This document discusses Microsoft Azure cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of Azure services like virtual machines, web apps, SQL databases, and machine learning. It also demonstrates how to perform tasks like uploading files to Azure blob storage using different programming languages.
Cloudian and Rubrik - Hybrid Cloud based Disaster RecoveryCloudian
Cloudian and Rubrik outline the benefits of using a modern hybrid cloud based approach for your VMware backups. While everyone is promising instant restores and shorter backup windows, Rubrik's solution with Cloudian additionally adds policy based management, reducing complexity. Tiering of data to Cloudian S3 Object Storage ensures that only the hottest backups are consuming SSD storage. Both solutions are scale-out so adding addition capacity is a breeze.
Introduction to Cloud Computing - CCGRID 2009James Broberg
Cloud computing has recently emerged as an exciting new trend in the ICT industry. Several IT vendors are promising to offer on-demand storage, application and computational hosting services, and provide coverage in several continents, offering Service-Level Agreements (SLA) backed performance and uptime promises for their services. While these ‘clouds’ are the natural evolution of traditional clusters and data centres, they are distinguished by following a ‘utility’ pricing model where customers are charged based on their utilisation of computational resources, storage and transfer of data. Whilst these emerging services have reduced the cost of computation, application hosting and content storage and delivery by several orders of magnitude, there is significant complexity involved in ensuring applications, services and data can scale when needed to ensure consistent and reliable operation under peak loads.
This tutorial endeavors to familiarise the audience with the new cloud computing paradigm, whilst comparing and contrasting it with existing approaches to scaling out computing resources such as cluster and grid computing. Case studies of numerous existing compute, storage and application cloud services will be given, familiarising the audience with the capabilities and limitations of current providers of cloud computing services. The hands-on interaction with these services during this tutorial will allow the audience to understand the mechanisms needed to harness cloud computing in their own respective endeavors. Finally, many open research problems that have arisen from the rapid uptake of cloud computing will be detailed, which will hopefully motivate the audience to address these in their own future research and development.
Enabling Self-Service Analytics with Logical Data Warehouse (APAC)Denodo
Watch full webinar here: https://bit.ly/3m99lpl
What makes data scientists happy? Of course, data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.
Watch on-demand this webinar to learn:
- How easily new data sources can be made available for analytics and data science
- How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion
- How LDWs help integrate self-service analytics with classic forms of business intelligence
Cloudian and Rubrik - Hybrid Cloud based Disaster RecoveryCloudian
Cloudian and Rubrik outline the benefits of using a modern hybrid cloud based approach for your VMware backups. While everyone is promising instant restores and shorter backup windows, Rubrik's solution with Cloudian additionally adds policy based management, reducing complexity. Tiering of data to Cloudian S3 Object Storage ensures that only the hottest backups are consuming SSD storage. Both solutions are scale-out so adding addition capacity is a breeze.
Introduction to Cloud Computing - CCGRID 2009James Broberg
Cloud computing has recently emerged as an exciting new trend in the ICT industry. Several IT vendors are promising to offer on-demand storage, application and computational hosting services, and provide coverage in several continents, offering Service-Level Agreements (SLA) backed performance and uptime promises for their services. While these ‘clouds’ are the natural evolution of traditional clusters and data centres, they are distinguished by following a ‘utility’ pricing model where customers are charged based on their utilisation of computational resources, storage and transfer of data. Whilst these emerging services have reduced the cost of computation, application hosting and content storage and delivery by several orders of magnitude, there is significant complexity involved in ensuring applications, services and data can scale when needed to ensure consistent and reliable operation under peak loads.
This tutorial endeavors to familiarise the audience with the new cloud computing paradigm, whilst comparing and contrasting it with existing approaches to scaling out computing resources such as cluster and grid computing. Case studies of numerous existing compute, storage and application cloud services will be given, familiarising the audience with the capabilities and limitations of current providers of cloud computing services. The hands-on interaction with these services during this tutorial will allow the audience to understand the mechanisms needed to harness cloud computing in their own respective endeavors. Finally, many open research problems that have arisen from the rapid uptake of cloud computing will be detailed, which will hopefully motivate the audience to address these in their own future research and development.
