CompatibleOne is a open source cloud computing platform with several sub-projects including Infrastructure as a Service, Platform as a Service, and security/management tools. It uses a meta-model based on grid computing concepts to manage and exchange resources. The document discusses CompatibleOne's architecture and components, as well as related tools for cloud modeling, configuration management, and resource description.
MayaData Datastax webinar - Operating Cassandra on Kubernetes with the help ...MayaData Inc
In this webinar experts from DataStax - the lead developer of Cassandra - and from MayaData - the lead developer of OpenEBS and LitmusChaos - will discuss and demonstrate ways to ensure the ease of use and resilience of Cassandra on Kubernetes.
Topics to be discussed and demonstrated include:
Provisioning underlying storage - how to make it consistent irrespective of the underlying hardware or cloud? Are there are ever reasons to have the storage replicate across nodes or is dynamic LocalPV the best choice in all cases?
Cass Operator - DataStax Kubernetes Operator for Apache Cassandra
Resilience - how to proactively assess the overall environment including the underlying Kubernetes with the help of Litmus
FOSS and Linux in particular provides an excellent OS when it comes to hacking gadgets. This presentation created a couple of years back presents GNU/Linux as the unconventional OS that makes this all possible!
MayaData Datastax webinar - Operating Cassandra on Kubernetes with the help ...MayaData Inc
In this webinar experts from DataStax - the lead developer of Cassandra - and from MayaData - the lead developer of OpenEBS and LitmusChaos - will discuss and demonstrate ways to ensure the ease of use and resilience of Cassandra on Kubernetes.
Topics to be discussed and demonstrated include:
Provisioning underlying storage - how to make it consistent irrespective of the underlying hardware or cloud? Are there are ever reasons to have the storage replicate across nodes or is dynamic LocalPV the best choice in all cases?
Cass Operator - DataStax Kubernetes Operator for Apache Cassandra
Resilience - how to proactively assess the overall environment including the underlying Kubernetes with the help of Litmus
FOSS and Linux in particular provides an excellent OS when it comes to hacking gadgets. This presentation created a couple of years back presents GNU/Linux as the unconventional OS that makes this all possible!
Transport layer development kit ( on top of DPDK by Intel)
Provide set of libraries for L4 protocol processing (UDP, TCP etc.) and VPP graph nodes, plugins, etc using those libraries to implement a host stack.
The FD.io TLDK project scope is:
The project scope includes implementing a set of libraries for L4 protocol processing (UDP, TCP etc.) for both IPv4 and IPv6.
The project scope includes creating VPP graph nodes, plugins etc using those libraries to implement a host stack.
The project scope includes such mechanisms (netlink agents, packaging, etc) necessary to make the resulting host stack easily usable by existing non-vpp aware software.
Postgres-XC as a Key Value Store Compared To MongoDBMason Sharp
This presentation discusses how Postgres-XC can be used as a PostgreSQL-based key-value store using features like hstore and JSON. It also compares performance to MongoDB for a read workload
Performance Optimization of SPH Algorithms for Multi/Many-Core ArchitecturesDr. Fabio Baruffa
In the framework of the Intel Parallel Computing Centre at the Research Campus Garching in Munich, our group at LRZ presents recent results on performance optimization of Gadget-3, a widely used community code for computational astrophysics. We identify and isolate a sample code kernel, which is representative of a typical Smoothed Particle Hydrodynamics (SPH) algorithm and focus on threading parallelism optimization, change of the data layout into Structure of Arrays (SoA), compiler auto-vectorization and algorithmic improvements in the particle sorting. We measure lower execution time and improved threading scalability both on Intel Xeon (2.6× on Ivy Bridge) and Xeon Phi (13.7× on Knights Corner) systems. First tests on second generation Xeon Phi (Knights Landing) demonstrate the portability of the devised optimization solutions to upcoming architectures.
In this video from the 2017 HPC Advisory Council Stanford Conference, Christian Kniep from Gaikai presents: Best Practices: State of Linux Containers.
