Tempest provides scenario tests that test integration between multiple OpenStack services by executing sequences of operations. Current scenario tests cover operations like boot instances, attach volumes, manage snapshots and check network connectivity. Running scenario tests helps operators validate their cloud and developers check for regressions. While useful, scenario tests have issues like needing more test coverage, complex configuration, and difficulty analyzing failures. The future includes making scenario tests easier to use without command line skills and more flexible in specifying test environments.
Whatthestack using Tempest for testing your OpenStack deploymentChristian Schwede
1) The presenters introduce WhatTheStack, a web application that allows users to easily run the Tempest deployment testing framework on their OpenStack deployments without needing to install anything.
2) Tempest is used to test and verify the functionality and API behavior of OpenStack deployments. WhatTheStack simplifies running Tempest by allowing users to enter their OpenStack credentials through a web interface and receive a summary of the test results.
3) Behind the scenes, WhatTheStack encrypts the OpenStack credentials, runs a subset of the Tempest tests via a worker, decrypts the results, and displays a summarized report of the tests by service, such as which passed and failed. This allows automated, independent testing of
Tempest is an Openstack test suite which runs against all the OpenStack service endpoints. It makes sure that all the OpenStack components work together properly and that no APIs are changed. Tempest is a "gate" for all commits to OpenStack repositories and will prevent merges if tests fail.
HKG15-204: OpenStack: 3rd party testing and performance benchmarkingLinaro
HKG15-204: OpenStack: 3rd party testing and performance benchmarking
---------------------------------------------------
Speaker: Andrew McDermott, Clark Laughlin
Date: February 10, 2015
---------------------------------------------------
★ Session Summary ★
Status of Tempest 3rd party testing, discussion on scenarii for Rally benchmarking and hypervisor performance.
--------------------------------------------------
★ Resources ★
Pathable: https://hkg15.pathable.com/meetings/250785
Video: https://www.youtube.com/watch?v=-00rTPCYAyg
Etherpad: http://pad.linaro.org/p/hkg15-204
---------------------------------------------------
★ Event Details ★
Linaro Connect Hong Kong 2015 - #HKG15
February 9-13th, 2015
Regal Airport Hotel Hong Kong Airport
---------------------------------------------------
http://www.linaro.org
http://connect.linaro.org
Tempest is the OpenStack integration test suite. It uses unittest and nosetest frameworks to run API calls against OpenStack services like Nova, Glance, Keystone, etc. and validate the responses. Tempest tests include smoke, positive, negative, stress and white box tests. It has a modular structure with common, services, and tests directories. Tempest plays an important role in OpenStack continuous integration by running on proposed code changes to check for regressions.
Here are the basic steps to download the latest version of DevStack:
1. Install Git:
- On Ubuntu/Debian: `sudo apt-get install git`
- On CentOS/RHEL: `sudo yum install git`
2. Clone the DevStack repository:
`git clone https://git.openstack.org/openstack-dev/devstack`
3. Change to the DevStack directory:
`cd devstack`
4. Checkout the latest stable branch (e.g. stable/ussuri):
`git checkout stable/ussuri`
5. Download the latest code:
`git pull`
This will download the latest version
This document discusses benchmarking OpenStack at scale using Rally. Rally allows OpenStack developers and operators to generate relevant and repeatable benchmarking data on how their cloud operates under different workloads and levels of load. It provides examples of synthetic stress tests and real-life workload scenarios that can be used for benchmarking. The goals of Rally are to help identify performance bottlenecks, validate optimizations, and provide historical data for comparing cloud performance over time as OpenStack and deployments evolve.
Openstack Rally - Benchmark as a Service. Openstack Meetup India. Ananth/Rahul.Rahul Krishna Upadhyaya
Slide deck used at the presentation at Openstack India Meetup on 01/March 2014 at Netapp, Bangalore. Slide talks about installation and use of Rally and its scope to benchmark and measure performance. There is little on how to install Cisco Openstack as a All in One setup.
Whatthestack using Tempest for testing your OpenStack deploymentChristian Schwede
1) The presenters introduce WhatTheStack, a web application that allows users to easily run the Tempest deployment testing framework on their OpenStack deployments without needing to install anything.
2) Tempest is used to test and verify the functionality and API behavior of OpenStack deployments. WhatTheStack simplifies running Tempest by allowing users to enter their OpenStack credentials through a web interface and receive a summary of the test results.
3) Behind the scenes, WhatTheStack encrypts the OpenStack credentials, runs a subset of the Tempest tests via a worker, decrypts the results, and displays a summarized report of the tests by service, such as which passed and failed. This allows automated, independent testing of
Tempest is an Openstack test suite which runs against all the OpenStack service endpoints. It makes sure that all the OpenStack components work together properly and that no APIs are changed. Tempest is a "gate" for all commits to OpenStack repositories and will prevent merges if tests fail.
HKG15-204: OpenStack: 3rd party testing and performance benchmarkingLinaro
HKG15-204: OpenStack: 3rd party testing and performance benchmarking
---------------------------------------------------
Speaker: Andrew McDermott, Clark Laughlin
Date: February 10, 2015
---------------------------------------------------
★ Session Summary ★
Status of Tempest 3rd party testing, discussion on scenarii for Rally benchmarking and hypervisor performance.
