The document outlines the QA strategy for Apache CloudStack releases. It discusses the goals of continuous integration and validation through automated testing. The QA process includes installation and upgrade validation, new feature testing, regression testing, performance and scalability testing, and security reviews. Future plans include increasing test automation, implementing continuous integration, and standardizing certifications. Community participation is encouraged in QA meetings, IRC sessions, and the developer mailing list.
2018년 10월 19일 금요일, 오픈스택 한국 커뮤니티 정기 세미나에서 발표주셨던 자료입니다.
- 행사 정보: http://festa.io/events/118
- 발표자: 김용기 부장님
> Sr. Solution Architect, Red Hat
> Administrator, Ansible Facebook Usergroup
Demo how to efficiently evaluate nf-vi performance by leveraging opnfv testi...OPNFV
Liang Gao, Huawei, Trevor Cooper, Intel
NFV environments are highly flexible and this introduces unique challenges for testing performance of NFVI and Network Services. This presentation introduces OPNFV performance test projects and explains their role as part of the testing ecosystem. Examples from three performance testing categories will be demonstrated showing test results and their interpretation. Test cases discussed will include data-path performance, live migration performance and storage performance.
Users expect a robust, yet flexible base infrastructure layer for NFV; but systems integration is hard. OPNFV is here to help: OPNFV provides system integration for NFV as a community-led effort. Based on a discussion of the build and composition philosophy of OPNFV, the presentation approaches the benefits of OPNFV for users from different angles: OPNFV as a reference building block to install, test and deploy NFV; OPNFV as reference system integration to get your own use-cases integrated into; OPNFV as a foundation to evolve and further develop NFV – privately or as part of the community.
Accelerated dataplanes integration and deploymentOPNFV
Tim Rozet, Red Hat, Feng Pan, Red Hat
This session will explore the challenges and lessons learned with integrating accelerated dataplanes into OPNFV deployments. More specifically the talk will focus on FD.IO (VPP) and OVS DPDK integration into Apex, including different types of configuration options, platform requirements, performance tuning, and deployment challenges. This talk will also provide context to how OpenStack functions differently with these types of dataplanes, and how integration with the OpenDaylight controller works.
Faster, Higher, Stronger – Accelerating Fault Management to the Next LevelOPNFV
Yujun Zhang, ZTE Corporation, Carlos Goncalves, NEC
Fault management is a component that allows operations teams to monitor, detect, isolate and automate the recovery of faults. With an efficient fault management system, countermeasures can negate the effects of any deployment faults, avoiding bad user experiences or violation of service-level agreements (SLAs). The OPNFV Doctor project has been developing fault management features that increases resiliency to cloud-based mobile platforms and provides system integration.
The OPNFV Doctor team continues improving its framework, not only making fault management more reliable but also faster to satisfy Telco requirements. The 4G mobile system demonstrated at the OpenStack Summit Barcelona keynote featured already a double-digit millisecond fault notification. The team has identified scalability issues in and between relevant OpenStack projects and in conjunction with other open-source software. We will share performance figures, how we continuously profile and red-flag unexpected results (e.g. performance regressions). Finally, we will present solutions to make the overall OpenStack-based fault management framework even faster.
2018년 10월 19일 금요일, 오픈스택 한국 커뮤니티 정기 세미나에서 발표주셨던 자료입니다.
- 행사 정보: http://festa.io/events/118
- 발표자: 김용기 부장님
> Sr. Solution Architect, Red Hat
> Administrator, Ansible Facebook Usergroup
Demo how to efficiently evaluate nf-vi performance by leveraging opnfv testi...OPNFV
Liang Gao, Huawei, Trevor Cooper, Intel
NFV environments are highly flexible and this introduces unique challenges for testing performance of NFVI and Network Services. This presentation introduces OPNFV performance test projects and explains their role as part of the testing ecosystem. Examples from three performance testing categories will be demonstrated showing test results and their interpretation. Test cases discussed will include data-path performance, live migration performance and storage performance.
