter by region, environment, and service. A good dashboard helps you answer questions like:

https://github.com/grafana/grafana/blob/v12.0.1/LICENSE being AGPLv3 likely is a non-trivial part of that

Monitoring and Logging: Tools like Prometheus and Grafana provide instant observability.

Grafana is a leading open-source platform for monitoring, visualization, and observability. Since its initial launch in 2014, Grafana has grown to become the standard for time series analytics, with over 68,000 GitHub stars and a thriving ecosystem of plugins and integrations. The platform allows users to query, visualize, alert on, and understand metrics no matter where they're stored, enabling the creation of beautiful dashboards to foster a data-driven culture.