CERN, the European Laboratory for Particle Physics, provides the infrastructure and resources to thousands of scientists all around the world to uncover the mysteries of the Universe. In the quest to build a private Cloud Infrastructure to support its users, CERN started early evaluating the OpenStack project, building several prototypes and engaging with the community. Finally, in 2013 CERN released its production Cloud Infrastructure using OpenStack. Since then we moved from a few hundred cores to a multi-cell deployment spread between different regions. After 7 years deploying and managing OpenStack in production at a large scale, we now look back and discuss the challenges of building a massive scale infrastructure from 0 to +300K cores. In this talk we will dive into the history, architecture, tools and technical decisions behind the CERN Cloud Infrastructure over the years.
CERN, the European Organization for Nuclear Research, is one of the world’s largest centres for scientific research. Its business is fundamental physics, finding out what the universe is made of and how it works. At CERN, accelerators such as the 27km Large Hadron Collider, are used to study the basic constituents of matter. This talk reviews the challenges to record and analyse the 25 Petabytes/year produced by the experiments and the investigations into how OpenStack could help to deliver a more agile computing infrastructure.
The next generation of research infrastructure and large scale scientific instruments will face new magnitudes of data.
This talk presents two flagship programmes: the next generation of the Large Hadron Collider (LHC) at CERN and the Square Kilometre Array (SKA) radio telescope. Each in their way will push infrastructure to the limit.
The LHC has been one of the significant users of OpenStack in scientific computing. The SKA is now working to a final software architecture design and is focusing on OpenStack as an underlying middleware function.
Together, we plan to develop a common platform for scaling science: to accommodate new applications and software services, to deliver high ingest rate real-time and batch processing, to integrate high performance storage and to unlock the potential of software defined networking.
CERN, the European Organization for Nuclear Research, is running for several years a large OpenStack Cloud that helps thousands of scientists to analyze the data from the LHC.
In 2012, early in the design phase of the CERN Cloud we decided to use Nova Cells to enable the infrastructure to scale to thousands of nodes. Now with more than 280K cores spread across 70 cells that are hosted in two data centres we were faced with the challenge to migrate to Nova Cells V2 required in the Pike release.
In this presentation, we will describe how Nova Cells allowed CERN to scale to thousands of nodes, its advantages and how we mitigate the implementation issues of Nova Cells V1. Next, we will cover how we upgraded Nova from Newton with Cells V1 to Pike with Cells V2. We will explain the steps that we followed and the issues that we faced during the upgrade. Finally, we will report our experience with Cells V2 at scale, its caveats and how we are mitigate them.
What can I expect to learn?
This presentation describes how CERN migrated from Cells V1 to Cells V2 when upgraded from Newton to Pike release.
You will learn the procedures followed by CERN in order to migrate Cells V1 to Cells V2 in a large production environment.
The issues found during the upgrade and how we mitigate them will be discussed.
Also, we will present how Cells V2 behaves in a large scale deployment with serveral thounsands nodes in 70 cells.
Containers on Baremetal and Preemptible VMs at CERN and SKABelmiro Moreira
CERN the European Laboratory for Nuclear Research and SKA the Square Kilmeter Array are preparing the next generation of research infrastructure for the new large scale scientific instruments that will produce new magnitudes of data. In Sydney OpenStack Summit we presented the collaboration and the platform that we plan to develop for scaling science.
In this talk will present the work done related with Preemptible VMs and Containers on Baremetal.
Preemptible VMs are instances that use idle allocated resources in the infrastructure and can be terminated when this capacity is required. Containers in Baremetal eliminate the virtualization overhead enabling the container full performance required for scientific workloads.
We will present the current state, development and integration decisions and how these functionalities can be used in a common OpenStack infrastructure.
CERN, the European Organization for Nuclear Research, is one of the world’s largest centres for scientific research. Its business is fundamental physics, finding out what the universe is made of and how it works. At CERN, accelerators such as the 27km Large Hadron Collider, are used to study the basic constituents of matter. This talk reviews the challenges to record and analyse the 25 Petabytes/year produced by the experiments and the investigations into how OpenStack could help to deliver a more agile computing infrastructure.
