This document provides an agenda and notes for a 3-day AWS, Terraform, and advanced techniques training. Day 1 covers AWS networking, scaling techniques, automation with Terraform and covers setting up EC2 instances, autoscaling groups, and load balancers. Day 2 continues EC2 autoscaling, introduces Docker, ECS, monitoring, and continuous integration/delivery. Topics include IAM, VPC networking, NAT gateways, EC2, autoscaling policies, ECS clusters, Docker antipatterns, monitoring servers/applications/logs, and Terraform code structure. Day 3 will cover Docker, ECS, configuration management, Vault, databases, Lambda, and other advanced AWS and DevOps topics.
What Is Kubernetes | Kubernetes Introduction | Kubernetes Tutorial For Beginn...Edureka!
***** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification *****
This Edureka tutorial on "What is Kubernetes" will give you an introduction to one of the most popular Devops tool in the market - Kubernetes, and its importance in today's IT processes. This tutorial is ideal for beginners who want to get started with Kubernetes & DevOps. The following topics are covered in this training session:
1. Need for Kubernetes
2. What is Kubernetes and What it's not
3. How does Kubernetes work?
4. Use-Case: Kubernetes @ Pokemon Go
5. Hands-on: Deployment with Kubernetes
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Docker Tutorial For Beginners | What Is Docker And How It Works? | Docker Tut...Simplilearn
This presentation about Docker tutorial will help you understand what is Docker, advantages of Docker, how does Docker work, components of Docker, virtual machine vs Docker, advanced concepts in Docker, basic Docker commands along with a demo. A Docker is an OS-level virtualization software that enables developers and IT administrators to create, deploy and run applications in a Docker container with all their dependencies. It is said to be a very light-weight software container and containerization platform. Docker engine or Docker is a client-server application that builds and executes using Docker components. Rapid deployment, portability, better efficiency, faster configuration, scalability, security are some of the advantages you get by using Docker.
Below topics are explained in this Docker presentation:
1. Virtual machine vs Docker
2. What is Docker?
3. Advantages of Docker
4. How does Docker work?
5. Components of Docker
6. Advanced concepts in Docker
7. Basic Docker commands
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
This DevOps training course will be of benefit the following professional roles:
1. Software Developers
2. Technical Project Managers
3. Architects
4. Operations Support
5. Deployment engineers
6. IT managers
7. Development managers
You can learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
Author: Oleg Chunikhin, www.eastbanctech.com
Kubernetes is a portable open source system for managing and orchestrating containerized cluster applications. Kubernetes solves a number of DevOps related problems out of the box in a simple and unified way – rolling updates and update rollback, canary deployment and other complicated deployment scenarios, scaling, load balancing, service discovery, logging, monitoring, persistent storage management, and much more. You will learn how in less than 30 minutes a reliable self-healing production-ready Kubernetes cluster may be deployed on AWS and used to host and operate multiple environments and applications.
These are the slides for a talk/workshop delivered to the Cloud Native Wales user group (@CloudNativeWal) on 2019-01-10.
In these slides, we go over some principles of gitops and a hands on session to apply these to manage a microservice.
You can find out more about GitOps online https://www.weave.works/technologies/gitops/
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
What Is Kubernetes | Kubernetes Introduction | Kubernetes Tutorial For Beginn...Edureka!
***** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification *****
This Edureka tutorial on "What is Kubernetes" will give you an introduction to one of the most popular Devops tool in the market - Kubernetes, and its importance in today's IT processes. This tutorial is ideal for beginners who want to get started with Kubernetes & DevOps. The following topics are covered in this training session:
1. Need for Kubernetes
2. What is Kubernetes and What it's not
3. How does Kubernetes work?
4. Use-Case: Kubernetes @ Pokemon Go
5. Hands-on: Deployment with Kubernetes
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Docker Tutorial For Beginners | What Is Docker And How It Works? | Docker Tut...Simplilearn
This presentation about Docker tutorial will help you understand what is Docker, advantages of Docker, how does Docker work, components of Docker, virtual machine vs Docker, advanced concepts in Docker, basic Docker commands along with a demo. A Docker is an OS-level virtualization software that enables developers and IT administrators to create, deploy and run applications in a Docker container with all their dependencies. It is said to be a very light-weight software container and containerization platform. Docker engine or Docker is a client-server application that builds and executes using Docker components. Rapid deployment, portability, better efficiency, faster configuration, scalability, security are some of the advantages you get by using Docker.
Below topics are explained in this Docker presentation:
1. Virtual machine vs Docker
2. What is Docker?
3. Advantages of Docker
4. How does Docker work?
5. Components of Docker
6. Advanced concepts in Docker
7. Basic Docker commands
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
This DevOps training course will be of benefit the following professional roles:
1. Software Developers
2. Technical Project Managers
3. Architects
4. Operations Support
5. Deployment engineers
6. IT managers
7. Development managers
You can learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
Author: Oleg Chunikhin, www.eastbanctech.com
Kubernetes is a portable open source system for managing and orchestrating containerized cluster applications. Kubernetes solves a number of DevOps related problems out of the box in a simple and unified way – rolling updates and update rollback, canary deployment and other complicated deployment scenarios, scaling, load balancing, service discovery, logging, monitoring, persistent storage management, and much more. You will learn how in less than 30 minutes a reliable self-healing production-ready Kubernetes cluster may be deployed on AWS and used to host and operate multiple environments and applications.
These are the slides for a talk/workshop delivered to the Cloud Native Wales user group (@CloudNativeWal) on 2019-01-10.
In these slides, we go over some principles of gitops and a hands on session to apply these to manage a microservice.
You can find out more about GitOps online https://www.weave.works/technologies/gitops/
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Azure Blueprints helps you deploy and update cloud environments in a repeatable manner using composable artifacts such as Azure Resource Manager templates to provision resources, role-based access controls, and policies.
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
Get these visually appealing Kubernetes Concepts And Architecture PowerPoint Presentation Slides to discuss the process of operating containerized applications. You can display the need for containers by the company with the help of an open-source architecture PPT slideshow. The architecture of containers can be demonstrated with the help of a visually appealing PPT slideshow. The reasons for opting for Kubernetes by an organization can be explained to your teammates with the help of containers PowerPoint infographics. Highlight the roadmap for installing Kubernetes in the organization by using content-ready PPT slides. Take the assistance of visually appealing PPT templates to depict the major advantages of Kubernetes such as improving productivity, the stability of application run, and many more. After that, display 30 60 90 days plan to implement Kubernetes in the organization. Display the key components of Kubernetes with the help of a diagram using this professionally designed cluster architecture PPT layouts. Describe the functionality of each components of Kubernetes. Hence, download Kubernetes architecture PPT slides to easily and efficiently manage the clusters. https://bit.ly/34DWa7x
History and Basics of containers, LXC, Docker and Kubernetes. This presentation is given to Engineering colleage students at VIT DevFest 2018. Beginner to Intermediate level.
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
What Is A Docker Container? | Docker Container Tutorial For Beginners| Docker...Simplilearn
This presentation on Docker Container will help you understand what is Docker, the architecture of Docker, what is a Docker Container, how to create a Docker Container, benefits of Docker Container, basic commands of Containers and you will also see a demo on creating Docker Container. Docker is a very lightweight software container and containerization platform. Docker containers provide a way to run software in isolation. It is an open source platform that helps to package an application and its dependencies into a Docker container for the development and deployment of software and a Docker COntainer is a portable executable package which includes applications and their dependencies. With Docker Containers, applications can work efficiently in different computer environments.
