Conor Barber explores the evolution of infrastructure from YAML configurations to pipelines-as-code, focusing on modern CI/CD systems like GitHub Actions, GitLab, and CircleCI. The presentation was given at QCon San Francisco 2023, discussing how moving away from YAML can improve scalability, cost efficiency, and developer experience.
K8sGPT is a tool for scanning Kubernetes clusters, diagnosing issues in simple English, and enriching data with AI. It helps with workload health analysis, security CVE review, and more.
AIaC is an Artificial Intelligence Infrastructure-as-Code Generator, providing community support and tools to streamline AI infrastructure setup.
Eran Bibi, co-founder and chief product officer at Firefly, discusses two open-source AI tools, AIaC and K8sGPT, that aim to reduce DevOps friction by automating tasks such as generating IaC code and troubleshooting Kubernetes issues.
- AIaC (AI as Code):
An open source command-line interface (CLI) tool that enables developers to generate IaC (Infrastructure as Code) templates, shell scripts, and more using natural language prompts.
Example: Generating a secure Dockerfile for a Node.js application by describing requirements in natural language.
Benefits: Reduces the need for manual coding and errors, accelerating the development process.
- K8sGPT:
An open source tool developed by Alex Jones within the Cloud Native Computing Foundation (CNCF) sandbox.
Uses AI to analyze and diagnose issues within Kubernetes clusters, providing human-readable explanations and potential fixes.
Example: Diagnosing a Kubernetes pod stuck in a pending state and suggesting corrective actions.
Benefits: Simplifies troubleshooting, reduces the expertise required, and empowers less experienced users to manage clusters effectively.
This blog discusses the CI/CD concept and reviews 11 top tools for implementing CI/CD in 2024. It covers key benefits, features, pricing, and integrations of each tool.
This article explores the use of LLMs for Kubernetes troubleshooting with k8sgpt, a tool that utilizes OpenAI to analyze Kubernetes clusters, identify issues, and provide explanations.
An in-depth exploration of using Large Language Models (LLMs) to generate Terraform code for infrastructure as code (IaC), analyzing the capabilities and limitations of LLMs in this domain.
All models struggled with:
- Variable usage (hardcoded values)
- IAM configuration (permissions)
- Security group management
- Target group configuration
While LLMs are promising for IaC, they can be helpful tools for developers.
Hallux.ai is a platform offering open-source, LLM-based CLI tools for Linux and MacOS. These tools aim to streamline operations, enhance productivity, and automate workflows for professionals in production engineering, SRE, and DevOps. They also improve Root Cause Analysis (RCA) capabilities and enable self-sufficiency.
Explores KitOps, an open source project that bridges the gap between DevOps and machine learning pipelines by allowing you to leverage existing DevOps pipelines for MLOps tasks.
ModelKits are standardized packages that contain all the necessary components of an ML project, including the model, datasets, code, and configuration files.
ModelKits are defined using a YAML file called a Kitfile, which can be integrated seamlessly with existing DevOps pipelines, much like a Dockerfile for containerization.