The next generation of research infrastructure and large scale scientific instruments will face new magnitudes of data.
This talk presents two flagship programmes: the next generation of the Large Hadron Collider (LHC) at CERN and the Square Kilometre Array (SKA) radio telescope. Each in their way will push infrastructure to the limit.
The LHC has been one of the significant users of OpenStack in scientific computing. The SKA is now working to a final software architecture design and is focusing on OpenStack as an underlying middleware function.
Together, we plan to develop a common platform for scaling science: to accommodate new applications and software services, to deliver high ingest rate real-time and batch processing, to integrate high performance storage and to unlock the potential of software defined networking.
CERN, the European Organization for Nuclear Research, is running for several years a large OpenStack Cloud that helps thousands of scientists to analyze the data from the LHC.
In 2012, early in the design phase of the CERN Cloud we decided to use Nova Cells to enable the infrastructure to scale to thousands of nodes. Now with more than 280K cores spread across 70 cells that are hosted in two data centres we were faced with the challenge to migrate to Nova Cells V2 required in the Pike release.
In this presentation, we will describe how Nova Cells allowed CERN to scale to thousands of nodes, its advantages and how we mitigate the implementation issues of Nova Cells V1. Next, we will cover how we upgraded Nova from Newton with Cells V1 to Pike with Cells V2. We will explain the steps that we followed and the issues that we faced during the upgrade. Finally, we will report our experience with Cells V2 at scale, its caveats and how we are mitigate them.
What can I expect to learn?
This presentation describes how CERN migrated from Cells V1 to Cells V2 when upgraded from Newton to Pike release.
You will learn the procedures followed by CERN in order to migrate Cells V1 to Cells V2 in a large production environment.
The issues found during the upgrade and how we mitigate them will be discussed.
Also, we will present how Cells V2 behaves in a large scale deployment with serveral thounsands nodes in 70 cells.
Containers on Baremetal and Preemptible VMs at CERN and SKABelmiro Moreira
CERN the European Laboratory for Nuclear Research and SKA the Square Kilmeter Array are preparing the next generation of research infrastructure for the new large scale scientific instruments that will produce new magnitudes of data. In Sydney OpenStack Summit we presented the collaboration and the platform that we plan to develop for scaling science.
In this talk will present the work done related with Preemptible VMs and Containers on Baremetal.
Preemptible VMs are instances that use idle allocated resources in the infrastructure and can be terminated when this capacity is required. Containers in Baremetal eliminate the virtualization overhead enabling the container full performance required for scientific workloads.
We will present the current state, development and integration decisions and how these functionalities can be used in a common OpenStack infrastructure.
Multi-Cell OpenStack: How to Evolve Your Cloud to Scale - November, 2014Belmiro Moreira
Multi-Cell OpenStack: How to Evolve Your Cloud to Scale
OpenStack Design Summit, Paris - November, 2014
Belmiro Moreira - CERN
Matt Van Winkle - Rackspace
Sam Morrison - NeCTAR, University of Melbourne
CERN OpenStack Cloud Control Plane - From VMs to K8sBelmiro Moreira
CERN is the home of the Large Hadron Collider (LHC), a 27km circular proton accelerator that generates petabytes of physics data every year. To process all this data, CERN runs an OpenStack Cloud (>300K cores) that helps scientists all around the world to unveil the mysteries of the Universe. The Infrastructure is also used to run all the IT services of the Organization.
Delivering these services, with high performance and reliable service levels has been one of the major challenges for the CERN Cloud engineering team. We have been constantly iterating the architecture and deployment model of the Cloud control plane.
In this presentation we will describe the different control plane architecture models that we relied over the years. Finally, we will describe all the work done to move the OpenStack Cloud control plane from VMs into a kubernetes cluster. We will report about our experience running this architecture at scale, its advantages and challenges.
