DRUPAL CI/CD FROM DEV TO PROD WITH GITLAB, KUBERNETES AND HELMDrupalCamp Kyiv
I will share my experience with deploying multiple Drupal apps to different instances based on Gitlab integration with Kubernetes, used Helm charts for k8s templating, building CI/CD pipeline with GitlabCI, with examples and details on different stages. Also, we'll cover dynamic review envs, multisite installation, SSL and implementing extended configurations.
https://drupalcampkyiv.org/node/40
Back to FME School - Day 3: Expanding FrontiersSafe Software
It's that time of year. The season is changing and FME 'school' is now in session! Join us for a series of 9 mini-talks to learn the latest tips for data transformation, see live demos, and get your FME questions answered. Registration gives you access for all three days — sign up now to tune in to the talks you're most interested in.
Course Schedule - 40 Minute Talks:
Expanding Frontiers - Day 3
- Remote sensing providers
- Web and business data into gold
- New + Upcoming in FME Cloud
[Full slides now also available at http://www.slideshare.net/adrianco/netflix-on-cloud-combined-slides-for-dev-and-ops]
Short summary of why Netflix is running on the Amazon cloud, what is running there, what we have learned and where this is taking us.
This is the introduction section to a series of public presentations that will go into much more detail. The Silicon Valley Cloud Computing Meetup was on Oct 14th, QCon San Francisco November 3rd.
Netflix transitioned from a DVD rental business to a streaming business in 2008. This required moving its infrastructure to the cloud. Netflix decided to outsource capacity planning and scaling to Amazon Web Services (AWS) rather than build its own data centers. This allowed Netflix to focus on its core competency of content and applications while AWS managed the infrastructure. Netflix developed applications and services to run on AWS infrastructure and fill gaps in AWS offerings at the time. It used various AWS services like EC2, S3, SimpleDB and others to host its platform and store and access data in a scalable way. This transition enabled Netflix to grow internationally without the constraints of physical infrastructure.
Instant download Terraform in Depth (MEAP V01) Robert Hafner pdf all chapterakceyohros
Obtain Terraform in Depth (MEAP V01) Robert Hafner instantly after payment at https://ebookmeta.com/product/terraform-in-depth-meap-v01-robert-hafner. Check out additional textbooks and ebooks in https://ebookmeta.com Full chapter PDF download.
Cloud Foundry Technical Overview at IBM Interconnect 2016Stormy Peters
Cloud Foundry is an open source platform that allows developers to build, deploy, and manage cloud applications. It provides tools for continuous integration, deployment, and scaling of applications. The platform handles tasks like provisioning infrastructure, load balancing, and managing services so developers can focus on their code. Cloud Foundry uses containers and a buildpack system to make applications portable and scalable across different cloud environments.
A brief introduction to IaC with Terraform by Kenton Robbins (codeHarbour May...Alex Cachia
A brief introduction to IaC with Terraform by Kenton Robbins
Managing cloud infrastructure can be a complex and time consuming process. Using Terraform, we are able to create a blueprint capable of reproducing your infrastructure simply by running a script. Find out how 'infrastructure as code' can reduce operational costs and risk while increasing efficiency and stability.
Hosted by Alex Cachia, codeHarbour provides an opportunity for discussion and a platform for digital presenters to get their technological ideas out there to the people who need to hear it.
This document discusses key aspects of cloud native applications and platforms. It notes there is consensus around cloud native traits like containers, microservices, platform independence, and automation. Cloud Foundry is presented as a platform that can deploy and manage cloud native applications by providing automated scaling, routing, service integration, and other capabilities through declarative configuration. The platform handles tasks like detecting application frameworks, linking to services, self-service deployment, routing, versioning, upgrades, scaling, and more through simple commands. This allows developers to focus on their code while the platform manages the complex runtime environment.
A case study why Zoominfo uses Terraform Cloud in high-scale environment. Tal Hibner
We hosted Tal Hibner, Senior DevOps Engineer from ZoomInfo, and he shared a case study why they use Terraform Cloud in high-scale environment. To get the summary, full recording and transcription visit here: https://www.almtoolbox.com/blog_he/terraform-cloud-webinar-zoominfo/
Terraform Automation in Azure Cloud Online Training in Hyderabad.pptxsivavisualpath
Visualpath provides top-quality Terraform Automation in Azure Cloud Online Training conducted by real-time experts. Our training is available worldwide, and we offer daily recordings and presentations for reference. Call us at +91-9989971070 for a free demo.
