In the last few years, the popularity of DevSecOps and rich cloud services have been driving the adoption of containers in the software industry. Container architectures become increasingly complex, and organizations cannot escape using them. At the same time, attackers are finding new ways of exploiting containers and container architectures.
Are you still new to containerization and infrastructure as code? Do you feel that your knowledge of application security suddenly doesn’t apply to the way applications are built and deployed using containers? Do you get lost in the IaC and container terminology soup? If so, this talk will help clear things up and answer your questions.
We start with an introduction into container technologies, briefly go through the key terminology, explain the value that containers bring today, and why they are so popular. Then we will talk about the challenges that DevSecOps engineers have when using contains and the security aspects that they face. This presentation includes descriptions of common container threats and real-world examples of recent attacks. These threats will guide our discussion of the typical vulnerabilities and attack vectors. We will touch on well-known standards and resources for container security, such as OWASP Docker Top 10 project, Container Security Verification Standard, NIST Application Container Security Guide, and CIS Benchmarks. And we conclude with guidelines on how to secure containers and listing best practices that most organizations follow today.
Kubernetes is an open-source platform for managing containerized applications across multiple hosts. It provides tools for deployment, scaling, and management of containers. Kubernetes handles tasks like scheduling containers on nodes, scaling resources, applying security policies, and monitoring applications. It ensures containers are running and if not, restarts them automatically.
Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
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.
Introduction to Docker storage, volume and imageejlp12
Docker storage drivers allow images and containers to be stored in different ways by implementing a pluggable storage driver interface. Common storage drivers include overlay2, aufs, devicemapper, and vfs. Images are composed of read-only layers stacked on top of each other, with containers adding a writable layer. Storage can be persisted using volumes, bind mounts, or tmpfs mounts. Strategies for managing persistent container data include host-based storage, volume plugins, and container storage platforms.
Container security involves securing the host, container content, orchestration, and applications. The document discusses how container isolation evolved over time through namespaces, cgroups, capabilities, and other Linux kernel features. It also covers securing container images, orchestrators, and applications themselves. Emerging technologies like LinuxKit, Katacontainers, and MirageOS aim to provide more lightweight and secure container environments.
Introduction of Kubernetes - Trang NguyenTrang Nguyen
This presentation provides the basic concepts of the Kubernetes for Beginners.
1) Introduction of Kubernetes
Before Kubernetes
What is Kubernetes
What Kubernetes can do?
What Kubernetes can't do?
Features of Kubernetes
Kubernetes Architecture
Kubernetes vs Docker Swarm
Kubernetes 7 use cases
...
2) Kubernetes Component
What is Kubelet?
What is Kubectl?
What is Kubeadm?
3) Nodes in Kubernetes
What is a node in Kubernetes?
Master node
Worker node
4) Kubernetes Development Process
What is blue green deployment?
How to automate the deployment?
5) Networking in Kubernetes
Kubernetes networking model
Ingress networking in Kubernetes
6) Security Measures in Kubernetes
Best security measures in Kubernetes
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes basic Kubernetes components like pods, replication controllers, services, deployments, and replica sets. It explains how Kubernetes is used to group and schedule containers, maintain desired pod counts, update applications seamlessly with rolling updates, and more. The document also notes Kubernetes was inspired by Google's internal container systems and can manage applications across cloud and bare-metal environments.
Kubernetes is an open-source platform for managing containerized applications across multiple hosts. It provides tools for deployment, scaling, and management of containers. Kubernetes handles tasks like scheduling containers on nodes, scaling resources, applying security policies, and monitoring applications. It ensures containers are running and if not, restarts them automatically.
Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
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.
Introduction to Docker storage, volume and imageejlp12
Docker storage drivers allow images and containers to be stored in different ways by implementing a pluggable storage driver interface. Common storage drivers include overlay2, aufs, devicemapper, and vfs. Images are composed of read-only layers stacked on top of each other, with containers adding a writable layer. Storage can be persisted using volumes, bind mounts, or tmpfs mounts. Strategies for managing persistent container data include host-based storage, volume plugins, and container storage platforms.
Container security involves securing the host, container content, orchestration, and applications. The document discusses how container isolation evolved over time through namespaces, cgroups, capabilities, and other Linux kernel features. It also covers securing container images, orchestrators, and applications themselves. Emerging technologies like LinuxKit, Katacontainers, and MirageOS aim to provide more lightweight and secure container environments.
