Before juming into a Multi cloud strategy, take a moment to review all the different challenges you are likely encounter for a Disaster recovery or High availablity site on AWS GCP or Azure
Cloud Migration Patterns: A Multi-Cloud Architectural PerspectivePooyan Jamshidi
Cloud migration requires an engineering, verifiable, measurable, transparent and repeatable approach rather than an ad-hoc approach based on trial and error.
We describe a comprehensive set of (multi-)cloud migration patterns from an architectural perspective. In this work, we focus on application components and their migration to the multi-cloud environments. We define and characterize the patterns with concrete usage scenario. We also describe the process for migration pattern selection, composition and extension.
This is my presentation slide topic "Cloud Migration Principle Sharing" delivered at IDC Business Innovation Forum 2018 Bangkok, October 17, 2018
Cloud infrastructure migration is one of the key foundations for most enterprise embracing digital transformation. As SHERA PCL had already migrated all workloads to cloud in 2018, the presentation will share end-to-end cloud migration lesson learn from preparation phase, cloud selection, and actual cutover. It will covers elements such as cloud comparison (private, public, local vs global, XaaS), associated matters (applications, interface, cloud connectivity, DNS/IP, license), as well as benefits, cost, and payment model of cloud infrastructure. It will provide additional thoughts for those who are outlining for cloud infrastructure migration.
Cloud Migration Patterns: A Multi-Cloud Architectural PerspectivePooyan Jamshidi
Cloud migration requires an engineering, verifiable, measurable, transparent and repeatable approach rather than an ad-hoc approach based on trial and error.
We describe a comprehensive set of (multi-)cloud migration patterns from an architectural perspective. In this work, we focus on application components and their migration to the multi-cloud environments. We define and characterize the patterns with concrete usage scenario. We also describe the process for migration pattern selection, composition and extension.
This is my presentation slide topic "Cloud Migration Principle Sharing" delivered at IDC Business Innovation Forum 2018 Bangkok, October 17, 2018
Cloud infrastructure migration is one of the key foundations for most enterprise embracing digital transformation. As SHERA PCL had already migrated all workloads to cloud in 2018, the presentation will share end-to-end cloud migration lesson learn from preparation phase, cloud selection, and actual cutover. It will covers elements such as cloud comparison (private, public, local vs global, XaaS), associated matters (applications, interface, cloud connectivity, DNS/IP, license), as well as benefits, cost, and payment model of cloud infrastructure. It will provide additional thoughts for those who are outlining for cloud infrastructure migration.
Analyze key aspects to be considered before embarking on your cloud journey. The presentation outlines the strategies, approach, and choices that need to be made, to ensure a smooth transition to the cloud.
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.
Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...Pooyan Jamshidi
A look at the searches related to the term “microservices” on Google Trends revealed that the top searches are now technology driven. This implies that the time of general search terms such as “What is microservices?” has now long passed. Not only are software vendors (for example, IBM and Microsoft) using microservices and DevOps practices, but also content providers (for example, Netflix and the BBC) have adopted and are using them.
I report on experiences and lessons learned during incremental migration and architectural refactoring of a commercial mobile back end as a service to microservices architecture. I explain how we adopted DevOps and how this facilitated a smooth migration towards Microservices architecture.
Cloud migration is the process of transferring databases, applications, and IT processes into the cloud, or from one cloud to another. Migration in cloud computing has become quite popular among organizations as it offers anytime, anywhere access. Read this practical guide to cloud migration to know more.
Insurtech, Cloud and Cybersecurity - Chartered Insurance InstituteHenrique Centieiro
Nov. 2020 presentation on Insurtech, how cloud is enabling insurtech and cybersecurity for cloud and insurtech.
Prepared by Henrique Centieiro for CII - Chartered Insurance Institute Hong Kong
Retours d'expériences sur la conception et déploiement d'une architecture complétement multi-cloud pour la solution Omnicloud d'Astrachain (accompagnement par webofmars)
Slides présentées lors du devops DDAY du 18/11/2021
Analyze key aspects to be considered before embarking on your cloud journey. The presentation outlines the strategies, approach, and choices that need to be made, to ensure a smooth transition to the cloud.