--------------------------------------------------
★ Resources ★
Pathable: https://hkg15.pathable.com/meetings/250785
Video: https://www.youtube.com/watch?v=-00rTPCYAyg
Etherpad: http://pad.linaro.org/p/hkg15-204
---------------------------------------------------
★ Event Details ★
Linaro Connect Hong Kong 2015 - #HKG15
February 9-13th, 2015
Regal Airport Hotel Hong Kong Airport
---------------------------------------------------
http://www.linaro.org
http://connect.linaro.org
Tempest is the OpenStack integration test suite. It uses unittest and nosetest frameworks to run API calls against OpenStack services like Nova, Glance, Keystone, etc. and validate the responses. Tempest tests include smoke, positive, negative, stress and white box tests. It has a modular structure with common, services, and tests directories. Tempest plays an important role in OpenStack continuous integration by running on proposed code changes to check for regressions.
Here are the basic steps to download the latest version of DevStack:
1. Install Git:
- On Ubuntu/Debian: `sudo apt-get install git`
- On CentOS/RHEL: `sudo yum install git`
2. Clone the DevStack repository:
`git clone https://git.openstack.org/openstack-dev/devstack`
3. Change to the DevStack directory:
`cd devstack`
4. Checkout the latest stable branch (e.g. stable/ussuri):
`git checkout stable/ussuri`
5. Download the latest code:
`git pull`
This will download the latest version
This document discusses benchmarking OpenStack at scale using Rally. Rally allows OpenStack developers and operators to generate relevant and repeatable benchmarking data on how their cloud operates under different workloads and levels of load. It provides examples of synthetic stress tests and real-life workload scenarios that can be used for benchmarking. The goals of Rally are to help identify performance bottlenecks, validate optimizations, and provide historical data for comparing cloud performance over time as OpenStack and deployments evolve.
Openstack Rally - Benchmark as a Service. Openstack Meetup India. Ananth/Rahul.Rahul Krishna Upadhyaya
Slide deck used at the presentation at Openstack India Meetup on 01/March 2014 at Netapp, Bangalore. Slide talks about installation and use of Rally and its scope to benchmark and measure performance. There is little on how to install Cisco Openstack as a All in One setup.
Orchestration tool roundup - OpenStack Israel summit - kubernetes vs. docker...Uri Cohen
It’s no news that containers represent a portable unit of deployment, and OpenStack has proven an ideal environment for running container workloads. However, where it usually becomes more complex is that many times an application is often built out of multiple containers. What’s more, setting up a cluster of container images can be fairly cumbersome because you need to make one container aware of another and expose intimate details that are required for them to communicate which is not trivial especially if they’re not on the same host.
These scenarios have instigated the demand for some kind of orchestrator. The list of container orchestrators is growing fairly fast. This session will compare the different orchestation projects out there - from Heat to Kubernetes to TOSCA - and help you choose the right tool for the job.
The document discusses OpenStack QA tools used for production cloud testing. It describes tools like Tempest for API and scenario testing, Patrole for RBAC testing, Stackviz for analyzing DevStack performance, and the OpenStack Health dashboard for viewing test status. It explains how these tools like Tempest and Patrole can run tests simultaneously in multiple workspaces on a Cloud Health Node to test different OpenStack sites without needing to upgrade the node for each site upgrade. The dashboard provides a view of test results from across workspaces.
Enhancing OpenStack FWaaS for real world applicationopenstackindia
This document discusses enhancing the performance and capabilities of OpenStack's firewall-as-a-service (FWaaS). It proposes improvements to FWaaS performance by validating firewall rules and distributing rules only to relevant routers. It also discusses scheduling firewall rules based on time and enabling logging of firewall packets to help with debugging, threat analysis, and rule tuning. The document outlines integrating firewall logging with OpenStack using IPTables rules and collecting logs in a centralized server for analysis. Finally, it proposes extending the Horizon UI to make firewall logs accessible to tenants.
Puppet Camp Berlin 2015: Andrea Giardini | Configuration Management @ CERN: G...NETWAYS
In 2011, CERN decided to start using Puppet as main tool for development, machines configuration and provisioning as replacement of Quattor.
Since then the infrastructure has changed a lot, the "Agile infrastructure" project evolved is a series of tools and softwares that currently allow more than 10.000 nodes to be configured and provisioned following custom definitions.
Foreman, Git, Openstack and our homemade librarian Jens are only a few of the tools that will be described during the talk, that aims to give an overview about the current workflow for machines lifecycle at CERN.
This talk will cover how Puppet allows us to deal with several hundred of installations a day and, at the same time, provide highly customizable machine configurations for service owners.
Monitoring containerised apps creates a whole new set of challenges that traditional monitoring systems struggle with. In this talk, Brice Fernandes from Weaveworks will introduce and demo the open source Prometheus monitoring toolkit and its integration with Kubernetes. After this talk, you'll be able to use Prometheus to monitor your microservices on a Kubernetes cluster. We'll cover:
- An introduction to Kubernetes to manage containers;
- The monitoring maturity model;
- An overview of whitebox and blackbox monitoring;
- Monitoring with Prometheus;
- Using PromQL (the Prometheus Query Language) to monitor your app in a dynamic system
After explaining what problem Reactive Programming solves I will give an introduction to one implementation: RxJava. I show how to compose Observable without concurrency first and then with Scheduler. I finish the talk by showing examples of flow control and draw backs.
