The document describes steps to set up a test environment using Vagrant and Ansible:
1. Clone Vagrantfile and Ansible role repositories for nginx configuration
2. Create vagrant.yaml file to define VM ports and site.yaml playbook to configure nginx
3. Run vagrant up to provision VM, vagrant provision to run Ansible, and ansible-playbook to run the playbook
4. Connect to the VM via vagrant ssh and use the private key to ssh
5. Destroy the test environment with vagrant destroy
restoring the soil physical structure and chemical fertility, improving soil organic C and therefore, sustaining the system productivity. Nitrogen fixers and phosphate solubilizer contribute through biological fixation of nitrogen, solubilization of fixed nutrients and enhanced uptake of plant nutrients (Gupta et al., 2003).
INM tries to reduce the need for chemical fertilizers by taking advantages of non-chemical sources of nutrients such as the manures, composts and bio-fertilizers (Gopalasundaram et al., 2012). Bio-fertilizers application not only increases plants growth and yield, but increase soil microbial population and activity; resulting in improved soil fertility (Ramesh et al., 2014). They include free-living bacteria which promote plant growth even in polluted soils. Azospirillum, Azotobacter, Pseudomonas, Bacillus and Thiobacillus are examples of these bacteria (Zahir et al., 2004). Niess (2002) reported that plant growth promoting bacteria reduced the toxicity of heavy metals and increased plant growth and yield.
Intercropping has been in practice for centuries to sustain yield, minimize risk, utilize the lag phase, and improve productivity (Rao, 2000). It reported that physico-chemical changes in soil under pure and alley cropping with Leucaena leucocephala (after six year) and found that alley cropping more suitable than pure crop (Gangwar et al., 2004).
초대용량의 3차원 BIM/AEC/GIS 자료를 웹에서 시각화하고 관리할 수 있는 오픈소스 프로젝트 mago3D(http://www.mago3d.com) 기술 워크샵 자료(한국어)입니다.
mago3D에 대한 개요, 설치, 파일 변환, 활용 방법 등에 대해 설명하고 있습니다. 스스로 따라해 보면서 실습할 수 있도록 구성했습니다. mago3D에 관심 있는 분들은 참고하시기 바랍니다.
감사합니다.
Dryland agriculture contributes about 60 per cent of the food to the country. The climate change and the rainfall variability affects the crops grown in these lands. The improved agricultural practices will help the farmers to take care of the crops grown and reap higher yields. The sustainability and production factors will be improved with the advanced technologies. The tillage operations, moisture conservation practices, improved varieties, farm machinery, cropping systems will help for the economic stability of the farmers.
restoring the soil physical structure and chemical fertility, improving soil organic C and therefore, sustaining the system productivity. Nitrogen fixers and phosphate solubilizer contribute through biological fixation of nitrogen, solubilization of fixed nutrients and enhanced uptake of plant nutrients (Gupta et al., 2003).
INM tries to reduce the need for chemical fertilizers by taking advantages of non-chemical sources of nutrients such as the manures, composts and bio-fertilizers (Gopalasundaram et al., 2012). Bio-fertilizers application not only increases plants growth and yield, but increase soil microbial population and activity; resulting in improved soil fertility (Ramesh et al., 2014). They include free-living bacteria which promote plant growth even in polluted soils. Azospirillum, Azotobacter, Pseudomonas, Bacillus and Thiobacillus are examples of these bacteria (Zahir et al., 2004). Niess (2002) reported that plant growth promoting bacteria reduced the toxicity of heavy metals and increased plant growth and yield.
Intercropping has been in practice for centuries to sustain yield, minimize risk, utilize the lag phase, and improve productivity (Rao, 2000). It reported that physico-chemical changes in soil under pure and alley cropping with Leucaena leucocephala (after six year) and found that alley cropping more suitable than pure crop (Gangwar et al., 2004).
초대용량의 3차원 BIM/AEC/GIS 자료를 웹에서 시각화하고 관리할 수 있는 오픈소스 프로젝트 mago3D(http://www.mago3d.com) 기술 워크샵 자료(한국어)입니다.
mago3D에 대한 개요, 설치, 파일 변환, 활용 방법 등에 대해 설명하고 있습니다. 스스로 따라해 보면서 실습할 수 있도록 구성했습니다. mago3D에 관심 있는 분들은 참고하시기 바랍니다.