Users expect a robust, yet flexible base infrastructure layer for NFV; but systems integration is hard. OPNFV is here to help: OPNFV provides system integration for NFV as a community-led effort. Based on a discussion of the build and composition philosophy of OPNFV, the presentation approaches the benefits of OPNFV for users from different angles: OPNFV as a reference building block to install, test and deploy NFV; OPNFV as reference system integration to get your own use-cases integrated into; OPNFV as a foundation to evolve and further develop NFV – privately or as part of the community.
Accelerated dataplanes integration and deploymentOPNFV
Tim Rozet, Red Hat, Feng Pan, Red Hat
This session will explore the challenges and lessons learned with integrating accelerated dataplanes into OPNFV deployments. More specifically the talk will focus on FD.IO (VPP) and OVS DPDK integration into Apex, including different types of configuration options, platform requirements, performance tuning, and deployment challenges. This talk will also provide context to how OpenStack functions differently with these types of dataplanes, and how integration with the OpenDaylight controller works.
Faster, Higher, Stronger – Accelerating Fault Management to the Next LevelOPNFV
Yujun Zhang, ZTE Corporation, Carlos Goncalves, NEC
Fault management is a component that allows operations teams to monitor, detect, isolate and automate the recovery of faults. With an efficient fault management system, countermeasures can negate the effects of any deployment faults, avoiding bad user experiences or violation of service-level agreements (SLAs). The OPNFV Doctor project has been developing fault management features that increases resiliency to cloud-based mobile platforms and provides system integration.
The OPNFV Doctor team continues improving its framework, not only making fault management more reliable but also faster to satisfy Telco requirements. The 4G mobile system demonstrated at the OpenStack Summit Barcelona keynote featured already a double-digit millisecond fault notification. The team has identified scalability issues in and between relevant OpenStack projects and in conjunction with other open-source software. We will share performance figures, how we continuously profile and red-flag unexpected results (e.g. performance regressions). Finally, we will present solutions to make the overall OpenStack-based fault management framework even faster.
Building a Production Grade PostgreSQL Cloud Foundry Service | anyninesanynines GmbH
Slides to the talk held at the Cloud Foundry Summit in Santa Clara 2016 about building a on-demand provisioning PostgreSQL Cloud Foundry Services being able to deploy dedicated PostgreSQL servers and 3-node-async-replicating clusters using Bosh.
The slides cover important design decisions such as single PostgreSQL server vs. PostgreSQL clusters, shared vs. dedicated PostgreSQL servers, pre-provisioning vs. on-demand provisioning of vms, the right choice of the automation technology as well as a draft of a resulting architecture.
Common Pitfalls of Functional Programming and How to Avoid Them: A Mobile Gam...gree_tech
This material is presented on CUFP 2013.
Functional programming is already an established technology is many areas. However, the lack of skilled developers has been a challenging hurdle in the adoption of such languages. It is easy for an inexperienced programmer to fall into the many traps of functional programming, resulting in a loss of productivity and bad software quality. Resource leaks caused by Haskell's lazy evaluation, for instance, are only the tip of the iceberg. Knowledge sharing and a mature tool-assisted development process are ways to avoid such pitfalls. At GREE, one of the largest mobile gaming companies, we use Haskell and Scala to develop major components of our platform, such as a distributed NoSQL solution, or an image storage infrastructure. However, only 11 programmers use functional programming on their daily task. In this talk, we will describe some unexpected functional programming issues we ran into, how we solved them and how we hope to avoid them in the future. We have developed a system testing framework to enhance regression testing, spent lots of time documenting pitfalls and introduced technical reviews. Recently, we even started holding lunchtime presentations about functional programming in order to attract beginners and prevent them from falling into the same traps.
In this session, Tony will cover some tips, tricks and info covering HTTP baselining for troubleshooting, planning and security.
Specifically, Tony will discuss the following topics.
* HTTP items to document from within your packets
* HTTP commands
* What about proxies?
