What does being "cloud native" mean? In this session, presented at the Austin Microservices Meetup, I explore the four levels of the ODCA Cloud Application Maturity Model and discuss how microservices and containers can help transform applications.
The document provides an overview of Red Hat OpenShift Container Platform, including:
- OpenShift provides a fully automated Kubernetes container platform for any infrastructure.
- It offers integrated services like monitoring, logging, routing, and a container registry out of the box.
- The architecture runs everything in pods on worker nodes, with masters managing the control plane using Kubernetes APIs and OpenShift services.
- Key concepts include pods, services, routes, projects, configs and secrets that enable application deployment and management.
Here are the key steps to create an application from the catalog in the OpenShift web console:
1. Click on "Add to Project" on the top navigation bar and select "Browse Catalog".
2. This will open the catalog page showing available templates. You can search for a template or browse by category.
3. Select the template you want to use, for example Node.js.
4. On the next page you can review the template details and parameters. Fill in any required parameters.
5. Click "Create" to instantiate the template and create the application resources in your current project.
6. OpenShift will then provision the application, including building container images if required.
Docker and Kubernetes provide tools for deploying and managing applications in containers. Docker allows packaging applications into containers that can be run on any Linux machine. Kubernetes provides a platform for automating deployment, scaling, and management of containerized applications. It groups related containers that make up an application into logical units called pods and provides mechanisms for service discovery, load balancing, and configuration management across a cluster. Many cloud providers now offer managed Kubernetes services to deploy and run containerized applications on their infrastructure.
This document provides an overview of cloud native concepts including:
- Cloud native is defined as applications optimized for modern distributed systems capable of scaling to thousands of nodes.
- The pillars of cloud native include devops, continuous delivery, microservices, and containers.
- Common use cases for cloud native include development, operations, legacy application refactoring, migration to cloud, and building new microservice applications.
- While cloud native adoption is growing, challenges include complexity, cultural changes, lack of training, security concerns, and monitoring difficulties.
This document provides an overview and introduction to Terraform, including:
- Terraform is an open-source tool for building, changing, and versioning infrastructure safely and efficiently across multiple cloud providers and custom solutions.
- It discusses how Terraform compares to other tools like CloudFormation, Puppet, Chef, etc. and highlights some key Terraform facts like its versioning, community, and issue tracking on GitHub.
- The document provides instructions on getting started with Terraform by installing it and describes some common Terraform commands like apply, plan, and refresh.
- Finally, it briefly outlines some key Terraform features and example use cases like cloud app setup, multi
This guide not only helps ensure you remember to plan for everything, but if you aren’t a regular migrator (and many aren’t – large migrations, for many, tend to be a maybe once or twice in a career thing), the list also serves to highlight things that could otherwise go easily overlooked.
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
The document provides an overview of the major OpenStack components from both a tenant and operator perspective. It describes the key services that OpenStack provides (Compute, Networking, Block Storage, Object Storage, Image Storage, Identity) and how each would be used and managed differently by tenants consuming infrastructure resources versus operators configuring and maintaining the cloud platform. It aims to explain the similarities and differences in how these services are experienced by tenants versus operators.
Infrastructure as Code, tools, benefits, paradigms and more.
Presentation from DigitalOnUs DevOps: Infrastructure as Code Meetup (September 20, 2018 - Monterrey Nuevo Leon MX)
An overview and introduction to Hashicorp's Terraform for the Chattanooga ChaDev Lunch.
https://www.youtube.com/watch?v=p2ESyuqPw1A
Azure DevOps provides enterprise-grade continuous delivery and release automation capabilities in the cloud with a 99.9% SLA and 24x7 support or on-premises with DevOps Server. It offers source code management, automated builds, requirements management, reporting and new features every three weeks in both cloud and on-premises environments.
Kubernetes Native Infrastructure and CoreOS Operator Framework for 5G Edge Cl...Hidetsugu Sugiyama
This session will discuss K8s solutions and Telco Intelligent-edge possibilities by integrate with CoreOS Operator Framework that can manage CNFs, state-full and other complex stateless container applications.
Azure provides Infrastructure as a Service (IaaS) through a global network of data centers. It offers virtual machines, storage, networking, and other core services to deploy and manage applications and infrastructure. Azure provides options for compute, storage, and virtual networking to suit different application needs. It also offers security, management, and backup services to help secure and monitor workloads in Azure.