WhatsApp: https://www.whatsapp.com/catalog/919989971070/
Visit blog: https://visualpathblogs.com/
Visit: https://www.visualpath.in/terraform-online-training-in-hyderabad.html
Terraform and Pulumi are both infrastructure as code tools but they differ in key ways. Terraform uses HCL syntax and focuses on infrastructure resources while Pulumi uses regular programming languages to define cloud resources and applications together. Pulumi supports more providers but Terraform is easier to use for developers with system administration experience. Both tools use state files to track infrastructure changes but Pulumi state is managed through its CLI and service while Terraform uses local or remote state files.
This document provides an overview of using Terraform to manage cloud infrastructure. It discusses what infrastructure as code (IaC) is and how Terraform supports IaC principles. Key benefits of Terraform include allowing infrastructure to be version controlled and defined declaratively in code. The document also covers basic Terraform concepts like providers, resources, and the HashiCorp configuration language (HCL). It provides an example of how Terraform can be used to define and provision a web application infrastructure on Linode.
Terraform is an open-source provisioning mechanism from HashiCorp registered in the Go language. It is utilized for the construction, modification, and versioning of infrastructure, safely and efficiently. Provisioning tools are accountable for the creation of servers and associated assistance.
Terraform is a tool for provisioning and managing infrastructure safely and efficiently. It allows infrastructure to be defined as code so it can be versioned, shared, and treated like any other code. Key features include showing execution plans so changes are not a surprise, building a graph of dependencies to parallelize changes, and enabling complex automated changesets to infrastructure. Operators use Terraform for the benefits of infrastructure as code, managing multiple cloud platforms through a single workflow, and providing self-service infrastructure through reusable modules.
Terraform refers to the infrastructure similar to the code tools which helps out in defining both clouds as well as on-premise resources. Users can use it as a consistent workflow provision for managing the infrastructure.
This document introduces infrastructure as code (IaC) and the tool Terraform. It defines IaC as using code to describe, create, and manage infrastructure. The key benefits of IaC are the ability to rebuild infrastructure at any time, ensure consistency, and have a repeatable process. Terraform is then introduced as an open-source tool for building, changing, and versioning infrastructure safely and efficiently across various cloud providers and SaaS services. The document outlines Terraform's workflow of writing configuration files, planning changes, and applying changes to infrastructure.
Kubernetes and Terraform are two major software tools that automate the coding and application deployment. Also, they work in IaC (Infrastructure as Code) environment. In this article we will have a debate between Kubernetes vs Terraform.
Devops Columbia October 2020 - Gabriel Alix: A Discussion on TerraformDrew Malone
Wonder why you would want to use Terraform vs it competitors? Why not stick with CFNs, you ask? CDK should do the trick right? Come enjoy an opinionated take on using Terraform, for the betterment of your sanity. Also, includes a light intro to Terraform for those who are new to it.
Gabriel is a Cloud Technologist and accomplished Cyber practitioner who has led & built complex workloads across the IC for 20+ years. He's a native New Yorker from Washington Heights, with a boisterous laugh and calm demeanor. Gabriel has built a strong career starting in Federal service and has evolved into CTO and now VP of IC at Applied Insight. In addition to his technical accolades, he's a social leader that believes in building and growing strong teams
Devops Columbia October 2020 - Gabriel Alix: A Discussion on Terraform DevOpsColumbia
Wonder why you would want to use Terraform vs it competitors? Why not stick with CFNs, you ask? CDK should do the trick right? Come enjoy an opinionated take on using Terraform, for the betterment of your sanity. Also, includes a light intro to Terraform for those who are new to it.