Tips Tricks and Tactics with Cells and Scaling OpenStack - May, 2015Belmiro Moreira
Tips Tricks and Tactics with Cells and Scaling OpenStack
OpenStack Design Summit, Paris - May, 2015
Belmiro Moreira - CERN
Matt Van Winkle - Rackspace
Sam Morrison - NeCTAR, University of Melbourne
Learning to Scale Openstack: A Case Study in Rackspace's Open Cloud Deployment was presented at OpenStack Design Summit in Portland, OR on April 17, 2013. Watch the recording of the presentation on youtube at the following link: http://www.youtube.com/watch?v=3x8X6f5mnzc
CERN is the home of the Large Hadron Collider (LHC), a 27km circular proton accelerator generating tens of petabytes of new data every year. Data is stored and processed using a large amount of resources totaling over 250.000 cores and 1000s of storage servers, managed by OpenStack.
Networking is a critical part of our infrastructure and arguably the hardest to evolve. Given the size of CERN’s infrastructure, its flat network is partitioned in segments each representing a separate broadcast domain and potentially offering different levels of service. This fragmentation improves scalability and reduces the impact of misbehaving systems in the datacentre to individual segments. On the other hand, having multiple broadcast domains means features like floating and virtual IPs are much harder to offer.
We will tell the story of OpenStack Networking at CERN. First integration with Nova Network, the migration to Neutron and how we're adding SDN in our infrastructure.
tcp cloud presentation at OpenContrail Meetup in May 2015 Vancouver about OpenStack/OpenContrail implementations, Juno integration and SaltStack announcement.
OpenStack Ousts vCenter for DevOps and Unites IT Silos at AVG Technologies Jakub Pavlik
tcp cloud & AVG User Story.
Does your IT department’s left hand talk to the right hand? Finally ours does at http://www.avg.com/eu-en/homepage! This is the story of OpenStack as our salvation, and important lessons learned in technology and IT politics.
Our appsdev team’s devops abilities were being held ransom on vCenter, so we wanted public cloud agility for dev/test/staging. With the help of our IT partner…Full session details here: http://awe.sm/r9Ekr
OpenStack “Liberty,” due for imminent release, represents the 12th release of the open source computing platform for public and private clouds. Recent OpenStack releases have focused on improving stability and enhancing the operator experience. This is still the case with Liberty, but there are still new features to consider.
Join Sean Cohen and Steve Gordon to review notable features of this new OpenStack release, including:
Network quality of service (QoS) support via a new extensible API for dynamically defining per-port and per-network QoS policies.
Mark host down API enhancement in support of external high-availability solutions, including pacemaker, providing resilient instances in the event of compute node failure.
Enhanced Security Assertion Markup Language (SAML) support including dashboard integration, Ipsilon, and OpenID Connect support.
Role-based access control (RBAC) for networks, providing fine-grained permissions for sharing networks between tenants.
Dashboard support for database-as-a-service (Trove), subnet allocation, floating IP assignment, and volume migration.
Generic volume migration—adding the ability to migrate workloads from iSCSI to non-iSCSI back ends.
New Cinder replication API to allow block level replication between back ends.
Nondisruptive backup to allow backup while the volume is still attached, by performing backup from a temporary attached snapshot.
New Image signing and encryption to guarantee integrity by supporting signing and signature validation of bootable images.
In addition we’ll discuss the state of emerging projects including Manila and Zaqar.
Multi-Cell OpenStack: How to Evolve Your Cloud to Scale - November, 2014Belmiro Moreira
Multi-Cell OpenStack: How to Evolve Your Cloud to Scale
OpenStack Design Summit, Paris - November, 2014
Belmiro Moreira - CERN
Matt Van Winkle - Rackspace
Sam Morrison - NeCTAR, University of Melbourne
CERN OpenStack Cloud Control Plane - From VMs to K8sBelmiro Moreira
CERN is the home of the Large Hadron Collider (LHC), a 27km circular proton accelerator that generates petabytes of physics data every year. To process all this data, CERN runs an OpenStack Cloud (>300K cores) that helps scientists all around the world to unveil the mysteries of the Universe. The Infrastructure is also used to run all the IT services of the Organization.