"Linux Containers gain more and more momentum in all IT ecosystems. This talk provides an overview about what happened in the container landscape (in particular Docker) during the course of the last year and how it impacts datacenter operations, HPC and High-Performance Big Data. Furthermore Christian will give an update/extend on the ‘things to explore’ list he presented in the last Lugano workshop, applying what he learned and came across during the year 2016."
Watch the video: http://wp.me/p3RLHQ-glP
Learn more: http://qnib.org
and
http://www.hpcadvisorycouncil.com/events/2017/stanford-workshop/
Sign up for our insideHPC Newsletter: http:/insidehpc.com/newsletter
Session ID: SFO17-509
Session Name: Deep Learning on ARM Platforms
- SFO17-509
Speaker: Jammy Zhou
Track:
★ Session Summary ★
A new era of deep learning is coming with algorithm evolvement, powerful computing platforms and large dataset availability. This session will focus on existing and potential heterogeneous accelerator solutions (GPU, FPGA, DSP, and etc) for ARM platforms and the work ahead from platform perspective.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/sfo17/sfo17-509/
Presentation:
Video:
---------------------------------------------------
★ Event Details ★
Linaro Connect San Francisco 2017 (SFO17)
25-29 September 2017
Hyatt Regency San Francisco Airport
---------------------------------------------------
Keyword:
http://www.linaro.org
http://connect.linaro.org
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
LCU14 310- Cisco ODP
---------------------------------------------------
Speaker: Robbie King
Date: September 17, 2014
---------------------------------------------------
★ Session Summary ★
Cisco to present their experience using ODP to provide portable accelerated access to crypto functions on various SoCs.
---------------------------------------------------
★ Resources ★
Zerista: http://lcu14.zerista.com/event/member/137757
Google Event: https://plus.google.com/u/0/events/ckmld1hll5jjijq11frbqmptet8
Video: https://www.youtube.com/watch?v=eFlTmslVK-Y&list=UUIVqQKxCyQLJS6xvSmfndLA
Etherpad: http://pad.linaro.org/p/lcu14-310
---------------------------------------------------
★ Event Details ★
Linaro Connect USA - #LCU14
September 15-19th, 2014
Hyatt Regency San Francisco Airport
---------------------------------------------------
http://www.linaro.org
http://connect.linaro.org
The current Hadoop ecosystem is challenged and slowed by fragmented and duplicated efforts.
An industry standard is required that translates to immediate benefits that will increase stability, capabilities and compatibility among Hadoop distributions. Its also important to include an open data management core with emphasis on making it enterprise focused.
The ODPi is a shared industry effort focused on build such standards and also promoting and advancing the state of Big Data technologies. Linaro is actively involved in this effort and also to make sure ODPi is ARM compatible.
This talk will go over some of specifications defined, Linaro's contributions, Roadmap and a quick demo
Presentation made by Jose Pinilla and Alfredo Gualdrón to show the CSTAR (Canadian Surgical Technologies and Advanced Robotics) how FPGAs are being used in the Universidad Pontificia Bolivariana in Bucaramanga, Colombia.
Designing HPC & Deep Learning Middleware for Exascale Systemsinside-BigData.com
DK Panda from Ohio State University presented this deck at the 2017 HPC Advisory Council Stanford Conference.
"This talk will focus on challenges in designing runtime environments for exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators (GPGPUs and Intel MIC), virtualization technologies (KVM, Docker, and Singularity), and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented."
Watch the video: http://wp.me/p3RLHQ-glW
Learn more: http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
July 2018 talk to SW Data Meetup by Rob Vesse, Software Engineer, Cray Inc, discussing open source technologies for data science on high performance systems (Spark, Hadoop, PyData ecosystem, containers, etc), focusing on some of the implementation and scaling challenges they face.