Inspired from https://www.infoq.com/presentations/rxjava-reactor and https://www.infoq.com/presentations/rx-service-architecture
Code: https://github.com/toff63/Sandbox/tree/master/java/rsjug-rx/rsjug-rx/src/main/java/rs/jug/rx
OpenStack Summit Vancouver: Lessons learned on upgradesFrédéric Lepied
Deploying OpenStack in production at any scale, upgrade support is one of the requirements to have a successful deployment. Without upgrade management, adeployment will have bugs and security issues from day 1. Also in longer term, it will miss the latest features that OpenStack offers.
Smart Testing: Catching More Bugs with Less Code Through Topology ShufflerOPNFV
Manuel Buil, SUSE, Dimitrios Markou, Intracom-Telecom
During the Danube release, SFC improved a lot its testing. Apart from adding new test cases, we focused on making them better following several good practices like making libraries more modular and reusable, apply python functionality to improve the integration and leveraging the new capabilities that functest was adding. Apart from that, we added a performance report for ODL which was appreciated by that community. One final challenge we needed to tackle was that SFC functionality was changing in regards to the compute host allocation scheme of the instances (topology). This led us to consider coverage of different topologies for our test cases. This extensive coverage was difficult to achieve, as the number of possible combinations grows combinatorially with the number of hosts and instances, exploding the testing time / resource requirements in the CI. Therefore we opted to use a time multiplexing scheme for our testing, where we test a different topology in every CI run (every day) from a predefined (and expandable) set of characteristic combinations. We would like to share all our experiences, learnings and ideas with the community so that we help other projects and get feedback or other ideas they might be doing which could be reusable for us
How to integrate_custom_openstack_services_with_devstackSławomir Kapłoński
DevStack is a tool used to quickly deploy OpenStack from source code for development and testing purposes. Plugins allow custom OpenStack services to be integrated with DevStack. A plugin contains scripts that are executed at different points during deployment to install and configure the custom service. Functions are provided to help with common tasks like installing packages or configuring services.
The document discusses best practices for testing Spark applications including setting up test environments for unit and integration testing Spark in both batch and streaming modes. It also covers performance testing Spark applications using Gatling, including developing a sample performance test for a word count Spark job run on Spark job server. Key steps for testing, code coverage, continuous integration and analyzing performance test results are provided.
LAVA (Linaro Automated Validation Architecture) is a system for automating testing of hardware and software. It includes several major components: the LAVA scheduler which submits test jobs; the LAVA dispatcher which runs tests; and the LAVA dashboard which displays test results. Tests are defined as Python classes that specify installation, execution, and result parsing steps. Custom tests can be integrated into LAVA and run on Linaro's hardware to validate images and kernels.
제4회 한국IBM과 함께하는 난공불락 오픈소스 인프라 세미나-RanchersTommy Lee
Rancher can be used to orchestrate containers and enable continuous delivery. The document discusses setting up a Rancher environment using Vagrant and VirtualBox for testing. It shows how to install Rancher server, add host pools, deploy sample services using Docker compose, and apply load balancing. Continuous delivery is important for improving release speed and reliability through practices like blue/green deployments and canary releases. Rancher provides tools for automated scaling, security, service discovery and other capabilities needed for container automation.
Marvin is a test framework for CloudStack written in Python that uses unittest to perform integration, API, virtual machine, storage pool, network, and database tests. It allows deploying test data centers, running test scripts, and logging results. Key components include libraries for common operations, utilities, and CloudStack-specific functions. Tests create individual accounts, ensure cleanup, and distinguish API and Python exceptions. Best practices include running smoke tests before merging new features and with a simulator to avoid a full cloud setup.
The document provides tips for OpenStack cloud transformation. It discusses (1) unifying CPU models on compute nodes for live migration, (2) clustering compute nodes by host aggregate, and (3) configuring options to slow down CPU during live migration for stability. Other tips include increasing HAProxy connection limits, enabling multiple network queues, implementing port level security, and ensuring adequate entropy for scale-out systems. The overall document offers best practices and configurations for improving performance and stability during OpenStack cloud transformations.
The document discusses using OpenStack Ironic to provision bare metal servers. Key points include:
- Ironic allows provisioning of physical servers alongside virtual instances managed by Nova.
- Commands are provided to enroll bare metal nodes in Ironic, create ports, validate and power on nodes, and deploy an image using Nova.
- Tips discuss issues with large-scale deployments, PXE boot, and driver/library conflicts.
The document discusses Cloudify, an open source platform for deploying, managing, and scaling complex multi-tier applications on cloud infrastructures. It introduces key concepts of Cloudify including topologies defined using TOSCA, workflows written in Python, policies defined in YAML, and how Cloudify ties various automation tools together across the deployment continuum. The document also provides demonstrations of uploading a blueprint to Cloudify and installing an application using workflows, and discusses how Cloudify collects logs, metrics and handles events during workflow execution.
Cloud Foundry on OpenStack - An Experience Report | anynines anynines GmbH
This document discusses experiences migrating from a rented VMware environment to a self-hosted OpenStack cloud and running Cloud Foundry on OpenStack. Some key points discussed include:
- Upgrades to OpenStack before the Grizzly release required a lot of manual work and could result in a full week of downtime for instances to be offline.
- The upcoming Havana to Icehouse upgrade aims for less than 30 minutes of downtime using Chef to automate configuration changes and testing upgrades on a separate OpenStack staging system.