This document provides a guide for migrating infrastructure, databases, and applications to the cloud. It discusses why organizations are choosing to migrate now, including reducing costs, increasing flexibility and scalability, and improving security. The guide outlines Microsoft's Cloud Adoption Framework for planning and executing a cloud migration. It covers strategies for assessing the current environment, planning the migration, moving workloads to the cloud, and ongoing management after migration. The goal is to provide best practices to help organizations efficiently and successfully migrate to the cloud.
This document provides an overview of VMware Cloud Foundation on Dell VxRail. It discusses the key benefits of the solution such as simplified operations through automation, a modern hybrid cloud platform, and choice of financial consumption models. It covers various technical aspects of the solution including workload domains, deployment options, lifecycle management, networking and security considerations, and integration with Tanzu for modern applications. Sections are included on initial deployment, day 2 operations, networking topology, host configuration, and the Tanzu framework.
The document discusses the shift towards cloud native application development. Some key points discussed include:
1. Cloud native originated in customer-facing tech companies and emphasizes building applications in, for, and maximizing the benefits of the cloud.
2. When developing new applications, organizations should focus on functional and non-functional requirements to determine the appropriate architecture, runtime environment, and degree of "cloudiness".
3. Cloud native development requires learning new topics like microservices, DevOps, serverless computing, and distributed systems.
This document discusses architecting a data lake. It begins by introducing the speaker and topic. It then defines a data lake as a repository that stores enterprise data in its raw format including structured, semi-structured, and unstructured data. The document outlines some key aspects to consider when architecting a data lake such as design, security, data movement, processing, and discovery. It provides an example design and discusses solutions from vendors like AWS, Azure, and GCP. Finally, it includes an example implementation using Azure services for an IoT project that predicts parts failures in trucks.
DDS is a very powerful technology built around a few simple and orthogonal concepts. If you understand the core concepts then you can really quickly get up to speed and start exploiting all of its power. On the other hand, if you haven’t grasped the key abstractions you might not be able to exploit all the benefits that DDS can bring.
This presentation provides you with an introduction to the core DDS concepts and illustrates how to program DDS applications. The new C++ and Java API will be explained and used throughout the webcast for coding examples thus giving you a chance to learn the new API from one of the main authors!
Where SOA and Monolitch EAR have failed. It's not simple to have your Apps scaling automagically without a very complex architecture. We're going to show pros and cons of so called Cloud-Native Applications based on Microservices, Caas, DevOps, Continuous Delivery....
Along with accessibility and convenience, cloud-based IT resources also bring risk. This webinar provides you with a brief introduction on the development of cloud computing and the related business risks. Additionally, you will learn questions to ask to determine if your company is using cloud-based IT resources along with information on the formal assurance frameworks that exist and can be effectively employed by both cloud consumers and providers without specialized training.
An Architectural Deep Dive With Kubernetes And Containers Powerpoint Presenta...SlideTeam
Introducing An Architectural Deep Dive With Kubernetes And Containers PowerPoint Presentation Slides. Present the need for the containers in an organization with the help of a readily available PPT slideshow. Discuss container architecture, use cases details to make your presentation elaborative. Showcase the features, architecture, installation roadmap, and the 30-60-90 day plan in Kubernetes with the help of modern-designed PPT infographics. Familiarize your viewers with the various components of Kubernetes with the help of content-ready Kubernetes Docker PPT visuals. Make full use of high-quality icons to make your presentation attention-grabbing and meaningful. Compare and contrast Kubernetes with docker swarm based on various parameters with the help of this attention-grabbing PPT slideshow. Elaborate on Kubelet, Kubectl, and Kubeadm with the help of labeled diagrams. Showcase the networking model of Kubernetes, security measures, and the development process with this easy-to-use docker Architecture PowerPoint template. Therefore, hit the download button now to grab this amazing presentation. https://bit.ly/3vtLeFb
Docker for the Enterprise with Containers as a Service by Banjot ChananaDocker, Inc.
Banjot Chanana is Senior Director of Product Management at Docker bringing solutions for enterprises to build, ship and run Docker applications on-premise or in their virtual private clouds.