Talk at the OPNFV Summit, November 12, 2015
By separating network functions into software components running on virtualized infrastructure, NFV enables network operators to improve their agility and lower costs. However, the operational benefits offered by NFV architectures are still ultimately limited by the manageability of the infrastructure and network services that are deployed. In this talk we describe OpenConfig, an industry collaboration led by network operators, to simplify the management of network services and infrastructure by developing common APIs for the management plane. The OpenConfig working group started with an initial focus of defining vendor-neutral data models for configuration and telemetry based on real operational use cases. As these models are implemented by infrastructure providers, the costs and delays of introducing new platforms and services into the network will decrease significantly.
Frank Ham from Cascade Technologies presented this deck at the Stanford HPC Conference.
"A spin-off of the Center for Turbulence Research at Stanford University, Cascade Technologies grew out of a need to bridge between fundamental research from institutions like Stanford University and its application in industries. In a continual push to improve the operability and performance of combustion devices, high-fidelity simulation methods for turbulent combustion are emerging as critical elements in the design process. Multiphysics based methodologies can accurately predict mixing, study flame structure and stability, and even predict product and pollutant concentrations at design and off-design conditions."
Watch the video: http://insidehpc.com/2017/02/best-practices-large-scale-multiphysics/
Learn more: http://www.cascadetechnologies.com
and
http://www.hpcadvisorycouncil.com/events/2017/stanford-workshop/
Sign up for our insideHPC Newsletter: http:/insidehpc.com/newsletter
A bit of history, frustration-driven development, and why and how we started looking into Puppet at Opera Software. What we're doing, successes, pain points and what we're going to do with Puppet and Config Management next.
Facing the Open Cloud Challenges: the OCCIware approachJean Parpaillon
Ensuring users with freedom of providers at cloud requires more than using open source softwares. The presentation describes the OCCIware approach, a mix of standard API, turnkey implementations and free software.
Transport layer development kit ( on top of DPDK by Intel)
Provide set of libraries for L4 protocol processing (UDP, TCP etc.) and VPP graph nodes, plugins, etc using those libraries to implement a host stack.
The FD.io TLDK project scope is:
The project scope includes implementing a set of libraries for L4 protocol processing (UDP, TCP etc.) for both IPv4 and IPv6.
The project scope includes creating VPP graph nodes, plugins etc using those libraries to implement a host stack.
The project scope includes such mechanisms (netlink agents, packaging, etc) necessary to make the resulting host stack easily usable by existing non-vpp aware software.
Postgres-XC as a Key Value Store Compared To MongoDBMason Sharp
This presentation discusses how Postgres-XC can be used as a PostgreSQL-based key-value store using features like hstore and JSON. It also compares performance to MongoDB for a read workload
Performance Optimization of SPH Algorithms for Multi/Many-Core ArchitecturesDr. Fabio Baruffa
In the framework of the Intel Parallel Computing Centre at the Research Campus Garching in Munich, our group at LRZ presents recent results on performance optimization of Gadget-3, a widely used community code for computational astrophysics. We identify and isolate a sample code kernel, which is representative of a typical Smoothed Particle Hydrodynamics (SPH) algorithm and focus on threading parallelism optimization, change of the data layout into Structure of Arrays (SoA), compiler auto-vectorization and algorithmic improvements in the particle sorting. We measure lower execution time and improved threading scalability both on Intel Xeon (2.6× on Ivy Bridge) and Xeon Phi (13.7× on Knights Corner) systems. First tests on second generation Xeon Phi (Knights Landing) demonstrate the portability of the devised optimization solutions to upcoming architectures.
In this video from the 2017 HPC Advisory Council Stanford Conference, Christian Kniep from Gaikai presents: Best Practices: State of Linux Containers.
"Linux Containers gain more and more momentum in all IT ecosystems. This talk provides an overview about what happened in the container landscape (in particular Docker) during the course of the last year and how it impacts datacenter operations, HPC and High-Performance Big Data. Furthermore Christian will give an update/extend on the ‘things to explore’ list he presented in the last Lugano workshop, applying what he learned and came across during the year 2016."