- Random kernel panics, hardware outages, and other factors can kill VMs, so availability zones and aggregates can be used to spread VMs across disjunct networks/racks.
This document summarizes the VMware compute driver for Openstack. It provides initial support for provisioning virtual machines to ESXi hosts. The driver follows a one compute per host model and supports basic instance lifecycle operations. It also enables linking clones to reduce storage usage. Functionality was tested against an ESXi host and many common operations like provisioning, reboot, and delete were validated. The driver is being enhanced to support vCenter clusters and improve statistics accuracy.
Java and Containers: What's there to think about? | DevNation Tech TalkRed Hat Developers
Java poses some interesting challenges when running inside of a container. Is the default memory chosen based on the container limits or actual limits of the box? What does it mean to give a JVM a partial share of a processor? Does it ever make sense to run a parallel garbage collector on a single processor container? What are the issues with checkpointing a JVM that you don't have when checkpointing a more generic Linux container? Is GraalVM the right choice for my application? We'll explore these issues and more.
It shows all the main functionality of bugzilla useful for a tester.
It shows how to log-in, how to generate different types of report, How to submit a bug.
A use case models the interactions between external actors and a system to achieve goals. It captures functional requirements from the user's perspective and involves users in requirements gathering. A use case consists of actors and use cases, which describe a sequence of steps in the interaction. Scenarios provide specific examples of a use case. Use cases help test and communicate system functionality.
Orchestration tool roundup - OpenStack Israel summit - kubernetes vs. docker...Uri Cohen
It’s no news that containers represent a portable unit of deployment, and OpenStack has proven an ideal environment for running container workloads. However, where it usually becomes more complex is that many times an application is often built out of multiple containers. What’s more, setting up a cluster of container images can be fairly cumbersome because you need to make one container aware of another and expose intimate details that are required for them to communicate which is not trivial especially if they’re not on the same host.
These scenarios have instigated the demand for some kind of orchestrator. The list of container orchestrators is growing fairly fast. This session will compare the different orchestation projects out there - from Heat to Kubernetes to TOSCA - and help you choose the right tool for the job.
The document discusses OpenStack QA tools used for production cloud testing. It describes tools like Tempest for API and scenario testing, Patrole for RBAC testing, Stackviz for analyzing DevStack performance, and the OpenStack Health dashboard for viewing test status. It explains how these tools like Tempest and Patrole can run tests simultaneously in multiple workspaces on a Cloud Health Node to test different OpenStack sites without needing to upgrade the node for each site upgrade. The dashboard provides a view of test results from across workspaces.
Enhancing OpenStack FWaaS for real world applicationopenstackindia
This document discusses enhancing the performance and capabilities of OpenStack's firewall-as-a-service (FWaaS). It proposes improvements to FWaaS performance by validating firewall rules and distributing rules only to relevant routers. It also discusses scheduling firewall rules based on time and enabling logging of firewall packets to help with debugging, threat analysis, and rule tuning. The document outlines integrating firewall logging with OpenStack using IPTables rules and collecting logs in a centralized server for analysis. Finally, it proposes extending the Horizon UI to make firewall logs accessible to tenants.
Puppet Camp Berlin 2015: Andrea Giardini | Configuration Management @ CERN: G...NETWAYS
In 2011, CERN decided to start using Puppet as main tool for development, machines configuration and provisioning as replacement of Quattor.
Since then the infrastructure has changed a lot, the "Agile infrastructure" project evolved is a series of tools and softwares that currently allow more than 10.000 nodes to be configured and provisioned following custom definitions.
Foreman, Git, Openstack and our homemade librarian Jens are only a few of the tools that will be described during the talk, that aims to give an overview about the current workflow for machines lifecycle at CERN.
This talk will cover how Puppet allows us to deal with several hundred of installations a day and, at the same time, provide highly customizable machine configurations for service owners.
Monitoring containerised apps creates a whole new set of challenges that traditional monitoring systems struggle with. In this talk, Brice Fernandes from Weaveworks will introduce and demo the open source Prometheus monitoring toolkit and its integration with Kubernetes. After this talk, you'll be able to use Prometheus to monitor your microservices on a Kubernetes cluster. We'll cover:
- An introduction to Kubernetes to manage containers;
- The monitoring maturity model;
- An overview of whitebox and blackbox monitoring;
- Monitoring with Prometheus;
- Using PromQL (the Prometheus Query Language) to monitor your app in a dynamic system
After explaining what problem Reactive Programming solves I will give an introduction to one implementation: RxJava. I show how to compose Observable without concurrency first and then with Scheduler. I finish the talk by showing examples of flow control and draw backs.
Inspired from https://www.infoq.com/presentations/rxjava-reactor and https://www.infoq.com/presentations/rx-service-architecture
Code: https://github.com/toff63/Sandbox/tree/master/java/rsjug-rx/rsjug-rx/src/main/java/rs/jug/rx
OpenStack Summit Vancouver: Lessons learned on upgradesFrédéric Lepied
Deploying OpenStack in production at any scale, upgrade support is one of the requirements to have a successful deployment. Without upgrade management, adeployment will have bugs and security issues from day 1. Also in longer term, it will miss the latest features that OpenStack offers.