Enabling Self-Service Analytics with Logical Data Warehouse (APAC)Denodo
Watch full webinar here: https://bit.ly/3m99lpl
What makes data scientists happy? Of course, data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.
Watch on-demand this webinar to learn:
- How easily new data sources can be made available for analytics and data science
- How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion
- How LDWs help integrate self-service analytics with classic forms of business intelligence
Are you thinking about a Postgres Plus Cloud Database and don’t know where to begin? Review these slides learn the benefits of a Cloud Database GUI and its ease of use. Visit EnterpriseDB.com > Resources > Webcasts to see the webinar recording.
Scaling Multi-Cloud Deployments with Denodo: Automated Infrastructure ManagementDenodo
Watch full webinar here: https://bit.ly/3oWR1Bl
The future of infrastructure management lies in automation. In this session, Denodo subject matter expert will talk about how in a multi-cloud scenario, the infrastructure can be automatically managed transparently via a web GUI. Audience will get to see that in action through a live demo.
Technical overview in relation to the IBM SmartCloud offering (Private Cloud - IaaS) for IBM i customers: the reference architecture leverages IBM PowerVM virtualisation and IBM VMControl virtualisation and automation management capabilities. Self service portal, VM provisioning, metering and billing are provided by IBM SmartCloud Entry.
Webinar Fondazione CRUI Commvault:come adattare le strategie di data protecti...Jürgen Ambrosi
Nell'ambito del ciclo dei webinar CRUI, Commvault introduce il tema dell'adattamento delle strategie di data protection alle infrastrutture Cloud. Commvault tramite la propria piattaforma di Singular Information Management ha l’obiettivo di raggiungere un livello di protezione del dato il più elevato possibile. Abbinata alla piattaforma Microsoft Azure permette di trarre il massimo vantaggio possibile dal cloud e di garantire livelli di servizio convenienti, sicuri e flessibili. In un mercato in cui il cloud è il contesto di riferimento per la riduzione dei costi di capitale, l’uso della accoppiata Azure – Commvault permette di incrementare la velocità delle procedure, permettendo di risparmiare tempo e risorse.
La piattaforma Commvault è in grado di gestire semplicemente qualsiasi tipologia di ambiente composto da macchine fisiche, macchine virtuali, applicazioni,
desktop, laptop o cloud con la possibilità di accedere ai propri dati da semplici interfacce web o anche da applicazioni per smartphone e tablet.
Durante il seminario sono state illustrate le principali caratteristiche della piattaforma per valutarne la rilevanza per il Sistema dell’Istruzione e della Ricerca.
Aventior offers Cloud strategy that includes design & development of cloud platforms on top providers; Amazon Web Services, Google Cloud & Microsoft Azure.
In this session we talk about how IBM Services and Research have partnered to apply new approaches to migration including AI planning, pattern-driven automation and machine learning to simplify the migration process—from the pre-migration assessment phase to pattern-driven automation of the execution.
There is no doubt that Openstack represents one of the massive industry alignment towards the Open source cloud, Some even touting it to be the linux of cloud computing. But is it “THE” perfect solution ?
Vanilla Openstack is a “Myth”
The choice of Openstack as part of your cloud strategy purely depends on the kind of workload and the add-on features.
Openstack can be a serious contender especially for fresh deployments and applications that are being architected for cloud. But as the environment gets diverse(legacy integrations) Openstack can be tricky to integrate and maintain
One might require a vendor based Cloud management platform especially when the cloud strategy involves public clouds(AWS, Azure, GCE) and migration of application services across
No doubt it is fully open source, but it comes with learning curve, release cycles, Vendor specific driver integrations etc.
Interesting developments with respect to containers, docker, Kubernetes, Mesosphere etc will challenge Openstack
Openstack will no doubt will grow mature over next couple of years, until then, the hunt for the CMP continues...
Topics of interest :
to build a true hyper converged cloud ?
as an enterprise cloud management platform ?
public cloud ? (as a CSP)
Telco carrier grade cloud ?
