This document provides instructions for configuring and using a Box connector in Mule to authorize with a Box developer account, get folder item details from Box in JSON format, and then unauthorize from Box. The flow authorizes with Box using the client ID and secret, gets folder items details, transforms the result to JSON, logs the payload, and then unauthorizes from Box. Source code is provided to configure the Box connector and create a flow to perform these actions.
This document outlines the integration between DevSuite and a community web server.
1) DevSuite stores project and document data that needs to be synced to the web server. A sync service handles uploading changed data from DevSuite databases to the web server.
2) The admin configures settings like the community URL and sync log levels. Documents checked into DevSuite are uploaded by the sync service.
3) The sync service monitors for changes in DevSuite databases and uploads new/updated documents and data to the web server using Kloud APIs. iPads can also download documents from the web server.
This document compares Google Container Engine (GKE) and OpenStack Magnum. It summarizes that while Magnum provides container orchestration using Kubernetes similar to GKE, it has some usability disadvantages compared to GKE due to being integrated with OpenStack. The document demonstrates using Magnum and GKE to deploy similar Kubernetes clusters and discusses some areas Magnum could improve like integrating additional OpenStack services and improving node management capabilities.
This document provides an introduction to Google Cloud Platform services including Google Cloud Storage, Cloud SQL, BigQuery, and Compute Engine. It includes steps to get started with each service through tutorials and labs. The document demonstrates how to create buckets and load data to Cloud Storage, set up databases in Cloud SQL, load CSV data to BigQuery, and create virtual machines on Compute Engine along with networking configurations. Quick start links are also provided for each service.
Ci/CD - Stop wasting time, Automate your deploymentsJerry Jalava
- Using CI/CD (continuous integration and continuous delivery) automates deployments and saves time and money while improving reliability.
- There are multiple CI/CD tool options with different capabilities for source code management, target systems like Kubernetes, and deployment approaches. Consider your specific code, infrastructure, and deployment needs.
- Google Cloud Build is demonstrated for automating builds, tests, and deployments to Cloud Run and Kubernetes Engine from source code in a Git repository with triggers on code changes.
Install Kubernetes Cluster on Azure Platform using kubesprayVAIBHAV GUPTA
A step by step guide to Install Kubernetes Cluster on Azure Platform using kubespray. I hope It will help to people who want to work on kubernetes on azure platform.
DevOpsDaysRiga 2018: Andrew Martin - Continuous Kubernetes Security DevOpsDays Riga
Now that we have passed “peak orchestrator” and as Kubernetes eats the world, we are left wondering: how secure is Kubernetes? Can we really run Google-style multi tenanted infrastructure safely? And how can we be sure what we configured yesterday will be in place tomorrow? In this talk we discuss: - the Kubernetes security landscape - risks, security models, and configuration best-practices - how to configure users and applications with least-privilege - how to isolate and segregate workloads and networks - hard and soft multi-tenancy - Continuous Security approaches to Kubernetes.
Learn how to get Kubernetes up and running on Google Cloud Platform with GKE. Go over why you should use Kubernetes, and why using a managed service like GKE is important. After that we will go over how to deploy both simple and advanced applications to your cluster.
This document provides instructions for configuring and using a Box connector in Mule to authorize with a Box developer account, get folder item details from Box in JSON format, and then unauthorize from Box. The flow authorizes with Box using the client ID and secret, gets folder items details, transforms the result to JSON, logs the payload, and then unauthorizes from Box. Source code is provided to configure the Box connector and create a flow to perform these actions.
This document outlines the integration between DevSuite and a community web server.
1) DevSuite stores project and document data that needs to be synced to the web server. A sync service handles uploading changed data from DevSuite databases to the web server.
2) The admin configures settings like the community URL and sync log levels. Documents checked into DevSuite are uploaded by the sync service.
3) The sync service monitors for changes in DevSuite databases and uploads new/updated documents and data to the web server using Kloud APIs. iPads can also download documents from the web server.
This document compares Google Container Engine (GKE) and OpenStack Magnum. It summarizes that while Magnum provides container orchestration using Kubernetes similar to GKE, it has some usability disadvantages compared to GKE due to being integrated with OpenStack. The document demonstrates using Magnum and GKE to deploy similar Kubernetes clusters and discusses some areas Magnum could improve like integrating additional OpenStack services and improving node management capabilities.