This guide not only helps ensure you remember to plan for everything, but if you aren’t a regular migrator (and many aren’t – large migrations, for many, tend to be a maybe once or twice in a career thing), the list also serves to highlight things that could otherwise go easily overlooked.
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
The document provides an overview of the major OpenStack components from both a tenant and operator perspective. It describes the key services that OpenStack provides (Compute, Networking, Block Storage, Object Storage, Image Storage, Identity) and how each would be used and managed differently by tenants consuming infrastructure resources versus operators configuring and maintaining the cloud platform. It aims to explain the similarities and differences in how these services are experienced by tenants versus operators.
Infrastructure as Code, tools, benefits, paradigms and more.
Presentation from DigitalOnUs DevOps: Infrastructure as Code Meetup (September 20, 2018 - Monterrey Nuevo Leon MX)
An overview and introduction to Hashicorp's Terraform for the Chattanooga ChaDev Lunch.
https://www.youtube.com/watch?v=p2ESyuqPw1A
Azure DevOps provides enterprise-grade continuous delivery and release automation capabilities in the cloud with a 99.9% SLA and 24x7 support or on-premises with DevOps Server. It offers source code management, automated builds, requirements management, reporting and new features every three weeks in both cloud and on-premises environments.
Kubernetes Native Infrastructure and CoreOS Operator Framework for 5G Edge Cl...Hidetsugu Sugiyama
This session will discuss K8s solutions and Telco Intelligent-edge possibilities by integrate with CoreOS Operator Framework that can manage CNFs, state-full and other complex stateless container applications.
Azure provides Infrastructure as a Service (IaaS) through a global network of data centers. It offers virtual machines, storage, networking, and other core services to deploy and manage applications and infrastructure. Azure provides options for compute, storage, and virtual networking to suit different application needs. It also offers security, management, and backup services to help secure and monitor workloads in Azure.
This document provides a guide for migrating infrastructure, databases, and applications to the cloud. It discusses why organizations are choosing to migrate now, including reducing costs, increasing flexibility and scalability, and improving security. The guide outlines Microsoft's Cloud Adoption Framework for planning and executing a cloud migration. It covers strategies for assessing the current environment, planning the migration, moving workloads to the cloud, and ongoing management after migration. The goal is to provide best practices to help organizations efficiently and successfully migrate to the cloud.
This document provides an overview of VMware Cloud Foundation on Dell VxRail. It discusses the key benefits of the solution such as simplified operations through automation, a modern hybrid cloud platform, and choice of financial consumption models. It covers various technical aspects of the solution including workload domains, deployment options, lifecycle management, networking and security considerations, and integration with Tanzu for modern applications. Sections are included on initial deployment, day 2 operations, networking topology, host configuration, and the Tanzu framework.
The document discusses the shift towards cloud native application development. Some key points discussed include:
1. Cloud native originated in customer-facing tech companies and emphasizes building applications in, for, and maximizing the benefits of the cloud.
2. When developing new applications, organizations should focus on functional and non-functional requirements to determine the appropriate architecture, runtime environment, and degree of "cloudiness".
3. Cloud native development requires learning new topics like microservices, DevOps, serverless computing, and distributed systems.
This document discusses architecting a data lake. It begins by introducing the speaker and topic. It then defines a data lake as a repository that stores enterprise data in its raw format including structured, semi-structured, and unstructured data. The document outlines some key aspects to consider when architecting a data lake such as design, security, data movement, processing, and discovery. It provides an example design and discusses solutions from vendors like AWS, Azure, and GCP. Finally, it includes an example implementation using Azure services for an IoT project that predicts parts failures in trucks.
DDS is a very powerful technology built around a few simple and orthogonal concepts. If you understand the core concepts then you can really quickly get up to speed and start exploiting all of its power. On the other hand, if you haven’t grasped the key abstractions you might not be able to exploit all the benefits that DDS can bring.
This presentation provides you with an introduction to the core DDS concepts and illustrates how to program DDS applications. The new C++ and Java API will be explained and used throughout the webcast for coding examples thus giving you a chance to learn the new API from one of the main authors!
Where SOA and Monolitch EAR have failed. It's not simple to have your Apps scaling automagically without a very complex architecture. We're going to show pros and cons of so called Cloud-Native Applications based on Microservices, Caas, DevOps, Continuous Delivery....