Below DevOps tools are explained in this Docker Container presentation:
1. What is Docker?
2. The architecture of Docker?
3. What is a Docker Container?
4. How to create a Docker Container?
5. Benefits of Docker Containers
6. Basic commands of Containers
Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
Container Orchestration with Docker Swarm and KubernetesWill Hall
This presentation covers the basics of what container orchestration is providing pros and cons of Docker Swarm, Kubernetes and Amazon ECS and outlining the terms and tools you will need to successfully use them.
Continues Integration and Continuous Delivery with Azure DevOps - Deploy Anyt...Janusz Nowak
Continues Integration and Continuous Delivery with Azure DevOps - Deploy Anything to Anywhere with Azure DevOps
Janusz Nowak
@jnowwwak
https://www.linkedin.com/in/janono
https://github.com/janusznowak
https://blog.janono.pl
How to test infrastructure code: automated testing for Terraform, Kubernetes,...Yevgeniy Brikman
This talk is a step-by-step, live-coding class on how to write automated tests for infrastructure code, including the code you write for use with tools such as Terraform, Kubernetes, Docker, and Packer. Topics covered include unit tests, integration tests, end-to-end tests, test parallelism, retries, error handling, static analysis, and more.
Backend Development with AWS & Flask
Daniel Laufer on November 24, 2021
Learn about backend development through using Flask, a Python web framework, and Amazon Web Services (AWS), the leading cloud service provider in the world!
Azure Blueprints helps you deploy and update cloud environments in a repeatable manner using composable artifacts such as Azure Resource Manager templates to provision resources, role-based access controls, and policies.
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
Get these visually appealing Kubernetes Concepts And Architecture PowerPoint Presentation Slides to discuss the process of operating containerized applications. You can display the need for containers by the company with the help of an open-source architecture PPT slideshow. The architecture of containers can be demonstrated with the help of a visually appealing PPT slideshow. The reasons for opting for Kubernetes by an organization can be explained to your teammates with the help of containers PowerPoint infographics. Highlight the roadmap for installing Kubernetes in the organization by using content-ready PPT slides. Take the assistance of visually appealing PPT templates to depict the major advantages of Kubernetes such as improving productivity, the stability of application run, and many more. After that, display 30 60 90 days plan to implement Kubernetes in the organization. Display the key components of Kubernetes with the help of a diagram using this professionally designed cluster architecture PPT layouts. Describe the functionality of each components of Kubernetes. Hence, download Kubernetes architecture PPT slides to easily and efficiently manage the clusters. https://bit.ly/34DWa7x
History and Basics of containers, LXC, Docker and Kubernetes. This presentation is given to Engineering colleage students at VIT DevFest 2018. Beginner to Intermediate level.
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
What Is A Docker Container? | Docker Container Tutorial For Beginners| Docker...Simplilearn
This presentation on Docker Container will help you understand what is Docker, the architecture of Docker, what is a Docker Container, how to create a Docker Container, benefits of Docker Container, basic commands of Containers and you will also see a demo on creating Docker Container. Docker is a very lightweight software container and containerization platform. Docker containers provide a way to run software in isolation. It is an open source platform that helps to package an application and its dependencies into a Docker container for the development and deployment of software and a Docker COntainer is a portable executable package which includes applications and their dependencies. With Docker Containers, applications can work efficiently in different computer environments.
Below DevOps tools are explained in this Docker Container presentation:
1. What is Docker?
2. The architecture of Docker?
3. What is a Docker Container?
4. How to create a Docker Container?
5. Benefits of Docker Containers
6. Basic commands of Containers
Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
Container Orchestration with Docker Swarm and KubernetesWill Hall
This presentation covers the basics of what container orchestration is providing pros and cons of Docker Swarm, Kubernetes and Amazon ECS and outlining the terms and tools you will need to successfully use them.
