Packer for DevOps: Automated Machine Image Creation
Learn to build consistent, repeatable machine images across multiple cloud platforms using Packer and modern infrastructure-as-code practices.
-
๐ฌ
AI instructor
Magtanong tungkol sa anumang aralin at makakuha ng malinaw na sagot agad, anumang oras. -
๐
Magsimula anumang oras
Walang iskedyul o deadline โ mag-aral sa sarili mong bilis, kahit kailan. -
๐
Sa Filipino
Mga aralin, gawain at sertipiko โ lahat ay ganap na nasa wika mo.
Tungkol sa kursong ito
Manually configuring virtual machine images is slow, error-prone, and difficult to scale across different cloud environments. Packer solves this by allowing you to define your machine images as code, ensuring consistency and speed in your deployment pipelines. This text-based course guides you through the fundamentals of automated image creation using HashiCorp Packer. You will start with core concepts and basic terminology before progressing to writing, testing, and deploying your own machine images. By the end of this course, you will be able to incorporate automated image builds into your standard DevOps workflows. What you'll learn: - Understand the core architecture of Packer, including builders, provisioners, and post-processors. - Write clean, maintainable configuration files using the modern HashiCorp Configuration Language (HCL2). - Build custom machine images for major cloud platforms from a single configuration file. - Integrate shell scripts and provisioning tools to pre-install software during the build process. - Implement security best practices, including secret management and minimizing image attack surfaces. - Connect Packer into modern CI/CD pipelines to automate image creation upon code changes. You will begin with foundational definitions and setup, then move step-by-step through writing configurations, provisioning software, and automating multi-cloud builds. Each concept is reinforced with clear written explanations and practical code snippets designed for easy reading. This course is designed for beginner DevOps engineers, system administrators, and cloud practitioners looking to automate their infrastructure provisioning. No prior experience with Packer is required, though a basic understanding of command-line interfaces and cloud concepts is helpful. Start reading today to streamline your deployment pipeline with automated machine images.
Ang makukuha mo
-
๐
Certificate ng pagtatapos
Idagdag sa LinkedIn profile mo -
๐ฌ
Personal na AI tutor
Natigil sa isang aralin? Itanong sa iyong built-in na tutor ang kahit ano, kahit kailan. -
๐ง
Kasama ang audio version
Mag-aral kahit saan โ hindi kailangan ng screen -
โพ๏ธ
Lifetime access
Bumalik anumang oras, walang expiry -
๐ฑ
Telepono o computer
Gumagana saanman, kahit anong device -
๐ธ
14-day refund
Walang tanong -
โก
Maikli at focused
2 oras 36 min ng practical content
Mga Review
Wala pang review โ ikaw ang unang magbahagi.
Kinuha rin ng iba
๐ผ Handa sa trabaho
๐ May sertipiko
Pag-containerize ng mga Aplikasyon gamit ang Docker, Jenkins, at AWS
Sertipiko
Pagsasanay
$14.99
→
๐ May sertipiko
Kubernetes para sa mga Nagsisimula: I-deploy ang Iyong Unang Containerized Web App
Sertipiko
Pagsasanay
$14.99
→
โก Pinakamainam para magsimula
๐ May sertipiko
DevOps Capstone: Pag-deploy ng Secure na Microservices
Sertipiko
Pagsasanay
$14.99
→
๐ฅ Sikat
๐ May sertipiko
Mga Batayan ng Docker at Kubernetes: Pag-deploy ng Microservices
Sertipiko
Pagsasanay
$14.99
→
Mga madalas itanong
Ano ang kailangan ko para sa kursong ito? +
Telepono o computer na may internet lang. Walang install, walang special hardware.
Paano ako magbabayad? +
Sa pamamagitan ng card via Stripe. Hindi namin iniimbak ang detalye ng card โ secure na hinahawakan ng Stripe.
Pwede ba akong mag-refund? +
Oo โ full refund sa loob ng 14 araw, walang tanong.
Hanggang kailan ang access ko? +
Habang buhay. Sa pagbili, sa iyo na ang course โ balikan mo kahit kailan.
Makakakuha ba ako ng certificate? +
Oo. Pagkatapos, makakatanggap ka ng certificate na maidadagdag sa LinkedIn profile mo.
Para sa mga learner sa
Tech
Design
Finance
Marketing
Healthcare
Edukasyon
Hospitality
Manufacturing