learn-to-cloud
Packer
learn-to-cloud | Packer | |
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7 | 66 | |
4,416 | 14,915 | |
0.7% | 0.4% | |
7.6 | 9.4 | |
1 day ago | 4 days ago | |
JavaScript | Go | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
learn-to-cloud
- Cool Github repositories for Everyone
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DO I NEED TO STUDY IT FIRST BEFORE LEARNING AWS?
This should get you on your way imo: https://github.com/learntocloud/learn-to-cloud/blob/main/phase1/README.md
- What are your favorite "learning guide" repos on GitHub?
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Open Up The Cloud Newsletter #28 (October Recap 2021)
Learn To Cloud Guide – From what I’ve seen, the good folks behind the learn to cloud guide (Gwyneth, Rishab & Antonio) are putting in some big efforts to really ✨ jazz up ✨ the project, it’s now hosted on it’s own website at learntocloud.guide and I hear they have some pretty serious plans to build the project up. Watch this space and give these guys a follow to keep up with what they have planned!
- I waited too long to make my next move and now I really need out of support.
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Open Up The Cloud Newsletter #25 (June Recap 2021)
Self Taught Guide To Cloud Computing – This month, Gwyneth (GPS) put together an awesome guide for self-teaching yourself cloud computing (here’s the announcement Tweet / thread). Guidance like this for cloud career starters is sorely needed, so the project comes as a nice addition to the growing resources you can find online. I can already tell that I’m going to be sharing this link a lot! And, if you’re not already subscribed, GPS has a cloud YouTube channel which you should also check out!
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Self taught guide to cloud computing
View on GitHub
Packer
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AWS Cloud Platform for highly loaded WordPress website
The missing piece of puzzle is the AMI "golden image" that will be used to start the instances in autoscaling group. The AMI has to have NGINX and PHP installed with the list of required modules enabled. The great tool to brew one is hashicorp packer.
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The 2024 Web Hosting Report
To manage a VM, you can use something as simple as just manual actions over SSH, or can use tools like Ansible, Hashicorp's Packer and Terraform or other automations. For an app where there is minimal load and security/reliability concern, VMs are still a great option that provide a lot of value for the buck
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Avoiding DevOps tool hell
Server templating: Using Packer has never been easier to create reusable server configurations in a platform-independent and documented manner.
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How to create an iso image of a finished system
I'll give you hard, but rewarding and easy to modify(once you know what you're doing) way. Packer may be a thing you're looking for.
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13.2 ZFS root AMIs in AWS
It is straightforward to build them with packer (I have built AMIs for 13.0 and 13.1, but 13.2 should be exactly the same). I've been meaning to write a blog post about it for a while, but have not gotten to it yet... In any case, what I am doing is using the EBS Surrogate Builder to start an instance running the official FreeBSD 13.2 image with an extra volume attached and run a script to create a zpool on the extra volume and bootstrap and configure FreeBSD 13.2-RELEASE on it. After that packer takes care of creating an AMI out of that extra volume, so you can use it... If you have any issues, let me know, and maybe I will finally get to writing that blog post...
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DevOps Tooling Landscape
HashiCorp Packer is a tool for creating machine images for a variety of platforms, including AWS, Azure, and VMware. It allows you to define machine images as code and supports a wide range of configuration options.
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auto-provisioning multiple raspberry pi's
Packer is a tool that can be used to build machine images. Basically, it takes a base image, runs a series of steps to provision that image, and then burns a new image. In my workplace we use it heavily to build AWS AMIs. But it has an ARM plugin that looks to be very very suitable for building customised Raspberry Pi images (my quick read of the doco there says it can go ahead and write the final image to an SD card for you too).
- How do hosting companies immediately create vm right after purchasing one?
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Packer preseed file seems to not be read
Seems related to https://github.com/hashicorp/packer/issues/12118 But the workaround discribed in the comments doesn’t seems to work anymore
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How to create AMI which also copies the user data?
I'd suggest using a tool like Packer to build a gold image based on your base AMI and all your changes. Then you'll have your own AMI you can launch new instances with.
What are some alternatives?
cloud - cloud region / instance type data
Vagrant - Vagrant is a tool for building and distributing development environments.
Cloud-Service-Providers-Free-Tier-Overview - Comparing the free tier offers of the major cloud providers like AWS, Azure, GCP, Oracle etc. [Moved to: https://github.com/cloudcommunity/Cloud-Free-Tier-Comparison]
helm - The Kubernetes Package Manager
-DEPRECATED-NeverSink-EconomyUpdated-SC-Filter - This is the SOFTCORE economy-updated version of my filter. It's based on the stable version, but is auto-updated with cutting-edge economy information (which are analyzed, postprocessed and run through several algorithms) every 4 hours.
oVirt - oVirt website
json-to-c-sharp - Convert a JSON String to C# String.
cloud-init-vmware-guestinfo - A cloud-init datasource for VMware vSphere's GuestInfo interface
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
kubernetes - Production-Grade Container Scheduling and Management
hackingthe.cloud - An encyclopedia for offensive and defensive security knowledge in cloud native technologies.
QEMU - Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.