VNF, MANO and SDN integrations
Adopting Hadoop to manage your Big Data is an important step, but not the end-solution to your Big Data challenges. Here are some of the additional considerations you must face:
Choosing the right cloud for the job: The massive computing and storage resources that are needed to support Big Data applications make cloud environments an ideal fit, and more than ever, there is a growing number of choices of cloud infrastructure types and providers. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility for all your IT needs.
Big Data is a complex beast: It involves many and different moving parts, in large clusters, and is continually growing and evolving. Managing such an environment manually is not a viable option. The question is, how can you achieve automation of all this complexity?
The world beyond Hadoop: Big Data is not just Hadoop – there is a whole rapidly growing ecosystem to contend with, including NoSQL, data processing, analytics tools… As well as your own application services. How can you manage deployment, configuration, scaling and failover of all the different pieces, in a consistent way?
In this session, you'll learn how to deploy and manage your Hadoop cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called Cloudify.
For many organizations, a move to Azure creates issues with managing costs and resource ownership. Why? Cloud-based technologies rely on a different cost model - one based on usage consumption, rather than purchasing hardware and software.
Watch our team of Azure experts and learn how to effectively plan and manage the costs associated with your Azure investment. In this webinar, you'll learn how to:
- Build an Azure cost model based on best practices
- Use chargebacks to assign and track IT usage to specific business units
- Avoid unexpected consumption expenses by seeing what - and who - is consuming data
Our team will also demo the Softchoice Azure Dashboard, a proprietary tool providing our clients with the visibility they need to align resource spend, and control their azure costs.
Are you thinking about a Postgres Plus Cloud Database and don’t know where to begin? Review these slides learn the benefits of a Cloud Database GUI and its ease of use. Visit EnterpriseDB.com > Resources > Webcasts to see the webinar recording.
Scaling Multi-Cloud Deployments with Denodo: Automated Infrastructure ManagementDenodo
Watch full webinar here: https://bit.ly/3oWR1Bl
The future of infrastructure management lies in automation. In this session, Denodo subject matter expert will talk about how in a multi-cloud scenario, the infrastructure can be automatically managed transparently via a web GUI. Audience will get to see that in action through a live demo.
Technical overview in relation to the IBM SmartCloud offering (Private Cloud - IaaS) for IBM i customers: the reference architecture leverages IBM PowerVM virtualisation and IBM VMControl virtualisation and automation management capabilities. Self service portal, VM provisioning, metering and billing are provided by IBM SmartCloud Entry.
Webinar Fondazione CRUI Commvault:come adattare le strategie di data protecti...Jürgen Ambrosi
Nell'ambito del ciclo dei webinar CRUI, Commvault introduce il tema dell'adattamento delle strategie di data protection alle infrastrutture Cloud. Commvault tramite la propria piattaforma di Singular Information Management ha l’obiettivo di raggiungere un livello di protezione del dato il più elevato possibile. Abbinata alla piattaforma Microsoft Azure permette di trarre il massimo vantaggio possibile dal cloud e di garantire livelli di servizio convenienti, sicuri e flessibili. In un mercato in cui il cloud è il contesto di riferimento per la riduzione dei costi di capitale, l’uso della accoppiata Azure – Commvault permette di incrementare la velocità delle procedure, permettendo di risparmiare tempo e risorse.
La piattaforma Commvault è in grado di gestire semplicemente qualsiasi tipologia di ambiente composto da macchine fisiche, macchine virtuali, applicazioni,
desktop, laptop o cloud con la possibilità di accedere ai propri dati da semplici interfacce web o anche da applicazioni per smartphone e tablet.
Durante il seminario sono state illustrate le principali caratteristiche della piattaforma per valutarne la rilevanza per il Sistema dell’Istruzione e della Ricerca.
Aventior offers Cloud strategy that includes design & development of cloud platforms on top providers; Amazon Web Services, Google Cloud & Microsoft Azure.
In this session we talk about how IBM Services and Research have partnered to apply new approaches to migration including AI planning, pattern-driven automation and machine learning to simplify the migration process—from the pre-migration assessment phase to pattern-driven automation of the execution.