Introduction of Kubernetes - Trang NguyenTrang Nguyen
This presentation provides the basic concepts of the Kubernetes for Beginners.
1) Introduction of Kubernetes
Before Kubernetes
What is Kubernetes
What Kubernetes can do?
What Kubernetes can't do?
Features of Kubernetes
Kubernetes Architecture
Kubernetes vs Docker Swarm
Kubernetes 7 use cases
...
2) Kubernetes Component
What is Kubelet?
What is Kubectl?
What is Kubeadm?
3) Nodes in Kubernetes
What is a node in Kubernetes?
Master node
Worker node
4) Kubernetes Development Process
What is blue green deployment?
How to automate the deployment?
5) Networking in Kubernetes
Kubernetes networking model
Ingress networking in Kubernetes
6) Security Measures in Kubernetes
Best security measures in Kubernetes
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes basic Kubernetes components like pods, replication controllers, services, deployments, and replica sets. It explains how Kubernetes is used to group and schedule containers, maintain desired pod counts, update applications seamlessly with rolling updates, and more. The document also notes Kubernetes was inspired by Google's internal container systems and can manage applications across cloud and bare-metal environments.
This document provides an overview of Kubernetes, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.
Introduction to Container Storage Interface (CSI)Idan Atias
Among the cool stuff we do at Silk, my colleagues and I develop the Silk CSI Plugin for customers who use our system as the storage layer for their Kubernetes workloads.
Before deep diving into the code and as part of my ramp-up on this subject I prepared some slides that cover some basic and important information on this topic.
These slides start by recapping some basic storage principals in containers and Kubernetes, continues with some more advanced use cases (including an "offline demo" of persisting Redis data on EBS volumes), and ends with a detailed information on the CSI solution itself.
IMHO, reviewing these slides can improve your understanding on this matter and can get you started implementing your own CSI plugin.
The main sources of information I used for preparing these slides are:
* Official CSI docs
* Kubernetes Storage Lingo 101 - Saad Ali, Google
* Container Storage Interface: Present and Future - Jie Yu, Mesosphere, Inc.
My cloud native security talk I gave at Innotech Austin 2018. I cover container and Kubernetes security topics, security features in Kubernetes, including opensource projects you will want to consider while building and maintaining cloud native applications.
This talk discusses the core concepts behind the Kubernetes extensibility model. We are going to see how to implement new CRDs, operators and when to use them to automate the most critical aspects of your Kubernetes clusters.
This document discusses improving the developer experience through GitOps and ArgoCD. It recommends building developer self-service tools for cloud resources and Kubernetes to reduce frustration. Example GitLab CI/CD pipelines are shown that handle releases, deployments to ECR, and patching apps in an ArgoCD repository to sync changes. The goal is to create faster feedback loops through Git operations and automation to motivate developers.
Accelerate with ibm storage ibm spectrum virtualize hyper swap deep dive dee...xKinAnx
HyperSwap provides high availability by allowing volumes to be accessible across two IBM Spectrum Virtualize systems in a clustered configuration. It uses synchronous remote copy to replicate primary and secondary volumes between the two systems, making the volumes appear as a single object to hosts. This allows host I/O to continue if an entire system fails without any data loss. The configuration requires a quorum disk in a third site for the cluster to maintain coordination and survive failures across the two main sites.
Grafana Loki is a newly developed logs aggregation system that integrated very nicely with Grafana dashboard to link metrics with logs or just use logs as a separate panel. It is open-source and has a growing community.
Istio is an open platform for providing a service mesh on Kubernetes clusters. It consists of three main components: Envoy proxies that mediate service-to-service communication, Pilot that configures the proxies, and Mixer that enforces policies and collects telemetry data. Istio injects Envoy sidecar proxies into applications so they can provide features like load balancing, authentication, failure recovery, and observability without requiring code changes. This provides a way to manage microservices that is more robust and flexible than using an API gateway alone.
This document provides an overview of GitOps and summarizes a training session on the topic. The session covered Kubernetes and Git basics, the motivation and model for GitOps, an example of GitOps in action using Flux on a training environment, progressive delivery techniques like Flagger, and challenges with GitOps adoption. The goals were to explain what GitOps is, understand benefits, gain hands-on experience, and decide if it's right for a team/project. GitOps aims to use Git as the single source of truth for infrastructure and automate deployments by reconciling production with the code repository.