This document provides an introduction to Google Cloud Platform services including Google Cloud Storage, Cloud SQL, BigQuery, and Compute Engine. It includes steps to get started with each service through tutorials and labs. The document demonstrates how to create buckets and load data to Cloud Storage, set up databases in Cloud SQL, load CSV data to BigQuery, and create virtual machines on Compute Engine along with networking configurations. Quick start links are also provided for each service.
Ci/CD - Stop wasting time, Automate your deploymentsJerry Jalava
- Using CI/CD (continuous integration and continuous delivery) automates deployments and saves time and money while improving reliability.
- There are multiple CI/CD tool options with different capabilities for source code management, target systems like Kubernetes, and deployment approaches. Consider your specific code, infrastructure, and deployment needs.
- Google Cloud Build is demonstrated for automating builds, tests, and deployments to Cloud Run and Kubernetes Engine from source code in a Git repository with triggers on code changes.
Install Kubernetes Cluster on Azure Platform using kubesprayVAIBHAV GUPTA
A step by step guide to Install Kubernetes Cluster on Azure Platform using kubespray. I hope It will help to people who want to work on kubernetes on azure platform.
DevOpsDaysRiga 2018: Andrew Martin - Continuous Kubernetes Security DevOpsDays Riga
Now that we have passed “peak orchestrator” and as Kubernetes eats the world, we are left wondering: how secure is Kubernetes? Can we really run Google-style multi tenanted infrastructure safely? And how can we be sure what we configured yesterday will be in place tomorrow? In this talk we discuss: - the Kubernetes security landscape - risks, security models, and configuration best-practices - how to configure users and applications with least-privilege - how to isolate and segregate workloads and networks - hard and soft multi-tenancy - Continuous Security approaches to Kubernetes.
Learn how to get Kubernetes up and running on Google Cloud Platform with GKE. Go over why you should use Kubernetes, and why using a managed service like GKE is important. After that we will go over how to deploy both simple and advanced applications to your cluster.
Community Day will be held on September 25, 2022 at Hotel Vigyashree in Bhopal. The speaker, Aditya Shah from Incsub LLC, will discuss using the Google Cloud CLI for better control, navigation, speed, memory usage, and automation compared to the GUI. Attendees will learn how to install, authenticate, configure, and use the CLI to list, create, and delete virtual machines on Google Cloud.
About docker cluster management tools
1. Base concepts of cluster
management and docker
2. Docker Swarm
3. Amazon EC2 Container Service
4. Kubernetes
5. Mesosphere
This document discusses connecting a Raspberry Pi to Google Cloud services like Cloud IoT Core and Cloud Pub/Sub. It provides steps to install the Google Cloud SDK on the Raspberry Pi, register a device in Cloud IoT Core, and use an MQTT client on the Raspberry Pi to publish sensor data to Cloud Pub/Sub. The document also introduces Google Cloud Messaging architecture and services in the Google Cloud IoT platform.
Shopping for Vulnerabilities - How Cloud Service Provider Marketplaces can He...Tenchi Security
Slides of the talk presented at DEF CON Cloud Village on August 12th, 2022 by Alexandre Sieira. Contains research content from Glaysson Tomaz and Marcelo Lima as well.
Recently the Conti ransomware group internal chat leaks was fascinating reading. Among other things, it reminded us that both well-intentioned and malicious actors are constantly trying to find ways to find vulnerabilities and develop exploits to widely used IT products. This is particularly true those that are externally exposed firewalls, VPNs and load balancers, or security products that might thwart their techniques and tools.
The timeline from the chats seems to show a gap of several months between Conti members trying to procure either appliances or commercial software that they were trying to get for these purposes. This got us thinking about how the major cloud service providers these days have marketplaces where you can easily buy virtual appliances or SaaS licenses for lots of widely used IT and security products with little more than a valid credit card, in minutes. And we decided to check how feasible it is to use this to conduct vulnerability research.
