Continuous Integration and Deployment (CI/CD) with AWS Code Services.
I Presented in Pune Cloud Engineers and Cloud Architect's Meetup.
https://www.meetup.com/Pune-Cloud-Engineers-and-Architects-AWS/events/247170863/
This document summarizes the key features and benefits of Ansible, an agentless automation tool. It notes that Ansible is simple to use with a human-readable YAML language that does not require coding skills. It is powerful yet efficient for deployment, orchestration, and provisioning. It has basic features like modules for managing files, templates, packages, and retrieving file states. Ansible also has wide OS support, integrates with major clouds, works with other configuration tools, and has an easy learning curve and extensible plugin architecture. It helps lower maintenance costs and allows more reliable, faster deployments with automated recovery and failover.
This document discusses Terraform, an open-source infrastructure as code tool. It begins by explaining how infrastructure can be defined and managed as code through services that have APIs. It then provides an overview of Terraform, including its core concepts of providers, resources, and data sources. The document demonstrates Terraform's declarative configuration syntax and process of planning and applying changes. It also covers features like modules, state management, data sources, and developing custom plugins.
The document provides an introduction to Red Hat OpenShift, including:
- An overview of the differences between virtual machines and container technologies like Docker.
- The evolution of container technologies and standards like Kubernetes, CRI, and CNI.
- Why Kubernetes is used for container orchestration and why Red Hat OpenShift is a popular Kubernetes distribution.
- Key features of Red Hat OpenShift like source-to-image builds, integrated monitoring, security, and log aggregation with EFK.
An overview and introduction to Hashicorp's Terraform for the Chattanooga ChaDev Lunch.
https://www.youtube.com/watch?v=p2ESyuqPw1A
Getting Started with Google's Infrastructure is summarized as follows:
1. Google Cloud Platform provides infrastructure services including virtual machines, networking, and storage hosted on Google's global network of data centers.
2. Google Compute Engine is an infrastructure as a service offering that allows users to launch and manage virtual machine instances.
3. The document provides an overview of Google Compute Engine including machine types, regions, persistent disks, load balancing, and pricing models.
As part of this presentation we covered basics of Terraform which is Infrastructure as code. It will helps to Devops teams to start with Terraform.
This document will be helpful for the development who wants to understand infrastructure as code concepts and if they want to understand the usability of terrform
This document discusses DevOps and the movement towards closer collaboration between development and operations teams. It advocates that operations work should start early in the development process, with developers and operations communicating about non-functional requirements, security, backups, monitoring and more. Both developers and operations staff should aim to automate infrastructure and deployments. The goal is reproducible, reliable deployments of applications and their supporting systems.
In this session, Diógenes gives an introduction of the basic concepts that make OpenShift, giving special attention to its relationship with Linux containers and Kubernetes.
Ansible is an automation tool that can provision, configure, and deploy applications. It uses human-readable YAML files called playbooks to define automation tasks. Playbooks contain modules that specify steps like installing packages, copying files, and starting services. Ansible Tower provides a GUI and API for securely managing Ansible automation at scale. Ansible supports both Linux and Windows environments through its agentless design and built-in modules.
The document provides an overview of Terraform and discusses why it was chosen over other infrastructure as code tools. It outlines an agenda covering Terraform installation, configuration, and use of data sources and resources to build example infrastructure including a VCN, internet gateway, subnets, and how to taint and destroy resources. The live demo then walks through setting up Terraform and using it to provision example OCI resources.
In this hands-on workshop, we'll explore how to deploy resources to azure using terraform. First we'll peek into the basics of terraform (HCL language, CLI, providers, provisioners, modules, plans, state files etc).
Then in our hand-on exercise, we'll author terraform scripts to deploy virtual networks, virtual machines and app services to azure. Finally we'll walk through some azure tooling & integrations for terraform (azure cloud shell, hosted images in azure devops, azure marketplace images, VSCode extensions etc).
Author: Mithun Shanbhag
Containerd Internals: Building a Core Container RuntimePhil Estes
Containerd Internals: Building a Core Container Runtime discusses the architecture and internals of Containerd. It provides a brief history of Containerd and explains its goals of providing a clean API, full OCI support, and decoupled components. It describes Containerd's components like runtimes, storage, and snapshots. It then explains the processes of pulling an image, starting a container, and getting Prometheus metrics.
