Firefly’s Post

Deploying #infrastructure just leveled up with the introduction of Firefly #Workflows. Who says you can’t teach an old cloud new tricks? Navigating the nuances of #governance and Infrastructure as Code (#IaC) at firefly.ai is like being in the pilot's seat of a spaceship—exciting and forward-thinking. We’re all about transforming complex #cloud challenges into streamlined, governable solutions. 𝐌𝐚𝐢𝐧 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐨𝐟 𝐅𝐢𝐫𝐞𝐟𝐥𝐲 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: ✅ Simplify IaC #Automation: Automatically generate a new IaC pipeline or integrate into your existing pipeline in GitHub, GitLab, and more. ✅ Gain #Visibility and #Insights: Visualize all planned changes to your cloud resources and show their relationships. ✅ Prevent Undesired Changes: Secure your code by automatically preventing policy violations and excessive costs. ✅ Get a Post-Deployment Rundown: View post-provisioning insights into cloud activities, streamline debugging, and manage your asset inventory. Blending GitOps automation with your IaC strategy enhances not just efficiency but also the reliability of your entire tech stack. Coupled with Firefly’s comprehensive cloud control plane, we tackle cloud complexity in style. Thrilled to be a part of this cutting-edge journey at firefly.ai, where we’re setting the new standard for #cloud management. #cloudnative #cloudcomputing #infrastructureascode

✨ Meet Workflows from Firefly 🧚♂️ IaC provisioning just became easier, BYOIC. Firefly continues to simplify cloud ☁ complexity 🔨🔧 #cloudops #terraform #opentofu #devops #planformengineering #iac #cicd

Generic CI/CD or TACOS for Terraform Automation? Why not have the best of both worlds? Keep the same CI you know and love, and achieve the same drift detection, cost analysis, policies, and workflows value - IaC GitOps made easier with Firefly

Good insights from Soren Martius here. I think this maps to the Azure community as well. Most of us are using Azure DevOps and to a lesser extent Github Actions (but growing fast....) and we're using Azure Storage as our preferred state storage. What are the biggest challenges YOU face in IaC adoption?

Stages of Terraform Adoption (or why we wrote atmos). What does the evolution of Terraform adoption as an IaC tool look like? What drove Cloud Posse to develop Atmos? We outline the journey of Terraform adoption that we see see companies go through—from Terraform's initial simplicity to its current high-complexity feature set. Modern Terraform, like many software and infrastructure tools, has spawned a significant 3rd-party ecosystem of additional tooling and utilities to help address some of its shortcomings. Atmos is part of that ecosystem, and offers features like consistent invocation, efficient configuration, environment consistency, and seamless integration with CI/CD platforms, all while being truly open source. https://lnkd.in/gaw7bQ92

Proud to call this our Official V1: PipeOps (Techstars '23) Our next version will enable developers to build another Pass Platform including running builds and provisioning servers on any cloud via our APIs, Terraform/Pulumi providers. With our incoming CLI interface, users can now deploy from their native CI tools, either to their servers on PipeOps or provision a new one through PipeOps. If you also have your Kubernetes config, you can use our CRD to simplify deployment. The goal is simple: Make it super easy for developers to run builds and provision servers via APIs, so that anyone can easily spin up a new Pass Platform from those APIs. We also have our own pipeops.yaml which can be used with our CLI to simplify deployments.

Terraform alternatives for your Kubernetes setup? Come visit our office next week to hear about Crossplane 👀 and absorb some Cloud knowledge 🧠 from UpCloud & Fraktio - or spread yours!

If you're diving into the world of Kubernetes, you've likely encountered the term "Helm" or "Helm Charts". But what exactly is it? Developing applications in Kubernetes can quickly become complex. Managing numerous YAML configuration files can be overwhelming. Helm addresses these challenges by serving as a package manager for Kubernetes. It simplifies the deployment process using a package format known as Helm Chart, which encapsulates Kubernetes resources into a single deployable unit. This simplification facilitates easy sharing, versioning, and management of complex applications. Another key feature of Helm is its template engine, which leverages Go's template engine. This allows for easy customization of configuration files without directly modifying them. Helm Charts are also highly reusable across different projects. You can utilize existing charts from the community or develop your own, tailoring them to specific project requirements. #Helm #Cloud #Kubernetes

I would like to share my experience implementing this practical, hands-on project based on a real-world scenario utilizing AWS CodePipeline, AWS CodeBuild, and many other technologies to create a true CI/CD process in AWS. Feel free to check it out and let me know if you enjoyed it. #aws #docker #kubernetes #terraform #cloud #cloudcomputing Jean Rodrigues The Cloud Bootcamp

Using SST (Serverless Stack) has been a major improvement for my development workflow: 1. It simplifies the process of building and deploying serverless applications. 2. The local development experience is smooth, making it easy to test and debug. 3. The built-in support for infrastructure as code with CDK (Cloud Development Kit) is incredibly powerful. 4. The community and documentation are excellent, providing great support and resources. And, getting started is super fast, just follow the 3 steps documentation! The efficiency and scalability that SST brings to the table make it an invaluable tool for modern development. The time saved and the ease of managing serverless applications are amazing!