Watch the video: http://wp.me/p3RLHQ-glP
Learn more: http://qnib.org
and
http://www.hpcadvisorycouncil.com/events/2017/stanford-workshop/
Sign up for our insideHPC Newsletter: http:/insidehpc.com/newsletter
Session ID: SFO17-509
Session Name: Deep Learning on ARM Platforms
- SFO17-509
Speaker: Jammy Zhou
Track:
★ Session Summary ★
A new era of deep learning is coming with algorithm evolvement, powerful computing platforms and large dataset availability. This session will focus on existing and potential heterogeneous accelerator solutions (GPU, FPGA, DSP, and etc) for ARM platforms and the work ahead from platform perspective.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/sfo17/sfo17-509/
Presentation:
Video:
---------------------------------------------------
★ Event Details ★
Linaro Connect San Francisco 2017 (SFO17)
25-29 September 2017
Hyatt Regency San Francisco Airport
---------------------------------------------------
Keyword:
http://www.linaro.org
http://connect.linaro.org
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
LCU14 310- Cisco ODP
---------------------------------------------------
Speaker: Robbie King
Date: September 17, 2014
---------------------------------------------------
★ Session Summary ★
Cisco to present their experience using ODP to provide portable accelerated access to crypto functions on various SoCs.
---------------------------------------------------
★ Resources ★
Zerista: http://lcu14.zerista.com/event/member/137757
Google Event: https://plus.google.com/u/0/events/ckmld1hll5jjijq11frbqmptet8
Video: https://www.youtube.com/watch?v=eFlTmslVK-Y&list=UUIVqQKxCyQLJS6xvSmfndLA
Etherpad: http://pad.linaro.org/p/lcu14-310
---------------------------------------------------
★ Event Details ★
Linaro Connect USA - #LCU14
September 15-19th, 2014
Hyatt Regency San Francisco Airport
---------------------------------------------------
http://www.linaro.org
http://connect.linaro.org
The current Hadoop ecosystem is challenged and slowed by fragmented and duplicated efforts.
An industry standard is required that translates to immediate benefits that will increase stability, capabilities and compatibility among Hadoop distributions. Its also important to include an open data management core with emphasis on making it enterprise focused.
The ODPi is a shared industry effort focused on build such standards and also promoting and advancing the state of Big Data technologies. Linaro is actively involved in this effort and also to make sure ODPi is ARM compatible.
This talk will go over some of specifications defined, Linaro's contributions, Roadmap and a quick demo
Presentation made by Jose Pinilla and Alfredo Gualdrón to show the CSTAR (Canadian Surgical Technologies and Advanced Robotics) how FPGAs are being used in the Universidad Pontificia Bolivariana in Bucaramanga, Colombia.
Designing HPC & Deep Learning Middleware for Exascale Systemsinside-BigData.com
DK Panda from Ohio State University presented this deck at the 2017 HPC Advisory Council Stanford Conference.
"This talk will focus on challenges in designing runtime environments for exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators (GPGPUs and Intel MIC), virtualization technologies (KVM, Docker, and Singularity), and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented."
Watch the video: http://wp.me/p3RLHQ-glW
Learn more: http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
July 2018 talk to SW Data Meetup by Rob Vesse, Software Engineer, Cray Inc, discussing open source technologies for data science on high performance systems (Spark, Hadoop, PyData ecosystem, containers, etc), focusing on some of the implementation and scaling challenges they face.
Talk at the OPNFV Summit, November 12, 2015
By separating network functions into software components running on virtualized infrastructure, NFV enables network operators to improve their agility and lower costs. However, the operational benefits offered by NFV architectures are still ultimately limited by the manageability of the infrastructure and network services that are deployed. In this talk we describe OpenConfig, an industry collaboration led by network operators, to simplify the management of network services and infrastructure by developing common APIs for the management plane. The OpenConfig working group started with an initial focus of defining vendor-neutral data models for configuration and telemetry based on real operational use cases. As these models are implemented by infrastructure providers, the costs and delays of introducing new platforms and services into the network will decrease significantly.