The document provides instructions for deploying and managing an EKS (Elastic Kubernetes Service) cluster on AWS using eksctl. It outlines the steps to install eksctl and kubectl, deploy an EKS cluster called "eks-122" using eksctl with default settings, verify the cluster is active with 2 nodes, and finally delete the cluster when it is no longer needed.
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
Introduction to Kubernetes and Google Container Engine (GKE)Opsta
Kubernetes is an open-source system for automating
deployment, scaling, and management of containerized
applications. This presentation will show you overview of Kubernetes concept and benefit with Google Container Engineer (GKE)
GDG DevFest Bangkok 2017 at Ananda UrbanTech FYI Center on October 7, 2017
See Facebook Live here
https://www.facebook.com/gamez.always/videos/10204052467627401/
This presentation covers the basics of dockers, its security related features and how certain misconfigurations can be used to escape from container to host
Everything You Need To Know About Persistent Storage in KubernetesThe {code} Team
This document discusses Kubernetes persistent storage options for stateful applications. It covers common use cases that require persistence like databases, messaging systems, and content management systems. It then describes Kubernetes persistent volume (PV), persistent volume claim (PVC), and storage class objects that are used to provision and consume persistent storage. Finally, it compares deployments with statefulsets and covers other volume types like emptyDir, hostPath, daemonsets and their use cases.
The document discusses advanced configuration and usage of Docker registries. It describes what a registry is for storing Docker images and supporting various storage backends. It then covers configuring a registry to add features like a search index using SQLite, mirroring another registry, and adding a Redis cache. The document concludes by discussing extending the registry code for customization.
This document provides an overview of container orchestration with Kubernetes. It begins with recapping container and Docker concepts like namespaces, cgroups, and union filesystems. It then introduces Kubernetes architecture including components like kube-apiserver, kubelet and kube-proxy. Common Kubernetes objects like pods, services, replica sets and deployments are described. The document also covers Kubernetes networking with options like NodePort, LoadBalancer and Ingress. Additional topics include service discovery, logging/monitoring and persistent storage.
Optimizing Kubernetes Resource Requests/Limits for Cost-Efficiency and Latenc...Henning Jacobs
Kubernetes has the concept of resource requests and limits. Pods get scheduled on the nodes based on their requests and optionally limited in how much of the resource they can consume. Understanding and optimizing resource requests/limits is crucial both for reducing resource "slack" and ensuring application performance/low-latency. This talk shows our approach to monitoring and optimizing Kubernetes resources for 80+ clusters to achieve cost-efficiency and reducing impact for latency-critical applications. All shown tools are Open Source and can be applied to most Kubernetes deployments.
This document provides an overview of container security best practices. It discusses challenges in securing components of the container infrastructure like images, registries, runtimes and orchestrators. It outlines common container threats like privilege escalation attacks and misconfigured containers. The document recommends mitigations like using vetted base images, access controls, network segmentation and updating components. It also references resources like the OWASP Docker Top 10, NIST container security guide and CIS Docker benchmark that provide guidelines for container hardening. In summary, the key is to monitor components, limit access, use segmentation and follow security standards to protect the container environment.
1) The signs indicate it's time for the organization to develop an enterprise strategy for container deployments as more internal developers use Docker and commercial software is delivered as container images.
2) Key aspects of the strategy include choosing the underlying infrastructure, implementing image governance policies, securing the Docker platform, handling operations, migrating applications, and more.
3) When choosing infrastructure, organizations should consider using virtualization for managers and bare metal for workers to optimize costs while providing needed capabilities in different environments.
This document provides an overview of Kubernetes, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.
Introduction to Container Storage Interface (CSI)Idan Atias
Among the cool stuff we do at Silk, my colleagues and I develop the Silk CSI Plugin for customers who use our system as the storage layer for their Kubernetes workloads.
Before deep diving into the code and as part of my ramp-up on this subject I prepared some slides that cover some basic and important information on this topic.
These slides start by recapping some basic storage principals in containers and Kubernetes, continues with some more advanced use cases (including an "offline demo" of persisting Redis data on EBS volumes), and ends with a detailed information on the CSI solution itself.
IMHO, reviewing these slides can improve your understanding on this matter and can get you started implementing your own CSI plugin.