Gabriel is a Cloud Technologist and accomplished Cyber practitioner who has led & built complex workloads across the IC for 20+ years. He's a native New Yorker from Washington Heights, with a boisterous laugh and calm demeanor. Gabriel has built a strong career starting in Federal service and has evolved into CTO and now VP of IC at Applied Insight. In addition to his technical accolades, he's a social leader that believes in building and growing strong teams
This document provides an overview and tutorial on using Terraform for DevOps. It introduces Terraform as a tool for defining and managing infrastructure as code. It then covers installing Terraform, deploying AWS infrastructure like EC2 instances using Terraform configurations, managing variables and outputs, using provisioners, organizing code with modules and workspaces, and managing Terraform state. The document aims to help users get started with Terraform for infrastructure as code.
Terraform vs Kubernetes, Key Differences and Comparison.pdfEIT Academy
Terraform operates at a higher level of abstraction, managing resources and their configurations across cloud environments. Kubernetes operates at a lower level of abstraction, focusing on the deployment and lifecycle of containers within a cluster.
The document discusses Atlantis, an open-source tool for infrastructure as code that integrates with version control systems. It can be installed in various ways like Docker or Kubernetes and works by automating Terraform plans and applies through pull requests. The document outlines Atlantis' features like supporting multiple Terraform versions, locking workspaces, custom configurations, and security best practices.
This document provides an overview of running PostgreSQL in Kubernetes. It defines common Kubernetes concepts like clusters, masters, nodes, pods, services, persistent volumes, and deployments. It also discusses design patterns for running PostgreSQL on Kubernetes, including in a single node or high availability configuration. Finally, it covers deploying to Kubernetes with tools like kubectl and Helm and considerations for monitoring PostgreSQL performance on Kubernetes.
This document compares Terraform and Pulumi infrastructure as code tools. It provides overviews of each tool, including what they are, how they work, and why to use them. For Terraform, it describes it as an IaC tool that defines cloud and on-premise resources in configuration files. For Pulumi, it notes it uses familiar programming languages for IaC. The document also compares key differences like syntax, testing, structuring large projects, and state file troubleshooting. It ends with best practices for both tools.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
A brief introduction to IaC with Terraform by Kenton Robbins (codeHarbour May...Alex Cachia
A brief introduction to IaC with Terraform by Kenton Robbins
Managing cloud infrastructure can be a complex and time consuming process. Using Terraform, we are able to create a blueprint capable of reproducing your infrastructure simply by running a script. Find out how 'infrastructure as code' can reduce operational costs and risk while increasing efficiency and stability.
Hosted by Alex Cachia, codeHarbour provides an opportunity for discussion and a platform for digital presenters to get their technological ideas out there to the people who need to hear it.
This document discusses key aspects of cloud native applications and platforms. It notes there is consensus around cloud native traits like containers, microservices, platform independence, and automation. Cloud Foundry is presented as a platform that can deploy and manage cloud native applications by providing automated scaling, routing, service integration, and other capabilities through declarative configuration. The platform handles tasks like detecting application frameworks, linking to services, self-service deployment, routing, versioning, upgrades, scaling, and more through simple commands. This allows developers to focus on their code while the platform manages the complex runtime environment.
A case study why Zoominfo uses Terraform Cloud in high-scale environment. Tal Hibner
We hosted Tal Hibner, Senior DevOps Engineer from ZoomInfo, and he shared a case study why they use Terraform Cloud in high-scale environment. To get the summary, full recording and transcription visit here: https://www.almtoolbox.com/blog_he/terraform-cloud-webinar-zoominfo/
Terraform Automation in Azure Cloud Online Training in Hyderabad.pptxsivavisualpath
Visualpath provides top-quality Terraform Automation in Azure Cloud Online Training conducted by real-time experts. Our training is available worldwide, and we offer daily recordings and presentations for reference. Call us at +91-9989971070 for a free demo.
WhatsApp: https://www.whatsapp.com/catalog/919989971070/
Visit blog: https://visualpathblogs.com/
Visit: https://www.visualpath.in/terraform-online-training-in-hyderabad.html
Terraform and Pulumi are both infrastructure as code tools but they differ in key ways. Terraform uses HCL syntax and focuses on infrastructure resources while Pulumi uses regular programming languages to define cloud resources and applications together. Pulumi supports more providers but Terraform is easier to use for developers with system administration experience. Both tools use state files to track infrastructure changes but Pulumi state is managed through its CLI and service while Terraform uses local or remote state files.