Ansible is simple open source IT engine which automates application deployment,intra service orchestration,cloud provisioning and many other IT tools.we will discuss what is ansible ,its feature ,architecture,writing ansible playbook,ansible role and ansible vs chef.
This document summarizes a meetup about infrastructure as code. It discusses the differences between treating infrastructure as "pets" versus "cattle", where pets are cared for individually and cattle are treated as disposable. When infrastructure is coded declaratively using tools like Terraform, the infrastructure can be version controlled, updated continuously, and rolled back like code. The meetup demonstrated setting up infrastructure on Azure using Terraform to define resources like virtual machines in code. Advanced techniques like storing state remotely and using modules were also discussed.
The document discusses infrastructure as code (IAC) and its principles and categories. Some key points:
- IAC treats infrastructure like code by writing code to define, deploy, and update infrastructure. This allows infrastructure to be managed programmatically.
- Common categories of IAC include ad hoc scripts, configuration management tools like Ansible and Puppet, server templating tools like Packer, and server provisioning tools like Terraform.
- Benefits of IAC include automation, consistency, repeatability, versioning, validation, reuse, and allowing engineers to focus on code instead of manual tasks.
- AWS offers CloudFormation for provisioning AWS resources through templates. Other tools integrate with Cloud
The document discusses techniques for storing time series data at scale in a time series database (TSDB). It describes storing 16 bytes of data per sample by compressing timestamps and values. It proposes organizing data into blocks, chunks, and files to handle high churn rates. An index structure uses unique IDs and sorted label mappings to enable efficient queries over millions of time series and billions of samples. Benchmarks show the TSDB can handle over 100,000 samples/second while keeping memory, CPU and disk usage low.
Kubernates vs Openshift: What is the difference and comparison between Opensh...jeetendra mandal
Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications. OpenShift is a container application platform from Red Hat that is based on Kubernetes but provides additional features such as integrated CI/CD pipelines and a native networking solution. While Kubernetes provides more flexibility in deployment environments and is open source, OpenShift offers easier management, stronger security policies, and commercial support but is limited to Red Hat Linux distributions. Both are excellent for building and deploying containerized apps, with OpenShift providing more out-of-the-box functionality and Kubernetes offering more flexibility.
This document provides an introduction to Docker and discusses how it helps address challenges in the modern IT landscape. Some key points:
- Applications are increasingly being broken up into microservices and deployed across multiple servers and environments, making portability and scalability important.
- Docker containers help address these issues by allowing applications to run reliably across different infrastructures through package dependencies and resources together. This improves portability.
- Docker provides a platform for building, shipping and running applications. It helps bridge the needs of developers who want fast innovation and operations teams who need security and control.
Google Firebase on Android is a mobile platform that lets you develop high-quality maintainable apps, improve apps quality, increase user engagement, and grow your business to earn more money. In this presentation, Firebase on Android: The Big Picture, attendees will learn foundational knowledge of why and when to use Google Firebase in their Android application. They will first explore core Firebase functionalities to develop and maintain high-quality apps. Next, they will discover how they can leverage the power of Firebase to improve apps quality while in production and therefore learn how to use Firebase to grow their business. Finally, they will explore how to integrate Firebase in their Android application. At the end of my presentation, attendees will get a clear picture of why and when to use Firebase to develop, and maintain high-quality apps to flourish their business.
What all will be covered in the session?
- Explore core Firebase features available to build high-quality Android apps such as Authentication, Cloud Firestore, Realtime Database, Cloud Storage, and Cloud Functions.
- Realise the importance of Firebase features such as Crashlytics, Performance Monitoring , and Test Lab to get insights into potential bugs and fix it to improve the quality of apps.
- Explore various Firebase tools such as Google Analytics, In-App Messaging, Cloud Messaging, Remote Config, A/B Testing , and Predictions to drive user engagement, grow user base, increase user retention, and make more money.