The main sources of information I used for preparing these slides are:
* Official CSI docs
* Kubernetes Storage Lingo 101 - Saad Ali, Google
* Container Storage Interface: Present and Future - Jie Yu, Mesosphere, Inc.
My cloud native security talk I gave at Innotech Austin 2018. I cover container and Kubernetes security topics, security features in Kubernetes, including opensource projects you will want to consider while building and maintaining cloud native applications.
This talk discusses the core concepts behind the Kubernetes extensibility model. We are going to see how to implement new CRDs, operators and when to use them to automate the most critical aspects of your Kubernetes clusters.
This document discusses improving the developer experience through GitOps and ArgoCD. It recommends building developer self-service tools for cloud resources and Kubernetes to reduce frustration. Example GitLab CI/CD pipelines are shown that handle releases, deployments to ECR, and patching apps in an ArgoCD repository to sync changes. The goal is to create faster feedback loops through Git operations and automation to motivate developers.
Accelerate with ibm storage ibm spectrum virtualize hyper swap deep dive dee...xKinAnx
HyperSwap provides high availability by allowing volumes to be accessible across two IBM Spectrum Virtualize systems in a clustered configuration. It uses synchronous remote copy to replicate primary and secondary volumes between the two systems, making the volumes appear as a single object to hosts. This allows host I/O to continue if an entire system fails without any data loss. The configuration requires a quorum disk in a third site for the cluster to maintain coordination and survive failures across the two main sites.
Grafana Loki is a newly developed logs aggregation system that integrated very nicely with Grafana dashboard to link metrics with logs or just use logs as a separate panel. It is open-source and has a growing community.
Istio is an open platform for providing a service mesh on Kubernetes clusters. It consists of three main components: Envoy proxies that mediate service-to-service communication, Pilot that configures the proxies, and Mixer that enforces policies and collects telemetry data. Istio injects Envoy sidecar proxies into applications so they can provide features like load balancing, authentication, failure recovery, and observability without requiring code changes. This provides a way to manage microservices that is more robust and flexible than using an API gateway alone.
This document provides an overview of GitOps and summarizes a training session on the topic. The session covered Kubernetes and Git basics, the motivation and model for GitOps, an example of GitOps in action using Flux on a training environment, progressive delivery techniques like Flagger, and challenges with GitOps adoption. The goals were to explain what GitOps is, understand benefits, gain hands-on experience, and decide if it's right for a team/project. GitOps aims to use Git as the single source of truth for infrastructure and automate deployments by reconciling production with the code repository.
The document provides instructions for deploying and managing an EKS (Elastic Kubernetes Service) cluster on AWS using eksctl. It outlines the steps to install eksctl and kubectl, deploy an EKS cluster called "eks-122" using eksctl with default settings, verify the cluster is active with 2 nodes, and finally delete the cluster when it is no longer needed.
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
Introduction to Kubernetes and Google Container Engine (GKE)Opsta
Kubernetes is an open-source system for automating
deployment, scaling, and management of containerized
applications. This presentation will show you overview of Kubernetes concept and benefit with Google Container Engineer (GKE)
GDG DevFest Bangkok 2017 at Ananda UrbanTech FYI Center on October 7, 2017
See Facebook Live here
https://www.facebook.com/gamez.always/videos/10204052467627401/
This presentation covers the basics of dockers, its security related features and how certain misconfigurations can be used to escape from container to host
Everything You Need To Know About Persistent Storage in KubernetesThe {code} Team
This document discusses Kubernetes persistent storage options for stateful applications. It covers common use cases that require persistence like databases, messaging systems, and content management systems. It then describes Kubernetes persistent volume (PV), persistent volume claim (PVC), and storage class objects that are used to provision and consume persistent storage. Finally, it compares deployments with statefulsets and covers other volume types like emptyDir, hostPath, daemonsets and their use cases.
The document discusses advanced configuration and usage of Docker registries. It describes what a registry is for storing Docker images and supporting various storage backends. It then covers configuring a registry to add features like a search index using SQLite, mirroring another registry, and adding a Redis cache. The document concludes by discussing extending the registry code for customization.
This document provides an overview of container orchestration with Kubernetes. It begins with recapping container and Docker concepts like namespaces, cgroups, and union filesystems. It then introduces Kubernetes architecture including components like kube-apiserver, kubelet and kube-proxy. Common Kubernetes objects like pods, services, replica sets and deployments are described. The document also covers Kubernetes networking with options like NodePort, LoadBalancer and Ingress. Additional topics include service discovery, logging/monitoring and persistent storage.