This document provides an overview of using Terraform to manage cloud infrastructure. It discusses what infrastructure as code (IaC) is and how Terraform supports IaC principles. Key benefits of Terraform include allowing infrastructure to be version controlled and defined declaratively in code. The document also covers basic Terraform concepts like providers, resources, and the HashiCorp configuration language (HCL). It provides an example of how Terraform can be used to define and provision a web application infrastructure on Linode.
Terraform is an open-source provisioning mechanism from HashiCorp registered in the Go language. It is utilized for the construction, modification, and versioning of infrastructure, safely and efficiently. Provisioning tools are accountable for the creation of servers and associated assistance.
Terraform is a tool for provisioning and managing infrastructure safely and efficiently. It allows infrastructure to be defined as code so it can be versioned, shared, and treated like any other code. Key features include showing execution plans so changes are not a surprise, building a graph of dependencies to parallelize changes, and enabling complex automated changesets to infrastructure. Operators use Terraform for the benefits of infrastructure as code, managing multiple cloud platforms through a single workflow, and providing self-service infrastructure through reusable modules.
Terraform refers to the infrastructure similar to the code tools which helps out in defining both clouds as well as on-premise resources. Users can use it as a consistent workflow provision for managing the infrastructure.
This document introduces infrastructure as code (IaC) and the tool Terraform. It defines IaC as using code to describe, create, and manage infrastructure. The key benefits of IaC are the ability to rebuild infrastructure at any time, ensure consistency, and have a repeatable process. Terraform is then introduced as an open-source tool for building, changing, and versioning infrastructure safely and efficiently across various cloud providers and SaaS services. The document outlines Terraform's workflow of writing configuration files, planning changes, and applying changes to infrastructure.
Kubernetes and Terraform are two major software tools that automate the coding and application deployment. Also, they work in IaC (Infrastructure as Code) environment. In this article we will have a debate between Kubernetes vs Terraform.
Devops Columbia October 2020 - Gabriel Alix: A Discussion on TerraformDrew Malone
Wonder why you would want to use Terraform vs it competitors? Why not stick with CFNs, you ask? CDK should do the trick right? Come enjoy an opinionated take on using Terraform, for the betterment of your sanity. Also, includes a light intro to Terraform for those who are new to it.
Gabriel is a Cloud Technologist and accomplished Cyber practitioner who has led & built complex workloads across the IC for 20+ years. He's a native New Yorker from Washington Heights, with a boisterous laugh and calm demeanor. Gabriel has built a strong career starting in Federal service and has evolved into CTO and now VP of IC at Applied Insight. In addition to his technical accolades, he's a social leader that believes in building and growing strong teams
Devops Columbia October 2020 - Gabriel Alix: A Discussion on Terraform DevOpsColumbia
Wonder why you would want to use Terraform vs it competitors? Why not stick with CFNs, you ask? CDK should do the trick right? Come enjoy an opinionated take on using Terraform, for the betterment of your sanity. Also, includes a light intro to Terraform for those who are new to it.
Gabriel is a Cloud Technologist and accomplished Cyber practitioner who has led & built complex workloads across the IC for 20+ years. He's a native New Yorker from Washington Heights, with a boisterous laugh and calm demeanor. Gabriel has built a strong career starting in Federal service and has evolved into CTO and now VP of IC at Applied Insight. In addition to his technical accolades, he's a social leader that believes in building and growing strong teams
This document provides an overview and tutorial on using Terraform for DevOps. It introduces Terraform as a tool for defining and managing infrastructure as code. It then covers installing Terraform, deploying AWS infrastructure like EC2 instances using Terraform configurations, managing variables and outputs, using provisioners, organizing code with modules and workspaces, and managing Terraform state. The document aims to help users get started with Terraform for infrastructure as code.
Terraform vs Kubernetes, Key Differences and Comparison.pdfEIT Academy
Terraform operates at a higher level of abstraction, managing resources and their configurations across cloud environments. Kubernetes operates at a lower level of abstraction, focusing on the deployment and lifecycle of containers within a cluster.
