Terraform allows users to define infrastructure as code to provision resources across multiple cloud platforms. It aims to describe infrastructure in a configuration file, provision resources efficiently by leveraging APIs, and manage the full lifecycle from creation to deletion. Key features include supporting composability across different infrastructure tiers, using a graph-based approach to parallelize operations for efficiency, and managing state to track resource unique IDs and allow recreating resources. Providers enable connectivity to different cloud APIs while resources define the specific infrastructure components and their properties.
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.
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.
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
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.
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.
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
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
Building infrastructure with Terraform (Google)Radek Simko
Building your infrastructure as one-off thing by clicking in the UI of your chosen cloud provider may be easy, but that isn't scalable nor fun in long-term nor in team.
Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions.
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.
Terraform: Configuration Management for Cloud ServicesMartin Schütte
Hashicorp's Terraform provides a declarative notation (like Puppet) to describe various cloud resources. It is an open-source tool, provider-independent, and thus able to combine resources from multiple cloud platforms and to be extended through plugins.
The talk demonstrates how to describe a small web application with Terraform, showing how easily all related components can be started, updated, and stopped. It also shows how to organise larger projects using modules and gives an introduction to writing plugins for one’s own services.
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
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
Listen up, developers. You are not special. Your infrastructure is not a beautiful and unique snowflake. You have the same tech debt as everyone else. This is a talk about a better way to build and manage infrastructure: Terraform Modules. It goes over how to build infrastructure as code, package that code into reusable modules, design clean and flexible APIs for those modules, write automated tests for the modules, and combine multiple modules into an end-to-end techs tack in minutes.
You can find the video here: https://www.youtube.com/watch?v=LVgP63BkhKQ
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
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
Modern infrastructure can sometimes look like a wedding cake with many different layers. It’s no surprise for seasoned users that Terraform was able to provision the most lower layers - compute - for a long while. Skipping a few layers in between, workload scheduler like Kubernetes is typically represented as the top one, exposing high-level APIs for scheduling and scaling pods, managing persistent volumes and restrictions & limits for scheduling.
Terraform 0.10 comes with Kubernetes provider which supports all stable (v1) Kubernetes resources from K8S 1.6.
In this talk you’ll hear about particular examples of where it’s useful to use Terraform for managing K8S resources, what benefits do you get compared to other solutions and demo gods permitting you’ll also see how to get from zero to an application running on K8S.
https://www.hashiconf.com/talks/radek-simko.html
Recording: https://www.youtube.com/watch?v=-UtqHkrvFro
Hashicorp’s Terraform provides a declarative notation (like Puppet) to describe various Cloud resources. It is an open-source tool, provider-independent, and thus able to combine resources from multiple cloud platforms and to be extended through plugins. The talk demonstrates how to describe web application infrastructure with Terraform, showing how easily all related components can be started, updated, and stopped.
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.
OSDC 2015: Mitchell Hashimoto | Automating the Modern Datacenter, Development...NETWAYS
Physical, virtual, containers. Public cloud, private cloud, hybrid cloud. IaaS, PaaS, SaaS. These are the choices that we're faced with when architecting a datacenter of today. And the choice is not one or the other; it is often a combination of many of these. How do we remain in control of our datacenters? How do we deploy and configure software, manage change across disparate systems, and enforce policy/security? How do we do this in a way that operations engineers and developers alike can rejoice in the processes and workflow?
In this talk, I will discuss the problems faced by the modern datacenter, and how a set of open source tools including Vagrant, Packer, Consul, and Terraform can be used to tame the rising complexity curve and provide solutions for these problems.
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
Building infrastructure with Terraform (Google)Radek Simko
Building your infrastructure as one-off thing by clicking in the UI of your chosen cloud provider may be easy, but that isn't scalable nor fun in long-term nor in team.
Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions.
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.
Terraform: Configuration Management for Cloud ServicesMartin Schütte
Hashicorp's Terraform provides a declarative notation (like Puppet) to describe various cloud resources. It is an open-source tool, provider-independent, and thus able to combine resources from multiple cloud platforms and to be extended through plugins.