* Protocol forcing
* Looking for credentials
* Leveraging Wireshark for reporting, etc.
Again, this is a live episode so don't miss the rare opportunity to ask questions and make comments either before or during the show.
A tour of scalability improvements between Havana and Juno.
The presentation discusses results from an experimental campaign and the various features that enable the scalability improvements
Presentation from Aaron Rose and Salvatore Orlando.
Fatih Degirmenci, Ericsson, Yolanda Robla Mota, RedHat, Markos Chandras, SUSE
OPNFV has been working with the communities such as OpenStack, OpenDaylight, and fd.io as part of its Cross Community CI (XCI) effort in order to provide means for the developers to work with the latest versions of upstream components, cutting the time it takes to develop new features significantly and testing them on the OPNFV Infrastructure.
Apart from developing and testing new features, OPNFV XCI will enable developers to identify bugs earlier, issue fixes faster, and get feedback on a daily basis. This is a prerequisite for OPNFV in its CD & DevOps journey.
OPNFV aims to run XCI by reusing what other communities developed such as bifrost and openstack-ansible. While doing this, OPNFV intends to develop, maintain, and evolve OPNFV Infrastructure like how the other OPNFV projects do; upstream first. Whatever missing functionality and issues we identify in the components we use as part of our infrastructure and CI/CD toolchain, we strive to fix them directly upstream.
During this session, we will talk about the progress we have made so far, contributions we made to our upstream communities, and share our experiences. We will also highlight the key benefits of XCI for the community in order for developers to utilize the mechanisms, work with OpenStack master to implement new features and fix bugs using the toolchain XCI established.
Fatih Degirmenci, Ericsson, Jack Morgan, Intel
The OPNFV community relies on our community labs, CI and testing projects to ensure we release quality code. The current strategies to use hardware resources in OPNFV community labs will not be able to sustain its current growth. New strategies need to be implemented to allow for new OPNFV projects. The presenters will look at the current lab usage model and discuss ways already being worked in OPNFV community labs through the POD descriptor file. In our CI process through Dynamic CI, Cross Community CI and other initiatives. In our testing projects use of hardware resources and its importance in the release process. The presenters will show current tools used to track usage such as the Bitergia dashboard.
Testing, CI Gating & Community Fast Feedback: The Challenge of Integration Pr...OPNFV
Jose Lausuch, Ericsson, Nikolas Hermanns, Ericsson
How can we make sure that new code in OPNFV does not break or stop CI?
How can we ensure quick feedback for each patch-set?
With the new way to snapshot a virtual deployment it is now possible to get virtual clouds up and running in about 2 min. In addition, through low amount of disk/cpu consumption and isolation of the networking it is possible to have a very high number of virtual deployments co-existing in the same bare-metal server.
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.
Hands-On Testing: How to Integrate Tests in OPNFVOPNFV
Jose Lausuch, Ericsson
I have developed and integrated a new feature but… how do I write test cases and where do I put them? How do I start?
These are common questions asked by developers bringing new features that need to be tested and verified in our CI pipeline.
12-Factor App is a methodology for building web applications, software-as-a-service apps. Software applications that are Easy to Setup, Portable, Cloud Platform Ready, CI/CD Ready and Scalable.
Using JMeter for Performance Testing Live Streaming ApplicationsBlazeMeter
With live video usage increasing to watch sporting events, popular TV shows, etc., load and performance testing live streaming applications has become a must to ensure they can withstand heavy traffic.
Our Sep 6, 2017 webinar looked at using Apache JMeter™ for testing streaming applications. Until now, JMeter supported the load testing of HTTP Live Streaming (HLS) applications, the leading protocol, with a few different elements. But now, a new HLS plugin for JMeter makes the process much simpler and efficient than before.