Delivering these services, with high performance and reliable service levels has been one of the major challenges for the CERN Cloud engineering team. We have been constantly iterating the architecture and deployment model of the Cloud control plane.
In this presentation we will describe the different control plane architecture models that we relied over the years. Finally, we will describe all the work done to move the OpenStack Cloud control plane from VMs into a kubernetes cluster. We will report about our experience running this architecture at scale, its advantages and challenges.
Tips Tricks and Tactics with Cells and Scaling OpenStack - May, 2015Belmiro Moreira
Tips Tricks and Tactics with Cells and Scaling OpenStack
OpenStack Design Summit, Paris - May, 2015
Belmiro Moreira - CERN
Matt Van Winkle - Rackspace
Sam Morrison - NeCTAR, University of Melbourne
Learning to Scale Openstack: A Case Study in Rackspace's Open Cloud Deployment was presented at OpenStack Design Summit in Portland, OR on April 17, 2013. Watch the recording of the presentation on youtube at the following link: http://www.youtube.com/watch?v=3x8X6f5mnzc
CERN is the home of the Large Hadron Collider (LHC), a 27km circular proton accelerator generating tens of petabytes of new data every year. Data is stored and processed using a large amount of resources totaling over 250.000 cores and 1000s of storage servers, managed by OpenStack.
Networking is a critical part of our infrastructure and arguably the hardest to evolve. Given the size of CERN’s infrastructure, its flat network is partitioned in segments each representing a separate broadcast domain and potentially offering different levels of service. This fragmentation improves scalability and reduces the impact of misbehaving systems in the datacentre to individual segments. On the other hand, having multiple broadcast domains means features like floating and virtual IPs are much harder to offer.
We will tell the story of OpenStack Networking at CERN. First integration with Nova Network, the migration to Neutron and how we're adding SDN in our infrastructure.
tcp cloud presentation at OpenContrail Meetup in May 2015 Vancouver about OpenStack/OpenContrail implementations, Juno integration and SaltStack announcement.
OpenStack Ousts vCenter for DevOps and Unites IT Silos at AVG Technologies Jakub Pavlik
tcp cloud & AVG User Story.
Does your IT department’s left hand talk to the right hand? Finally ours does at http://www.avg.com/eu-en/homepage! This is the story of OpenStack as our salvation, and important lessons learned in technology and IT politics.
Our appsdev team’s devops abilities were being held ransom on vCenter, so we wanted public cloud agility for dev/test/staging. With the help of our IT partner…Full session details here: http://awe.sm/r9Ekr
OpenStack “Liberty,” due for imminent release, represents the 12th release of the open source computing platform for public and private clouds. Recent OpenStack releases have focused on improving stability and enhancing the operator experience. This is still the case with Liberty, but there are still new features to consider.
Join Sean Cohen and Steve Gordon to review notable features of this new OpenStack release, including:
Network quality of service (QoS) support via a new extensible API for dynamically defining per-port and per-network QoS policies.
Mark host down API enhancement in support of external high-availability solutions, including pacemaker, providing resilient instances in the event of compute node failure.
Enhanced Security Assertion Markup Language (SAML) support including dashboard integration, Ipsilon, and OpenID Connect support.
Role-based access control (RBAC) for networks, providing fine-grained permissions for sharing networks between tenants.
Dashboard support for database-as-a-service (Trove), subnet allocation, floating IP assignment, and volume migration.
Generic volume migration—adding the ability to migrate workloads from iSCSI to non-iSCSI back ends.
New Cinder replication API to allow block level replication between back ends.
Nondisruptive backup to allow backup while the volume is still attached, by performing backup from a temporary attached snapshot.
New Image signing and encryption to guarantee integrity by supporting signing and signature validation of bootable images.