Continues Integration and Continuous Delivery with Azure DevOps - Deploy Anyt...Janusz Nowak
Continues Integration and Continuous Delivery with Azure DevOps - Deploy Anything to Anywhere with Azure DevOps
Janusz Nowak
@jnowwwak
https://www.linkedin.com/in/janono
https://github.com/janusznowak
https://blog.janono.pl
How to test infrastructure code: automated testing for Terraform, Kubernetes,...Yevgeniy Brikman
This talk is a step-by-step, live-coding class on how to write automated tests for infrastructure code, including the code you write for use with tools such as Terraform, Kubernetes, Docker, and Packer. Topics covered include unit tests, integration tests, end-to-end tests, test parallelism, retries, error handling, static analysis, and more.
Backend Development with AWS & Flask
Daniel Laufer on November 24, 2021
Learn about backend development through using Flask, a Python web framework, and Amazon Web Services (AWS), the leading cloud service provider in the world!
Abstract: At DataRobot we deal with automation challenges every day. This talk will give insight into how we use Python tools built around Ansible, Terraform, and Docker to solve real-world problems in infrastructure and automation.
4 years ago, mid 2013, we have identified a gap in the cloud echo-system. The landscape of IaaS, PaaS and SaaS provides solutions for VMs, Container and Networking, platforms of different types for backend developers, Backends for mobile developers and ready made software for individuals and enterprises. What is missing in the middle is the platform for web-sites and web-apps.
4 years down the line, with the emergence of Serverless, there are still no players in this gap. We will talk about what makes a platform for web-sites and web-apps. Things frontend optimized javascript, SEO, visual builder, web methods & backend javascript as well as request time container boot.
We have built Wix Code over the last 4 years targeting this exact gap – a serverless platform for website and web applications, and so …
Wix is taking the risk of predicting the future of serverless computing and where it should be 4 years from now.
Beyond Wordcount with spark datasets (and scalaing) - Nide PDX Jan 2018Holden Karau
Apache Spark is one of the most popular big data systems, but once the shiny finish starts to wear off you can find yourself wondering if you've accidentally deployed a Ford Pinto into production. This talk will look at the challenges that come with scaling Spark jobs. Also, the talk will explore Spark's new(ish) Dataset/DataFrame API, as well as how it’s evolving in Spark 2.3 with improved Python support.
If you're already a Spark user, come to find out why it’s not all your fault. If you aren't already a Spark user, come to find out how to save yourself from some of the pitfalls once you move beyond the example code.
Check out Holden's newest book, High Performance Spark, for more information!
From https://niketechtalksjan2018.splashthat.com/
The Future is Now: Leveraging the Cloud with RubyRobert Dempsey
My presentation from the Ruby Hoedown on cloud computing and how Ruby developers can take advantage of cloud services to build scalable web applications.
AWS에서는 Big Data 분석 및 처리를 위해 다양한 Analytics 서비스를 지원합니다. 이 세션에서는 시간이 지날수록 증가하는 데이터 분석 및 처리를 위해 데이터 레이크 카탈로그를 구축하거나 ETL을 위해 사용되는 AWS Glue 내부 구조를 살펴보고 효율적으로 사용할 수 있는 방법들을 소개합니다.
ContainerCon - Test Driven InfrastructureYury Tsarev
Great external coverage of this presentation can be found at https://www.cedric-meury.ch/2016/10/test-driven-infrastructure-with-puppet-docker-test-kitchen-and-serverspec-yury-tsarev-gooddata/
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.
Similar to AWS DevOps - Terraform, Docker, HashiCorp Vault (20)
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
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.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
5. Who am
I?
Who are we all? Who are you?
What do we do here? What’s my
purpose? Is there something more
than this? Why we all are here?
Why 42?