The talk demonstrates how to describe a small web application with Terraform, showing how easily all related components can be started, updated, and stopped. It also shows how to organise larger projects using modules and gives an introduction to writing plugins for one’s own services.
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
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
Listen up, developers. You are not special. Your infrastructure is not a beautiful and unique snowflake. You have the same tech debt as everyone else. This is a talk about a better way to build and manage infrastructure: Terraform Modules. It goes over how to build infrastructure as code, package that code into reusable modules, design clean and flexible APIs for those modules, write automated tests for the modules, and combine multiple modules into an end-to-end techs tack in minutes.
You can find the video here: https://www.youtube.com/watch?v=LVgP63BkhKQ
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
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
Modern infrastructure can sometimes look like a wedding cake with many different layers. It’s no surprise for seasoned users that Terraform was able to provision the most lower layers - compute - for a long while. Skipping a few layers in between, workload scheduler like Kubernetes is typically represented as the top one, exposing high-level APIs for scheduling and scaling pods, managing persistent volumes and restrictions & limits for scheduling.
Terraform 0.10 comes with Kubernetes provider which supports all stable (v1) Kubernetes resources from K8S 1.6.
In this talk you’ll hear about particular examples of where it’s useful to use Terraform for managing K8S resources, what benefits do you get compared to other solutions and demo gods permitting you’ll also see how to get from zero to an application running on K8S.
https://www.hashiconf.com/talks/radek-simko.html
Recording: https://www.youtube.com/watch?v=-UtqHkrvFro
Hashicorp’s Terraform provides a declarative notation (like Puppet) to describe various Cloud resources. It is an open-source tool, provider-independent, and thus able to combine resources from multiple cloud platforms and to be extended through plugins. The talk demonstrates how to describe web application infrastructure with Terraform, showing how easily all related components can be started, updated, and stopped.
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.
OSDC 2015: Mitchell Hashimoto | Automating the Modern Datacenter, Development...NETWAYS
Physical, virtual, containers. Public cloud, private cloud, hybrid cloud. IaaS, PaaS, SaaS. These are the choices that we're faced with when architecting a datacenter of today. And the choice is not one or the other; it is often a combination of many of these. How do we remain in control of our datacenters? How do we deploy and configure software, manage change across disparate systems, and enforce policy/security? How do we do this in a way that operations engineers and developers alike can rejoice in the processes and workflow?
In this talk, I will discuss the problems faced by the modern datacenter, and how a set of open source tools including Vagrant, Packer, Consul, and Terraform can be used to tame the rising complexity curve and provide solutions for these problems.
Hashidays London 2017 - Evolving your Infrastructure with Terraform By Nicki ...OpenCredo
So you are using Terraform to manage your infrastructure, fantastic! However have you ever accidentally destroyed your production setup? Or managed to change some part of your infrastructure you were not expecting to?
This talk explores some common pain points experienced by users on different parts of their Terraform journey and provides insight into how you can evolve your Terraform setup to manage and address these challenges.
Infrastructure as code terraformujeme cloudViliamPucik
OpenAlt2019 - Ako si uľahčiť a zautomatizovať vytváranie cloudovej infraštruktúry ako sú virtuálne stroje, databázy, siete, používateľské kontá a mnoho iného? Poďme sa pozrieť, ako si deklaratívnym spôsobom pohodlne zadefinujeme, čo všetko chceme mať napríklad v AWS cloude a ako si pomocou open source nástrojov Terraform a Terragrunt všetko jednoducho vytvoríme, zmeníme alebo odstránime.
Erik Skytthe - Monitoring Mesos, Docker, Containers with Zabbix | ZabConf2016Zabbix
At DBC we are running docker and other container types in a mesos/marathon cluster environment. I will demonstrate how we collect statistics, logs etc. and monitor this environment, showing configuration examples, data flows and templates.
Some of the covered topics:
- Mesos master and agents
- Marathon Framework
- Docker engine
- Containers
- Zookeeper
- Elasticserach/ELK
Infrastructure-as-code: bridging the gap between Devs and OpsMykyta Protsenko
Ops are overwhelmed with support. Devs are mad because their cannot deploy the changes as fast as they want. Sounds familiar?