Frank Ham from Cascade Technologies presented this deck at the Stanford HPC Conference.
"A spin-off of the Center for Turbulence Research at Stanford University, Cascade Technologies grew out of a need to bridge between fundamental research from institutions like Stanford University and its application in industries. In a continual push to improve the operability and performance of combustion devices, high-fidelity simulation methods for turbulent combustion are emerging as critical elements in the design process. Multiphysics based methodologies can accurately predict mixing, study flame structure and stability, and even predict product and pollutant concentrations at design and off-design conditions."
Watch the video: http://insidehpc.com/2017/02/best-practices-large-scale-multiphysics/
Learn more: http://www.cascadetechnologies.com
and
http://www.hpcadvisorycouncil.com/events/2017/stanford-workshop/
Sign up for our insideHPC Newsletter: http:/insidehpc.com/newsletter
A bit of history, frustration-driven development, and why and how we started looking into Puppet at Opera Software. What we're doing, successes, pain points and what we're going to do with Puppet and Config Management next.
Facing the Open Cloud Challenges: the OCCIware approachJean Parpaillon
Ensuring users with freedom of providers at cloud requires more than using open source softwares. The presentation describes the OCCIware approach, a mix of standard API, turnkey implementations and free software.
The Open Cloud Computing Interface is a specification from Open Grid Forum which aims at interoperability between cloud computing providers. Based on a formal meta-model, it can be easily extended to address every kind of service oriented application.
OCCIware Project at EclipseCon France 2016, by Marc Dutoo, Open WideOCCIware
Hear hear dev & ops alike - ever got bitten by the fragmentation of the Cloud space at deployment time, By AWS vs Azure, Open Shift vs Heroku ? in a word, ever dreamt of configuring at once your Cloud application along with both its VMs and database ? Well, the extensible Open Cloud Computing Interface (OCCI) REST API (see http://occi-wg.org/) allows just that, by addressing the whole XaaS spectrum.
And now, OCCI is getting powerboosted by Eclipse Modeling and formal foundations. Enter Cloud Designer and other outputs of the OCCIware project (See http://www.occiware.org) : multiple visual representations, one per Cloud layer and technology. XaaS Cloud extension model validation, documentation & ops scripting generation. Simulation, decision-making comparison. Connectors that bring those models to life by getting their status from common Cloud services. Runtime middleware, deployed, monitored, adminstrated. And tackling the very interesting challenge of modeling a meta API in EMF's metamodel, while staying true to EMF, Eclipse tools and the OCCI standard.
Featuring Eclipse Sirius, Acceleo generators, EMF at runtime. Coming soon to a new Eclipse Foundation project near you, if so you'd like.
This talk includes a demonstration of the Docker connector and of how to use Cloud Designer to configure a simple Cloud application's deployment on the Roboconf PaaS system and OpenStack infrastructure.
Kubernetes @ Squarespace (SRE Portland Meetup October 2017)Kevin Lynch
In this presentation I talk about our motivation to converting our microservices to run on Kubernetes. I discuss many of the technical challenges we encountered along the way, including networking issues, Java issues, monitoring and alerting, and managing all of our resources!
The OpenEBS Hangout #4 was held on 22nd December 2017 at 11:00 AM (IST and PST) where a live demo of cMotion was shown . Storage policies of OpenEBS 0.5 were also explained
Webinar: OpenEBS - Still Free and now FASTEST Kubernetes storageMayaData Inc
Webinar Session - https://youtu.be/_5MfGMf8PG4
In this webinar, we share how the Container Attached Storage pattern makes performance tuning more tractable, by giving each workload its own storage system, thereby decreasing the variables needed to understand and tune performance.