Optimizing Kubernetes Resource Requests/Limits for Cost-Efficiency and Latenc...Henning Jacobs
Kubernetes has the concept of resource requests and limits. Pods get scheduled on the nodes based on their requests and optionally limited in how much of the resource they can consume. Understanding and optimizing resource requests/limits is crucial both for reducing resource "slack" and ensuring application performance/low-latency. This talk shows our approach to monitoring and optimizing Kubernetes resources for 80+ clusters to achieve cost-efficiency and reducing impact for latency-critical applications. All shown tools are Open Source and can be applied to most Kubernetes deployments.
This document provides an overview of container security best practices. It discusses challenges in securing components of the container infrastructure like images, registries, runtimes and orchestrators. It outlines common container threats like privilege escalation attacks and misconfigured containers. The document recommends mitigations like using vetted base images, access controls, network segmentation and updating components. It also references resources like the OWASP Docker Top 10, NIST container security guide and CIS Docker benchmark that provide guidelines for container hardening. In summary, the key is to monitor components, limit access, use segmentation and follow security standards to protect the container environment.
1) The signs indicate it's time for the organization to develop an enterprise strategy for container deployments as more internal developers use Docker and commercial software is delivered as container images.
2) Key aspects of the strategy include choosing the underlying infrastructure, implementing image governance policies, securing the Docker platform, handling operations, migrating applications, and more.
3) When choosing infrastructure, organizations should consider using virtualization for managers and bare metal for workers to optimize costs while providing needed capabilities in different environments.
Understanding docker ecosystem and vulnerabilities pointsAbdul Khan
Docker has given many developers an easy platform with which to build and deploy scalable containerised applications and services. In this presentation docker is explored but it’s importance to understand the vulnerable endpoints of the docker ecosystem.
Applied Security for Containers, OW2con'18, June 7-8, 2018, ParisOW2
There’s a constant rise of the container usage in the existing cloud ecosystem.
Most companies are evaluating how to migrate to newer, flexible and automated platform for content and application delivery.
The containers are building themselves alone across the business, but who's securing them?
This presentation discusses the evolution of infrastructure solutions from servers to containers, how can they be secured.
What opensource security options are available today?
Where is the future leading towards container security?
What will come after containers?
This document discusses security considerations for Docker containers. It covers three main aspects: securing the platform/infrastructure by hardening the Docker engine and hosts; securing container content through image management, content trust, and secrets management; and securing access and operations through authentication, authorization, access control, auditing, and multi-tenancy. While containers provide isolation and security benefits, the document emphasizes that containers must still follow security best practices to prevent compromise, especially as container usage evolves from individual services to larger applications.
Contain your risk: Deploy secure containers with trust and confidenceBlack Duck by Synopsys
Presented on September 22, 2016 by Brent Baude, Principle Software Engineer, Atomic and Docker Development, Red Hat; Randy Kilmon, VP, Engineering, Black Duck
Organizations are increasingly turning to container environments to meet the demand for faster, more agile software development. But a 2015 study conducted by Forrester Consulting on behalf of Red Hat revealed that 53% of IT operations and development decision makers at global enterprises reported container security concerns as a barrier to adoption.
The challenges of managing security risk increase in scope and complexity when hundreds or even thousands of different open source software components and licenses are part of your application code base. Since 2014, more than 6,000 new open source security vulnerabilities have been reported, making it essential to have good visibility into and control over the open source in use in order to understand if any known vulnerabilities are present.
In this webinar, experts from Red Hat and Black Duck will share the latest insights and recommendations for securing the open source in your containers, including protecting them from vulnerabilities like Heartbleed, Shellshock and Venom. You’ll learn:
• Why container environments present new application security challenges, including those posed by ever-increasing open source use.
• How to scan applications running in containers to identify open source in use and map known open source security vulnerabilities.
• Best practices and methodologies for deploying secure containers with trust and confidence.
Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers
Outpost24 webinar mastering container security in modern day dev opsOutpost24
Our cloud security expert examines the security challenges that come with container adoption and unpack the key steps required to integrate and automate container assessment into the DevOps cycle to help developers build and deploy cloud native apps at speed whilst keeping one eye on security.
