Sf bay area Kubernetes meetup dec8 2016 - deployment modelsPeter Ss
I talk about deploying complex, multi-layer applications in Kuberentes.
I describe how Kubernetes AppController project (https://github.com/Mirantis/k8s-AppController) can be leveraged to enhance such deployments
We believe that the popularity of Kubernetes derives from its ability to adapt and improve the infrastructure in which is deployed. I'll explain how this is done
SRE Tech Talk meetup - 28/05/2019 at Paris. Presenting Kubernetes at NoSQL. Managing stateful applications is not an easy task. Getting them working at scale on +4500 servers world wide starts to be very time consuming. We'll talk about challenges we've been facing when moving from a full configuration manager (chef) solution to a mixed solution with a scheduler (Kubernetes). We'll also talk about the pitfalls to avoid when switching to a scheduler for stateful apps.
Deploying Kubernetes without scaring off your security team - KubeCon 2017Major Hayden
Kubernetes provides plenty of enhancements for deploying software, but it can cause anxiety on the corporate security team. This talk explains how to approach your security team and how to push them to provide guardrails, not deployments.
Openstack is one of the largest OSS projects today with hundreds of commits flowing in daily. This high rate of change requires an advanced CI infrastructure. The purpose of the talk is to provide an overview of this infrastructure, explaining the role of each tool and the pipelines along which changes have to travel before they find their way into the approved Openstack codebase.
Kubernetes Multi-cluster without Federation - Kubecon EU 2018Rob Szumski
Federation is typically thought of as the only way to do multi-cluster operations, but that's not the case. I explore more secure and scalable methods for connecting clusters together. This is key to hybrid scenarios where you want two or more clusters set up in a consistent way, and then deploy an application in all regions or on all clouds.
I will dive deep into sharing RBAC roles and resource limits, plus setting up the same namespaces with important default config like Pod Security Policies.
Kafka on Kubernetes: Keeping It Simple (Nikki Thean, Etsy) Kafka Summit SF 2019confluent
Cloud migration: it's practically a rite of passage for anyone who's built infrastructure on bare metal. When we migrated our 5-year-old Kafka deployment from the datacenter to GCP, we were faced with the task of making our highly mutable server infrastructure more cloud-friendly. This led to a surprising decision: we chose to run our Kafka cluster on Kubernetes. I'll share war stories from our Kafka migration journey, explain why we chose Kubernetes over arguably simpler options like GCP VMs, and present the lessons we learned while making our way toward a stable and self-healing Kubernetes deployment. I'll also go through some improvements in the more recent Kafka releases that make upgrades crucial for any Kafka deployment on immutable and ephemeral infrastructure. You'll learn what happens when you try to run one complex distributed system on top of another, and come away with some handy tricks for automating cloud cluster management, plus some migration pitfalls to avoid. And if you're not sure whether running Kafka on Kubernetes is right for you, our experiences should provide some extra data points that you can use as you make that decision.
Microservices with Netflix OSS & Spring Cloud - Arnaud Cogoluègnesdistributed matters
Decomposing a system into microservices is not for the faint of heart. It’s not only about technical skills and tools, but, hey, that can help. Netflix OSS provides a bunch of battle-tested microservices-oriented components, but how to easily use them, especially together, in harmony? This is where Spring Cloud comes in. It brings all the productivity and easiness of the Spring stack to the world of microservices: configuration server, circuit breaker, service registry, client load balancing, all of this in a few lines of code. Come to this presentation to discover how to leverage microservices practices and tools in a couple of minutes!
Cloud Native Microservices with Spring CloudConor Svensson
In this talk we are going to discuss some of the key components of Spring Cloud. This includes the Netflix OSS integrations for Spring Boot apps which include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load Balancing (Ribbon). We will also touch on the Spring Cloud centralised configuration server and deploy these apps to Cloud Foundry.