Along with accessibility and convenience, cloud-based IT resources also bring risk. This webinar provides you with a brief introduction on the development of cloud computing and the related business risks. Additionally, you will learn questions to ask to determine if your company is using cloud-based IT resources along with information on the formal assurance frameworks that exist and can be effectively employed by both cloud consumers and providers without specialized training.
An Architectural Deep Dive With Kubernetes And Containers Powerpoint Presenta...SlideTeam
Introducing An Architectural Deep Dive With Kubernetes And Containers PowerPoint Presentation Slides. Present the need for the containers in an organization with the help of a readily available PPT slideshow. Discuss container architecture, use cases details to make your presentation elaborative. Showcase the features, architecture, installation roadmap, and the 30-60-90 day plan in Kubernetes with the help of modern-designed PPT infographics. Familiarize your viewers with the various components of Kubernetes with the help of content-ready Kubernetes Docker PPT visuals. Make full use of high-quality icons to make your presentation attention-grabbing and meaningful. Compare and contrast Kubernetes with docker swarm based on various parameters with the help of this attention-grabbing PPT slideshow. Elaborate on Kubelet, Kubectl, and Kubeadm with the help of labeled diagrams. Showcase the networking model of Kubernetes, security measures, and the development process with this easy-to-use docker Architecture PowerPoint template. Therefore, hit the download button now to grab this amazing presentation. https://bit.ly/3vtLeFb
Docker for the Enterprise with Containers as a Service by Banjot ChananaDocker, Inc.
Banjot Chanana is Senior Director of Product Management at Docker bringing solutions for enterprises to build, ship and run Docker applications on-premise or in their virtual private clouds.
NUS-ISS Learning Day 2018- Designing software to make the most of cloud platf...NUS-ISS
The document discusses designing cloud-native software to take advantage of cloud platforms. It describes cloud-native software as software built specifically for the cloud that maximizes the cloud's benefits. The document outlines characteristics of good cloud-native applications like high scalability and availability. It also discusses adopting microservices architectures with containers, utilizing platform as a service, and following best practices like the twelve factors of cloud applications. The goal is to design applications that are portable, scalable, and can take full advantage of cloud infrastructure and services.
Cloud native is a new paradigm for developing, deploying, and running applications using containers, microservices, and container orchestration. The Cloud Native Computing Foundation (CNCF) drives adoption of this paradigm through open source projects like Kubernetes, Prometheus, and Envoy. Cloud native applications are packaged as lightweight containers, developed as loosely coupled microservices, and deployed on elastic cloud infrastructure to optimize resource utilization. CNCF seeks to make these innovations accessible to everyone.
Evolving your Architecture to MicroServicesHector Tapia
Once-stable industries are rapidly being disrupted as companies move toward digitalization by embracing software at their core.
Deploying cloud-native application architectures is at the center of how these businesses are fueling their disruptive character.
This document discusses transforming monolithic applications into microservices using Docker and the 12 factor app methodology. It begins by describing the issues with monolithic applications and how Docker can help transform them. It then covers the key aspects of building applications for scale, including portability, horizontal scalability, automation, traceability, and robust deployments. Finally, it details the twelve factors of building 12 factor apps and provides both dos and don'ts for applying each factor when transforming applications.
Your Journey to Cloud-Native Begins with DevOps, Microservices, and ContainersAtlassian
Everyone is excited about cloud-native applications. And for good reason! They're scalable, resilient, portable across cloud environments, and make it easier to incorporate customer feedback quickly. But there's a catch: cloud-native applications fundamentally change the way you provision, deploy, and manage your infrastructure.
That's where DevOps, microservices, and containers come in. This session will show you how to combine them to create a highly-automated continuous delivery platform. By streamlining the process to resemble factory assembly lines, you can adapt quickly to market changes and keep your customers happy – without burning your team out.
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.
Serverless: Market Overview and Investment OpportunitiesUnderscore VC
The document discusses serverless computing and key investment opportunities in the space. Serverless computing refers to cloud-based event-driven computing where the cloud provider manages the infrastructure. The document outlines the benefits of serverless computing including ease of scaling, reduced costs, and increased productivity. It also discusses some challenges around vendor lock-in, lack of control, and multitenancy. The document identifies serverless monitoring, security, and infrastructure as key investment areas. It provides overviews of serverless monitoring companies IOPipe and Dashbird which provide tools to monitor and debug serverless applications.