Demystifying Containerization Principles for Data ScientistsDr Ganesh Iyer
Demystifying Containerization Principles for Data Scientists - An introductory tutorial on how Dockers can be used as a development environment for data science projects
In this presentation, we talk about:
- Introduction to Containers
- Container Security Overview
You can watch the complete session here:
https://youtu.be/w2-NtdAkrOI?t=1901
This document discusses container image management in enterprises and introduces Project Harbor, an open source container registry. It covers key topics like container image basics, Project Harbor features, maintaining consistency of images between environments, security and access control of images, image distribution strategies, and high availability of container registries. Project Harbor provides an enterprise-grade private registry with features for user management, image replication, security, and integration with systems like LDAP. It aims to help organizations securely manage the distribution and storage of container images.
stackconf 2020 | Replace your Docker based Containers with Cri-o Kata Contain...NETWAYS
They provide the workload isolation and security advantages of VMs. but at the same time maintain the speed of deployment and usability of containers.by using kata containers, instead of namespace, small virtual machines are created on the kernel and be strongly isolated. The technology of Kata Containers is based on KVM hypervisor. That’s why the level of isolation is equivalent to typical hypervisors. This session will focus on a live production phase when choosing kata instead of docker, and why they are preferable
Although containers provides software-level isolation of resources, the kernel needs to be shared. That’s why the isolation level in terms of security is not so high when compared with hypervisors.This learns to shift from Docker as the de facto standard to Kata containers and learn how to obtain higherl level of security
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.
Manideep Konakandla is a security researcher who has extensively studied container security. He gives an overview of container security risks across the container pipeline. This includes securing images during building and distribution, hardening the container runtime environment, and other considerations for enterprises deploying containers like implementing security controls on daemons and hosts. He outlines best practices for minimizing risks at different stages and emphasizes the importance of maintaining up-to-date software and implementing custom security measures according to organizational needs.
This document discusses ongoing security for embedded Linux devices. It describes Timesys' security notification service which monitors Common Vulnerabilities and Exposures (CVEs) and notifies customers of relevant issues. The service filters CVE data, disambiguates package names, and flags false positives. Notifications are sent via a RESTful API or through a LinuxLink user account. The meta-timesys layer integrates these security features into builds using OpenEmbedded RPB BSP. Ongoing security helps minimize known vulnerabilities over the product lifecycle.
(DVO311) Containers, Red Hat & AWS For Extreme IT AgilityAmazon Web Services
Red Hat is helping organizations like Duke University become more efficient by delivering environmental parity for container-based applications across physical, virtual, private cloud, and public cloud environments. Red Hat delivers a comprehensive, integrated, and modular platform for containerized application delivery across the open hybrid cloud - from the OS platform, to software-defined storage, to development and deployment, and management. Through its work with Certified Cloud Service Providers like AWS, Red Hat ensures that application containers built for Red Hat Enterprise Linux can seamlessly move across public clouds. In this session, you will learn how Duke University used containers on Red Hat Enterprise Linux and AWS to combat a denial-of-service attack; how companies are using containers to increase the quality and speed of software delivery; key considerations for implementing container-based applications that can be moved across public clouds; and challenges organizations experience when using containers and how to address them. This session is sponsored by Red Hat.
Dockerized containers are the current wave that promising to revolutionize IT. Everybody is talking about containers, but a lot of people remain confused on how they work and why they are different or better than virtual machines. In this session, Black Duck container and virtualization expert Tim Mackey will demystify containers, explain their core concepts, and compare and contrast them with the virtual machine architectures that have been the staple of IT for the last decade.
Docker is a tool designed to make it easier to create, deploy, and run applications
by using containers. Containers allow a developer to package up
an application with all of the parts it needs, such as libraries and other dependencies,
and ship it all out as one package. By doing so, thanks to the
container, the developer can rest assured that the application will run on
any other Linux machine regardless of any customized settings that machine
might have that could differ from the machine used for writing and testing
the code.
In a way, Docker is a bit like a virtual machine. But unlike a virtual
machine, rather than creating a whole virtual operating system, Docker allows
applications to use the same Linux kernel as the system that they’re
running on and only requires applications be shipped with things not already
running on the host computer. This gives a significant performance boost
and reduces the size of the application.
Similar to Finding Your Way in Container Security (20)
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.