We then introduce MayaStor, a breakthrough in the use of containers and Kubernetes as a data plane. MayaStor is the first containerized data engine available that delivers near the theoretical maximum performance of underlying systems. MayaStor performance scales with the underlying hardware and has been shown, for example, to deliver in excess of 10 million IOPS in a particular environment.
Senior Network Analyst Tashi Phuntsho gives an overview of network automation at the fifth Bhutan Network Operators Group (btNOG 5) meeting on 4 June 2018.
Historically, sharing a Linux server entailed all kinds of untenable compromises. In addition to the security concerns, there was simply no good way to keep one application from hogging resources and messing with the others. The classic “noisy neighbor” problem made shared systems the bargain-basement slums of the Internet, suitable only for small or throwaway projects.
Serious use-cases traditionally demanded dedicated systems. Over the past decade virtualization (in conjunction with Moore’s law) has democratized the availability of what amount to dedicated systems, and the result is hundreds of thousands of websites and applications deployed into VPS or cloud instances. It’s a step in the right direction, but still has glaring flaws.
Most of these websites are just piles of code sitting on a server somewhere. How did that code got there? How can it can be scaled? Secured? Maintained? It’s anybody’s guess. There simply isn’t enough SysAdmin talent in the world to meet the demands of managing all these apps with anything close to best practices without a better model.
Containers are a whole new ballgame. Unlike VMs, you skip the overhead of running an entire OS for every application environment. There’s also no need to provision a whole new machine to have a place to deploy, meaning you can spin up or scale your application with orders of magnitude more speed and accuracy.
Kubernetes @ Squarespace: Kubernetes in the DatacenterKevin Lynch
This talk was presented at SRE NYC Meetup on August 16, 2017 at Squarespace HQ.
https://www.youtube.com/watch?v=UJ1QAKprVr4
As the engineering teams at Squarespace grow, we have been building more and more microservices. However, this has added operational strain as we try to shoehorn a growing, complex dynamic environment into our static data center infrastructure. We needed to rethink how we handle deployments, dependency management, resource allocation, monitoring, and alerting. Docker containerization and Kubernetes orchestration helps us tackle many of these problems, but the journey has been challenging. In this talk, we’ll discuss the challenges of running Kubernetes in a datacenter and how we switched to a more SLA-focused alert structure than per instance health with Prometheus and AlertManager.
Using Kubernetes to make cellular data plans cheaper for 50M usersMirantis
Use case of Kubernetes based NFV infrastructure used in production to run an open source evolved packet core. Presented by Facebook Connectivity and Mirantis at KubeCon + CloudNativeCon Europe 2020.
Edge Computing: A Unified Infrastructure for all the Different PiecesCloudify Community
Edge Computing along with 5G promises to revolutionize customer experience with immersive applications that we can only imagine at this point. The edge will include PNFs, VNFs, and mobile-edge applications; requiring containers, virtual machines and bare-metal compute. But while edge computing promises numerous new revenue streams, managing and orchestrating these edge infrastructure environments is not going to be a seamless, instant process. In this webinar, experts in NFV orchestration discuss the concerns you must address in the transition to the edge, and show how you can use available open source tools to create a single management environment for PNFs, VNFs, and mobile-edge applications.
Similar to Configuration management state of the art (20)
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
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/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
3. ● CompatibleOne
● « a meta-model derived from the concepts of Grid
Computing of contracts for the supply of
resources »
● « a free/open source reference Cloudware stack
that can be freely installed on any server to supply,
manage, control and exchange resources »
State of the art from C. One - 3
4. ● Sub-projects
● Infrastructure as a Service
● Platform as a Service
● Security, QoS and Management
State of the art from C. One - 4
5. ● Aeolus
● « developing theory and tools to automate
deployment, reconfiguration, and upgrades of
variable sized, non-homogeneous machine pools »
State of the art from C. One - 5
7. ● Requires
● Cloud description model and language
● Cloud modification request language
● Low level deployment language
State 1 State 2
State of the art from C. One - 7
8. Cloud description (1)
● Describing (virtual) hardware resources
● Grid models
– Computing
– Memory
– Storage
– Networking
● IaaS models
– Grid +
– Elasticity
– Virtualization
State of the art from C. One - 8
9. Cloud description (2)
● Software resources
● Distribution packaging systems
– deb
– Rpm
– Etc.