Infrastructure-as-code can make your life easier by empowering developers and reducing operations' routine toil. It can cut down the lead time for infrastructure provisioning from hours or even days to minutes.
This talk reviews several IaC tools and approaches, showing how to integrate them into continuous delivery pipeline. It covers the problems and challenges that engineers may face while working with infrastructure-as-code tools and provides a few hands-on recipes to address them.
Orchestrating Docker with Terraform and Consul by Mitchell Hashimoto Docker, Inc.
Terraform is a tool for building and safely iterating on infrastructure, while Consul provides service discovery, monitoring and orchestration. In this talk we discuss using Terraform and Consul together to build a Docker-based Service Oriented Architecture at scale. We use Consul to provide the runtime control plane for the datacenter, and Terraform is used to modify the underlying infrastructure to allow for elastic scalability.
Altitude SF 2017: Nomad and next-gen application architecturesFastly
Armon Dadgar offers an overview of Nomad, an application scheduler designed for both long-running services and batch jobs. Along the way, Armon explores the benefits of using schedulers for empowering developers and increasing resource utilization and how schedulers enable new next-generation application architectures.
nuclio is iguazio's open source serverless project. nuclio is 100x faster, brings significant new functionality and works with data and event sources to accelerate performance and development.
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build
and run applications that work with highly connected datasets. The core of Neptune is a purpose-built,
high-performance graph database engine. This engine is optimized for storing billions of relationships
and querying the graph with milliseconds latency. Neptune supports the popular graph query languages
Apache TinkerPop Gremlin, the W3C’s SPARQL, and Neo4j's openCypher, enabling you to build
queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as
recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon
S3, and replication across Availability Zones. Neptune provides data security features, with support
for encryption at rest and in transit. Neptune is fully managed, so you no longer need to worry about
database management tasks like hardware provisioning, software patching, setup, configuration, or
backups
LAMP Stack (Reloaded) - Infrastructure as Code with Terraform & PackerJan-Christoph Küster
Talk given at Coding Leipzig Meetup (8th August, 2018).
Why infrastructure should be managed as code (IaC), a small intro to the IaC-tooling Terraform (and Packer), and a demo that shows how to use Terraform to deploy a good old LAMP Stack into the Cloud by the push of a button (https://github.com/cloudetc/lamp-stack-for-aws).
Vous avez récemment commencé à travailler sur Spark et vos jobs prennent une éternité pour se terminer ? Cette présentation est faite pour vous.
Himanshu Arora et Nitya Nand YADAV ont rassemblé de nombreuses bonnes pratiques, optimisations et ajustements qu'ils ont appliqué au fil des années en production pour rendre leurs jobs plus rapides et moins consommateurs de ressources.
Dans cette présentation, ils nous apprennent les techniques avancées d'optimisation de Spark, les formats de sérialisation des données, les formats de stockage, les optimisations hardware, contrôle sur la parallélisme, paramétrages de resource manager, meilleur data localité et l'optimisation du GC etc.
Ils nous font découvrir également l'utilisation appropriée de RDD, DataFrame et Dataset afin de bénéficier pleinement des optimisations internes apportées par Spark.
Similar to Declarative & workflow based infrastructure with Terraform (20)
Managing modern infrastructure presents many different challenges. While the main operational aspects of infrastructure like durability, availability, scalability, security are very important, there’s also one aspect which should enable and support all the others - automation. Automation is a very abstract word, so the talk will briefly explain what benefits does IaC approach bring to the table and why configuration management (often driven by tools like Ansible, Puppet, Salt, Chef etc.) is just one of many layers in an automated production infrastructure. Then we will walk through the main design goals of an open source IaC tool (Terraform) that enables users to write, plan and apply changes of a production infrastructure in Google Cloud, and explain how to do it.