감사합니다.
Dryland agriculture contributes about 60 per cent of the food to the country. The climate change and the rainfall variability affects the crops grown in these lands. The improved agricultural practices will help the farmers to take care of the crops grown and reap higher yields. The sustainability and production factors will be improved with the advanced technologies. The tillage operations, moisture conservation practices, improved varieties, farm machinery, cropping systems will help for the economic stability of the farmers.
this slide includes recent approaches to evaluate cropping system.
It includes system profitability,relative production efficiency,land use efficienct(LUE),Calculation of LUE,energy efficiency,specific energy,Rotational intensity,Cropping intensity,Multiple cropping index(MCI),Land equivalent ratio (LER),Relative yields total (RYT),Crop equivalent yields (CEY),Relative Spread Index
Agricultural development and food security have been the major concerns of India since independence. The emphasis given has, however, varied with the result that the development of the agricultural sector has witnessed its peaks and troughs intermittently. The First Five Year Plan kept at its core the development of agriculture as its primary focus. Despite this, during the Second Plan, India faced severe food shortage. To deal with this problem, in 1958, India invited a team of experts (led by Dr. S.E. Johnson of US Department of Agriculture) to examine the causes of food grain shortages and suggest remedial measures. The team [in its report entitled “India’s Food Problem and Steps to Meet It” (1959)] recommended that India should focus more on those areas where the potential of raising agricultural productivity was high. Consequent to this, some already developed regions were selected for intensive cultivation to grow more food grains. Later in 1960s, two major programmes viz. Intensive Agriculture Area Programme (IAAP, 1961) and Intensive Agriculture District Programme (IADP, 1964) were launched. These two programmes made large investments in irrigation, fertilizer, agricultural R&D, education, and extension services which together led to achieve a period of high growth in productivity and production in Indian agriculture, popularly referred to as the green revolution (GR).
Redis + Structured Streaming—A Perfect Combination to Scale-Out Your Continuo...Databricks
"Continuous applications" supported by Apache Spark's Structured Streaming API enable real-time decision making in the areas such as IoT, AI, fraud mitigation, personalized experience, etc. All continuous applications have one thing in common: they collect data from various sources (devices in IoT, for example), process them in real-time (example: ETL), and deliver them to machine learning serving layer for decision making. Continuous applications face many challenges as they grow to production. Often, due to the rapid increase in the number devices or end-users or other data sources, the size of their data set grows exponentially. This results in a backlog of data to be processed. The data will no longer be processed in near-real-time. Redis, the open-source, in-memory database offers many options to handle this situation in a cost-effective manner. First and foremost, you could insert Redis into an existing continuous application without disrupting its architecture, and with minimal code changes. Redis, being in-memory, allows over a million writes per second with sub-millisecond latency. The Redis Stream data structure enables you to collect both binary and text data in the time series format. The consumer groups of Redis Stream help you match the data processing rate of your continuous application with the rate of data arrival from various sources. In this session, I will perform a live demonstration of how to integrate a continuous application using Apache Spark's Structured Streaming API with open source Redis. I will also walk through the code, and run a live IoT continuous application.
Speaker: Roshan Kumar
The Five Stages of Enterprise Jupyter DeploymentFrederick Reiss
Meetup talk from May 30, 2018.
Jupyter notebooks are an important tool for data science. For a single user on a laptop, these notebooks are a simple, straightforward tool. But Jupyter in the enterprise is a much more complex affair. Enterprises have large teams of data scientists who need to run their notebooks atop scalable compute infrastructure with secure, audited access to massive, proprietary data sets; all while keeping hardware costs down.
Here at IBM’s Center for Open-Source Data and AI Technologies, we’ve seen multiple enterprise rollouts of Jupyter notebooks, both first-hand, in IBM products and services; and second-hand, in our discussions with other members of the Jupyter community.
