Terraform, is no doubt very flexible and powerful. The question is, how do we write Terraform code and construct our infrastructure in a reproducible fashion that makes sense? How can we keep code DRY, segment state, and reduce the risk of making changes to our service/stack/infrastructure?
HashiCorp’s infrastructure management tool, Terraform, is no doubt very flexible and powerful. The question is, how do we write Terraform code and construct our infrastructure in a reproducible fashion that makes sense? How can we keep code DRY, segment state, and reduce the risk of making changes to our service/stack/infrastructure?
This talk describes a design pattern to help answer the previous questions. The talk is divided into two sections, with the first section describing and defining the design pattern with a Deployment Example. The second part uses a multi-repository GitHub organization to create a Real World Example of the design pattern.
Introduction to Terraform - presented at the Perth Python & Django meetup on March 1 2018. Demo code repo can be found here: https://github.com/jaymickey/terraform-demo
This beginning terraform workshop will teach you how to safely create and provision Infrastructure as Code (IAC) using Hashicorp Terraform in an AWS environment. In this class you will learn how to setup and install terraform. You will also be given a walkthrough of Terraform fundamentals. You will be lead through the process of deploying a single server, deploying a cluster and setting up a load balancer. You will also learn how to author Terraform Modules, work with Route53 and how to manage DNS.
Requirements. You will need to have an AWS account set up already with Terraform v0.9.3 installed. You will also need to have git install to download the workshop material.
You can find more informaiton on how to install terraform here: https://www.terraform.io/intro/getting-started/install.html. You can sign up for an AWS account here: https://aws.amazon.com/account/
https://github.com/jasonvance/terraform-introduction
My talk at FullStackFest, 4.9.2017. Become more familiar with managing infrastructure using Terraform, Packer and deployment pipeline. Code repository - https://github.com/antonbabenko/terraform-deployment-pipeline-talk
Terraform, is no doubt very flexible and powerful. The question is, how do we write Terraform code and construct our infrastructure in a reproducible fashion that makes sense? How can we keep code DRY, segment state, and reduce the risk of making changes to our service/stack/infrastructure?
HashiCorp’s infrastructure management tool, Terraform, is no doubt very flexible and powerful. The question is, how do we write Terraform code and construct our infrastructure in a reproducible fashion that makes sense? How can we keep code DRY, segment state, and reduce the risk of making changes to our service/stack/infrastructure?
This talk describes a design pattern to help answer the previous questions. The talk is divided into two sections, with the first section describing and defining the design pattern with a Deployment Example. The second part uses a multi-repository GitHub organization to create a Real World Example of the design pattern.
Introduction to Terraform - presented at the Perth Python & Django meetup on March 1 2018. Demo code repo can be found here: https://github.com/jaymickey/terraform-demo
This beginning terraform workshop will teach you how to safely create and provision Infrastructure as Code (IAC) using Hashicorp Terraform in an AWS environment. In this class you will learn how to setup and install terraform. You will also be given a walkthrough of Terraform fundamentals. You will be lead through the process of deploying a single server, deploying a cluster and setting up a load balancer. You will also learn how to author Terraform Modules, work with Route53 and how to manage DNS.
Requirements. You will need to have an AWS account set up already with Terraform v0.9.3 installed. You will also need to have git install to download the workshop material.
You can find more informaiton on how to install terraform here: https://www.terraform.io/intro/getting-started/install.html. You can sign up for an AWS account here: https://aws.amazon.com/account/
https://github.com/jasonvance/terraform-introduction
My talk at FullStackFest, 4.9.2017. Become more familiar with managing infrastructure using Terraform, Packer and deployment pipeline. Code repository - https://github.com/antonbabenko/terraform-deployment-pipeline-talk
Introductory Overview to Managing AWS with TerraformMichael Heyns
From the AWS NZ Auckland Community Meetup - May 4th 2017
https://www.meetup.com/AWS_NZ/events/236169428/
We get a first look at Hashicorp's Terraform and how to use it for Infrastructure as Code with Amazon Web Services.