https://devfest.gdg.org.ua/schedule/day1?sessionId=143
Demo: https://github.com/radeksimko/devfest-ua-2017-talk-demo
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
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.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
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.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
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
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
7. @radeksimko
Terraform Goals
● Describe infrastructure as code
● Provision efficiently (get as far as APIs allow at a time)
● Cover the whole lifecycle of the infrastructure
● Provide composability within and across multiple tiers (IaaS, PaaS, SaaS)
8. @radeksimko
Terraform is NOT solving
● OS-level provisioning
○ Chef
○ Puppet
○ Ansible
○ SaltStack
○ …
● But integrates with these tools
32. Terminal
@radeksimko
#!/bin/sh
# Renaming DB instance
aws rds create-instance … # new one
aws rds restore-from-snapshot …
aws route53 update-recordset …
aws rds destroy-instance … # old one
33. Terminal
@radeksimko
#!/bin/sh
# Renaming DB instance
aws rds create-instance … # new one
# wait until state == launched
aws rds restore-from-snapshot …
# wait until restored
aws route53 update-recordset …
# wait until DNS in sync
aws rds destroy-instance … # old one
# wait until instance gone
36. @radeksimko
Resource Schema
● More or less mapped to API structures
● Allows TF make decisions during the lifecycle
○ Creation
○ Updates
○ Destruction
● Allows TF to present accurate plan ahead of applying it
● Non-updatable fields
46. @radeksimko
Providers
Amazon Bitbucket CenturyLink Cloud
CloudFlare CloudStack Cobbler
Consul Datadog DigitalOcean
DNSMadeEasy DNSimple Docker
Dyn GitHub Fastly
Google Heroku Librato
Microsoft Azure MySQL OpenStack
Packet PostgreSQL SoftLayer
UltraDNS VMware vSphere and more...
47. @radeksimko
Providers
Amazon Bitbucket CenturyLink Cloud
CloudFlare CloudStack Cobbler
Consul Datadog DigitalOcean
DNSMadeEasy DNSimple Docker
Dyn GitHub Fastly
Google Heroku Librato
Microsoft Azure MySQL OpenStack
Packet PostgreSQL SoftLayer
UltraDNS VMware vSphere and more...
48. @radeksimko
Providers
Amazon Bitbucket CenturyLink Cloud
CloudFlare CloudStack Cobbler
Consul Datadog DigitalOcean
DNSMadeEasy DNSimple Docker
Dyn GitHub Fastly
Google Heroku Librato
Microsoft Azure MySQL OpenStack
Packet PostgreSQL SoftLayer
UltraDNS VMware vSphere and more...
49. @radeksimko
Provider
● Group of resources
● Responsible for validating creds, setting up connection to API(s)
● Works in isolation
○ Terraform core is responsible for relationships between providers
● Is pluggable
○ Binary which talks RPC
○ Can be written in any language
■ But nobody has written helper libraries outside of Go land so far
51. @radeksimko
Resource
● CR(U)D
○ Create()
○ Read()
○ Update()
○ Delete()
● API specifics
● Responsible for eventually making API calls
● Arguments (e.g. tags to assign to EC2 instance, AMI ID to use)
● Attributes (e.g. instance ID, ...)
53. @radeksimko
Data Source
● The “R” from resources (CRUD)
● Useful for
○ building on existing infrastructure
○ Keeping configs reusable
● Never modify loaded resource
54. File
data "aws_availability_zones" "available" {}
# Create 1 subnet per availability zone
resource "aws_subnet" "primary" {
count = "${length(data.aws_availability_zones.available.names)}"
availability_zone = "${data.aws_availability_zones.available.names[count.index]}"
...
}
60. @radeksimko
Existing resources
● Lookups via tags or names
○ Not everything AWS supports tags
○ Not every provider supports tags
○ Tags may not be unique
○ Unique names don’t allow graceful recreation
○ 1 extra lookup API call to get the real unique ID for modify/delete API calls
● Storing unique ID in a state (Terraform)
○ Guaranteed to be unique
○ Provider-agnostic solution
61. @radeksimko
Worst case scenario
● Duplicate/wrong tag/name
■ Changed wrong resource
■ Destroyed wrong resource
● Drifted/decoupled state
○ Duplicate infrastructure
○ Original (production?) resources intact
62. @radeksimko
State Mgmt in Terraform
● Part of Remote Backend
○ Remote State
○ Locking
○ Environments
● Many supported backends
○ Consul, etcd
○ Azure Storage, S3, Google Cloud Storage
○ TFE
○ ...