All you need to know about cloud native development for your business.pdfmohitd6
Cloud-native development is an essential strategy for modern businesses aiming to stay competitive with resilient & scalable applications. With the use of microservices, containerization, CI/CD pipelines, and serverless computing, companies can unleash the power of cloud native apps for their businesses. With the adoption of cloud services & solutions, powered by cloud native practises you can acquire faster innovation that many fail to sustain in this rapidly changing era.
From Multi-Cloud and MicroServices to12-Factor Apps, Cloud-Native Applications are designed to be fast, tested and fail safe with continuous deployment to production. Simple policy declaration and enforcement across your stack allow you to move at greater speed, safety, and scale.
Docker & aPaaS: Enterprise Innovation and Trends for 2015WaveMaker, Inc.
WaveMaker Webinar: Cloud-based App Development and Docker: Trends to watch out for in 2015 - http://www.wavemaker.com/news/webinar-cloud-app-development-and-docker-trends/
CIOs, IT planners and developers at a growing number of organizations are taking advantage of the simplicity and productivity benefits of cloud application development. With Docker technology, cloud-based app development or aPaaS (Application Platform as a Service) is only becoming more disruptive − forcing organizations to rethink how they handle innovation, time-to-market pressures, and IT workloads.
Leveraging the unique benefits of the cloud requires a specialized approach to application architecture. The right design enables business agility, massive scaling, ability to burst, and high resiliency. Plus, it promotes resource efficiency and can minimize costs. If you are involved in providing applications or services in the cloud, attend this session to learn the principles of cloud-aware application design and to explore emerging architectural patterns which maximize cloud advantages.
This document discusses developing hybrid cloud applications. It notes that cloud is enabling digital disruption and rapid innovation. It then discusses challenges around balancing investments in innovation and optimization. It outlines the evolution from traditional on-premises infrastructure to cloud-based platforms and services. It also summarizes strategies for using hybrid cloud to reduce costs while enabling innovation through new applications and integration with existing IT.
Cloud Native Patterns with Bluemix Developer ConsoleMatthew Perrins
This presentation talks about Cloud Native Application patterns Mobile, Web, BFF (Backend for Frontend) and Microservices. It will walk through the patterns and show how they can be used to deliver public cloud solutions with IBM Cloud, using Bluemix Developer Console
The document discusses how containers help accelerate DevOps practices for enterprises. Containers allow applications to be deployed faster and across different environments compared to virtual machines. This enables better collaboration between development and operations teams. The document then introduces Nirmata, a container management platform that provides a single control plane for managing applications across public and private clouds. It highlights how Nirmata automates the full container application lifecycle and can help reduce costs for enterprises adopting DevOps. Finally, a demo of the Nirmata platform is shown.
The document discusses cloud-native application architectures and how they enable speed, safety, and scale through approaches like twelve-factor applications and microservices. It outlines the cloud-native stack and where governance is needed to secure different components like code, orchestration tools, containers, services, and infrastructure. The document argues that while cloud-native approaches are well-suited for technology companies, traditional enterprises face challenges in fully adopting these architectures due to differences in priorities, skills, and scale.
Infrastructure as Code in Large Scale OrganizationsXebiaLabs
The adoption of tools for the provisioning and automatic configuration of "Infrastructure as Code" (eg Terraform, Cloudformation or Ansible) reduces cost, time, errors, violations and risks when provisioning and configuring the necessary infrastructure so that our software can run .
However, those who have begun to make intensive use of this technology at the business level agree to identify the emergence of a very critical problem regarding the orchestration and governance needs of supply requests such as security, compliance, scalability, integrity and more.
Learn how The Digital.ai DevOps Platform (formerly XebiaLabs DevOps Platform) responds to all these problems and many more, allowing you to continue working with your favorite tools.
Software supply chain attacks increased 650% in 2021. Learn why software supply chains are vulnerable, the types of attacks, and how to prevent them using OSS tools like Sigstore cosign and CNCF Kyverno!
Cloud native technologies, like containers and Kubernetes, enable enterprise agility at scale and without compromises. Learn how enterprises can warp speed their DevOps initiatives by embracing cloud native technologies, measuring DevOps success, and utilizing modern enterprise Kubernetes platforms like Nirmata!