- Integrate Firebase SDK in your Android project using Android Studio and explore the various aspects of the Firebase console.
An Azure Virtual Network (VNet) provides logical isolation within Azure to securely communicate resources. A VNet can connect to other VNets or on-premises networks. It contains components like network security groups, load balancers, and virtual appliances to filter and optimize traffic flow. Connections to a VNet can be made through point-to-site VPNs, site-to-site VPNs, or Azure ExpressRoute for private, high-bandwidth connections.
Infrastructure as Code represents treating infrastructure components like software that can be version controlled, tested, and deployed. The document discusses tools and techniques for implementing Infrastructure as Code including using version control, continuous integration/delivery, configuration automation, and virtual labs for testing changes. It provides examples of workflows using these techniques and recommends starting small and evolving Infrastructure as Code practices over time.
Infrastructure-as-Code (IaC) using TerraformAdin Ermie
Learn the benefits of Infrastructure-as-Code (IaC), what Terraform is and why people love it, along with a breakdown of the basics (including live demo deployments). Then wrap up with a comparison of Azure Resource Manager (ARM) templates versus Terraform, consider some best practices, and walk away with some key resources in your Terraform learning adventure.
This document provides an overview of Kubernetes including:
- Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications.
- Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate.
- The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services.
- Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
Comparing Next-Generation Container Image Building ToolsAkihiro Suda
http://sched.co/EaYe
Until recently, running `docker build` against Dockerfile had been the only way to build container images.
However, lots of opensource software are being proposed as successors/alternatives to `docker build`:
- BuildKit (Moby Project / Docker)
- img (Jessica Frazelle / Microsoft)
- Buildah (Project Atomic / Red Hat)
- umoci & Orca (SUSE)
- Bazel (Google)
- OpenShift S2I (Red Hat)
Akihiro Suda compares these new tools' advantages and disadvantages.
His evaluation basis would include but not be limited to:
- Performance (Cache efficiency, Concurrency, Distributed Execution)
- Secret management, e.g. SSH and AWS keys
- Support for non-Dockerfile
- Non-root execution
- UI & UX
- Governance of the community
He also proposes a unified interface for using these tools with Kubernetes in a vendor-neutral way.
This document summarizes the server configuration and Active Directory setup at a school. It describes the primary and secondary ESXi servers that run domain controllers, file servers, backup servers, and terminal servers. It explains how the domain controllers manage computers and users across different domains, including the staff1, student1, and root ocaat1 domains. It provides instructions for adding user accounts, setting up group policies, configuring the DHCP and DNS servers, and establishing file sharing permissions.
This document discusses Fibre Channel storage area networks (SANs). It covers SAN components like host bus adapters, storage arrays, switches, and cabling. Fibre Channel SAN connectivity options include point-to-point, arbitrated loop, and switched fabric. The document also examines Fibre Channel addressing, protocols, and data organization. Key topics covered include Fibre Channel protocol stack, world wide names, frame structure, and SAN management software.
Virtualization allows multiple operating systems and applications to run on the same hardware at the same time by simulating virtual hardware. There are two main types of virtualization architectures: hosted, where a hypervisor runs on a conventional operating system; and bare-metal, where the hypervisor runs directly on the hardware. Virtualization can be applied to desktops, servers, networks, storage and applications. It provides benefits such as reduced costs, simplified management, and the ability to run multiple systems on one physical machine.
The document discusses continuous integration, continuous deployment, and infrastructure as code for modern applications. It describes how AWS services like CodePipeline, CodeBuild, CodeDeploy, and CloudFormation can be used to automate the build, test, and deployment of serverless and containerized applications. Continuous integration ensures code changes are built and tested regularly. Continuous deployment enables automated deployments to staging and production. Modeling infrastructure as code allows infrastructure changes to be released predictably using the same tools as code changes.
The document discusses AWS Code services which include AWS CodeCommit for source control, AWS CodeBuild for builds, AWS CodeDeploy for deployments, and AWS CodePipeline for continuous delivery. It provides overviews of each service and how they can be used together for application deployments, infrastructure rollouts, and serverless application deployments.