An overview of the HLS protocol including its key components
An introduction to the new JMeter HLS plugin
How to learn more and get involved with this open-source project
Is OpenStack Neutron production ready for large scale deployments?Елена Ежова
OpenStack Neutron with ML2 OVS has always been a challenging component in terms of performance and scalability. However, in recent releases, several enhancements and bug-fixes have resulted in significant improvements in overall reliability, performance and scalability of Neutron. In this presentation, we will share the results of our testing (both control-plane and data-plane) at large scale and provide a detailed data-driven analysis that explores the true scale limits and bottlenecks of Neutron.
Building a Production Grade PostgreSQL Cloud Foundry Service | anyninesanynines GmbH
Slides to the talk held at the Cloud Foundry Summit in Santa Clara 2016 about building a on-demand provisioning PostgreSQL Cloud Foundry Services being able to deploy dedicated PostgreSQL servers and 3-node-async-replicating clusters using Bosh.
The slides cover important design decisions such as single PostgreSQL server vs. PostgreSQL clusters, shared vs. dedicated PostgreSQL servers, pre-provisioning vs. on-demand provisioning of vms, the right choice of the automation technology as well as a draft of a resulting architecture.
Common Pitfalls of Functional Programming and How to Avoid Them: A Mobile Gam...gree_tech
This material is presented on CUFP 2013.
Functional programming is already an established technology is many areas. However, the lack of skilled developers has been a challenging hurdle in the adoption of such languages. It is easy for an inexperienced programmer to fall into the many traps of functional programming, resulting in a loss of productivity and bad software quality. Resource leaks caused by Haskell's lazy evaluation, for instance, are only the tip of the iceberg. Knowledge sharing and a mature tool-assisted development process are ways to avoid such pitfalls. At GREE, one of the largest mobile gaming companies, we use Haskell and Scala to develop major components of our platform, such as a distributed NoSQL solution, or an image storage infrastructure. However, only 11 programmers use functional programming on their daily task. In this talk, we will describe some unexpected functional programming issues we ran into, how we solved them and how we hope to avoid them in the future. We have developed a system testing framework to enhance regression testing, spent lots of time documenting pitfalls and introduced technical reviews. Recently, we even started holding lunchtime presentations about functional programming in order to attract beginners and prevent them from falling into the same traps.
In this session, Tony will cover some tips, tricks and info covering HTTP baselining for troubleshooting, planning and security.
Specifically, Tony will discuss the following topics.
* HTTP items to document from within your packets
* HTTP commands
* What about proxies?
* Protocol forcing
* Looking for credentials
* Leveraging Wireshark for reporting, etc.
Again, this is a live episode so don't miss the rare opportunity to ask questions and make comments either before or during the show.
A tour of scalability improvements between Havana and Juno.
The presentation discusses results from an experimental campaign and the various features that enable the scalability improvements
Presentation from Aaron Rose and Salvatore Orlando.
Fatih Degirmenci, Ericsson, Yolanda Robla Mota, RedHat, Markos Chandras, SUSE
OPNFV has been working with the communities such as OpenStack, OpenDaylight, and fd.io as part of its Cross Community CI (XCI) effort in order to provide means for the developers to work with the latest versions of upstream components, cutting the time it takes to develop new features significantly and testing them on the OPNFV Infrastructure.
Apart from developing and testing new features, OPNFV XCI will enable developers to identify bugs earlier, issue fixes faster, and get feedback on a daily basis. This is a prerequisite for OPNFV in its CD & DevOps journey.
OPNFV aims to run XCI by reusing what other communities developed such as bifrost and openstack-ansible. While doing this, OPNFV intends to develop, maintain, and evolve OPNFV Infrastructure like how the other OPNFV projects do; upstream first. Whatever missing functionality and issues we identify in the components we use as part of our infrastructure and CI/CD toolchain, we strive to fix them directly upstream.
During this session, we will talk about the progress we have made so far, contributions we made to our upstream communities, and share our experiences. We will also highlight the key benefits of XCI for the community in order for developers to utilize the mechanisms, work with OpenStack master to implement new features and fix bugs using the toolchain XCI established.