Smart Testing: Catching More Bugs with Less Code Through Topology ShufflerOPNFV
Manuel Buil, SUSE, Dimitrios Markou, Intracom-Telecom
During the Danube release, SFC improved a lot its testing. Apart from adding new test cases, we focused on making them better following several good practices like making libraries more modular and reusable, apply python functionality to improve the integration and leveraging the new capabilities that functest was adding. Apart from that, we added a performance report for ODL which was appreciated by that community. One final challenge we needed to tackle was that SFC functionality was changing in regards to the compute host allocation scheme of the instances (topology). This led us to consider coverage of different topologies for our test cases. This extensive coverage was difficult to achieve, as the number of possible combinations grows combinatorially with the number of hosts and instances, exploding the testing time / resource requirements in the CI. Therefore we opted to use a time multiplexing scheme for our testing, where we test a different topology in every CI run (every day) from a predefined (and expandable) set of characteristic combinations. We would like to share all our experiences, learnings and ideas with the community so that we help other projects and get feedback or other ideas they might be doing which could be reusable for us
How to integrate_custom_openstack_services_with_devstackSławomir Kapłoński
DevStack is a tool used to quickly deploy OpenStack from source code for development and testing purposes. Plugins allow custom OpenStack services to be integrated with DevStack. A plugin contains scripts that are executed at different points during deployment to install and configure the custom service. Functions are provided to help with common tasks like installing packages or configuring services.
The document discusses best practices for testing Spark applications including setting up test environments for unit and integration testing Spark in both batch and streaming modes. It also covers performance testing Spark applications using Gatling, including developing a sample performance test for a word count Spark job run on Spark job server. Key steps for testing, code coverage, continuous integration and analyzing performance test results are provided.
LAVA (Linaro Automated Validation Architecture) is a system for automating testing of hardware and software. It includes several major components: the LAVA scheduler which submits test jobs; the LAVA dispatcher which runs tests; and the LAVA dashboard which displays test results. Tests are defined as Python classes that specify installation, execution, and result parsing steps. Custom tests can be integrated into LAVA and run on Linaro's hardware to validate images and kernels.
제4회 한국IBM과 함께하는 난공불락 오픈소스 인프라 세미나-RanchersTommy Lee
Rancher can be used to orchestrate containers and enable continuous delivery. The document discusses setting up a Rancher environment using Vagrant and VirtualBox for testing. It shows how to install Rancher server, add host pools, deploy sample services using Docker compose, and apply load balancing. Continuous delivery is important for improving release speed and reliability through practices like blue/green deployments and canary releases. Rancher provides tools for automated scaling, security, service discovery and other capabilities needed for container automation.
Marvin is a test framework for CloudStack written in Python that uses unittest to perform integration, API, virtual machine, storage pool, network, and database tests. It allows deploying test data centers, running test scripts, and logging results. Key components include libraries for common operations, utilities, and CloudStack-specific functions. Tests create individual accounts, ensure cleanup, and distinguish API and Python exceptions. Best practices include running smoke tests before merging new features and with a simulator to avoid a full cloud setup.
The document provides tips for OpenStack cloud transformation. It discusses (1) unifying CPU models on compute nodes for live migration, (2) clustering compute nodes by host aggregate, and (3) configuring options to slow down CPU during live migration for stability. Other tips include increasing HAProxy connection limits, enabling multiple network queues, implementing port level security, and ensuring adequate entropy for scale-out systems. The overall document offers best practices and configurations for improving performance and stability during OpenStack cloud transformations.
The document discusses using OpenStack Ironic to provision bare metal servers. Key points include:
- Ironic allows provisioning of physical servers alongside virtual instances managed by Nova.
- Commands are provided to enroll bare metal nodes in Ironic, create ports, validate and power on nodes, and deploy an image using Nova.
- Tips discuss issues with large-scale deployments, PXE boot, and driver/library conflicts.
The document discusses Cloudify, an open source platform for deploying, managing, and scaling complex multi-tier applications on cloud infrastructures. It introduces key concepts of Cloudify including topologies defined using TOSCA, workflows written in Python, policies defined in YAML, and how Cloudify ties various automation tools together across the deployment continuum. The document also provides demonstrations of uploading a blueprint to Cloudify and installing an application using workflows, and discusses how Cloudify collects logs, metrics and handles events during workflow execution.
Cloud Foundry on OpenStack - An Experience Report | anynines anynines GmbH
This document discusses experiences migrating from a rented VMware environment to a self-hosted OpenStack cloud and running Cloud Foundry on OpenStack. Some key points discussed include:
- Upgrades to OpenStack before the Grizzly release required a lot of manual work and could result in a full week of downtime for instances to be offline.
- The upcoming Havana to Icehouse upgrade aims for less than 30 minutes of downtime using Chef to automate configuration changes and testing upgrades on a separate OpenStack staging system.
- Random kernel panics, hardware outages, and other factors can kill VMs, so availability zones and aggregates can be used to spread VMs across disjunct networks/racks.
This document summarizes the VMware compute driver for Openstack. It provides initial support for provisioning virtual machines to ESXi hosts. The driver follows a one compute per host model and supports basic instance lifecycle operations. It also enables linking clones to reduce storage usage. Functionality was tested against an ESXi host and many common operations like provisioning, reboot, and delete were validated. The driver is being enhanced to support vCenter clusters and improve statistics accuracy.