We'll also share how it fits in with our current CI/CD workflow at the Invenco cloud services team
Sample code available at https://github.com/beanaroo/aws_nz_meetup-terraform_intro
A presentation from Hashiconf 2016.
Terraform is a wonderful tool for describing infrastructure as code. It’s fast, flexible, automatically resolves dependencies, and is rapidly improving.
But in some ways, Terraform is flexible like AWS is flexible. You can do pretty much anything, but it’s also easy to shoot yourself in the foot if you aren’t careful.
In the past year, we’ve started managing thousands of resources with Terraform, allowing a lot more of the dev team to change the underlying infrastructure. During that time, we’ve learned a lot about how to set up our terraform modules so that they are easy to manage and reuse.
This talk will cover how we manage tfstate, separate environments, specific module definitions, and how use terraform to boot new services in production. I’ll also discuss the challenges we’re currently facing, and how we plan to attack them going forward.
This talk is a very quick intro to Docker, Terraform, and Amazon's EC2 Container Service (ECS). In just 15 minutes, you'll see how to take two apps (a Rails frontend and a Sinatra backend), package them as Docker containers, run them using Amazon ECS, and to define all of the infrastructure-as-code using Terraform.
A Hands-on Introduction on Terraform Best Concepts and Best Practices Nebulaworks
At our OC DevOps Meetup, we invited Rami Al-Ghami, a Sr. Software engineer at Workday to deliver a presentation on a Hands-On Terraform Best Concepts and Best Practices.
The software lifecycle does not end when the developer packages their code and makes it ready for deployment. The delivery of this code is an integral part of shipping a product. Infrastructure orchestration and resource configuration should follow a similar lifecycle (and process) to that of the software delivered on it. In this talk, Rami will discuss how to use Terraform to automate your infrastructure and software delivery.
Slides form Config Management Camp, looking at how you can take a collaborative GitFlow approach to Terraform using Remote State, Modules and Dynamically Generated Credentials using Vault
37 slides about taking care of your SolrCluster - Collections API, Core API, dynamic schema modification, segment merging, hard vs. soft commit, caches, monitoring, performance, JMX, it's all in here.
A comprehensive walkthrough of how to manage infrastructure-as-code using Terraform. This presentation includes an introduction to Terraform, a discussion of how to manage Terraform state, how to use Terraform modules, an overview of best practices (e.g. isolation, versioning, loops, if-statements), and a list of gotchas to look out for.
For a written and more in-depth version of this presentation, check out the "Comprehensive Guide to Terraform" blog post series: https://blog.gruntwork.io/a-comprehensive-guide-to-terraform-b3d32832baca
https://www.youtube.com/watch?v=IeweKUdHJc4
My presentation from Hashiconf 2017, discussing our use of Terraform, and our techniques
to help make it safe and accessible.
Terraform is an Infrastructure as Code tool for declaratively building and maintaining complex infrastructures on one or more cloud providers/services. But Terraform also supports over 80 non-infrastructure providers! In this demo-driven talk, will dive into the internals of Terraform and see how it works. We will show how Terraform can be used for non-infrastructure use cases by showing examples. We’ll also take a look at on how you can extend Terraform to manage anything with an API.
Presentación empleada en el primer MeetUp AWS del grupo de usuarios de Valencia.
Infraestructura como código empleando Terraform. Se muestra las principales características de esta tecnología que nos permite ser más ágiles y rápidos desplegando nuestras plataformas en AWS.
Introductory Overview to Managing AWS with TerraformMichael Heyns
From the AWS NZ Auckland Community Meetup - May 4th 2017
https://www.meetup.com/AWS_NZ/events/236169428/
We get a first look at Hashicorp's Terraform and how to use it for Infrastructure as Code with Amazon Web Services.