● Software configurations
● Configuration management tools
– Puppet, Chef, cfEngine
State of the art from C. One - 9
10. Cloud description (3)
● Describing relations in distributed system
● Not found...
State of the art from C. One - 10
11. Modification request description (1)
● Modification of the system...
● Virtual hardware
● Packages
● services
– cf cloud description
State of the art from C. One - 11
12. Modification request description (2)
● ...with non-functional requirements
● Costs, QoS, location, etc.
● Need for limiting request
– “I want my new cloud provider CEO to wear nice socks”
● Look at existing:
– Ontologies: things and their relations
– Taxonomies: hierarchical structures
State of the art from C. One - 12
13. Low-level deployment language
● A minimum of abstraction:
● Package management
● Service management
● Configuration management
● Dependancy handling
● Distributed deployment of configuration
State of the art from C. One - 13
15. Cloud model : original stack
SaaS : Application Turnkey applications
PaaS : Platform Comprehensive API stacks
IaaS : Infrastructure (virtual) CPU, memory, network, etc.
State of the art from C. One - 15
16. Cloud model : refined stack
Appliance (Distributed) application
Platform Comprehensive APIs
Scheduling Resources requests
Accounting Accountable resources
Cloud Virtual datacenter : OpenStack, EC2, etc.
Virtualization Virtual hardware : Xen box, KVM box, etc.
Hardware Concrete hardware : CPU, harddisk, etc.
State of the art from C. One - 16
17. Cloud model :
« everything is a process »
● « SlapOS: a Multi-purpose Distributed Cloud
Operating System Based on an ERP Billing
Model »
http://www.slapos.org/slapos-Wiki.Home/slapos-Smets.Cerin.Courteaud.IEEEClou
● Inspired from grid systems
Application
SlapOS Process
Resources description
State of the art from C. One - 17
19. Cloud engines
● IaaS oriented
● Deploying virtual machine images on allocated
resources
● Storing and retrieving virtual images
● Migrate vm from one hardware to another
● One or several API: OCCI, EC2, native
● No deal with packages, services, etc.
State of the art from C. One - 19
20. OpenNebula – short story
● Started in 2005
● First public release 2008, Apache License
● Mostly from research projects
● Recent commercial support (C12G)
● Large existing deployments:
● CERN (http://blog.opennebula.org/?p=620)
State of the art from C. One - 20
21. OpenNebula - features
● Manages all aspects of infrastructure
● Users, images, hypervisors, network, storage
● Scheduling:
– Basic: CPU load, memory load, locality
– Advanced: Haizea (http://haizea.cs.uchicago.edu/)
● Support public clouds API: OCCI, EC2
● Included monitoring
State of the art from C. One - 21
22. OpenStack – short story
● Started by 2010
● FOSS alternative to Eucalyptus
● Strong community
● Sponsored by the NASA
● Aiming at scalability
● 1 million hosts, 60 millions guests
● 100 PB / cluster
● 100 000 requests/sec
State of the art from C. One - 22
23. OpenStack - features
● Manages
● Role Based Access Control
● Hypervisors
● Integrated storage (SWIFT)
● Images repository and retrieval (GLANCE)
→ Promising but younger than OpenNebula
State of the art from C. One - 23
24. SlapOS (1)
● Started late 2010
● Developed by Nexedi
● Provides
● Infrastructure: kvm, libcloud, etc.
● Platform: Java, Python, *SQL servers, etc.