Ansible is an automation tool that can provision, configure, and deploy applications. It uses human-readable YAML files called playbooks to define automation tasks. Playbooks contain modules that specify steps like installing packages, copying files, and starting services. Ansible Tower provides a GUI and API for securely managing Ansible automation at scale. Ansible supports both Linux and Windows environments through its agentless design and built-in modules.
The document provides an overview of Terraform and discusses why it was chosen over other infrastructure as code tools. It outlines an agenda covering Terraform installation, configuration, and use of data sources and resources to build example infrastructure including a VCN, internet gateway, subnets, and how to taint and destroy resources. The live demo then walks through setting up Terraform and using it to provision example OCI resources.
In this hands-on workshop, we'll explore how to deploy resources to azure using terraform. First we'll peek into the basics of terraform (HCL language, CLI, providers, provisioners, modules, plans, state files etc).
Then in our hand-on exercise, we'll author terraform scripts to deploy virtual networks, virtual machines and app services to azure. Finally we'll walk through some azure tooling & integrations for terraform (azure cloud shell, hosted images in azure devops, azure marketplace images, VSCode extensions etc).
Author: Mithun Shanbhag
Containerd Internals: Building a Core Container RuntimePhil Estes
Containerd Internals: Building a Core Container Runtime discusses the architecture and internals of Containerd. It provides a brief history of Containerd and explains its goals of providing a clean API, full OCI support, and decoupled components. It describes Containerd's components like runtimes, storage, and snapshots. It then explains the processes of pulling an image, starting a container, and getting Prometheus metrics.
Ansible is simple open source IT engine which automates application deployment,intra service orchestration,cloud provisioning and many other IT tools.we will discuss what is ansible ,its feature ,architecture,writing ansible playbook,ansible role and ansible vs chef.
This document summarizes a meetup about infrastructure as code. It discusses the differences between treating infrastructure as "pets" versus "cattle", where pets are cared for individually and cattle are treated as disposable. When infrastructure is coded declaratively using tools like Terraform, the infrastructure can be version controlled, updated continuously, and rolled back like code. The meetup demonstrated setting up infrastructure on Azure using Terraform to define resources like virtual machines in code. Advanced techniques like storing state remotely and using modules were also discussed.
The document discusses infrastructure as code (IAC) and its principles and categories. Some key points:
- IAC treats infrastructure like code by writing code to define, deploy, and update infrastructure. This allows infrastructure to be managed programmatically.
- Common categories of IAC include ad hoc scripts, configuration management tools like Ansible and Puppet, server templating tools like Packer, and server provisioning tools like Terraform.
- Benefits of IAC include automation, consistency, repeatability, versioning, validation, reuse, and allowing engineers to focus on code instead of manual tasks.
- AWS offers CloudFormation for provisioning AWS resources through templates. Other tools integrate with Cloud
The document discusses techniques for storing time series data at scale in a time series database (TSDB). It describes storing 16 bytes of data per sample by compressing timestamps and values. It proposes organizing data into blocks, chunks, and files to handle high churn rates. An index structure uses unique IDs and sorted label mappings to enable efficient queries over millions of time series and billions of samples. Benchmarks show the TSDB can handle over 100,000 samples/second while keeping memory, CPU and disk usage low.
Kubernates vs Openshift: What is the difference and comparison between Opensh...jeetendra mandal
Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications. OpenShift is a container application platform from Red Hat that is based on Kubernetes but provides additional features such as integrated CI/CD pipelines and a native networking solution. While Kubernetes provides more flexibility in deployment environments and is open source, OpenShift offers easier management, stronger security policies, and commercial support but is limited to Red Hat Linux distributions. Both are excellent for building and deploying containerized apps, with OpenShift providing more out-of-the-box functionality and Kubernetes offering more flexibility.
This document provides an introduction to Docker and discusses how it helps address challenges in the modern IT landscape. Some key points:
- Applications are increasingly being broken up into microservices and deployed across multiple servers and environments, making portability and scalability important.
- Docker containers help address these issues by allowing applications to run reliably across different infrastructures through package dependencies and resources together. This improves portability.
- Docker provides a platform for building, shipping and running applications. It helps bridge the needs of developers who want fast innovation and operations teams who need security and control.