We'll also share how it fits in with our current CI/CD workflow at the Invenco cloud services team
Sample code available at https://github.com/beanaroo/aws_nz_meetup-terraform_intro
A presentation from Hashiconf 2016.
Terraform is a wonderful tool for describing infrastructure as code. It’s fast, flexible, automatically resolves dependencies, and is rapidly improving.
But in some ways, Terraform is flexible like AWS is flexible. You can do pretty much anything, but it’s also easy to shoot yourself in the foot if you aren’t careful.
In the past year, we’ve started managing thousands of resources with Terraform, allowing a lot more of the dev team to change the underlying infrastructure. During that time, we’ve learned a lot about how to set up our terraform modules so that they are easy to manage and reuse.
This talk will cover how we manage tfstate, separate environments, specific module definitions, and how use terraform to boot new services in production. I’ll also discuss the challenges we’re currently facing, and how we plan to attack them going forward.
This talk is a very quick intro to Docker, Terraform, and Amazon's EC2 Container Service (ECS). In just 15 minutes, you'll see how to take two apps (a Rails frontend and a Sinatra backend), package them as Docker containers, run them using Amazon ECS, and to define all of the infrastructure-as-code using Terraform.
A Hands-on Introduction on Terraform Best Concepts and Best Practices Nebulaworks
At our OC DevOps Meetup, we invited Rami Al-Ghami, a Sr. Software engineer at Workday to deliver a presentation on a Hands-On Terraform Best Concepts and Best Practices.
The software lifecycle does not end when the developer packages their code and makes it ready for deployment. The delivery of this code is an integral part of shipping a product. Infrastructure orchestration and resource configuration should follow a similar lifecycle (and process) to that of the software delivered on it. In this talk, Rami will discuss how to use Terraform to automate your infrastructure and software delivery.
Slides form Config Management Camp, looking at how you can take a collaborative GitFlow approach to Terraform using Remote State, Modules and Dynamically Generated Credentials using Vault
37 slides about taking care of your SolrCluster - Collections API, Core API, dynamic schema modification, segment merging, hard vs. soft commit, caches, monitoring, performance, JMX, it's all in here.
A comprehensive walkthrough of how to manage infrastructure-as-code using Terraform. This presentation includes an introduction to Terraform, a discussion of how to manage Terraform state, how to use Terraform modules, an overview of best practices (e.g. isolation, versioning, loops, if-statements), and a list of gotchas to look out for.
For a written and more in-depth version of this presentation, check out the "Comprehensive Guide to Terraform" blog post series: https://blog.gruntwork.io/a-comprehensive-guide-to-terraform-b3d32832baca
https://www.youtube.com/watch?v=IeweKUdHJc4
My presentation from Hashiconf 2017, discussing our use of Terraform, and our techniques
to help make it safe and accessible.
Terraform is an Infrastructure as Code tool for declaratively building and maintaining complex infrastructures on one or more cloud providers/services. But Terraform also supports over 80 non-infrastructure providers! In this demo-driven talk, will dive into the internals of Terraform and see how it works. We will show how Terraform can be used for non-infrastructure use cases by showing examples. We’ll also take a look at on how you can extend Terraform to manage anything with an API.
Presentación empleada en el primer MeetUp AWS del grupo de usuarios de Valencia.
Infraestructura como código empleando Terraform. Se muestra las principales características de esta tecnología que nos permite ser más ágiles y rápidos desplegando nuestras plataformas en AWS.
Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.
Burn down the silos! Helping dev and ops gel on high availability websitesLindsay Holmwood
HA websites are where the rubber meets the road - at 200km/h. Traditional separation of dev and ops just doesn't cut it.
Everything is related to everything. Code relies on performant and resilient infrastructure, but highly performant infrastructure will only get a poorly written application so far. Worse still, root cause analysis in HA sites will more often than not identify problems that don't clearly belong to either devs or ops.
The two options are collaborate or die.