There is no doubt that Openstack represents one of the massive industry alignment towards the Open source cloud, Some even touting it to be the linux of cloud computing. But is it “THE” perfect solution ?
Vanilla Openstack is a “Myth”
The choice of Openstack as part of your cloud strategy purely depends on the kind of workload and the add-on features.
Openstack can be a serious contender especially for fresh deployments and applications that are being architected for cloud. But as the environment gets diverse(legacy integrations) Openstack can be tricky to integrate and maintain
One might require a vendor based Cloud management platform especially when the cloud strategy involves public clouds(AWS, Azure, GCE) and migration of application services across
No doubt it is fully open source, but it comes with learning curve, release cycles, Vendor specific driver integrations etc.
Interesting developments with respect to containers, docker, Kubernetes, Mesosphere etc will challenge Openstack
Openstack will no doubt will grow mature over next couple of years, until then, the hunt for the CMP continues...
Topics of interest :
to build a true hyper converged cloud ?
as an enterprise cloud management platform ?
public cloud ? (as a CSP)
Telco carrier grade cloud ?
VNF, MANO and SDN integrations
Adopting Hadoop to manage your Big Data is an important step, but not the end-solution to your Big Data challenges. Here are some of the additional considerations you must face:
Choosing the right cloud for the job: The massive computing and storage resources that are needed to support Big Data applications make cloud environments an ideal fit, and more than ever, there is a growing number of choices of cloud infrastructure types and providers. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility for all your IT needs.
Big Data is a complex beast: It involves many and different moving parts, in large clusters, and is continually growing and evolving. Managing such an environment manually is not a viable option. The question is, how can you achieve automation of all this complexity?
The world beyond Hadoop: Big Data is not just Hadoop – there is a whole rapidly growing ecosystem to contend with, including NoSQL, data processing, analytics tools… As well as your own application services. How can you manage deployment, configuration, scaling and failover of all the different pieces, in a consistent way?
In this session, you'll learn how to deploy and manage your Hadoop cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called Cloudify.
For many organizations, a move to Azure creates issues with managing costs and resource ownership. Why? Cloud-based technologies rely on a different cost model - one based on usage consumption, rather than purchasing hardware and software.
Watch our team of Azure experts and learn how to effectively plan and manage the costs associated with your Azure investment. In this webinar, you'll learn how to:
- Build an Azure cost model based on best practices
- Use chargebacks to assign and track IT usage to specific business units
- Avoid unexpected consumption expenses by seeing what - and who - is consuming data
Our team will also demo the Softchoice Azure Dashboard, a proprietary tool providing our clients with the visibility they need to align resource spend, and control their azure costs.
Enterprise Cloud Governance: A Frictionless ApproachRightScale
As enterprise IT teams become a broker of cloud services, they need to embrace a new approach to cloud governance. Frictionless governance embeds and automates necessary controls to drive delays to zero by offering developers and business units cloud resources as quickly as teams can obtain them directly from cloud providers.
presented at FITC Amsterdam X
Details at www.fitc.ca/amsterdam
Adobe Experience Design (XD) is Adobe’s latest innovation which offers an easy and powerful way to build UX at the speed of thought. But Adobe XD isn’t just for building a design. It marries wireframing to visual design and prototyping, all in one single tool. During this session we’ll walk you through XD’s design process and show you how to start a project, build an interactive prototype, live preview your work on your mobile device and share your work with peers and clients for feedback. Don’t miss out on this unique opportunity to join Adobe on stage and discover Adobe XD’s ease-of-use and unique features.
Objective
Discover Adobe Experience Design: design, prototyping and sharing in one single tool.
Target Audience
UX and UI designers
What is Microsoft Azure?
What is Azure used for?
Why do businesses want to use someone else's hardware?
What are the advantages of virtualization?
Is Azure secure?
How does Azure stack up against the competition?
To help you make an informed decision about whether Azure is right for your business.
This provides an overview of both WIH Resource Group\'s Client-Specific Services and a summary of the parameters in developing a successful wastebyrail program.