Scala, docker and testing, oh my! mario camouJ On The Beach
Testing is important for any system you write and at eBay it is no different. We have a number of complex Scala and Akka based applications with a large number of external dependencies. One of the challenges of testing this kind of application is replicating the complete system across all your environments: development, different flavors of testing (unit, functional, integration, capacity and acceptance) and production. This is especially true in the case of integration and capacity testing where there are a multitude of ways to manage system complexity. Wouldn’t it be nice to define the testing system architecture in one place that we can reuse in all our tests? It turns out we can do exactly that using Docker. In this talk, we will first look at how to take advantage of Docker for integration testing your Scala application. After that we will explore how this has helped us reduce the duration and complexity of our tests.
Docker containers have been making inroads into Windows and Azure world. Docker has now replaced the traditional Azure IaaS & PaaS services, offering superior container versions which are more responsive, cost effective, and agile. In this session for Charlotte Azure User Group, we will take an in-depth look at the intersection of Docker and Azure, and how Docker is empowering next gen Azure services.
Here's the link to CAG meetup for the event - https://www.meetup.com/Charlotte-Microsoft-Azure/events/fpftgmyxjbjb/
Sf bay area Kubernetes meetup dec8 2016 - deployment modelsPeter Ss
I talk about deploying complex, multi-layer applications in Kuberentes.
I describe how Kubernetes AppController project (https://github.com/Mirantis/k8s-AppController) can be leveraged to enhance such deployments
We believe that the popularity of Kubernetes derives from its ability to adapt and improve the infrastructure in which is deployed. I'll explain how this is done
SRE Tech Talk meetup - 28/05/2019 at Paris. Presenting Kubernetes at NoSQL. Managing stateful applications is not an easy task. Getting them working at scale on +4500 servers world wide starts to be very time consuming. We'll talk about challenges we've been facing when moving from a full configuration manager (chef) solution to a mixed solution with a scheduler (Kubernetes). We'll also talk about the pitfalls to avoid when switching to a scheduler for stateful apps.
Deploying Kubernetes without scaring off your security team - KubeCon 2017Major Hayden
Kubernetes provides plenty of enhancements for deploying software, but it can cause anxiety on the corporate security team. This talk explains how to approach your security team and how to push them to provide guardrails, not deployments.
Openstack is one of the largest OSS projects today with hundreds of commits flowing in daily. This high rate of change requires an advanced CI infrastructure. The purpose of the talk is to provide an overview of this infrastructure, explaining the role of each tool and the pipelines along which changes have to travel before they find their way into the approved Openstack codebase.
Kubernetes Multi-cluster without Federation - Kubecon EU 2018Rob Szumski
Federation is typically thought of as the only way to do multi-cluster operations, but that's not the case. I explore more secure and scalable methods for connecting clusters together. This is key to hybrid scenarios where you want two or more clusters set up in a consistent way, and then deploy an application in all regions or on all clouds.
I will dive deep into sharing RBAC roles and resource limits, plus setting up the same namespaces with important default config like Pod Security Policies.
Kafka on Kubernetes: Keeping It Simple (Nikki Thean, Etsy) Kafka Summit SF 2019confluent
Cloud migration: it's practically a rite of passage for anyone who's built infrastructure on bare metal. When we migrated our 5-year-old Kafka deployment from the datacenter to GCP, we were faced with the task of making our highly mutable server infrastructure more cloud-friendly. This led to a surprising decision: we chose to run our Kafka cluster on Kubernetes. I'll share war stories from our Kafka migration journey, explain why we chose Kubernetes over arguably simpler options like GCP VMs, and present the lessons we learned while making our way toward a stable and self-healing Kubernetes deployment. I'll also go through some improvements in the more recent Kafka releases that make upgrades crucial for any Kafka deployment on immutable and ephemeral infrastructure. You'll learn what happens when you try to run one complex distributed system on top of another, and come away with some handy tricks for automating cloud cluster management, plus some migration pitfalls to avoid. And if you're not sure whether running Kafka on Kubernetes is right for you, our experiences should provide some extra data points that you can use as you make that decision.