Java and Containers: What's there to think about? | DevNation Tech TalkRed Hat Developers
Java poses some interesting challenges when running inside of a container. Is the default memory chosen based on the container limits or actual limits of the box? What does it mean to give a JVM a partial share of a processor? Does it ever make sense to run a parallel garbage collector on a single processor container? What are the issues with checkpointing a JVM that you don't have when checkpointing a more generic Linux container? Is GraalVM the right choice for my application? We'll explore these issues and more.
It shows all the main functionality of bugzilla useful for a tester.
It shows how to log-in, how to generate different types of report, How to submit a bug.
A use case models the interactions between external actors and a system to achieve goals. It captures functional requirements from the user's perspective and involves users in requirements gathering. A use case consists of actors and use cases, which describe a sequence of steps in the interaction. Scenarios provide specific examples of a use case. Use cases help test and communicate system functionality.
EuroSTAR Software Testing Conference 2009 presentation on Incremental Scenario Testing by Mattias Ratert. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Requirements validation techniques (rv ts) practiced in industry studies of...JayabalanRajalakshmi
This thesis examines requirements validation techniques (RVTs) used in six companies. It conducted interviews to explore commonly used RVTs in both academia and industry. The interviews found that reviews were the most used RVT, with prototyping and testing also commonly used. The thesis analyzed the pros and cons of each RVT, and their effectiveness at catching defects. It compared RVT satisfaction and use between Swedish and Pakistani companies. The analysis found cultural differences in RVT selection and use between the two countries.
This document discusses networking monitoring and analytics tools in OpenStack. It proposes a comprehensive real-time and automated monitoring framework that is decoupled from virtual network configuration and focuses on operators. This framework would automatically notify operators of failures, effectively determine the point of failure during incidents using tools like virtual trace routes, and provide health reports to speed up failure detection and recovery. It demonstrates these capabilities using Ceilometer and Network Metering with DevStack.
Software requirement verification & validationAbdul Basit
The document discusses various techniques for requirements verification and validation including simple checks, prototyping, functional test design, user manual development, and reviews/inspections. It emphasizes that verification and validation should occur at every stage of requirements development from elicitation to specification to help ensure the delivered system meets client needs. Formal modeling and verification techniques can also help evaluate requirements specifications.
User Scenario based UI testing with KIFYusuke Kita
This document discusses using KIF for scenario-based UI testing on iOS. It introduces use case scenarios for navigating between screens and describes how to set accessibility labels and run actions in KIF tests. It also provides code snippets for capturing screenshots and creating GIFs from the tests.
Using Rally for OpenStack certification at ScaleBoris Pavlovic
It goes without saying that one of the most important things all OpenStack clouds from big to small is to be 100% sure that everything works as expected BEFORE taking on production workloads.
To ensure that production workloads will be successful, we can do a few key things:
1) Generate real load test from "real" OpenStack users
2) Collect and retain detailed execution data for examination and historical comparison
3) Measure workload performance and failure rate against established SLAs to validate a deployment
4) Visualize results in beautiful graphic detail
Rally can fully automate these steps for you and save dozens if not hundreds of hours.
Full talk you can find here:
https://www.youtube.com/watch?v=-g1tuTLcxik
This document provides an overview of OpenStack. It begins with session goals of making the audience familiar with OpenStack, its community and architecture. It then covers the history, terminology, services, architecture, installation methods and risks. Key components discussed include Nova (compute), Neutron (networking), Cinder (block storage), Swift (object storage), Glance (image repository), Keystone (identity), Horizon (dashboard) and Heat (orchestration). The document provides details on each component and the OpenStack project timeline.
Are We Done Yet ? Testing Your OpenStack DeploymentKen Pepple
After constructing your OpenStack cloud, it can be difficult to determine whether you've actually configured all the components correctly. OpenStack Rally and Tempest have been created to help run verification and benchmarking tests for you, but they themselves are difficult to configure and use. This session will explore creating an easy and repeatable process verification and benchmarking process for your OpenStack cloud. Drawing on experience from numerous customer installations, it will delve into the benefits and pitfalls of using specific tools and technologies to achieve your testing goals.
This presentation was given at the 2014 Fall OpenStack Summit. A recording of the presentation is available at https://www.openstack.org/summit/openstack-paris-summit-2014/session-videos/presentation/are-we-done-yet-testing-openstack-deployments .
Delivering Composable NFV Services for Business, Residential and Mobile EdgePLUMgrid
In this talk, Principal architects will share considerations in designing virtual infrastructure to deliver vCPE and vPE based services. The speakers will provide some background on service function chaining, service edge routing, Openstack clouds and discuss virtualized architectures that can solve Service Provider problems to achieve agility and richness of cloud based services
OpenStack Architected Like AWS (and GCP)Randy Bias
A description of how we built Open Cloud System (OCS), an OpenStack-powered complete cloud operating system. With a focus on AWS and GCE interoperability, we describe why hybrid cloud interoperability matters and how we got there. Anyone can do it and we think you should too.
SDN Scale-out Testing at OpenStack Innovation Center (OSIC)PLUMgrid
The OpenStack Innovation Center (OSIC), established by Intel and Rackspace, is created to accelerate adoption of open source cloud operating system while supporting open source principles. OSIC provides ready-to-use data center facilities to the OpenStack community for development and test. This case study presentation highlights a scale-out test performed within a 3 week period using OpenStack Ansible Community based on Liberty with an SDN overlay network connecting 131 nodes running over 1,000 VMs. Tempest and Rally tests were conducted to validate functions including high availability failure scenarios. Join this session to find out more about OSIC and the SDN scale-out test configuration, scenarios, and results.