In this talk, we merge together the stories of these projects and walk through the process of deploying high-performance, secure, mulitentant Jupyter notebooks in an enterprise setting. Our goal is here is inform others who may be at the beginning of this journey of what is coming and how to navigate the challenges ahead.
Along the way, we answer five important questions: What are Jupyter notebooks? What makes Jupyter so attractive to data scientists? Why is deploying Jupyter in the enterprise difficult? What are your deployment options today? And, what are the tradeoffs of those approaches?
We’ll finish with a description of how how IBM and other members of the Jupyter community are working towards reducing those tradeoffs with the Jupyter Enterprise Gateway project. Finally, we’ll give a demonstration of multitenant Jupyter notebooks in action.
This talk is aimed at enterprise architects who need to support growing data science teams with multi-user deployments of Jupyter. No knowledge of data science is required.
Abstract: Composer is a tool for managing dependencies in PHP projects. This talk will introduce Composer and its associated package repository Packagist. The key features and benefits of using Composer will be explored and through practical demonstrations you will gain a working knowledge of using Composer for dependency management.
this slide includes recent approaches to evaluate cropping system.
It includes system profitability,relative production efficiency,land use efficienct(LUE),Calculation of LUE,energy efficiency,specific energy,Rotational intensity,Cropping intensity,Multiple cropping index(MCI),Land equivalent ratio (LER),Relative yields total (RYT),Crop equivalent yields (CEY),Relative Spread Index
Agricultural development and food security have been the major concerns of India since independence. The emphasis given has, however, varied with the result that the development of the agricultural sector has witnessed its peaks and troughs intermittently. The First Five Year Plan kept at its core the development of agriculture as its primary focus. Despite this, during the Second Plan, India faced severe food shortage. To deal with this problem, in 1958, India invited a team of experts (led by Dr. S.E. Johnson of US Department of Agriculture) to examine the causes of food grain shortages and suggest remedial measures. The team [in its report entitled “India’s Food Problem and Steps to Meet It” (1959)] recommended that India should focus more on those areas where the potential of raising agricultural productivity was high. Consequent to this, some already developed regions were selected for intensive cultivation to grow more food grains. Later in 1960s, two major programmes viz. Intensive Agriculture Area Programme (IAAP, 1961) and Intensive Agriculture District Programme (IADP, 1964) were launched. These two programmes made large investments in irrigation, fertilizer, agricultural R&D, education, and extension services which together led to achieve a period of high growth in productivity and production in Indian agriculture, popularly referred to as the green revolution (GR).
Redis + Structured Streaming—A Perfect Combination to Scale-Out Your Continuo...Databricks
"Continuous applications" supported by Apache Spark's Structured Streaming API enable real-time decision making in the areas such as IoT, AI, fraud mitigation, personalized experience, etc. All continuous applications have one thing in common: they collect data from various sources (devices in IoT, for example), process them in real-time (example: ETL), and deliver them to machine learning serving layer for decision making. Continuous applications face many challenges as they grow to production. Often, due to the rapid increase in the number devices or end-users or other data sources, the size of their data set grows exponentially. This results in a backlog of data to be processed. The data will no longer be processed in near-real-time. Redis, the open-source, in-memory database offers many options to handle this situation in a cost-effective manner. First and foremost, you could insert Redis into an existing continuous application without disrupting its architecture, and with minimal code changes. Redis, being in-memory, allows over a million writes per second with sub-millisecond latency. The Redis Stream data structure enables you to collect both binary and text data in the time series format. The consumer groups of Redis Stream help you match the data processing rate of your continuous application with the rate of data arrival from various sources. In this session, I will perform a live demonstration of how to integrate a continuous application using Apache Spark's Structured Streaming API with open source Redis. I will also walk through the code, and run a live IoT continuous application.
Speaker: Roshan Kumar
The Five Stages of Enterprise Jupyter DeploymentFrederick Reiss
Meetup talk from May 30, 2018.
Jupyter notebooks are an important tool for data science. For a single user on a laptop, these notebooks are a simple, straightforward tool. But Jupyter in the enterprise is a much more complex affair. Enterprises have large teams of data scientists who need to run their notebooks atop scalable compute infrastructure with secure, audited access to massive, proprietary data sets; all while keeping hardware costs down.