Eol-Drupal Presentation for DrupalSouth 2008Dan Morrison
Presentation of Taxonomy Development for Drupal. Prepared for http://drupalsouth.net.nz/ regarding http://sprint.eol.org/
More EOL slides from that code sprint at http://www.slideshare.net/search/slideshow?q=eol
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
A walk through of how Microsoft Azure could platform can be a powerful tool for solution designing, proof of concepts and performance testing. Leverage Azure capabilities and technologies in early development phases in dev/test scenarios without heavy dependence of IT support. Azure can be a DIY model for quick prototyping and gaining visibility into material solution design and architectures.
Web Cast sobre SQL Server Data Services.
Saludos,
Eduardo Castro – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
Microsoft Azure Platform-as-a-Service (PaaS)Chris Dufour
Azure is Microsoft’s cloud computing platform made up of a growing collection of integrated services: compute, storage, data, networking and apps.
Azure is the only major cloud platform ranked by Gartner as an industry leader for both Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). This powerful combination of managed and unmanaged services lets you build, deploy and manage applications in any way you like for unmatched productivity.
In this talk we will take a look at Microsoft’s cloud strategy and see how you can leverage PaaS in your environment.
This is the slide I used to give overview of Microsoft Azure for Azure Camp Bandung event on Sept 29, 2014. It's one day hands-on training discussing about building and deploying API backend service on Azure VM and Azure Mobile Services, and how to access it from iOS and Android app.
Most of slide contents are taken from Azure readyness slides.
The Windows Azure Platform (MSDN Events Series)Dave Bost
This presentation was delivered as part of the MSDN Events series of technical seminars and provides a deep dive into cloud computing and the Windows Azure Platform. It starts with a developer-focused overview of the Windows Azure Platform and the cloud computing services that can be used either together or independently to build highly scalable applications. From there, the discussion explores data storage, SQL Azure, and the basics of deployment with Windows Azure.
We spend much of our time collecting and analyzing data. That data is only useful if it can be displayed in a meaningful, understandable way.
Yale professor Edward Tufte presented many ideas on how to effectively present data to an audience or end user.
In this session, I will explain some of Tufte's most important guidelines about data visualization and how you can apply those guidelines to your own data. You will learn what to include, what to remove, and what to avoid in your charts, graphs, maps and other images that represent data.
Analyzing big data is a challenge, requiring lots of processing power and storage.
Cloud Computing is an ideal platform to tackle this problem. HD Insight on Microsoft Azure deploys Hadoop and other open source big data tools to the cloud, making it easier to take advantage of the high scalability of this platform.
In this session, you will learn what tools are available in HD Insight and how to use them to store, process, and analyze large amounts of data.
We spend much of our time collecting and analyzing data. That data is only useful if it can be displayed in a meaningful, understandable way.
Yale professor Edward Tufte presented many ideas on how to effectively present data to an audience or end user.
In this session, I will explain some of Tufte's most important guidelines about data visualization and how you can apply those guidelines to your own data. You will learn what to include, what to remove, and what to avoid in your charts, graphs, maps and other images that represent data.
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/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
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
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/
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
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.
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
22. VM Gallery
A COLLECTION OF PREBUILT IMAGES FOR VARIOUS WORKLOADS
Microsoft Azure
Windows Server 2012 R2 Ubuntu Server 14.04 LTS CentOS 6.5
SUSE Linux
Enterprise Server Oracle Linux 6.4.0.0.0
Windows 8.1 Enterprise
SQL Server 2014 Standard Oracle Database 11g R2 BizTalk Server 2013 SharePoint Server Farm
Microsoft Dynamics
GP 2013
Zulu 8
SAP HANA
Developer Edition Puppet Enterprise 3.2.3 Barracuda Web Application
Oracle WebLogic
Server 12.1.2
Visual Studio Ultimate 2013
openSUSE 13.1
27. Publishing a Web App
Use prebuilt templates to build a personal Web site with technologies you know, or
create a commercial Web site that scales to serve millions of customers
36. Permissions
Pieces of Azure Mobile Apps
SQL Server table
READ
INSERT
UPDATE
DELETE
IdentityClient Code
REST Endpoint
Windows
Windows Phone
JavaScript
Xamarin
PhoneGap
iOS
Android
37. Tame Big Data with Hadoop
Spin up an Azure HDInsight cluster and
use MapReduce to process large data sets in parallel
38. Azure Machine Learning
Train a model with Azure Machine Learning and use that model to
classify credit-card transactions as fraudulent or not fraudulent
Feature Value
Name Bill Gates
Age 60
Gender Male
Amount $352.00
Purchased Software
Location Redmond, WA
Time 3:15 p.m.