In this presentation we will show what kind of access one can get to the internals of IT and security products using these marketplaces, particularly in the case of products only typically offered in hardware appliances. Which cloud providers try to prevent this sort of activity, how they do it, which ones simply don't care, and what techniques we were able to use to access these appliance's internals.
The objective here is threefold: 1) help well intentioned vulnerability researchers find an easier avenue to do their work; 2) allow cloud providers to get a better understanding of how their marketplaces can be abused and which controls they could implement to mitigate that risk, and 3) let IT and security vendors realize the added exposure of publishing their products on these marketplaces.
Shopping for Vulnerabilities - How Cloud Service Provider Marketplaces can He...Alexandre Sieira
This document discusses how cloud service provider marketplaces can help with white hat and black hat vulnerability research. It provides examples of analyzing images from AWS Marketplace, Azure Marketplace, and Google Cloud Marketplace. The key findings are that AWS Marketplace most strongly protects seller intellectual property, while Azure and GCP Marketplaces have advantages for security researchers by allowing low-cost access and analysis of listed products with few restrictions. The document cautions that legal risks must be considered before conducting any security research activities.
Top 3 reasons why you should run your Enterprise workloads on GKESreenivas Makam
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Earth Engine on Google Cloud Platform (GCP)Runcy Oommen
This document provides an overview of using Earth Engine and Google Cloud Platform. It discusses how to get started with GCP and use command line tools like gcloud, gsutil, and earthengine to manage assets, files, buckets, and permissions. It also describes how to export Earth Engine data like images, tables, videos, and map tiles directly to Cloud Storage for further use or sharing.
Google Compute Engine allows users to launch and manage virtual machine instances on Google's infrastructure. Key features include quotas on resources, creation of instances specifying zone, machine type, and boot options. The Google Cloud SDK and gcutil command can be used to automate tasks like creating instances. Startup scripts enable running custom commands when an instance boots. Backups can be done using disk snapshots, images, or by bundling a disk. VPN services can also be set up on Google Compute Engine using OpenVPN.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
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Incredibly powerful and flexible, Kubernetes role-based access control (RBAC) is an essential tool to effectively manage production clusters. Yet many Ops and DevOps engineers are still facing barriers to efficiently use it at scale. These include a steep learning curve, YAML-based configuration, lack of standardized best practices, and the general complexity of this functionality at large -- it truly can be somewhat overwhelming.
During this meetup Oleg, CTO at Kublr, will discuss Kubernetes RBAC concepts and objects. He'll explore different use cases ranging from simple permission management for in-cluster application accounts to integrations with external identity providers for SSO and enterprise user access management.
Leveraging the Kublr Platform, Oleg will demonstrate how it simplifies the management of access and RBAC rules in a cloud native environment while staying vendor-independent and compatible with any Kubernetes distribution.
The document outlines a 30-day Google Cloud program for university students to prepare them for cloud careers. It includes two tracks: Cloud Engineering and Data Science & Machine Learning. The Cloud Engineering track covers foundational infrastructure tasks like deploying and managing cloud environments and Kubernetes. It also covers networking and security. The Data Science track covers data, machine learning, and AI tasks to prepare students for roles in data and business. Completing the tracks earns students participation certificates, skill badges, and prizes like t-shirts and laptop bags. The document provides an agenda for an introductory session that orients students to Google Cloud and walks through several hands-on labs.
Idea to Production - with Gitlab and KubernetesSimon Dittlmann
Setting up a continuous delivery pipeline form scratch with gitlab.com and Kubernetes (Google Container Service GKE) on Google Cloud Platform.
The entire source code is available at https://github.com/Pindar/gcloud-k8s-express-app
Blog post https://www.itnotes.de/gitlab/kubernetes/k8s/gke/gcloud/2017/03/05/idea-to-production-with-gitlab-and-kubernetes/
ClickHouse on Kubernetes, by Alexander Zaitsev, Altinity CTOAltinity Ltd
The document discusses Altinity and their ClickHouse operator for Kubernetes. Altinity provides software and services for ClickHouse including 24/7 support, Kubernetes software, and training. The ClickHouse operator allows users to deploy and manage ClickHouse clusters on Kubernetes through declarative YAML configurations. It handles complex tasks like provisioning, networking, and persistence so that ClickHouse can be easily deployed and managed on Kubernetes.