This document discusses fundamentals, techniques, and assistance tools for validating requirements. It outlines the context and goals of requirements validation, including quality criteria to evaluate requirements against and risks of insufficient validation. The document presents principles of validation, such as involving stakeholders, separating defect detection from correction, leveraging multiple independent views, and using appropriate documentation formats. Validation techniques and assistance tools are also covered.
Ensuring OpenStack Version up Compatibility for CloudOpen Japan 2013-05-31Masayuki Igawa
These slides for CloudOpen Japan 2013 (05-31).
http://linuxconcloudopenjapan2013.sched.org/event/b0994396a7b878793f22cc4a0c5b27b7
And, you can download the same at http://events.linuxfoundation.jp/events/cloudopen-japan/program/presentations .
Meteor is a JavaScript platform for building mobile and web applications. It allows developers to use JavaScript on both the client and server, write code that is shared between client and server, and automatically syncs data between clients in real-time. The seven principles of Meteor are data on the wire, one language, database everywhere, latency compensation, full stack reactivity, embrace the ecosystem, and simplicity equals productivity. To get started with Meteor, install Node.js and Meteor, create an example app, and run it. File structure separates code by server, client, and common functionality.
Matt Tucker discusses how XMPP (Jabber) can be used for cloud services and architectures. Some key benefits of XMPP over traditional web services include its support for real-time bidirectional communication, presence, and easier firewall traversal. Open source XMPP servers like Openfire and client libraries provide tools to build scalable cloud components and services. Examples like Twitter's use of XMPP for its firehose API demonstrate how XMPP can enable new types of cloud applications.
Containerised Testing at Demonware : PyCon Ireland 2016Thomas Shaw
Thomas and James from Demonware discussed their company's evolution to using containers for testing. They started with "fat containers" containing all services, then separated services into containers defined in YAML files. Now they use Docker Swarm to run tests in scalable services across a cluster, addressing issues like limited resources and test parallelization. The talk provided an example of optimizing a testing pipeline through containerization.
This document discusses using Docker containers for continuous integration testing of Neutron plugins. It notes that testing all 38 Neutron vendor plugins is impossible, and outlines efforts to establish third-party CI rules. It then describes problems with using virtual machines for testing, such as slow startup times and performance issues. As an alternative, it proposes running OpenStack on Docker containers to allow running tests in isolated, disposable environments. It details fixes needed to run OpenStack with Docker and use Neutron ML2 plugins. Jenkins would launch test scripts within containers, binding host volumes to easily access logs. This allows Neutron API tests to be run in parallel across container instances.
Linaro has enabled server class workloads for ARM servers by optimizing key open source software. They have contributed patches to projects like the Linux kernel, KVM, Xen, OpenJDK, Hadoop, and OpenStack. This has allowed OpenStack to run on ARMv8 hardware, with all applicable Tempest tests passing. Linaro is also working on optimizations for server workloads like the LAMP stack, HDFS, and HipHop JIT. Their efforts are helping to accelerate ARM's adoption in the server market.
Distributed application usecase on dockerHiroshi Miura
1) The document discusses using Docker containers and the Hinemos monitoring system to automate operations for a distributed application running on container clusters.
2) Key benefits outlined include automated rebalancing of containers for performance and cost reduction, reduced downtime through automated fallback from failures, and consolidation of platforms through wrapping differences in container images.
3) Challenges addressed include complex data distribution management and inability to integrate environments for applications with different dependencies, which Docker containers help solve.
Level Up Your Integration Testing With TestcontainersVMware Tanzu
The document discusses Testcontainers, a Java library that makes it easy to create lightweight, disposable Docker containers to support integration testing. Testcontainers allows developers to start containers for databases, browsers, and other services via simple annotations and eliminates the need to manage complex Docker configurations and container lifecycles manually. It integrates with JUnit and handles starting a new container before each test and cleaning it up afterwards, improving testing fidelity by mimicking production environments.
Parallelizing CI using Docker Swarm-ModeAkihiro Suda
Presented at Open Source Summit Japan (http://sched.co/AOmo)
- - -
Slowness of CI is a critical issue in software development, because it discourages engineers from writing tests, and hence deteriorates the quality of the product.
In this presentation, Akihiro Suda will talk about how to accelerate CI by executing test functions in parallel, across a Docker Swarm-mode cluster.
One of the major challenges was the nonuniformity of the makespan. e.g. some chunk of test functions can take 30 minutes, some chunk can take just 10 seconds...
So, he mitigates such a nonuniformity by randomizing the composition of chunks of test functions.
As a result, for example, the integration test of Docker itself that had taken more than 80 minutes can be finished in 4 minutes, with 10 Docker Swarm-mode nodes.
This hack can be easily applied to CI of other software as well.
Devfest 2023 - Service Weaver Introduction - Taipei.pdfKAI CHU CHUNG
In modern software development, decentralized applications are increasingly common. Decentralized applications can split applications into multiple independent services, each service can be developed, deployed and managed independently.
Service Weaver is a decentralized application development framework provided by Google Cloud. It helps you develop, deploy and manage decentralized applications easily.
In this session, Google Cloud developer expert Kai-Chu Chung will introduce the basic concepts and usage of Service Weaver.