Google Firebase on Android is a mobile platform that lets you develop high-quality maintainable apps, improve apps quality, increase user engagement, and grow your business to earn more money. In this presentation, Firebase on Android: The Big Picture, attendees will learn foundational knowledge of why and when to use Google Firebase in their Android application. They will first explore core Firebase functionalities to develop and maintain high-quality apps. Next, they will discover how they can leverage the power of Firebase to improve apps quality while in production and therefore learn how to use Firebase to grow their business. Finally, they will explore how to integrate Firebase in their Android application. At the end of my presentation, attendees will get a clear picture of why and when to use Firebase to develop, and maintain high-quality apps to flourish their business.
What all will be covered in the session?
- Explore core Firebase features available to build high-quality Android apps such as Authentication, Cloud Firestore, Realtime Database, Cloud Storage, and Cloud Functions.
- Realise the importance of Firebase features such as Crashlytics, Performance Monitoring , and Test Lab to get insights into potential bugs and fix it to improve the quality of apps.
- Explore various Firebase tools such as Google Analytics, In-App Messaging, Cloud Messaging, Remote Config, A/B Testing , and Predictions to drive user engagement, grow user base, increase user retention, and make more money.
- Integrate Firebase SDK in your Android project using Android Studio and explore the various aspects of the Firebase console.
An Azure Virtual Network (VNet) provides logical isolation within Azure to securely communicate resources. A VNet can connect to other VNets or on-premises networks. It contains components like network security groups, load balancers, and virtual appliances to filter and optimize traffic flow. Connections to a VNet can be made through point-to-site VPNs, site-to-site VPNs, or Azure ExpressRoute for private, high-bandwidth connections.
Infrastructure as Code represents treating infrastructure components like software that can be version controlled, tested, and deployed. The document discusses tools and techniques for implementing Infrastructure as Code including using version control, continuous integration/delivery, configuration automation, and virtual labs for testing changes. It provides examples of workflows using these techniques and recommends starting small and evolving Infrastructure as Code practices over time.
Infrastructure-as-Code (IaC) using TerraformAdin Ermie
Learn the benefits of Infrastructure-as-Code (IaC), what Terraform is and why people love it, along with a breakdown of the basics (including live demo deployments). Then wrap up with a comparison of Azure Resource Manager (ARM) templates versus Terraform, consider some best practices, and walk away with some key resources in your Terraform learning adventure.
This document provides an overview of Kubernetes including:
- Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications.
- Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate.
- The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services.
- Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
Comparing Next-Generation Container Image Building ToolsAkihiro Suda
http://sched.co/EaYe
Until recently, running `docker build` against Dockerfile had been the only way to build container images.
However, lots of opensource software are being proposed as successors/alternatives to `docker build`:
- BuildKit (Moby Project / Docker)
- img (Jessica Frazelle / Microsoft)
- Buildah (Project Atomic / Red Hat)
- umoci & Orca (SUSE)
- Bazel (Google)
- OpenShift S2I (Red Hat)
Akihiro Suda compares these new tools' advantages and disadvantages.
His evaluation basis would include but not be limited to:
- Performance (Cache efficiency, Concurrency, Distributed Execution)
- Secret management, e.g. SSH and AWS keys
- Support for non-Dockerfile
- Non-root execution
- UI & UX
- Governance of the community
He also proposes a unified interface for using these tools with Kubernetes in a vendor-neutral way.
This document summarizes the server configuration and Active Directory setup at a school. It describes the primary and secondary ESXi servers that run domain controllers, file servers, backup servers, and terminal servers. It explains how the domain controllers manage computers and users across different domains, including the staff1, student1, and root ocaat1 domains. It provides instructions for adding user accounts, setting up group policies, configuring the DHCP and DNS servers, and establishing file sharing permissions.
This document discusses Fibre Channel storage area networks (SANs). It covers SAN components like host bus adapters, storage arrays, switches, and cabling. Fibre Channel SAN connectivity options include point-to-point, arbitrated loop, and switched fabric. The document also examines Fibre Channel addressing, protocols, and data organization. Key topics covered include Fibre Channel protocol stack, world wide names, frame structure, and SAN management software.