Grzegorz Adamowicz
Occupation: Consultant, Freelance Cloud Engineer
Skillset: - Crazy Linux geek
- Development (PHP, Python, JavaScript, …)
- DevOps Engineer
- Automation Engineer (AWS), Terraform
- Freelancer, Entrepreneur wannabe
- Events organizer (https://szot.tech)
- Job interview failure expert (200+ interviews)
- Writer (IT Professional)
- Barista (no coffee, no workee)
- Coach (sort-of)
- Lifetime learner
URL: https://adamowicz.cx
email: grzegorz@adamowicz.cx
Twitter: @gadamowicz
6. How about
you?
● What’s your name?
● What do you want to get out of this training?
● What’s your superpower? :-)
17. EC2 - scaling applications using VMs
● EC2 LaunchConfiguration
● EC2 LaunchTemplate
● Single EC2 instance
● Autoscaling Group
● Load Balancers (ELB, ALB)
● Target Group
18. ElasticBeanstalk
● PaaS solution
● Pre-configured environments
● Docker possible
● docker-compose not, but there’s an
alternative
● CloudFormation in the backend
19. ECS, also EKS (Kubernetes!)
● Cluster managing containers for you
● vCPU and memory reservation
● More complex scaling (dockers + EC2
instances)
● Generates higher costs if used incorrectly
● Restarts services for you
● Also kills, if service is trying to use to much
resources
● You still need to manage your EC2
instances inside the cluster (system
updates, agent updates)
20. ECS Fargate
● You don’t manage EC2 instances
● Can’t mount persistent data volume
● … well, you can, but it’ll be ephemeral
volume (nonpersistent)
See:
https://docs.aws.amazon.com/AmazonEC
S/latest/developerguide/fargate-task-stora
ge.html
21. Docker
● Single process
● No logs inside container
● No IP address for container
● Small images
● Use Dockerfile or Packer
● NO security credentials in container
● … but put your code in there
● Don’t use “latest” tag
● Don’t run as root user
● Stateless services - no dependencies
across containers
FROM ubuntu:18.04
RUN apt-get update &&
apt-get -y upgrade &&
DEBIAN_FRONTEND=noninteractive apt-get -y install
apache2 php7.2 php7.2-mysql
libapache2-mod-php7.2 curl lynx
EXPOSE 80
ENTRYPOINT ["/bin/sh"]
CMD ["/usr/sbin/apache2ctl", "-D", "FOREGROUND"]
22. Route53 - DNS
● ALIAS != CNAME
● strtolower()
● Can act as a load balancer
● Implements health checks
● Zone can be removed after deleting all
records
● Public
● Private (non-routable, second address in
available pool)
23. S3 - object storage
● Eventually consistent
● Easy to use
● Can be attached to VPC
● Can be encrypted (KMS)
● Versioning available
● Replication
● Can serve static pages (Vue, React,
Angular)
24. AWS limits
● Every service have set some limits (eg.
number of EC2 instances) - very important
to think ahead demand - show
● Limits for LB naming, services naming (eg.
Lambdas name) - different for every
service (!) - 74, 128, 512 characters
● API rate limiting
● Hard to predict cost of running services
25. Before we go to Terraform - CloudFormation
● Many services using it in the backend
● There is no state file
● Automatic rollbacks (should anything fail)
● Sometimes rollback fail
● There can be multiple stacks that depend
on each other
● It’s YAML or JSON, basically
● Hard to read (example)
● One can use DSL to simplify things:
○ Lono
○ Troposphere (Python)
○ SparkleFormation
A big no-no:
“When building CloudFormation templates, I’ve
seen engineers search the internet, find an
example CloudFormation template that is closed
to what they are looking for, modify it ever so
slightly so it works for their business use case,
and then run with it.”
Source:
https://medium.com/boltops/why-generate-cloudformation-templates
-with-lono-65b8ea5eb87d
27. Terraform - how it works
● Have a state file
● Different “providers” (like AWS, GCP)
● NOT multicloud - you still need different
code for each provider
● It has own markup language (HCL)
● You define resources and dependencies
between them
● Can group resources into “modules”
● Have “workspaces” to switch between
environments
● No rollback - it stops should anything fail
● Some “dry-run” - plan
provider "aws" {
region = "eu-central-1"
}
28. Terraform - state file
● local file
● file in S3 bucket
● Atlas / Terraform Enterprise
● etcd
● Consul
● Artifactory
● http
● ...