Fatih Degirmenci, Ericsson, Jack Morgan, Intel
The OPNFV community relies on our community labs, CI and testing projects to ensure we release quality code. The current strategies to use hardware resources in OPNFV community labs will not be able to sustain its current growth. New strategies need to be implemented to allow for new OPNFV projects. The presenters will look at the current lab usage model and discuss ways already being worked in OPNFV community labs through the POD descriptor file. In our CI process through Dynamic CI, Cross Community CI and other initiatives. In our testing projects use of hardware resources and its importance in the release process. The presenters will show current tools used to track usage such as the Bitergia dashboard.
Testing, CI Gating & Community Fast Feedback: The Challenge of Integration Pr...OPNFV
Jose Lausuch, Ericsson, Nikolas Hermanns, Ericsson
How can we make sure that new code in OPNFV does not break or stop CI?
How can we ensure quick feedback for each patch-set?
With the new way to snapshot a virtual deployment it is now possible to get virtual clouds up and running in about 2 min. In addition, through low amount of disk/cpu consumption and isolation of the networking it is possible to have a very high number of virtual deployments co-existing in the same bare-metal server.
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.
Hands-On Testing: How to Integrate Tests in OPNFVOPNFV
Jose Lausuch, Ericsson
I have developed and integrated a new feature but… how do I write test cases and where do I put them? How do I start?
These are common questions asked by developers bringing new features that need to be tested and verified in our CI pipeline.
12-Factor App is a methodology for building web applications, software-as-a-service apps. Software applications that are Easy to Setup, Portable, Cloud Platform Ready, CI/CD Ready and Scalable.
Using JMeter for Performance Testing Live Streaming ApplicationsBlazeMeter
With live video usage increasing to watch sporting events, popular TV shows, etc., load and performance testing live streaming applications has become a must to ensure they can withstand heavy traffic.
Our Sep 6, 2017 webinar looked at using Apache JMeter™ for testing streaming applications. Until now, JMeter supported the load testing of HTTP Live Streaming (HLS) applications, the leading protocol, with a few different elements. But now, a new HLS plugin for JMeter makes the process much simpler and efficient than before.
An overview of the HLS protocol including its key components
An introduction to the new JMeter HLS plugin
How to learn more and get involved with this open-source project
Is OpenStack Neutron production ready for large scale deployments?Елена Ежова
OpenStack Neutron with ML2 OVS has always been a challenging component in terms of performance and scalability. However, in recent releases, several enhancements and bug-fixes have resulted in significant improvements in overall reliability, performance and scalability of Neutron. In this presentation, we will share the results of our testing (both control-plane and data-plane) at large scale and provide a detailed data-driven analysis that explores the true scale limits and bottlenecks of Neutron.
A key tenant of moving NFV from a Proof of Concept (Poc) to deployment is testing. NFV solutions that pull from open source projects such as OPNFV, OpenStack, OpenDaylight, and others must be integrated and tested in an environment that fully supports the performance and availability requirements of service provider networks. Testing criteria and solutions are also required to ensure NFV interoperability between hardware and software systems that comprise NFV. In this tutorial, you’ll learn best practices for open source NFV testing, including: methodology; mapping to ETSI NFV use-case/s; open source project integration; testing dashboards; Continuous Integration and Continuous Deployment (CI/CD); and testing acceleration.