Microservices with Netflix OSS & Spring Cloud - Arnaud Cogoluègnesdistributed matters
Decomposing a system into microservices is not for the faint of heart. It’s not only about technical skills and tools, but, hey, that can help. Netflix OSS provides a bunch of battle-tested microservices-oriented components, but how to easily use them, especially together, in harmony? This is where Spring Cloud comes in. It brings all the productivity and easiness of the Spring stack to the world of microservices: configuration server, circuit breaker, service registry, client load balancing, all of this in a few lines of code. Come to this presentation to discover how to leverage microservices practices and tools in a couple of minutes!
Cloud Native Microservices with Spring CloudConor Svensson
In this talk we are going to discuss some of the key components of Spring Cloud. This includes the Netflix OSS integrations for Spring Boot apps which include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load Balancing (Ribbon). We will also touch on the Spring Cloud centralised configuration server and deploy these apps to Cloud Foundry.
Scala, docker and testing, oh my! mario camouJ On The Beach
Testing is important for any system you write and at eBay it is no different. We have a number of complex Scala and Akka based applications with a large number of external dependencies. One of the challenges of testing this kind of application is replicating the complete system across all your environments: development, different flavors of testing (unit, functional, integration, capacity and acceptance) and production. This is especially true in the case of integration and capacity testing where there are a multitude of ways to manage system complexity. Wouldn’t it be nice to define the testing system architecture in one place that we can reuse in all our tests? It turns out we can do exactly that using Docker. In this talk, we will first look at how to take advantage of Docker for integration testing your Scala application. After that we will explore how this has helped us reduce the duration and complexity of our tests.
Docker containers have been making inroads into Windows and Azure world. Docker has now replaced the traditional Azure IaaS & PaaS services, offering superior container versions which are more responsive, cost effective, and agile. In this session for Charlotte Azure User Group, we will take an in-depth look at the intersection of Docker and Azure, and how Docker is empowering next gen Azure services.
Here's the link to CAG meetup for the event - https://www.meetup.com/Charlotte-Microsoft-Azure/events/fpftgmyxjbjb/
Ever since the “CloudNative revolution” took over our development environment (devenv), we have never been more challenged (or more excited). With Kubernetes, Docker (Containerd) & many other microservice-related technologies, we have a handful of technologies to master before we write the first line of code.
How (and why) to roll your own Docker SaaSRyan Crawford
SkyDock is an open source solution for building & hosting Docker images at scale in the cloud. Designed to solve real-world problems faced in traditional CI systems that limit throughput and hinder your ability to deliver software quickly and reliably.
From a Skyscanner Engineering perspective this is a great opportunity to showcase some of the cutting edge work that we are doing with Docker, Ansible and AWS. It also highlights that we are solving problems at scale from a both a technical and organisational perspective.
Packer and TerraForm are fundamental components of Infrastructure as Code. I recently gave a talk at a DevOps meetup, which allowed me the opportunity to discuss the basics of these two tools, and how DevOps teams should be using them
In this presentation I will show you what is needed to build your own Cloud Adapter using the Cloud Adapter SDK. The architecture of the adapter framework will be explained and also the required steps to allow others to use your adapter from the Oracle Marketplace will be shown. The custom adapter which has been created as a sample implementation is a Z-Wave-Adapter which can be used to allow easy integration with devices using the Z-Wave protocol (such as sensors which can be used for home automation). The usage of the adapter in real life will also be demonstrated.
It is not that hard to build your own Cloud Adapter! You can enable a citizen developer to do their own integrations using ICS and also use the same adapter when developing on premise SOA solutions. Oracle enables you to sell your product in the Marketplace, further increasing your return of investment. I will show you the different designtime and runtime components which need to be implemented, how JDeveloper extension development works and how you can test your adapter on ICS locally using the ICS execution agent. I will share common pitfalls when starting adapter development to help you get a headstart when you are considering creating your own. This presentation will help developers and architects understand Cloud Adapters and when you should consider creating one yourself!
Cloud-native .NET Microservices mit KubernetesQAware GmbH
BASTA! 2017, Mainz: Talk von Mario-Leander Reimer (@LeanderReimer, Cheftechnologe bei QAware).