Need to take care of:
● state versioning
● state locking
terraform {
backend "local" {
path = "state/terraform.tfstate"
}
}
30. Terraform - VPC and basic subnets
● Multi AZ
● Public and private subnets
● NAT gateway
● Internet gateway
● Endpoints
● Route tables
● Network ACLs
https://randops.org/2016/11/29/quick-vpc-reference-configuration-for-scenario-2/
31. Terraform - NAT gateways, internet gateways
● Internet gateway connected to a VPC
● NAT gateways in a public network
● Route tables must contain IGW and NAT
GW
32. Terraform - basic EC2 instance
● Single EC2 instance in a public subnet
● t2.micro
● SSH open
● Must create SSH key in AWS
resource "aws_instance" "ssh_host" {
ami = "ami-0bdf93799014acdc4"
instance_type = "t2.micro"
key_name = "${aws_key_pair.admin.key_name}"
subnet_id = "${aws_subnet.public.id}"
vpc_security_group_ids = [
"${aws_security_group.allow_ssh.id}",
"${aws_security_group.allow_all_outbound.id}",
]
tags {
Name = "SSH bastion"
}
}
33. Terraform - EC2 (auto)scaling
● Launch configuration
● Autoscaling group
● Load balancer (ELB)
● EC2 in a private subnet
● LB in a public subnet (public)
● CloudWatch setup:
○ EC2 instance role
○ CloudWatch metrics sent from EC2 using
cron job
● Alerts (high/low)
● Scale strategy
34. VPC and subnets
resource "aws_vpc" "main" {
cidr_block = "10.100.0.0/16"
tags {
Name = "Terraform main VPC"
}
}
resource "aws_subnet" "public_a" {
vpc_id =
"${aws_vpc.main.id}"
cidr_block = "10.100.1.0/24"
map_public_ip_on_launch = "true"
availability_zone = "eu-central-1a"
tags {
Name = "Terraform main VPC, public
subnet zone A"
}
}
43. Setting up a basic server in autoscaling group
For a service we need:
● Launch Configuration / Launch Template
● Autoscaling group
● Autoscaling policy
Autoscaling:
● Remember metrics must be sent by the EC2 instance to CloudWatch
● There are alerts for “high” (scaling up) and “low” (scaling down)
44. Side quest: Let’s develop a service
● Python 3.x
● Have /health URI
● Automatically deployed!
● Need an S3 bucket for deployment
● Launch configuration should deploy
“latest” build
● Remember IAM role to allow EC2 access
the S3 bucket
● You need AWSCLI on EC2 instance
● ELB in public subnet(s)
● EC2 in private subnet(s)
Autoscaling:
● Remember metrics must be sent by the
EC2 instance to CloudWatch
● There are alerts for “high” (scaling up) and
“low” (scaling down)