The document discusses Atlantis, an open-source tool for infrastructure as code that integrates with version control systems. It can be installed in various ways like Docker or Kubernetes and works by automating Terraform plans and applies through pull requests. The document outlines Atlantis' features like supporting multiple Terraform versions, locking workspaces, custom configurations, and security best practices.
This document provides an overview of running PostgreSQL in Kubernetes. It defines common Kubernetes concepts like clusters, masters, nodes, pods, services, persistent volumes, and deployments. It also discusses design patterns for running PostgreSQL on Kubernetes, including in a single node or high availability configuration. Finally, it covers deploying to Kubernetes with tools like kubectl and Helm and considerations for monitoring PostgreSQL performance on Kubernetes.
This document compares Terraform and Pulumi infrastructure as code tools. It provides overviews of each tool, including what they are, how they work, and why to use them. For Terraform, it describes it as an IaC tool that defines cloud and on-premise resources in configuration files. For Pulumi, it notes it uses familiar programming languages for IaC. The document also compares key differences like syntax, testing, structuring large projects, and state file troubleshooting. It ends with best practices for both tools.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma
My talk for the Indian School of Business (ISB) Emerging Leaders Program Cohort 9. In this talk, I discussed key issues around adoption of GenAI in business - benefits, opportunities and limitations. I also discussed how my research on Theory of Cognitive Chasms helps address some of these issues
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Ad
Terraform: Taming the Machines Through Continuous Integration
1. TERRAFORM: TAMING THE
MACHINES WITH
CONTINUOUS
INTEGRATION Justin Rice
Source Code: jsrice7391/tf-talk
Medium: Jsrice7391
Twitter: jsrice617
GitHub: Jsrice7391
2. JUSTIN RICE
• DevOps Engineer @
Indigo Ag
• Full-Stack Web
Development Teacher
@ 2U
• New England Native
• Four years in IT
• Broadcast before IT
• Sports, Cyber Sec,
Dogs, Education and
Snow enthusiast
3. INDIGO
• Indigo works to improve
grower profitability,
environmental sustainability, and
consumer health through the use
of natural microbiology and
digital technologies
• Working with digital
technologies in the many
different sectors of the
agricultural distribution pipeline
to bring farmers and consumers
closer to one another and make
a more natural and modern
approach from seed to shelf
4. INDIGO +
TERRAFOR
M
In early 2019, Indigo purchased a company called Tellus
labs, a company that specialized in geospatial mapping
and engineering.
With Tellus being acquired, and a growing software
company that released its first public facing app in July
2018, our DevOps team saw a need for control, but for a
modern age of continuous integration.
This is what we learned, and we’re happy to share it with
you.
6. THE CLASSIC SCENARIO
• Architecture of applications is fixed
and is rarely iterated on
• Big Releases for the sake of
compliance or feature releases.
• Big and scary
8. PROBLEMS
Lots of tools to choose
from
Infrastructure over time
needs documentation.
If you want something
scalable, it has to be
repeatable
Not everyone knows
which shiny button to
click.
11. WHY IT’S AWESOME
• Terraform is a platform that uses
Infrastructure as code (IaC) to allow its
users to manage cloud and local
architecture
• The community version is open sourced
with an available enterprise version
through HashiCorp.
• Reproducible environments
• Idempotence and convergence through
state
• Easing collaboration
• No need for the learning curve that
comes with different services and their
APIs
12. WHAT ITS NOT
• Cloud Formation – modularization and can handle writing true logic.
• Vagrant - Terraform can help create Vagrant resources.
• Puppet, Chef, Ansible – not cloud native
17. RESOURCES
• The main reason we use terraform.
• All other tooling within Terraform is
built around the ability to manage
these resources.
18. PROVIDERS
• Responsible for writing
and understanding the
API interactions.
• Commonly written in GO
• Could be compared to as
a wrapper.
• AWS provider attempts to
be an exhaustive wrapper
around the API.
19. Modules
• Reusable configurations that can be
used throughout terraform.
• A module can consist of multiple,
related resources.