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.
Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...Pooyan Jamshidi
A look at the searches related to the term “microservices” on Google Trends revealed that the top searches are now technology driven. This implies that the time of general search terms such as “What is microservices?” has now long passed. Not only are software vendors (for example, IBM and Microsoft) using microservices and DevOps practices, but also content providers (for example, Netflix and the BBC) have adopted and are using them.
I report on experiences and lessons learned during incremental migration and architectural refactoring of a commercial mobile back end as a service to microservices architecture. I explain how we adopted DevOps and how this facilitated a smooth migration towards Microservices architecture.
Cloud migration is the process of transferring databases, applications, and IT processes into the cloud, or from one cloud to another. Migration in cloud computing has become quite popular among organizations as it offers anytime, anywhere access. Read this practical guide to cloud migration to know more.
Insurtech, Cloud and Cybersecurity - Chartered Insurance InstituteHenrique Centieiro
Nov. 2020 presentation on Insurtech, how cloud is enabling insurtech and cybersecurity for cloud and insurtech.
Prepared by Henrique Centieiro for CII - Chartered Insurance Institute Hong Kong
Retours d'expériences sur la conception et déploiement d'une architecture complétement multi-cloud pour la solution Omnicloud d'Astrachain (accompagnement par webofmars)
Slides présentées lors du devops DDAY du 18/11/2021
As fast as a grid, as safe as a databasegojkoadzic
From the Gaming Scalability event, June 2009 in London (http://gamingscalability.org).
In this talk, Matthew Fowler from NT/e looks at the persistence issues on computing clouds. He discusses architectural principles and problems that cloud persistence presents to application developers and presents a possible solution, focusing on the key ideas, the tooling and the deployment options.
Matthew Fowler runs the Java business unit of New Technology/enterprise. Matthew received a BSc in Computer Science from MIT. He has developed and marketed products in many areas of software - LANs, WANs, software tools, language processors and generation of enterprise applications. His current interests are system generation and grid/cloud applications.
ScyllaDB CTO Avi Kivity looks at the present state of Scylla's capabilities, and offers a glimpse of what's to come. From incremental compaction strategy to take advantage of newer, denser nodes, to data transformations with User Defined Functions (UDFs) and User Defined Aggregates (UDAs), ScyllaDB continues to expand its horizons for capabilities, use cases and APIs.
Kaseya Connect 2013: Optimizing Your K Server - Best Practices in Kaseya Infr...Kaseya
Do you think you have maximized your Kaseya Server for your current environment? Are you running into performance issues that are difficult to address? Are you planning for future grown? Well this session is what you were looking for! Join us in this technical session as you hear from Kaseya Experts and how they have tuned Kaseya to scale and manage thousands of devices on a single virtual machine including IIS, SQL and Kaseya specific optimization techniques.
Automation of Hadoop cluster operations in Arm Treasure DataYan Wang
This talk will focus on the journey we in the Arm Treasure Data hadoop team is on to simplify and automate how we deploy hadoop. In Arm Treasure Data, up to recently we were running hadoop clusters in two clouds. Due to fast increase of deployments into more sites, the overhead of manual operations has started to strain us. Due to this, we started a project last year to automate and simplify how we deploy using tools like AWS autoscaling groups. Steps we have taken so far are modernize and standardize instance types, moved from manually executed deployment scripts to api triggered work flows, actively working to deprecate chef in favor of debian packages and AWS Codedeploy. We have also started to automate a lot of operations that up to recently were manual, like scaling in and out clusters, and routing traffic between clusters. We also started simplify health check and node snapshotting. And our goal of the year is close to fully automated cluster operations.
Getting started in the cloud for developersMariaDB plc
Looking to get up and running in the cloud, and start building applications with MariaDB as fast as possible? In this session, Thomas Boyd walks through the quick-start process of deploying MariaDB in the most popular public clouds. He then touches on some of the essential differences between cloud database services, helping you to create the cloud database strategy that best meets your needs.