This talk will introduce 3 core principles for improving collaboration between operations and development teams: consistency, repeatability, and visibility. These principles will be investigated with real world case studies and associated technologies audience members can start using now. In particular, there will be a focus on:
- fast provisioning of test environments with configuration management
- reliable and repeatable automated deployments
- application and infrastructure visibility with statistics collection, logging, and visualisation
Aprovisionamiento multi-proveedor con Terraform - Plain Concepts DevOps dayPlain Concepts
La infraestructura como código (IaC) es una de las prácticas relacionadas con la cultura DevOps que está cogiendo más tracción en el desarrollo de software y Terraform es una de las herramientas más recomendadas para ello.
Se suele relacionar sobre todo con la creación de infraestructura en los grandes servicios “Cloud” -AWS, Azure, Google Cloud,…- pero es además algo aplicable a otros aspectos de IT como podrían ser la creación de usuarios en servicios de terceros o propios (Github, bases de datos,…), configuración de dominios (Dyn, GoDaddy,…), configuración de alertas (Grafana, OpsGenie)…
Durante esta sesión se explicará su funcionamiento básico y veremos en directo despliegues en varias de estas plataformas.
Programming the Physical World with Device Shadows and Rules EngineAmazon Web Services
Learn more about how to use AWS IoT's Device Shadows and Rules Engine to build powerful IoT applications. With Device Shadows, you can build applications that interact with your devices by providing always available REST APIs. By taking advantage of AWS IoT's topic-based rules and built-in integrations, you can build IoT applications that gather, process, analyze, and act on data generated by connected devices at global scale, without having to manage any infrastructure.
Speaker: Jacob Aae Mikkelsen
Once you have successfully developped your application in Grails, Ratpack or your other favorite framework, you would like to see it deployed as fast and painless as possible, right?
This talk will cover some of the supporting cast members of a succesful modern infrastructure, that developers can understand and use efficiently, and with good DevOps practices.
Key elements are
Docker
Infrastructure as Code
Container Orchestration
The demo-goods will hopefully be on our side, as this talk includes quite some live demos!
Integrating icinga2 and the HashiCorp suiteBram Vogelaar
We all love infrastructure as code, we automate everything ™ but how many
of us can really say we could destroy and recreate our core infrastructure
without human intervention. Can you be sure there isnt a DNS problem or
that all the things ™ are done in the right order This talk walks the
audience through a green fields exercise that sets up service discovery
using Consul, infrastructure as code using terraform, using images build
with packer and configured using puppet.
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...Amazon Web Services
Implementation of a disaster recovery (DR) site is crucial for the business continuity of any enterprise. Due to the fundamental nature of features like elasticity, scalability, and geographic distribution, DR implementation on AWS can be done at 10-50% of the conventional cost. In this session, we do a deep dive into proven DR architectures on AWS and the best practices, tools and techniques to get the most out of them.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
1. • Terraform State
Terraform must store state about your managed infrastructure and configuration.
This state is used by Terraform to map real world resources to your configuration,
keep track of metadata, and to improve performance for large infrastructures.
This state is stored by default in a local file named "terraform.
Desired State:
It is the state where you have defined in your configuration, with the actual state of
your existing resources.
Current State:
Current configuration which is running in the environment and mentioned in the
local file.
2.
3. To refresh the current state:
terraform refresh
Scenario:
If you change a parameter manually in any services inside AWS and
then you want to roll back to previous value then it is mandatory to
have it inside the desired state files.
4. • D. Interpolation, Attributes & Variables:
• Attributes and Output Values
Resource instances managed by Terraform each export attributes whose values
can be used elsewhere in configuration. Output values are a way to expose some
of that information to the user of your module.
Note: For brevity, output values are often referred to as just "outputs" when the
meaning is clear from context.
23. • Steps:
1. Install Ansible on the system.
2. Write a playbook to install and configure the
applications.
3. Copy and paste the pem file which is tagged to the
instance.
4. Write your tf code to build and provision the instance
. Inside the tf code call ansible playbook to run it like
below.