Variables
• Inputs given to a module to be able
to make the resource parameters
more dynamic
• Declared in HCL specific way
• Strongly typed
21. You want to start experimenting with terraform, but with something smaller and
with less expensive resources. You go and look for one of Terraforms many:
A. Providers
B. Resources
C. Services
D. Employees
23. You pitch this new idea to your boss of using Terraform. She asks you to
name two of the major benefits of using Terraform. Which of the following are
two benefits of Terraform?
A. Configurations are written in YAML/YML and everyone loves yml.
B. It allows versioning of resources through the use of state.
C. It provides documentation for all services and their APIs
D. One singular language can be used to configure resources from multiple
different providers
24. B AND D
TERRAFORM USES A STRONGLY TYPED LANGUAGE PAIRED
WITH A CATALOG OF DIFFERENT PROVIDERS TO HANDLE
THEIR CONFIGURATION AND VERSIONS THEIR STATE
OVER TIME THROUGH STATE.
25. She then replies, “That sounds great, but how much does it cost.” What is your
best answer to this question?
A. “Terraform community version is well-supported, documented and free. You
only pay for the underlying resources you create with it.”
B. “It’s the holiday season, is cost really a concern?”
C. “Wicked expensive”
26. A
TERRAFORMS COMMUNITY VERSION IS FREE, IS WELL
DOCUMENTED AND CARRIES NO COST. YOU ONLY
PAY FOR THE RESOURCES YOU CREATE AS YOU USE
IT.
28. 1. Code A VPC
2. Make that VPC
3. Make the subnets within that VPC.
4. Talk about state and then making it remote.
5. Hashi Corp Language.
6. More TF Concepts
7. Using loops for maximum Power
8. Using Terraform in Continuous Integration
9. The Beyond
29. STARTERS
• Every Terraform project
should begin with a
provider.
• Each provider has its own
set of resources that it is
capable of creating and
managing.
30. TERRAFORM INIT
WILL PULL DOWN THE PROVIDERS CONFIGURATION
SO WE CAN USE IT TO CREATE THE RESOURCES.
31. TERRAFORM PLAN
WILL SHOW THE USER WHAT TERRAFORM PLANS TO DO WITH
THE NEW CONFIGURATIONS COMPARED TO WHAT IT ALREADY
KNOWS.
35. STATE
• State is where terraform really shines.
• It can be viewed in the new terraform.tfstate file that was just created.
• As you continue to add more resources and modify resources, Terraform will create new
versions of the state file and modify the objects
37. TERRAFORM
BACKENDS
• Allows Terraform to send
the state file to another
location such that other
developers (or a CI
pipeline) can iterate on it.
• Hashi Corp provides a
service called Consul, but
also supports s3 for a
backend service.
40. Data
• As seen in other languages, but
defined in a slightly unique manner.
• Can be used to create dynamic
values throughout.
Locals
• Creates a reference block for resources
to be able to access.
• A resource not quite in terraform or in
another location? Create a data block
to be able to access those needed
values.
• Common for providers to create
provider specific references to this.
41. OUTPUT• Allows for users to find values from
within the command line without
needing to access the state file
• Outputs should be used on variables
you might want to access after the
apply and be used
42. TERRAFORM
FUNCTIONS
• Terraform comes with a multitude
of different kinds of functions to
modify the data that we use to
create resources.
• These can also be used to create
”loops” without having to write as
much code.
47. THAT’S COOL AND ALL,
BUT…
THE INEVITABLE QUESTION THAT COMES WHEN WE MAKE
BIG DECISIONS IN ARCHITECTURE HAVE NOT CHANGED.
49. TERRAFOR
M IMPORT
Currently a feature that TF allows
that still requires a bit more
overhead, but works like a charm.
Import allows each provider to be
able to import a resource to state
file.
As of this writing, Terraform does
not automatically write a tf file, it
does however update the state.
51. TOPICS FOR
CONVERSATIO
N
Implement Terraform within multiple accounts, created from
Terraform. Block master branch to this repo. All Pull requests
generate a TFPlan file. Upon PR approval, merge to master and
make the changes.
Developers need exact stacks, add an object to the collection, TF
apply. Done.
Pushback from the organization to make sure all resources are
tagged, a certain ami, different version over multiple VMS in
multiple accounts. Change it in terraform.