Cloud-Größen wie Google, Twitter und Netflix haben die Kernbausteine ihrer Infrastruktur quelloffen verfügbar gemacht. Das Resultat aus vielen Jahren Cloud-Erfahrung ist nun frei zugänglich, und jeder kann seine eigenen Cloud-nativen Anwendungen entwickeln – Anwendungen, die in der Cloud zuverlässig laufen und fast beliebig skalieren. Die einzelnen Bausteine wachsen zu einem großen Ganzen zusammen, dem Cloud-Native-Stack. In dieser Session stellen wir die wichtigsten Konzepte und aktuellen Schlüsseltechnologien kurz vor. Anschließend implementieren wir einen einfachen Microservice mit .NET Core und Steeltoe OSS und bringen ihn zusammen mit ausgewählten Bausteinen für Service-Discovery und Konfiguration schrittweise auf einem Kubernetes-Cluster zum Laufen.
Making Service Deployments to AWS a breeze with NovaGregor Heine
As we rolled out our micro-service architecture at Gilt, we made an explicit decision to leverage phased rollouts with dark canary, canary and auto-scaled clusters. We chose to use the fundamental building blocks of AWS - ELBs, Auto Scaling Groups, tiny EC2 instances, CloudWatch, CodeDeploy and CloudFormation. However, we found that managing and configuring many of these moving parts via Cloudformation templates to be a repetitive and error prone task.
Introducing Nova, a tool that leverages the powers of Docker, and the AWS toolchain to deploy microservices, while reducing the underlying complexities and and breaking them into reusable components. We'll look at how Nova helps to set up and configure different service stacks and their resources, manage phased deployments into these stacks, collect service logs via cloudwatch and securely store application secrets using KMS.
In this talk, Damien describes the infrastructure Nuxeo has built around Docker containers, which is mainly based on CoreOS and Docker, and how it provides a way to generically run applications not only on a single host, but across a whole cluster of hosts. The resulting architecture can be used to implement a PaaS approach for any application.
Apache Druid Auto Scale-out/in for Streaming Data Ingestion on KubernetesDataWorks Summit
The importance of ingestion and processing streaming data in telecommunication industry is ever increasing. We, SK Telecom which is Korea's number-one telecommunications provider, encounter how to use infra resources more efficiently. Apache Druid supports auto scaling feature for data ingestion, but it is only available on AWS EC2. We cannot rely on the feature on our private cloud.
In this talk, we are going to introduce auto scale-out/in on Kubernetes. This approach is more outstanding than Druid's scaling implementation. Here are the benefits. The first is our approach can be used anywhere on private cloud or (managed) Kubernetes in Azure, AWS and GKE. The second is AWS EC2's startup and termination requires a few minutes, but our approach requires a few seconds. The last is the scaling mechanism is decoupled from Druid's source code. We will also share development of Druid Helm chart, rolling update, custom metric usage for horizontal auto scaling.
The below is about detailed benefit compared with Druid's auto scaling approach:
1. Druid's auto scaling is only available in AWS, but our approach does not have the obstacle. It can be used in Private cloud(on-premise) are (managed) Kubernetes in Azure, AWS and GKE.
2. AWS EC2 is an instance of virtual machine, so the startup is slower than docker container. A few minutes are required for startup or termination of EC2. Docker container is very lightweight, so it requires a few seconds.
3. Druid's auto scaling is tightly coupled with AWS API because Druid engine code uses AWS API. Our scale-out/in algorithm is conceptually equal to Druid's auto scaling approach, but we decoupled the dependency because Kubernetes communicate with one of dispatcher nodes(i.e. Overlord node) using REST API.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
4. INTRODUCTION
01
What is CDK for
Terraform?
demonstration
02
How CDK for Terraform
Work?
analysis
03
Dive Into CDK for
Terraform
conclusion
04
IaC Day 2
6. What is Terraform? (1/2)
Terraform is an open source
provisioning tool.