Spring boot microservice metrics monitoringOracle Korea
This document summarizes a presentation on monitoring microservices with Spring Boot. It discusses evolving architectures from monolithic to microservices and challenges in microservices. It then covers different monitoring techniques like metrics, tracing and logging. It provides an overview of tools like Prometheus, Grafana, Spring Boot Admin, Eureka and Consul for monitoring microservices. Finally, it outlines hands-on labs to set up monitoring of a sample application with different tool combinations.
Spring Boot - Microservice Metrics MonitoringDonghuKIM2
마이크로서비스 아키텍쳐에서의 분산된 서비스간의 모니터링 방법을 소개합니다.
- Microservice Monitoring with Service Discovery (Eureka) Spring Boot Admin
- Microservice Monitoring with Service Discovery (Consul), Prometheus, Grafana
https://jeeconf.com/program/containerising-bootiful-microservices/
Presentation on how we implemented Kubernetes and Jenkins to deploy and keep running Spring Cloud Netflix based microservices in private cloud.
Overview of decision made about technology stack, testing strategy, tools and infrastructure components, continuous delivery/deployment pipelines and some implementation details and issues met.
On-Demand Image Resizing Extended - External Meet-upJonathan Lee
From part of the monolith to containerized micro-service.
Slides from my presentation at DockerCon 2017 on our migration from an in-house image resizing solution in PHP / Imagemagick to leveraging Docker and an open source third party solution.
http://thumbor.org/
https://www.docker.com/
https://docs.docker.com/engine/swarm/
Join this workshop and accelerate your journey to production-ready Kubernetes by learning the practical techniques for reliably operating your software lifecycle using the GitOps pattern. The Weaveworks team will be running a full-day workshop, sharing their expertise as users and contributors of Kubernetes and Prometheus, as well as followers of GitOps (operations by pull request) practices.
Using a combination of instructor led demonstrations and hands-on exercises, the workshop will enable the attendee to go into detail on the following topics:
• Developing and operating your Kubernetes microservices at scale
• DevOps best practices and the movement towards a “GitOps” approach
• Building with Kubernetes in production: caring for your apps, implementing CI/CD best practices, and utilizing the right metrics, monitoring tools, and automated alerts
• Operating Kubernetes in production: Upgrading and managing Kubernetes, managing incident response, and adhering to security best practices for Kubernetes
Kubernetes vs dockers swarm supporting onap oom on multi-cloud multi-stack en...Arthur Berezin
Kubernetes vs Dockers Swarm supporting ONAP-OOM on multi-cloud multi-stack environment
Description: ONAP was set originally to support multiple container platform and cloud through TOSCA. In R1 ONAP and OOM is dependent completely on Kubernetes. As there are other container platforms such as Docker Swarm that are gaining more wider adoption as a simple alternative to Kubernetes. In addition operator may need the flexibility to choose their own container platform and be open for future platform. We need to weight the alternatives and avoid using package managers as Helm that makes K8s mandatory.
The use of TOSCA in conjunction with Kubernetes provides that "happy medium" where on one hand we can leverage Kubernetes to a full extent while at the same time be open to other alternative. In this workshop, we will compare Kubernetes with Docker Swarm and walk through an example of how ONAP can be set to support both platforms using TOSCA.
This document discusses integrating VMware NSX with OpenStack. It provides an overview of OpenStack Networking (Neutron) and how it works with VMware NSX. Key points include that Neutron allows tenants to define network topologies and services through an API. NSX can act as the backend plugin for Neutron, providing advanced networking features. The document demonstrates how NSX integrates with Neutron through its plugin to provide distributed virtual networking to virtual workloads on OpenStack.
The document discusses the EOSC Test Suite, which provides automated testing of cloud services for research. It outlines the timeline and context of the Test Suite, describing how it deploys scientific workloads and containerized tests across heterogeneous cloud platforms. The document also details the process for including new tests in the Test Suite, lists examples of deployments that have been run, and discusses the benefits of the Test Suite for validating cloud services and providing examples for researchers.
(openSUSE.asia summit 2017) non native english speakers in open source commun...Masayuki Igawa
I had a talk session - "Non-native English Speakers in Open Source Communities" at openSUSE Asia Summit 2017. This talk has our background, cultural differences, challenges, how to overcome them, some tips, etc.
The document discusses installing and running Mesos DC/OS on openSUSE using Vagrant and VirtualBox. The author first installs openSUSE, VirtualBox, Vagrant, and attempts to install DC/OS with Vagrant but encounters issues with host-only networking that are resolved by manually configuring the IP address. Once networking is fixed, DC/OS can be successfully installed and accessed on Vagrant VMs running on openSUSE. The author concludes that while there were challenges, especially with networking, Mesos and DC/OS can be run on openSUSE using this method.
Non native english speakers in open source communities - a true storyMasayuki Igawa
This slide deck is for our session at linux.conf.au 2017 with Samuel and Dong[1]. You might be interested in this article[2] and doc[3], too.
[1] https://linux.conf.au/schedule/presentation/70/
[2] https://opensource.com/article/17/1/non-native-speakers-take-open-source-communities
[3] https://docs.openstack.org/contributor-guide/non-native-english-speakers.html
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.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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.
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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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.
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
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
1. Tempest Scenario Tests
An Introduction for Testing your OpenStack cloud
OpenStack Summit May 2014 Atlanta
Monday, May-12 3:40pm-4:20pm
Masayuki Igawa
NEC Solution Innovators, Ltd.