Kubernetes is the new cloud OS, and enterprises are rapidly migrating existing applications to Kubernetes as well as creating new Kubernetes-native applications. However, Kubernetes configuration management remains complex, and due to this complexity, most implementations do not leverage Kubernetes constructs for security.
In this session you will learn:
- Key Kubernetes constructs to use for properly securing application workloads in any cloud
- How to manage Kubernetes configurations across multiple clusters and cloud providers
- How to audit and enforce enterprise-wide Kubernetes best practices
Virtual Kubernetes Clusters on Amazon EKSJim Bugwadia
From AWS Community Day 2019!
Learn how to use Kubernetes native constructs to build Virtual Clusters, so that your teams can focus on delivering business value.
Kubernetes can be complex to manage at enterprise scale! Cloud provider services like Amazon EKS solves the challenge of bringing up a Kubernetes control plane. However, production Kubernetes requires multi-layer security, access controls, load-balancing, monitoring, logging, governance, secrets management, policy management, and several other considerations. In this fast paced talk, we will cover how enterprises can address each of these areas and discuss best practices to fast track deployments.
Azure meetup cloud native concepts - may 28th 2018Jim Bugwadia
This document provides an overview of cloud-native concepts and technologies like containers, microservices, and Kubernetes. It discusses how containers package applications and provide isolation using technologies like Docker. Microservices are described as a way to build applications as independent, interoperable services. Kubernetes is presented as an open-source system for automating deployment and management of containerized workloads at scale. The document outlines Kubernetes concepts like pods, deployments, services and how they help developers and operations teams manage applications in a cloud-native way.
This document provides an overview of Kubernetes and how Nirmata can help enterprises manage Kubernetes clusters and workloads. It begins with basic Kubernetes concepts like pods, deployments, services, and networking. It then discusses how Nirmata provides centralized management of Kubernetes infrastructure and applications across public and private clouds through its policy engine and integration with DevOps tools. The document concludes by stating that Kubernetes enables enterprise agility when managed with solutions like Nirmata.
Multi-cloud Container Management for vRealize AutomationJim Bugwadia
This document discusses multi-cloud container management with vRealize Automation. It introduces Nirmata, a solution that provides a single interface to deploy and manage containerized applications on any cloud. The solution enables self-service provisioning of container hosts and application environments directly in vRealize Automation across vSphere, AWS, and Azure. It also allows enterprises to transform to cloud-native applications without vendor lock-in or loss of visibility and control.
Containerizing Traditional ApplicationsJim Bugwadia
Can traditional applications be containerized? Does it make sense to do so? In this meetup session we tackle some of these questions, with a focus on managing stateful applications using Docker or other container technologies!
This presentation shows how Nirmata's multi-cloud container management solution can manage application SLAs across across AWS Spot and On-Demand instances.
Microservice are elastic and resilient by design. Application containers provide AWS Spot Instances provide market pricing on infrastructure at up to 90% cost savings. So, why not combine these trends, and using Nirmata's scheduling and application orchestration, and get DevOps agility and cost savings!
Multi-Cloud Microservices - DevOps Summit Silicon Valley 2015Jim Bugwadia
Learn about the cloud native application maturity model, and how to evolve to microservices style applications deployed in containers, across public and private clouds.
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.
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
Value Stream Mapping Worskshops for Intelligent Continuous SecurityMarc Hornbeek
This presentation provides detailed guidance and tools for conducting Current State and Future State Value Stream Mapping workshops for Intelligent Continuous Security.
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.
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).
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
"Feed Water Heaters in Thermal Power Plants: Types, Working, and Efficiency G...Infopitaara
A feed water heater is a device used in power plants to preheat water before it enters the boiler. It plays a critical role in improving the overall efficiency of the power generation process, especially in thermal power plants.
🔧 Function of a Feed Water Heater:
It uses steam extracted from the turbine to preheat the feed water.
This reduces the fuel required to convert water into steam in the boiler.
It supports Regenerative Rankine Cycle, increasing plant efficiency.
🔍 Types of Feed Water Heaters:
Open Feed Water Heater (Direct Contact)
Steam and water come into direct contact.
Mixing occurs, and heat is transferred directly.
Common in low-pressure stages.
Closed Feed Water Heater (Surface Type)
Steam and water are separated by tubes.
Heat is transferred through tube walls.