In addition we’ll discuss the state of emerging projects including Manila and Zaqar.
Bandwidth: Use Cases for Elastic Cloud on Kubernetes Elasticsearch
Bandwidth has been an avid user of the Elastic Stack for aggregating their logs from its many data centers. Learn how Bandwidth uses Elastic Cloud on Kubernetes to help satisfy various use cases.
This was an intro I gave to create awareness with the Telco and enterprise community in Pakistan. The idea was to bootstrap this with an effort to create workshop content that will be created with collaboration from within Plumgrid (time /resource wise) and PTA as well as Govt. of Pakistan.
9 ways to consume kubernetes on open stack in 15 mins (k8s meetup)Stacy Véronneau
Like that title states, this is a quick slide deck to help people consume OpenStack resources from Kubernetes. It covers elements running on a laptop to consuming a full production cloud.
The world of Linux Containers might be the hottest technology helping businesses to build cloud ready applications and services. In this talk we will provide the current status of OpenStack support for containers and containers support for OpenStack.In the first part we will dive into two container-focused OpenStack projects: Magnum and Kolla and show how Magnum as an API service can help to provide "Containers as a Service" on top of OpenStack leveraging the capabilities of Kubernetes, Docker, Heat and Flannel, and show how Kolla is going to improve OpenStack operations by containerizing OpenStack components into micro services for simplified upgrades and deployment consistency, portability and scaling.In the second part we will see Magnum in action and learn how to get the whole thing running on top of his own, on an existing OpenStack Kilo environment!
Speaker: Daniel Bäurer
Noch mehr Vorträge von uns: https://www.inovex.de/de/content-pool/vortraege/
There are a variety of options for standing up an OpenStack private cloud platform. In this webinar, we will discuss existing design patterns for deploying OpenStack and their relative strengths and weaknesses.
Presentation give at the Melbourne Docker Meetup on container related projects within OpenStack. Specifically looking at Project Magnum and Project Kolla and how they are leveraging technologies like Docker, Kubernetes and Atomic.
This is a workshop done on codemonsters.pro technological conference.
It illustrates how you can create and deal with vm and container virtual infrastructures and combine them in a useful way.
Review of the CLIP (Cloud Infrastructure Project) at the Vienna BioCenter. CLIP is an OpenStack deployment for research computing, set out to replace on-site legacy HPC systems. We talk about how we have setup our continuous deployment process, our infrastructure as code approach, continuous testing and verification, monitoring and the pitfalls and surprises we encountered along the way.
Introduction to Open stack - An Overview SpringPeople
OpenStack is a free & open-source software platform for cloud computing, mostly deployed as an IaaS. In this Slide, we will cover:
- Evolution of Openstack
- Cloud, its types and advantages
- Importance and overview of Openstack
- Openstack course syllabus
Do you think of cheetahs not RabbitMQ when you hear the word Swift? Think a Nova is just a giant exploding star, not a cloud compute engine. This deck (presented at the OpenStack Boston meetup) provides introduction will answer your many questions. It covers the basic components including: Nova, Swift, Cinder, Keystone, Horizon and Glance.
Similar to 10 Years of OpenStack at CERN - From 0 to 300k cores (20)
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
27. Nova - Cells
● Allows Nova to scale to thousands of compute nodes
● Biggest Nova Cells deployment
● Moved from 2 cells to +80 cells
● Upgrade from CellsV1 to CellsV2 in 2018
27
28. Ceilometer - The Rise & Fall
● OpenStack Ceilometer deployed
● Removed after run it for 3 years. Not scalable and difficult to retrieve data
28
29. Storage - Cinder, Manila, S3
● OpenStack Cinder with Ceph backend (2014)
○ Several volume types available
● OpenStack Manila (Fileshare service). Backed by CephFS (2017)
● S3 available (end 2018)
29
30. Container Orchestration - Magnum
● OpenStack Magnum service available since 2016
● Extremely popular service, +500 clusters
30
32. Baremetal Provisioning - Ironic
● In production since 2018
● All new hardware is enrolled using Ironic. +5000 nodes managed by Ironic
● Existing hardware will be enrolled into Ironic during 2020
32
35. Operations
● Experience growing/managing the Infrastructure during the last 7 years
● Several upgrades during this journey
○ OpenStack release cycle is every 6 months!
