Using the AWS Cloud Development Kit (CDK) and CTO.ai's operational platform, businesses can significantly deploy their infrastructure deployment processes. This blog post explores into how AWS CDK and CTO.ai can be integrated to automate infrastructure deployment, focusing on a practical implementation using an ops.yaml file.AWS CDK…
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CTO.ai
Configuring Custom Dashboards with Grafana and CTO.ai Workflows
Grafana is a popular open-source platform for monitoring and observability, offering you the ability to create interactive and visually rich dashboards from various data sources, including but not limited to Prometheus, InfluxDB, and Elasticsearch. In this blog, we will walk through the steps to configure custom dashboards with Grafana and…
CTO.ai and Docker: A Beginner's Guide to Building a CI/CD Pipeline
IntroductionThis guide will walk you through using CTO.ai and Docker to establish a CI/CD pipeline, automating your software delivery process.What is CI/CDCI/CD stands for Continuous Integration and Continuous Deployment:Continuous Integration (CI): This is an automated process for testing code changes to ensure they integrate…
Best Practices for Workflow Management in CTO.ai
CTO.ai stands out for its efficiency and user-friendly approach to automating the build, test, and deployment processes. To get the most out of this robust platform, it's essential to follow some best practices for managing workflows. Here's how you can streamline your development cycle with CTO.ai, ensuring that…