Virtualization allows multiple operating systems and applications to run on the same hardware at the same time by simulating virtual hardware. There are two main types of virtualization architectures: hosted, where a hypervisor runs on a conventional operating system; and bare-metal, where the hypervisor runs directly on the hardware. Virtualization can be applied to desktops, servers, networks, storage and applications. It provides benefits such as reduced costs, simplified management, and the ability to run multiple systems on one physical machine.
The document discusses continuous integration, continuous deployment, and infrastructure as code for modern applications. It describes how AWS services like CodePipeline, CodeBuild, CodeDeploy, and CloudFormation can be used to automate the build, test, and deployment of serverless and containerized applications. Continuous integration ensures code changes are built and tested regularly. Continuous deployment enables automated deployments to staging and production. Modeling infrastructure as code allows infrastructure changes to be released predictably using the same tools as code changes.
The document discusses AWS Code services which include AWS CodeCommit for source control, AWS CodeBuild for builds, AWS CodeDeploy for deployments, and AWS CodePipeline for continuous delivery. It provides overviews of each service and how they can be used together for application deployments, infrastructure rollouts, and serverless application deployments.
DevOps Unleashed: Strategies that Speed DeploymentsForgeRock
Modern identity management platforms must be agile and secure enough to respond to demanding business timelines. As a result, many organizations are seeking cloud-based approaches to digital security and need offerings that are optimized for environments including Cloud Foundry, Azure, GCE, AWS and OpenStack. Your dev-ops strategy could be the difference between hitting or missing business-critical deadlines. In this webinar, learn how we are enhancing the ForgeRock Identity Platform to enable developers to use container-oriented technologies such as Kubernetes and Docker to accelerate deployment.
CI CD using AWS Developer Tools @ AWS Community Day Bengaluru 2018Bhuvaneswari Subramani
This session covers an overview of AWS CI CD Services, 3 use cases leveraging AWS CI CD Services, Template files used in CodeBuild, CodeDeploy and Serverless Application Deployment.
How do you debug you build or deployment failures? And how do you rollback in case of failure.
Details around Generic Pipeline and the metrics to gauge DevOps
This presentation covers the following
Overview of AWS Developer Tools like AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline. Implementation of CI CD workflow with a 3 stage CodePipeline; 1. Pull the source code from two different repositories for WebApplication & Infrastructure Code
2. Compile the code, generate artifact and upload to S3
3. Spin up the infrastructure using Cloud Formation Template followed WebApplication Deployment using the Artifact stored in S3.
Walkthrough of buildspec and appspec files, Debugging Build & Deployment, Rollback of deployment and how to gauge the metrics to DevOps.
The document discusses serverless computing and the callback server architecture used by Veracode for dynamic application security testing. It summarizes the advantages of replacing the existing callback server with EC2 and Postgres with a serverless architecture using AWS Lambda, API Gateway, and DynamoDB. While the serverless approach provided benefits like automatic scaling and lower costs, it required learning new skills and significantly more effort on devops tasks for deployment automation compared to development. Security best practices like monitoring, access control, and dependency scanning were also emphasized for serverless architectures.
Emulators as an Emerging Best Practice for API ProvidersCisco DevNet
The document discusses API emulators as an emerging best practice for API providers. It describes Stève Sfartz's background and role at Cisco developing tools for developers. It then discusses how emulators can enhance the developer experience by allowing local testing and debugging of APIs without access to production services. Specific examples of emulators created for Cisco's Tropo and Webex APIs are presented, along with lessons learned around their development and use cases. The presentation concludes by advocating for API providers to consider adding emulators to better support their developer communities.
How to deploy a production ready serverless application
Level: 300
To get the most out of the agility afforded by serverless, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features.
Serverless and distributed systems in production cannot be done any other way than with a good and efficient CI/CD pipeline.
In this talk, I demonstrate how you can use infrastructure-as-code (IaC) models to build effective CI/CD release workflows to manage serverless deployments on AWS, using tools like AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy.
Specifically, we focus on how to automate safer deployments that can be monitored and rolled back automatically.