Performance of Microservice Frameworks on different JVMsMaarten Smeets
A lot is happening in world of JVMs lately. Oracle changed its support policy roadmap for the Oracle JDK. GraalVM has been open sourced. AdoptOpenJDK provides binaries and is supported by (among others) Azul Systems, IBM and Microsoft. Large software vendors provide their own supported OpenJDK distributions such as Amazon (Coretto), RedHat and SAP. Next to OpenJDK there are also different JVM implementations such as Eclipse OpenJ9, Azul Systems Zing and GraalVM (which allows creation of native images). Other variables include different versions of the JDK used and whether you are running the JDK directly on the OS or within a container. Next to that, JVMs support different garbage collection algorithms which influence your application behavior. There are many options for running your Java application and choosing the right ones matters! Performance is often an important factor to take into consideration when choosing your JVM. How do the different JVMs compare with respect to performance when running different Microservice implementations? Does a specific framework provide best performance on a specific JVM implementation? I've performed elaborate measures of (among other things) start-up times, response times, CPU usage, memory usage, garbage collection behavior for these different JVMs with several different frameworks such as Reactive Spring Boot, regular Spring Boot, MicroProfile, Quarkus, Vert.x, Akka. During this presentation I will describe the test setup used and will show you some remarkable differences between the different JVM implementations and Microservice frameworks. Also differences between running a JAR or a native image are shown and the effects of running inside a container. This will help choosing the JVM with the right characteristics for your specific use-case!
Tips to deploy a production grade Kubernetes cluster using SUSE CaaS Platfrom v3.
Created joinly with my colleague Martin Weiss to be used on SUSECON 2019
Every month, Sitecore brings together developers from across the North West to share learning's and discuss their experiences of working with the platform.
As Sitecore partners, we’ve been involved with plenty of these meet ups in the past, and so were pleased to not only host, but also present at, the latest user group event.
In July, Computerlovers’ Richard and Ben talked about what it’s like to work with Sitecore in an agile environment whilst adopting a continuous delivery approach.
Continuous delivery makes teams more agile and quickens the pace of innovation. Too often, though, teams adopt continuous delivery without defining the meta components or putting the right safety mechanisms in place. In this session, we'll start from the meta components and transform a typical software release process into one that will scale and is safe. We'll use DevOps techniques like continuous integration, a variety of non-production testing stages, rollbacks, redundancy, canary deployments and synthetic tests. We'll use AWS services such as Lambda, CloudFormation, CodePipeline, CodeBuild, CodeDeploy and CloudWatch alarms and dashboards.
Speakers:
Brent Maxwell, Partner Solutions Architect, Amazon Web Services
Daniel Zoltak, Solutions Architect, Amazon Web Services
Boris Stoyanov - Troubleshooting the Virtual Router - Run and Get DiagnosticsShapeBlue
Demonstration of CloudStack’s latest features for troubleshooting the Virtual Router connectivity and configuration, called Run and Get Diagnostics. Run Diagnostics gives the admin ability to execute diagnostics commands native the VR OS directly from the CloudStack UI. Admin is able to determine connectivity capabilities of the VR without logging into the SystemVM at all. Get diagnostics feature allow the admin to gather information about the SystemVM as fast as clicking on a button in the ‘QuickView’ of the VM. Admin can also execute custom scripts on each SystemVM type from the CloudStack UI. This session will begin with complete presentation of the features followed by live demo and Q&A.
Tips to achieve continuous integration/delivery using HP ALM, Jenkins, and S...Skytap Cloud
To gain a competitive advantage in today's hyper competitive markets, businesses must constantly strive to develop, test, and release better software faster. This is made possible by means of continuously integrating, testing, and delivering new applications.
In this webinar, Skytap and Orasi will share tips to improve software quality and velocity with the automated creation and management of on-demand, scalable test environments. It will focus on best practices for continuous integration through the joint use of HP Application Lifecycle Management (ALM), Jenkins and Skytap.
Specifically you learn how to:
-Integrate Jenkins with HP ALM
-Extend Dev/Test workloads to the cloud
-Integrate build automation with automated test management
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Top 7 Unique WhatsApp API Benefits | Saudi ArabiaYara Milbes
Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience.