Common in high-pressure systems.
⚙️ Advantages:
Improves thermal efficiency.
Reduces fuel consumption.
Lowers thermal stress on boiler components.
Minimizes corrosion by removing dissolved gases.
Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
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.
Concept of Problem Solving, Introduction to Algorithms, Characteristics of Algorithms, Introduction to Data Structure, Data Structure Classification (Linear and Non-linear, Static and Dynamic, Persistent and Ephemeral data structures), Time complexity and Space complexity, Asymptotic Notation - The Big-O, Omega and Theta notation, Algorithmic upper bounds, lower bounds, Best, Worst and Average case analysis of an Algorithm, Abstract Data Types (ADT)
The role of the lexical analyzer
Specification of tokens
Finite state machines
From a regular expressions to an NFA
Convert NFA to DFA
Transforming grammars and regular expressions
Transforming automata to grammars
Language for specifying lexical analyzers
2. Confidential 2August 14, 2016
High-performing IT organizations
2016 State of DevOps Report
https://puppet.com/resources/white-paper/2016-state-of-devops-report
200x
more frequent
deploys
3x
fewer
failures
24x
faster
recovery
2,555x
shorter lead
times
2.2x
higher employee
satisfaction
3. Dev -> QA -> Ops
Infrastructure as Pets
Traditional apps
DevOps
Infrastructure as Cattle
Cloud-native applications
Few releases per year Continuous Delivery
4. 4
Topics
1. The Cloud-native Application Maturity Model
2. How containers and microservices help
3. Managing cloud-native applications
5. 5
About me
1994
• Founder at Nirmata
• Developer (Java, Go, JavaScript, C++); learning Ops
• Centralized management of complex distributed systems
7. 7
CAMM Level 0: Virtualized
• Tiered applications in Virtual Machines
o Application runs on virtual infrastructure
o Application can be deployed using a script or installer
• Handoffs: Dev QA Ops
OS
App
VM
OS
App
VM
OS
App
VM
8. 8
CAMM Level 1: Loosely Coupled
Applications are decoupled from networks
Applications are decoupled from storage
Application components are service-oriented
(Optional)
1
2
3
10. 10
Through 2018, more than 70% of IT organizations
planning a private PaaS will deploy a container service
(rather than PaaS framework software)
-- Gartner Predicts 2016: PaaS Innovation Continues Unabated
12. 12
CAMM Level 2: Abstracted
Services are stateless
Application is unaware and unaffected by failure of
dependent services
Application is infrastructure agnostic and can run
anywhere
1
2
3
13. 13
1. Elastic: scales up or down independently of other services
2. Resilient: services provide fault isolation boundaries
3. Composable: uniform APIs and a Service Gateway
4. Minimal: smallest possible set of highly cohesive set of entities
5. Complete: can be deployed and versioned independently
A Microservices-style application is composed of several
services and each service is:
https://dzone.com/articles/microservices-five
15. 15
CAMM Level 3: Adaptive
Fully automate application and infrastructure management
Deploy and operate on any cloud
Plan for active-active cloud deployments (future)
1
2
3
16. 16
Two emerging trends…
• In-band management: Chef Habitat, Joyent’s Container Pilot, …
• Out-of-band management: IaaS+, Nirmata
18. 18
Why Nirmata?
Software infrastructure is best
delivered “as-a-service”
Cloud-native applications need
cloud-native management
Applications should not be
locked in to a cloud provider
1
2
3
• Founded Sep 2013 ->
Beta Jan 2015 -> GA 2016!
• Fortune 50 as well as startup
customers in production
• 1M+ pulls; 10K+ managed
containers per month!
• Wide range of apps – from
Enterprise IT to IoT!
we believe….
19. 19
Public or
Private Clouds
Adaptive Management for Cloud-Native Applications
nirmata
any cloud – any device
Connected Devices
Data Centers
DevOps
IT Ops
fully automated deployment – operations - optimization
20. 20
Network
Infrastructure as a Service
HostsOpen Container Runtime
Build – CI/CD
Source Control
Image Registry
Storage
Compute
Security
Host Mgmt
Scheduling & Orchestration
Policy-Based Resource Management
Application Lifecycle Management
Microservices Infrastructure
Monitoring
Logging
Remediation
Alarms
Cloud Virtual Physical
Access Control