This document provides an agenda and instructions for learning Kubernetes in 90 minutes. The agenda includes exercises on running a first web service in Kubernetes, revisiting pods, deployments and services, deploying with YAML files, and installing a microservices application called Guestbook. Key Kubernetes concepts covered include pods, deployments, services, YAML descriptors, and using deployments to scale applications. The document also provides background on containers, Docker, and the Kubernetes architecture.
Comandos - Evento - Virtual Lab Despliegue de aplicaciones en KubernetesJulio Pari
This document provides instructions for completing a lab tutorial on getting started with IBM Cloud container services. It includes steps to check version numbers for required tools, clone a GitHub repository, log in to IBM Cloud, build and push a Docker image, configure a Kubernetes cluster, deploy a sample application, and expose it via a service. The lab is split into two parts - the first focuses on building and pushing a container image, while the second covers deploying it on Kubernetes and making the application accessible.
Using Deployment Manager and YAML/JINJA templates, this document provides steps to deploy VM instances across different regions along with associated firewall rules and networking resources on GCP. Key steps include creating YAML and JINJA template files defining the infrastructure resources and properties, previewing the deployment, correcting any errors, and running the actual deployment. Templates allow infrastructure to be defined declaratively and deployed consistently rather than manually creating each resource individually on the GCP console.
Vincent Ruijter - ~Securing~ Attacking Kuberneteshacktivity
This talks' focus lays on a popular containerization tool called Kubernetes. Common implementations of Kubernetes are not secure by default and a lot of information about hardening is not known to the public. Since version 1.7 the security level has increased and common security misconfigurations have been mitigated. During this talk it will be demonstrated what happens if these mitigations are not applied and how to abuse them. The talk will be about both securing and attacking the platform and could be considered a 'purple team' talk. Multiple live demos are planned, most of them ending in a guest-to-host escape and a root shell.
This document discusses various ways to interface Apache CloudStack with other cloud platforms like AWS and GCE. It provides examples of using CloudStack's native AWS and GCE interfaces to manage resources on those platforms. It concludes that CloudStack has a strong API and ecosystem for building hybrid cloud solutions, and coverage of the AWS API is expanding.
Using Sentry for error collection and analysis in a distributed system - Yevg...Kuberton
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Microservices add complexity to monitoring that was not present with monolithic architectures. While microservices provide benefits, they also introduce significant monitoring challenges around communication between services. Prometheus has emerged as a powerful open source solution for monitoring microservices as it was designed to address issues of scale and flexibility that monitoring microservices requires.
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About docker cluster management tools
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Shopping for Vulnerabilities - How Cloud Service Provider Marketplaces can He...Tenchi Security
Slides of the talk presented at DEF CON Cloud Village on August 12th, 2022 by Alexandre Sieira. Contains research content from Glaysson Tomaz and Marcelo Lima as well.
Recently the Conti ransomware group internal chat leaks was fascinating reading. Among other things, it reminded us that both well-intentioned and malicious actors are constantly trying to find ways to find vulnerabilities and develop exploits to widely used IT products. This is particularly true those that are externally exposed firewalls, VPNs and load balancers, or security products that might thwart their techniques and tools.
The timeline from the chats seems to show a gap of several months between Conti members trying to procure either appliances or commercial software that they were trying to get for these purposes. This got us thinking about how the major cloud service providers these days have marketplaces where you can easily buy virtual appliances or SaaS licenses for lots of widely used IT and security products with little more than a valid credit card, in minutes. And we decided to check how feasible it is to use this to conduct vulnerability research.
In this presentation we will show what kind of access one can get to the internals of IT and security products using these marketplaces, particularly in the case of products only typically offered in hardware appliances. Which cloud providers try to prevent this sort of activity, how they do it, which ones simply don't care, and what techniques we were able to use to access these appliance's internals.
The objective here is threefold: 1) help well intentioned vulnerability researchers find an easier avenue to do their work; 2) allow cloud providers to get a better understanding of how their marketplaces can be abused and which controls they could implement to mitigate that risk, and 3) let IT and security vendors realize the added exposure of publishing their products on these marketplaces.