In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
6. Continuous Release Cycles
Currently we are doing minor and major releases
Cycles are longer
Time based vs. feature based release discussion
There is a need for
Continuous integration
Continuous validation
7. Continuous Integration
Every check-in gets tested as and when it is submitted
Builds upfront quality faster
Should take less than 5 minutes to complete
Below is the process that is being worked up on currently
Jenkins kicks off
a job after each
checkin
That job spins up
a devcloud
appliance
devcloud checks
out the commit
that kicked off
the job;
devcloud builds
cloudstack
devcloud adds
itself as a host
devcloud runs
the smoke test
8. Continuous Validation
Run all the tests on nightly builds
With current structure, below are the sequence of tests
that run nightly
RAT (
release
audit tool)
Compile +
junit
Docs +
apidocs
Package
building
Install tests Smoke tests
Regression
Tests
11. Installation and Upgrade Validation
Install and Deployment validation Specifics:
Install and deployment Validation need to be done in
context of release artifacts to be in alignment with
voting process.
Step by step instructions are posted here.
https://cwiki.apache.org/CLOUDSTACK/cloudstack-40-
test-procedure.html
12. New Feature and Regression Validation
New Feature Validation Regression Validation
• QA team writes test cases for new
features based on FS.
• QA posts test plans to community to get
feedback
• QA automates and executes new test
cases for current release. Adds TCs to
regression for future releases
• We can provide template if you need to
add test cases.
• You can find test suites on wiki
• There are around 3000 + test cases in
the regression suite currently.
• This suite includes Automated and
Manual tests
• QA reviews overall feature list and
identifies regression coverage based on
impact for each release – not sustainable
• To be successful in open source env,
need to have 100% automated coverage
13. New Features and Regression Validation
Various Frameworks are available based on Junit, Python,
Selenium to automate test cases
A combination of all of these provide comprehensive
coverage
Unit Tests BVT Tests Regression Suite
Other Integration
Suites ( EC2 and
S3)
UI Automation
14. New Features and Regression Validation
• Unit Test framework ( JUnit )
• Provides early feedback and fixes issues close to source
• How to Write Unit tests - https://cwiki.apache.org/CLOUDSTACK/unit-
testing-101.html
• Currently all unit tests running with 100% pass rate
• Runs on every build
• Code coverage results are posted here
15. New feature and Regression Validation
BVTs and Functional Automation - Marvin
600+ test cases running on multiple configurations and covering
multiple hypervisors
How to write functional automated TC :
https://cwiki.apache.org/CLOUDSTACK/testing-with-python.html
BVT
Hypervisor Configuration
Xen ( multiple versions) Advanced, Basic
VM ware Advanced, Basic
KVM Advanced, Basic
OVM Planning
Functional Regression
Hypervisor Configuration
Xen ( multiple versions)
Advanced, Advanced - Netscaler, EIP/ELB Rules, Basic with and
without SG
VM ware Advanced, Advanced - Netscaler, EIP/ELB Rules, Basic w/o SG
KVM
Advanced, Advanced - Netscaler, EIP/ELB Rules, Basic with and
w/o SG
OVM Planning
16. New features and Regression Validation
Multiple test pods are being setup to run suites in parallel
– around 15 test pods are required
Porting to ASF CS env has been in progress. BVTs are
done.
Prasanna and Edison are covering more detailed talk on
Automation on Sunday morning.
17. New Features and Regression Validation
Integration frameworks
Currently we are in the process of submitting test suite that
covers EC2 Query API validation – JCloud framework
Around 40 APIs are automated
In the process of covering all APIs
Failed test cases are being fixed
Need to automate complex scenarios.