… …
39. Process Data from IoT Devices
Combine Azure Event/IoT Hubs, Azure Stream Analytics,
and Azure Storage to analyze IoT data streams in real time
40. Identify Faces
Use the Cognitive Services Face API to compare
faces, identify faces, search for similar faces, and more
41. Perform Sentiment Analysis
Use the Cognitive Services Text Analytics API
to analyze sentiment in text files, Twitter feeds, and other sources
Language DetectionTopic DetectionKey Phrase ExtractionSentiment Analysis
“Thanks to Text Analytics…we are able to incorporate guest sentiment into our
actionable guest feedback platform that delivers a comprehensive view of guest
satisfaction and server performance.”
— Al Pappa, Head of Business Intelligence, Ziosk
42. Many Languages, Many SDKs
Write code in any language
and for any platform
Azure SDKs available for a
variety of languages and
platforms (free)
Also available in package
form from NuGet and NPM
Ramp up quickly by using
what you already know
.NET Node.js Java
C++
PHPRubyPython
iOS Android
43. Uploading a Blob (C#)
Create a blob using the Azure
Storage SDK for .NET
Upload the contents of a
local file to the blob
CloudStorageAccount account =
CloudStorageAccount.Parse("connection_string);
CloudBlobClient client = account.CreateCloudBlobClient();
CloudBlobContainer container =
client.GetContainerReference("container_name");
CloudBlockBlob blob =
container.GetBlockBlobReference("blob_name"));
await blob.UploadFromFileAsync("file_name");
44. Uploading a Blob (Node.js)
Create a blob using the Azure
Storage SDK for Node.js
Upload the contents of a
local file to the blob
var storage = require("azure-storage");
var service =
storage.createBlobService("connection_string");
service.createBlockBlobFromLocalFile(
"container_name", "blob_name", "file_name",
function(error, result, response) {
if (!error) {
// File uploaded
}
});
45. Uploading a Blob (Python)
Create a blob using the Azure
Storage SDK for Python
Upload the contents of a
local file to the blob
from azure.storage.blob import ContentSettings
block_blob_service = BlockBlobService(
account_name='account_name',
account_key='account_key'
)
block_blob_service.create_blob_from_path(
'container_name',
'blob_name',
'file_name',
content_settings=ContentSettings(
content_type='image/png'
)
)
Azure is generally available in 24 regions around the world, and has announced plans for 8 additional regions. Geographic expansion is a priority for Azure because it enables customers to achieve higher performance and it supports their requirements and preferences regarding data location. Newly announced regions include US DoD East, US DoD West, Germany Central, Germany Northeast, UK South, UK West, Korea Central, and Korea South. Not shown on this map are US Gov Iowa and US Gov Virginia. The Chinese and (soon) German data centers are available only in those countries due to laws regarding the storage of data in those locations. In Germany, for example, the law forbids German companies from storing data in the cloud outside Germany.
Azure is a wide-ranging and comprehensive cloud-computing platform that is evolving every day with new features and services. Currently, Azure includes more than 100 different services, ranging from IaaS services such as VMs to rich SaaS services such as Azure Machine Learning, Azure Stream Analytics, and Azure HDInsight.
Slide Objective:
Explain workflow for provisioning VMs in the cloud
Speaker Notes:
You have three methods of starting this process: Build a VM from the portal, from the command line OR programmatically calling the REST API.
Once your choice of provisioning is made you will need to select the image and instance size to start from.
The newly created disk will be stored in blob storage and your machine will boot.
Slide Objective:
Explain a wide variety of images that you can choose from.