Shopping for Vulnerabilities - How Cloud Service Provider Marketplaces can He...Alexandre Sieira
This document discusses how cloud service provider marketplaces can help with white hat and black hat vulnerability research. It provides examples of analyzing images from AWS Marketplace, Azure Marketplace, and Google Cloud Marketplace. The key findings are that AWS Marketplace most strongly protects seller intellectual property, while Azure and GCP Marketplaces have advantages for security researchers by allowing low-cost access and analysis of listed products with few restrictions. The document cautions that legal risks must be considered before conducting any security research activities.
Top 3 reasons why you should run your Enterprise workloads on GKESreenivas Makam
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Earth Engine on Google Cloud Platform (GCP)Runcy Oommen
This document provides an overview of using Earth Engine and Google Cloud Platform. It discusses how to get started with GCP and use command line tools like gcloud, gsutil, and earthengine to manage assets, files, buckets, and permissions. It also describes how to export Earth Engine data like images, tables, videos, and map tiles directly to Cloud Storage for further use or sharing.
Google Compute Engine allows users to launch and manage virtual machine instances on Google's infrastructure. Key features include quotas on resources, creation of instances specifying zone, machine type, and boot options. The Google Cloud SDK and gcutil command can be used to automate tasks like creating instances. Startup scripts enable running custom commands when an instance boots. Backups can be done using disk snapshots, images, or by bundling a disk. VPN services can also be set up on Google Compute Engine using OpenVPN.
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During this meetup Oleg, CTO at Kublr, will discuss Kubernetes RBAC concepts and objects. He'll explore different use cases ranging from simple permission management for in-cluster application accounts to integrations with external identity providers for SSO and enterprise user access management.
Leveraging the Kublr Platform, Oleg will demonstrate how it simplifies the management of access and RBAC rules in a cloud native environment while staying vendor-independent and compatible with any Kubernetes distribution.
The document outlines a 30-day Google Cloud program for university students to prepare them for cloud careers. It includes two tracks: Cloud Engineering and Data Science & Machine Learning. The Cloud Engineering track covers foundational infrastructure tasks like deploying and managing cloud environments and Kubernetes. It also covers networking and security. The Data Science track covers data, machine learning, and AI tasks to prepare students for roles in data and business. Completing the tracks earns students participation certificates, skill badges, and prizes like t-shirts and laptop bags. The document provides an agenda for an introductory session that orients students to Google Cloud and walks through several hands-on labs.
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Setting up a continuous delivery pipeline form scratch with gitlab.com and Kubernetes (Google Container Service GKE) on Google Cloud Platform.
The entire source code is available at https://github.com/Pindar/gcloud-k8s-express-app
Blog post https://www.itnotes.de/gitlab/kubernetes/k8s/gke/gcloud/2017/03/05/idea-to-production-with-gitlab-and-kubernetes/
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This document provides an agenda and instructions for learning Kubernetes in 90 minutes. The agenda includes exercises on running a first web service in Kubernetes, revisiting pods, deployments and services, deploying with YAML files, and installing a microservices application called Guestbook. Key Kubernetes concepts covered include pods, deployments, services, YAML descriptors, and using deployments to scale applications. The document also provides background on containers, Docker, and the Kubernetes architecture.
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This talks' focus lays on a popular containerization tool called Kubernetes. Common implementations of Kubernetes are not secure by default and a lot of information about hardening is not known to the public. Since version 1.7 the security level has increased and common security misconfigurations have been mitigated. During this talk it will be demonstrated what happens if these mitigations are not applied and how to abuse them. The talk will be about both securing and attacking the platform and could be considered a 'purple team' talk. Multiple live demos are planned, most of them ending in a guest-to-host escape and a root shell.
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Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
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.
How to grant permission to your Kubernetes cluster for another users. - Stanislav Kolenkin
1.
2. How to grant permission to your
Kubernetes cluster for another users.
3. 1. Open Google console using the following link:
https://console.cloud.google.com/iam-admin/iam
4. 2. Enter button +Add and add user and Grant Permissions
on GKE
3. Input user Gmail accounts in field “New members” and
Select Kubernetes role:
4. Enter button Save