I will do demos where I deploy Lambdas with Code* suite and show examples with complex systems.
The document discusses DevOps at ForgeRock. It outlines the pillars of DevOps including automation, communication, monitoring and collaboration. It also discusses ForgeRock's focus on making their products stateless and container friendly to support infrastructure as code. The document demonstrates using tools like Ansible and Kubernetes to deploy and manage ForgeRock identity platforms in a DevOps way.
Continuous Delivery of Containers with Drone & KontenaJussi Nummelin
Presentation shares insides of how to build continuous delivery pipeline for containers using Drone and Kontena. Presented at CDNYC meetup: https://www.meetup.com/ContinuousDeliveryNYC/events/233919244/
This paper proposes a shoulder inverse kinematics (IK) technique. Shoulder complex is comprised of the sternum, clavicle, ribs, scapula, humerus, and four joints.
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptxRishavKumar530754
LiDAR-Based System for Autonomous Cars
Autonomous Driving with LiDAR Tech
LiDAR Integration in Self-Driving Cars
Self-Driving Vehicles Using LiDAR
LiDAR Mapping for Driverless Cars
We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a standalone surrogate modeling tool. We first briefly present the key mathematical tools on the basis of GP modeling (a.k.a. Kriging), as well as the associated theoretical and computational framework. We then provide an extensive overview of the available features of the software and demonstrate its flexibility and user-friendliness. Finally, we showcase the usage and the performance of the software on several applications borrowed from different fields of engineering. These include a basic surrogate of a well-known analytical benchmark function; a hierarchical Kriging example applied to wind turbine aero-servo-elastic simulations and a more complex geotechnical example that requires a non-stationary, user-defined correlation function. The GP-module, like the rest of the scientific code that is shipped with UQLab, is open source (BSD license).
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYijscai
With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to
understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes
the answer to interpreting the decision-making process that AI malware analysis models use to determine
malicious benign samples to gain trust that in a production environment, the system is able to catch
malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI
as a new attack vector. Adversarial XAI (AdvXAI) is a relatively new concept but with AI applications in
many sectors, it is crucial to quickly respond to the attack surface that it creates. This paper seeks to
conceptualize a theoretical framework focused on addressing AdvXAI in malware analysis in an effort to
balance explainability with security. Following this framework, designing a machine with an AI malware
detection and analysis model will ensure that it can effectively analyze malware, explain how it came to its
decision, and be built securely to avoid adversarial attacks and manipulations. The framework focuses on
choosing malware datasets to train the model, choosing the AI model, choosing an XAI technique,
implementing AdvXAI defensive measures, and continually evaluating the model. This framework will
significantly contribute to automated malware detection and XAI efforts allowing for secure systems that
are resilient to adversarial attacks.
π0.5: a Vision-Language-Action Model with Open-World GeneralizationNABLAS株式会社
今回の資料「Transfusion / π0 / π0.5」は、画像・言語・アクションを統合するロボット基盤モデルについて紹介しています。
拡散×自己回帰を融合したTransformerをベースに、π0.5ではオープンワールドでの推論・計画も可能に。
This presentation introduces robot foundation models that integrate vision, language, and action.
Built on a Transformer combining diffusion and autoregression, π0.5 enables reasoning and planning in open-world settings.
RICS Membership-(The Royal Institution of Chartered Surveyors).pdfMohamedAbdelkader115
Glad to be one of only 14 members inside Kuwait to hold this credential.
Please check the members inside kuwait from this link:
https://www.rics.org/networking/find-a-member.html?firstname=&lastname=&town=&country=Kuwait&member_grade=(AssocRICS)&expert_witness=&accrediation=&page=1
International Journal of Distributed and Parallel systems (IJDPS)samueljackson3773
The growth of Internet and other web technologies requires the development of new
algorithms and architectures for parallel and distributed computing. International journal of
Distributed and parallel systems is a bimonthly open access peer-reviewed journal aims to
publish high quality scientific papers arising from original research and development from
the international community in the areas of parallel and distributed systems. IJDPS serves
as a platform for engineers and researchers to present new ideas and system technology,
with an interactive and friendly, but strongly professional atmosphere.