Details on test implementation are posted below
https://cwiki.apache.org/confluence/display/CLOUDSTACK/EC2+Qu
ery+API+Test+Suite+Automation
18. New Features and Regression Validation
UI Automation
Selenium
Faster and Easy
Compatible with python backend
Plan to Deliver Smoke Tests by – Early FY 13
POC and initial submits – coming soon
19. Performance and Scalability Testing
Native Tool - Simulator
Simulator - mock hypervisor and will react to
every command sent to it by the MS similar to a
regular hypervisor - easy to setup and run
Simulator and Perf resources:
http://wiki.cloudstack.org/pages/viewpage.action?pageId=1344953
2 papers have been published Covering
Basic Zone
Advanced Zone
20. Performance Use cases
• Time taken to propagate security group rules in basic zone
• Deploy VM time, CPU, load averages and # of DB connections
• Steady state CPU, load average and # of DB Connections
• Restart MS measures: Time to stop MS, Start MS and rebalance
with 30K Hosts across 4 MS (agent load size to 500 and 1000)
• Restart MS measures : with Host in maintenance mode
• Bandwidth usage collection frequency for routers
• Router Status poll metrics in RVR env
22. Security Validation
Security validation has been important aspect of ASF CS releases
All FS should include security considerations so that QA can identify
and cover these areas
Security Coverage done included the following along with manual
validation and other security reviews
23. Solution Validation
o Current solution Validation use cases include
o reference architecture deployment and
o additional complex deployment scenarios.
o Test plans are posted on wiki
o There is no need to adopt these right away in to Cloudstack but will
monitor if there is a need in future
24. Recovery, Usability and L10N
Recovery scenarios, Usability Reviews/ L10N - Not prioritized
Jessica Wang has been doing L10N review along with few other
contributors
If you have expertise in these areas, do participate in QA forums
Documentation review
Focused validation at the end of the cycles
Watch for QA requests for review
25. Defect Triage and Validation
You can participate by testing product logging defects here (
ASF JIRA)
Always log defects when you start discussion on mailing lists
Add automation for defects that you validate. Tests can be
checked in to appropriate suites based on type of test –
unit/smoke/regression suites
Participate in Bug fest activities
27. Future - Status
Some improvements that QA has been doing Q3/ Q4 FY ‘12
Automation
Functional – BVTs and Regression (Python framework) - goal
700+ TCs
Unit Test Framework ( Junit ) – Add TCs for ongoing releases +
improve legacy by adding TC for patches
Integration automation frameworks (ec2 and s3) –
implementation and make it part of regression suite ( Jcloud
Test framework)
28. Future - status
• TCM
Implementation and loading test cases –
Address Test Case gaps ( total inventory) – Currently 3000 test
cases exist. Goal is to get to 5000
• Performance
White paper – Use cases collected and release V3 with known use
cases – backlog has been built.
• Tools
Static code analyzer – In progress
Code coverage – Cobertura
Code inspection -
29. Future - status
Infrastructure improvements
Test Env improvements ( Fresh Install Automation for Functional testing)
Acquire external devices and standardize test env
Build infrastructure improvements
Continuous integration implementation
Continuous validation
Standardized certifications
New versions of HV, NS and other integrations
Standardized templates
Test plan/Test case / Defect writing Guidelines, Test case execution
reports, baseline metrics
30. Future - status
Initiatives for FY ‘13
Move towards enterprise quality standards
Unit Test Coverage + Automation – 70% + Code coverage
Regression coverage – 90% + coverage
New features – 100% coverage
Defects regressed through automation
Install/Upgrade Automation
UI automation - selenium
Standardize QA coverage for enterprise readiness
Regression
New functionality
Automation
Install/upgrade ( compatibility matrix automation)
Usability
Performance ( tools and use case expansion)
Reliability ( longevity under load)
L10N ( internal or vendor based)
31. Future - status
508 ( Accessibility)
Integration
Security
Real world use cases
Install Upgrade automation
Infrastructure improvements to run automation across
multiple configurations
33. Community Participation
Scheduled QA Meetings on weekly basis – Will be publishing meeting details for
CS 4.1 and expect it to be starting soon. Everyone is welcomed to join and
participate in QA Activities for ASF CS 4.1 release
David has planned IRC Sessions to drive Quality as a continuous process. Please do
participate and help to drive this continuous test process - timings 1800 UTC in
#cloudstack-dev on Wednesdays
ASF Cloudstack Dev mailing list is great way to share your ideas and contributions
cloudstack-dev@incubator.apache.org
All Dev, Build and QA documents are posted here
Defects can be logged here