49. EC2 autoscaling - continue!
● Launch configuration
● Autoscaling group
● Load balancer (ELB)
● EC2 in a private subnet
● LB in a public subnet (public)
● CloudWatch setup:
○ EC2 instance role
○ CloudWatch metrics sent from EC2 using
cron job
● Alerts (high/low)
● Scale strategy
50. Docker
● Single process
● No logs inside container
● No IP address for container
● Small images
● Use Dockerfile or Packer
● NO security credentials in container
● … but put your code in there
● Don’t use “latest” tag
● Don’t run as root user
● Stateless services - no dependencies
across containers
51. ECS
● Cluster managing containers for you
● vCPU and memory reservation
● More complex scaling (dockers + EC2
instances)
● Generates higher costs if used incorrectly
● Restarts services for you
● Also kills, if service is trying to use too
much resources
● You still need to manage your EC2
instances inside the cluster (system
updates, agent updates)
53. CI/CD
Continuous Integration
“practice of merging all developer working
copies to a shared mainline several times a day”
- Wikipedia
Continuous Delivery
“making sure the software checked in on the
mainline is always in a state that can be
deployed to users and makes the actual
deployment process very rapid” - Wikipedia
Continuous Deployment
“software engineering approach in which
software functionalities are delivered frequently
through automated deployments” - also
Wikipedia
56. Jenkins - Jenkinsfile example
node("master") {
stage("Prep") {
deleteDir() // Clean up the workspace
checkout scm
withCredentials([file(credentialsId: 'tfvars', variable: 'tfvars')]) {
sh "cp $tfvars terraform.tfvars"
}
sh "terraform init --get=true"
}
stage("Plan") {
sh "terraform plan -out=plan.out -no-color"
}
if (env.BRANCH_NAME == "master") {
stage("Apply") {
input 'Do you want to apply this plan?'
sh "terraform apply -no-color plan.out"
}
}
}
57. ECS + 1-2 services
● Let’s use a module to set up cluster with
autoscaling
● Reuse module for task definition
● Reuse code of Python app we created
● ELB and ALB - differences and why using
ALB?
● Where to keep your images? (Docker
HUB, ECR)
58. Terraform modules
● There are community modules
● https://registry.terraform.io/
● https://github.com/terraform-community-modules
● Modules take inputs (variables) and generate outputs
that could be used in other code
59. More on modules
ECS cluster
module "ecs-cluster" {
source = "azavea/ecs-cluster/aws"
version = "2.0.0"
vpc_id = "${aws_vpc.main.id}"
instance_type = "t2.small"
key_name = "blah"
root_block_device_type = "gp2"
root_block_device_size = "10"
health_check_grace_period = "600"
desired_capacity = "1"
min_size = "0"
max_size = "2"
enabled_metrics = [...]
private_subnet_ids = [...]
project = "Something"
environment = "Staging"
lookup_latest_ami = "true"
}
● It’s worth to invest time to prepare
modules tailored to your needs, but there
are great ones ready to use
● It’s going to take time to understand how
module works
● … but it’ll be shorter than creating your
own
● Not everything should be a module (do
NOT securityGroupModuleFactory)
● Group important things together
60. ECS cluster
● IAM Role for EC2 instances
● Use ECS-optimized instances (Amazon
Linux)
● IAM Role for Services
● VPC and networking
● ECR for keeping home-baked images
(optional)
● Aggregated metrics for “group”
● CloudWatch log group for logs (optional)
65. Setting up Nginx inside ECS cluster
● Reuse modules from Terraform registry
● Test every change with plan
● One instance will be sufficient
● Don’t bother with autoscaling, let’s keep it
simple for now
● You can use ready Docker image from
Docker Hub
66. Side quest: Let’s develop a service
● Python 3.x
● Have /health URI
● Automatically deployed!
● Need an S3 bucket for deployment
● Launch configuration should deploy
“latest” build
● Remember IAM role to allow EC2 access
the S3 bucket
● You need AWSCLI on EC2 instance
● ALB in public subnet(s)
● EC2 in private subnet(s)
● ECR keeping Docker image
● Process to build and send image to ECR
Autoscaling:
● Let’s leave services autoscaling for now
74. AWS OpsWorks
● Chef solo (localhost) or Puppet Enterprise
● CloudFormation in the backend
● Can be provisioned via Terraform (yay!)
● Autoscaling using Lambda Hacks
● AWS console - let’s see how this looks
75. HashiCorp Vault
● Key-value secret storage
● Encrypt secrets at rest (storage) and at transfer (https)
● Takes care of invalidating old secrets (API keys rotation)
● Versioning of the key-value storage is also possible
● One-time secrets
● “Cubbyhole” secrets wrapping
● Possible to integrate with Terraform (yay!)