Speaker Notes:
First of all, you can choose from different Windows Servers and a variety of Linux implementations. [Click]
As well as pre-built images for different flavors of SQL Database and Oracle databases. [Click]
You can also choose from a number of first-party and certified third-party images for various application servers and infrastructural components. [Click]
And last but not least, if you are a MSDN subscriber, you also have access to Visual Studio images and client Windows systems such as Windows 7 and Windows 8.1 for your DevTest purposes.
Slide Objective:
Explain the benefits of image mobility
Notes:
One of the key benefits of IaaS is flexibility and control. The Windows Azure solution provides the capability of not only moving VHDs TO the cloud but also allows you to copy the VHD back down and run it locally or on another cloud provider. Great for testing out production issues or any other need where you require a copy of the production server.
Azure Web Apps, which are part of the Azure App Service family, allow you to publish Web sites/apps using a variety of popular technology stacks. To help, the Microsoft Azure Marketplace contains thousands of free templates for deploying apps, services, virtual machines, and more, preconfigured for Azure and provisioned with popular tools such as WordPress, CakePHP, Joomla, and Django.
In a matter of minutes, Azure HDInsight allows you to spin up a cluster of virtual machines with Apache Hadoop, Apache Spark, and other popular open-source tools for analyzing big data. No more having to set up and maintain a hardware cluster yourself, or having to install, configure, and maintain all the software that goes on it. HDInsight lets you spend your time doing what you do best -- analyzing data -- rather than maintaining the infrastructure around it,.
Machine learning is an offshoot of AI that finds patterns in large volumes of data and uses those patterns to perform predictive analytics. A classic example of ML at work is how credit-card companies detect fraudulent transactions in real time (or near real time). They train a model with millions of transactions, each classified as "fraudulent" or "not fraudulent." Features of the model include data such as the identity of the card holder, the time and place of the transaction, the type of goods or services purchased, location of purchase, and amount of purchase. Then each time a new transaction occurs, they feed that into the model and are told whether the transaction should be flagged as fraudulent -- with an astonishing degree of accuracy. Azure Machine Learning is an SaaS offering that combines rich analytical capabilities with a drag-and-drop user interface that makes building sophisticated ML models extraordinarily easy.
Another example of how ML touches us every day is spam detection. Train a model with millions of e-mail messages, each classified as spam or not spam, and then use that model to determine whether the next message arriving in your inbox should be moved to the junk folder.
Querying static data sources such as databases is an established and well-understood science. Extracting information from fast-moving data streams, such as those emanating from millions of IoT devices, is much more challenging. Azure Stream Analytics provides a solution by layering an enhanced version of the SQL query language over dynamic data streams. Combined with other Azure features such as event hubs and Power BI, it can be used to build real-time systems that analyze -- and allow you to respond to -- events as they happen.
The Microsoft Cognitive Services Face API (https://www.microsoft.com/cognitive-services/en-us/face-api) includes methods for detecting human faces, comparing faces for similarity, organizing people into groups according to visual similarity, identifying people previously tagged people in images, and more. It is one of more than 20 APIs in the Cognitive Services family that enable developers to build intelligent apps by embedding functionality that is the product of years of research.
The Microsoft Cognitive Services Text Analytics API (https://www.microsoft.com/cognitive-services/en-us/text-analytics-api) includes methods for sentiment analysis, key-phrase extraction, topic detection, and language detection. The sentiment-analysis API accepts text as input and returns a numeric score between 0 and 1. Scores close to 1 indicate positive sentiment and scores close to 0 indicate negative sentiment. Sentiment score is generated using classification techniques. The input features of the classifier include n-grams, features generated from part-of-speech tags, and word embeddings. Currently, English, French, Spanish, and Portuguese text are supported.
You don't have to learn C# to build apps that utilize Azure. SDKs are freely available for a variety of popular languages and platforms. You can get started quickly by using what you already know.
This code sample uploads the contents of a local file to blob storage and is written in C#.
This code sample uploads the contents of a local file to blob storage and is written in JavaScript.
This code sample uploads the contents of a local file to blob storage and is written in Python.