Here at IBM’s Center for Open-Source Data and AI Technologies, we’ve seen multiple enterprise rollouts of Jupyter notebooks, both first-hand, in IBM products and services; and second-hand, in our discussions with other members of the Jupyter community.
In this talk, we merge together the stories of these projects and walk through the process of deploying high-performance, secure, mulitentant Jupyter notebooks in an enterprise setting. Our goal is here is inform others who may be at the beginning of this journey of what is coming and how to navigate the challenges ahead.
Along the way, we answer five important questions: What are Jupyter notebooks? What makes Jupyter so attractive to data scientists? Why is deploying Jupyter in the enterprise difficult? What are your deployment options today? And, what are the tradeoffs of those approaches?
We’ll finish with a description of how how IBM and other members of the Jupyter community are working towards reducing those tradeoffs with the Jupyter Enterprise Gateway project. Finally, we’ll give a demonstration of multitenant Jupyter notebooks in action.
This talk is aimed at enterprise architects who need to support growing data science teams with multi-user deployments of Jupyter. No knowledge of data science is required.
Abstract: Composer is a tool for managing dependencies in PHP projects. This talk will introduce Composer and its associated package repository Packagist. The key features and benefits of using Composer will be explored and through practical demonstrations you will gain a working knowledge of using Composer for dependency management.
Drupal 8 configuration management
Video of the presentation: http://2014.drupalcampmsk.ru/node/44 (Russian)
You can also check my article on this topic: http://amazeelabs.com/node/1093 (English)
Alexander Tkachev @ Amazee Labs
DrupalConf Moscow 2014
PuppetConf 2016: The Challenges with Container Configuration – David Lutterko...Puppet
Here are the slides from David Lutterkort's PuppetConf 2016 presentation called The Challenges with Container Configuration. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
Introducing containers into your infrastructure brings new capabilities, but also new challenges, in particular around configuration. This talk will take a look under the hood at some of those operational challenges including:
* The difference between runtime and build-time configuration, and the importance of relating the two together.
* Configuration drift, immutable mental models and mutable container file systems.
* Who configures the orchestrators?
* Emergent vs. model driven configuration.
In the process we will identify some common problems and talk about potential solutions.
Talk from PuppetConf 2016
Fast and cost effective geospatial analysis pipeline with AWS lambdaMila Frerichs
The need for fast and cost effective geospatial analysis pipelines is always present. With the new serverless services out there it is getting more easy and accessible to create an analysis pipeline that is cost effective and fast.
This talk will show how to use the power of serverless infrastructure and AWS to get fast results at a low cost.
It will show how to use geospatial analysis both in python and node environments. How to install the important libraries that you need for your daily analysis. And how to test out your Lambda functions locally to save even more money.
Hadoop installation on windows using virtual box and also hadoop installation on ubuntu
http://logicallearn2.blogspot.in/2018/01/hadoop-installation-on-ubuntu.html
Linux command line cheatsheet contains useful day to day commands that are used when working with Linux Mint/Ubuntu terminal and simplifies understanding of what these commands do and when to use them.
The title "Big Data using Hadoop.pdf" suggests that the document is likely a PDF file that focuses on the utilization of Hadoop technology in the context of Big Data. Hadoop is a popular open-source framework for distributed storage and processing of large datasets. The document is expected to cover various aspects of working with big data, emphasizing the role of Hadoop in managing and analyzing vast amounts of information.
Similar to Best practices for ansible roles development (20)
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
6. - file:
path: "{{ my_path }}"
owner: "foo"
group: "bar"
mode: "0644"
- copy:
dest: "{{ my_path }}"
content: " Some very long line
which needs to be wrapped"
- copy:
dest: "{{ my_path }}"
content: "FirstnSecondn"
- file:
path: "{{ my_path }}"
owner: foo
group: bar
mode: 0644
- copy:
dest: "{{ my_path }}"
content: >2-
Some very long line
which needs to be wrapped
- copy:
dest: "{{ my_path }}"
content: |
First
Second