● SaaS: wordpress, xwiki, ERP5
State of the art from C. One - 24
25. SlapOS (2)
● Relies on:
● linux + libc
● Buildout
● Efficiency: no virtualization
● Application → /opt/<application>
● Process is managed through supervisord
State of the art from C. One - 25
27. OCCI – short story
● “The Open Cloud Computing Interface (OCCI)
is a RESTful Protocol and API for all kinds of
Management tasks”
● Started March 2009
● Today 250 members from industry, academia
and research
State of the art from C. One - 27
28. OCCI - features
● Aiming at:
● Interoperability
● Integration with IaaS, PaaS, SaaS
● Extensibility
● Parts implemented in:
● OpenStack, OpenNebula, etc.
● http://occi-wg.org/community/implementations/
● No reference implementation
● Current specifications mostly concerns IaaS
State of the art from C. One - 28
29. Cloud resources taxonomy
● Proposed by SlapOS project
● http://www.slapos.org/P-VIFIB-Default.Category.Configuration/view
● Covers
● Infrastructure (CPU, memory, storage, etc,)
● Countries, skills, functions, etc.
● To be completed in CompatibleOne project
State of the art from C. One - 29
30. SNMP
● Mature taxonomy (first RFC: 1988)
● IETF + IANA = 317 MIB modules
● Describes
● Network systems (legacy use)
● Complex computing systems
– Web servers
– Software and hardware resources
● Still evolving: LIBVIRT-MIB
State of the art from C. One - 30
32. Classification
● Configuration files abstraction:
● 'Sed ...' vs 'set(file, section, key, value)' ?
● Distribution abstraction:
● Packages manager, services start/stop
→ Declarative vs imperative language
● Dependancy handling
● 'make world' vs 'make earth wind fire'
● Distributed configuration
State of the art from C. One - 32
33. Augeas
● Not a configuration management tool :)
● Abstract configuration storage:
● Config → tree of key=value
● API: C, CLI, Python, Ruby, Haskell, Java, …
● Repository of parsers : xorg, sshd, mysql, ...
State of the art from C. One - 33
34. CfEngine (1)
● Grandfather of config mgmt tools (1993)
● Version 3.0.2, June 2010
● Based on “promises”:
● Describe desired state to reach
● Domain Specific Language
● Low CPU and memory footprint
State of the art from C. One - 34
35. CfEngine (2)
● Decentralized architecture
● Agents pull config and try to reach promises
● Asynchronous execution
● Graph-ordering model
State of the art from C. One - 35
36. Puppet (1)
● First release 2005
● Written in Ruby
● Large community and commercial support
● Architecture:
● Declarative DSL
● Client-Server model
● REST API
State of the art from C. One - 36
37. Puppet (2)
● Integrates:
● Modules repository (retrieving and submission)
● Augeas (config file abstraction)
● Resources abstraction: user, package, service,...
● Performances / cfEngine
● Dependancy handling
● Graph-ordering model
State of the art from C. One - 37
38. Chef (1)
● Inspired by Puppet
● First release 2009
● Written in Ruby
● Architecture:
● Client-server
● Rely on HTTP server
State of the art from C. One - 38
39. Chef (2)
● Convention based
● File names, dir names
● Recipes in pure Ruby
● Already large repository of recipes
● Procedural ordering model
State of the art from C. One - 39
40. bcfg2
● First release in 2004
● Written in Python
● Declarative configuration description in XML
● Specificity: reporting system
● Check the configuration correctness
● Report differences between client state and config
● Dry-run mode
State of the art from C. One - 40
41. Buildout
● Build system
● Written in Python
● Designed for Python but not only
● cf SlapOS
State of the art from C. One - 41
42. GNU make
● Build system
● Well-known
● Lightweight
● Relies on external tools for abstraction
● Packages, users, services, etc.
State of the art from C. One - 42
44. Cloud modeling
● Well known objects:
● virtual CPUs, memory, packages...
● ...and some other not:
● User requests
● Services
State of the art from C. One - 44