● … and more
78. HashiCorp Vault - testing locally
$ vault server -dev
$ export VAULT_ADDR='http://127.0.0.1:8200'
$ vault status
● Already unsealed
● In-memory data store
● Good for testing
● Do NOT use in production
79. HashiCorp Consul - service discovery and more
Source:https://www.consul.io/docs/internals/architecture.html
80. HashiCorp Vault and Consul as a backend
Source:https://www.consul.io/docs/internals/architecture.html
81. HashiCorp Vault + Consul - setting up Consul
{
"acl_datacenter": "dev1",
"server": true,
"datacenter": "dev1",
"data_dir": "/var/lib/consul",
"disable_anonymous_signature": true,
"disable_remote_exec": true,
"encrypt": "Owpx3FUSQPGswEAeIhcrFQ==",
"log_level": "DEBUG",
"enable_syslog": true,
"start_join": ["192.168.33.10",
"192.168.33.20", "192.168.33.30"],
"services": []
}
# consul agent -server
-bootstrap-expect=1 -data-dir
/var/lib/consul/data
-bind=192.168.33.10
-enable-script-checks=true
-config-dir=/etc/consul/bootstrap
CTRL+C when done
# servicectl start consul
88. HashiCorp Vault - login using token
[vagrant@vault-01 ~]$ vault login s.hAnm1Oj9YYoDtxkqQVkLyxr7
Success! You are now authenticated. The token information displayed below is already stored
in the token helper. You do NOT need to run "vault login" again. Future Vault requests will
automatically use this token.
Key Value
--- -----
token s.hAnm1Oj9YYoDtxkqQVkLyxr7
token_accessor 6bPASelFhdZ2ClSzwfq31Ucr
token_duration ∞
token_renewable false
token_policies ["root"]
identity_policies []
policies ["root"]
89. HashiCorp Vault - token revoke
[vagrant@vault-01 ~]$ vault token revoke s.6WYXXVRPNmEKfaXfnyAjcMsR
Success! Revoked token (if it existed)
See more on auth: https://learn.hashicorp.com/vault/getting-started/authentication
91. HashiCorp Vault - multi-tenant - exercises
● Let’s create two namespaces
● Create policies for the namespaces
● Create a few secrets in each
● Create one user in each
● Test if users have access to their own
namespaces
93. AWS Lambda and Serverless
http://www.slideshare.net/danveloper/microservices-the-right-way
94. AWS Lambda and Serverless
https://www.fiverr.com/natasha_bab/setup-cloud-based-backend-for-mobile-n-web
● Actually it’s more mixed and also complex
● Layered architecture (think MVC) +
Event-driven (ESB, but not that heavy)
● In a Docker
● … or as lambdas
96. AWS Lambda and Serverless
● There’s no “server less”
● Using VPC slows things down
● Utilize SaaS provided by the AWS (SQS, SNS, DynamoDB, CloudWatch,
X-Ray)
● Mind Lambda limitations (memory, cpu, execution time)
● Big packages tend to run slower, keep it simple
● Workflows or long running with step functions
97. Let’s create a function
● Python
● IAM role allowing interacting with Autoscaling
● Function will increase instances by one
● Manual trigger
● Setup using Terraform
● Code upload using AWSCLI (Bash/Makefile)
98. Side quest: Vault + Consul in AWS
● Use Terraform and an Autoscaling Group/Launch Configuration to set up
Consul hosts - manual cluster set up, for simplicity
● Alternatively, use ECS cluster and public Conul image
https://hub.docker.com/_/consul/
● Same for Vault
● (Re)use Python service to grab configuration key/values from Vault
99. Thanks a bunch!
Grzegorz Adamowicz
LinkedIN: /in/gadamowicz
Twitter: @gadamowicz
grzegorz@adamowicz.cx
https://szot.tech