It ships as a single binary
which is written in Go.
Terraform is cross platform
and can run on Linux,
Windows, or MacOS.
Installing terraform is easy.
You simply download a zip
file, unzip it, and run it.
7. What is Terraform? (2/2)
● Executable Documentation
● Human and Machine readable
● Easy to Learn
● Test, Share, Re-Use, Automate
● Works on all Major Cloud Providers
resource aws_instance "catapp" {
ami = data.aws_ami.ubuntu.id
instance_type = var.instance_type
tags = {
Name = "${var.prefix}-meow"
}
}
9. What is Terraform Weaknesses ?
● Require User to Learn a New Custom Language, The
HCL (HashiCorp Configuration Language) DSL
● No Loops, Functions, and Classes Concept Like
General Programing Language
10. CDK for Terraform
● Although HCL has been One of The Fastest Growing
Languages at GitHub
● Officials have Often Heard The Desire to Provision
Infrastructure W/ Familiar Programming Languages
● With the CDK for Terraform Project You Can Define
Infrastructure Resources Using TypeScript, Python...
19. Other Mappings
● Escape Hatch:Passing Meta-Arguments to Resources
not Natively Supported or Implemented
● Terraform Remote Backend:Store Terraform State to
Remote Backend, Instead of Local Storage
● Terraform Remote State:Extract Value from Exist
Terraform State, Avoid Write Fixed Value in
Configuration File
21. What Benefits for CDK
● Manage Multi-Cloud & Hybrid Infrastructure Through
Terraform Provider
● Manage Third-Party SaaS Through Terraform Provider
● Increase Provisioning Speed
● Avoid from Open Source to Close Source/Vendor
Locking
22. What Benefits for Terraform
Define Infrastructure Resources Using TypeScript,
Python...Whatever Program Language You Like
25. Eco System Not Exist Yet
● Define, Import Terraform Provider, Module…
● Then Download Them from Internet…
● Finally JSII Could Help to Transfer Them...
26. Exhausted Transfer Process
● Poor Performance During ~$ cdk sync
● No Useful Debug Message When
Transfer Fail
● Documentation is Still Few
27. Module Chaos
If You Want to Develop a IaC Module…
● Leverage HCL to Develop then Import from CDK?
● Leverage CDK to Develop Directly?
30. What is Infrastructure as Code?
Infrastructure as Code (IaC) is the process of
managing and provisioning cloud infrastructure
with machine-readable definition files.
Think of it as executable documentation.
31. Infrastructure as Code Allows Us to...
● Provide a codified workflow to create infrastructure
● Change and update existing infrastructure
● Safely test changes using terraform plan in dry run
mode
● Integrate with application code workflows (Git, CI/CD
tools)
● Provide reusable modules for easy sharing and
collaboration
● Enforce security policy and organizational standards
● Enable collaboration between different teams
32. IaC Day 2
● Develop IaC Along
● Develop IaC W/O Limition
● Develop IaC W/ Service Downtime
● Develop IaC Together
● Develop IaC W/ Org Policy
● Develop IaC W/O Service Downtime
33. Test Your IaC Module/Construct
Developer
IaC Tool
Terratest
Git Service
CI/CD Framework
Cloud
#1
#2
#3
#4
#5
#6
Unit Test
37. CREDITS: This presentation template was created by
Slidesgo, including icons by Flaticon, infographics &
images by Freepik and illustrations by Stories
THANKS!
If You Have Any Questions...
38. ● MaiCoin
○ Backend Engineer
○ Microservice Engineer
○ Site Reliability Engineer
We Are Hiring!
● AMIS
○ Backend Engineer
○ Frontend Engineer
○ Full Stack Engineer
○ Researcher
39. IaC Day 2 Workshop!
Developer
IaC Tool
Terratest
Git Service
CI/CD Framework
Cloud
#1
#2
#3
#4
#5
#6
PaC Tool
#1
Unit Test
Integration
Test
#2
#3
#5
#4
GitOps
GitOps
#1
#2
#3
#4