○ SLC6 to CC7 upgrade
○ CC7 upgrades
○ CC7 to C8 upgrade?
● Supported for few years KVM and HyperV in the same infrastructure
○ Migrated CVI VMs to OpenStack HyperV and then to OpenStack KVM
● Security updates required reboot of all cloud
● Most user management operations are automated
○ project creation; quotas; ...
35
37. ● Public Clouds
○ Based on different pricing/SLA considering resource availability
○ Reserved instances vs spot-market
● Private Clouds
○ Quotas are hard limits. Leads to a reduction in resource utilization
○ Preemptible instances
■ Projects that exhausted their quota can continue to create instances
● Opportunistic workloads
● Low SLA
● Preemptible Instances Workflow in OpenStack Nova
○ The creation of a non preemptible VM fails because there aren’t available resources
○ Instances that fail with “Nova Valid Host”, go to “PENDING” state instead of “ERROR”
○ The Reaper service is notified and it tries to free the requested resources
■ Rebuild the instance
■ Or change instance state to “ERROR”
Preemptible Instances
37
https://techblog.web.cern.ch/techblog/post/preemptible-instances/
41. Challenges
● Leveraging Container Orchestration to deploy OpenStack control plane
● Re-enroll existing physical resources into OpenStack Ironic
● Introduction of GPU resources
● Move all resources from nova-network to Neutron
● Exploring how to provide ML platforms and Functions as a Service to our
users.
41
43. Summary
● During the last 10 years, resource management and deployment model
changed completely
○ From Virtualization and Server consolidation to a Cloud Infrastructure
○ From Baremetal to VMs, to managed Baremetal to Containers
● Continue to adapt the Infrastructure to the new technologies and
requirements
○ Iterative approach to introduce new services, new functionality
○ Continue to explore new approaches to deploy/manage a large infrastructure
■ Control Plane managed by kubernetes
■ New regions
■ Preemptible instances
43
44. Hall of Fame
Stefano Zilli
Wataru Takase
Thomas Hartland
Mihai Patrascoiu
Belmiro Moreira
Mateusz Kowalski
Thomas Oulevey
Arne Wiebalck
Jan van Eldik
Jose Castro
Spyridon Trigazis
Daniel Abad
Luis Pigueiras
Vitor Araujo
Luis Fernandez Alvarez
Daniel Fernandez Rodriguez
Gary McGilvary
Marek Denis
Andrea Giardini
Bruno Bompastor
44
Joe Harrison
Thodoris Tsioutias
Clenimar Filemon
Markus Sommer
Vipin Rathi
Ran Du
Cris Cordeiro
Luca Tartarini
Dinika Saxena
Shweta Oak
Jakub
Pavel
Antonio Marino
Marcos Fermin Lobo
Davide Michelino
Parin Pocheba
Nitin Aggarwal
Sean Crosby
Ignacio Dominguez
Martinez-Casanueva
Monika Talach
Mathieu Velten
Bertrand Noel
Konstantinos Samaras-Tsakiris
Surya Seetharaman
Robert Vasek
Ricardo Brito da Rocha
Costin Gament
Domenico Giordano
Iago Santos Pardo
Victor Araujo
Chirag Arora
Cas van der Laan
Zygimantas Matonis
Patrycja Gorniak
Elizaveta Svitanko
Venkata Ravicharan Nudurupati
Fedor Kitashov
Juan Dupuis
Serena Ziviani
Diogo Guerra
Evangelia Santorinaiou
Henni Mohamed
Roberto Soares
Theodoros Tsioutsias
Dheeraj Gupta
Vineet Menon
Lalit Dagre
Pranav Gaur