Pro Tips: When to Choose Private vs Public vs Hybrid CloudPenguin Computing
High Performance Computing (HPC) on Demand*HPC Cloud*Supercomputing*Beowulf Clusters*IT Infrastrucutre*Linux*Open Source -- Will Cottay, Director of Cloud Services for Penguin Computing, presented at the Penguin Computing booth theater during SC18 about what factors to consider before deciding to switch to private, public, or hybrid HPC cloud.
Hybrid clouds provide a good balance between the privacy offered by private clouds and the elasticity and reliability of public clouds. The presentation offers an introduction to the decision criteria when switching from a private to a hybrid cloud architecture and where to start from.
Global Infrastructure Information Service Brochure.
This is powerful ITAM and System Automation service.
It works Linux and Windows every cloud and legacy machine.
You can use many type of script.
- wsf(Windows Script Host File)
- vbs(Visual Basic Script)
- bat(Windows Batch file)
- sh(Linux Shell/Bash)
- py(Python)
- rb(Ruby, CHEF)
- go(Go, Docker)
Presentation for IGDCloud meetup: The clouds arena AWS ver. othersForthscale
Cloud solutions power millions of companies worldwide. Market leader, Amazon Web Services, is challenged by new, aggressive players and consumers benefit from additional offerings, more computing power and even more flexible pricing.
Knowledge is power, so learn what is the right solution for your business on every stage. Get independent data and benchmarks of Softlayer, GoGrid, Rackspace, Linode and ProfitBricks.
Webinar: Considering Hyperconverged for Your Enterprise? 3 Key Questions to AskStorage Switzerland
Over the last few years, Hyper-Converged Infrastructure (HCI) deployments have been on the increase. HCI combines server, storage and networking into a single system building block, however, it introduces many new complexities into your environment. Join Storage Switzerland and Datrium as we discuss the three key questions that enterprises need to ask when considering hyperconverged architectures.
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty at Shoppertrak - J...AWS Chicago
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty, Director of Technology Operations at Shoppertrak
From the July 11 AWS user group event at Motorola Solutions
Evolvable architecture for hybrid multicloud with sdnJames Kelly
3-part outline:
1. Why evolvable technology matter: technology agility is the brother of a) continuous improvement in processes and b) continuous learning in people
2. What is multicloud and hybrid cloud, Why end-to-end and top-to-bottom
3. What is evolvable and agile mean for multicloud IT platforms: in multiple layers of app/platform engineering, devops pipeline engineering, cluster ops and site reliability engineering, and IaaS or infrastructure & ops engineering - special focus on SDN here.
Couchbase Data Platform | Big Data DemystifiedOmid Vahdaty
Couchbase is a popular open source NoSQL platform used by giants like Apple, LinkedIn, Walmart, Visa and many others and runs on-premise or in a public/hybrid/multi cloud.
Couchbase has a sub-millisecond K/V cache integrated with a document based DB, a unique and many more services and features.
In this session we will talk about the unique architecture of Couchbase, its unique N1QL language - a SQL-Like language that is ANSI compliant, the services and features Couchbase offers and demonstrate some of them live.
We will also discuss what makes Couchbase different than other popular NoSQL platforms like MongoDB, Cassandra, Redis, DynamoDB etc.
At the end we will talk about the next version of Couchbase (6.5) that will be released later this year and about Couchbase 7.0 that will be released next year.
Machine Learning Essentials Demystified part2 | Big Data DemystifiedOmid Vahdaty
achine Learning Essentials Abstract:
Machine Learning (ML) is one of the hottest topics in the IT world today. But what is it really all about?
In this session we will talk about what ML actually is and in which cases it is useful.
We will talk about a few common algorithms for creating ML models and demonstrate their use with Python. We will also take a peek at Deep Learning (DL) and Artificial Neural Networks and explain how they work (without too much math) and demonstrate DL model with Python.
The target audience are developers, data engineers and DBAs that do not have prior experience with ML and want to know how it actually works.
Machine Learning Essentials Demystified part1 | Big Data DemystifiedOmid Vahdaty
Machine Learning Essentials Abstract:
Machine Learning (ML) is one of the hottest topics in the IT world today. But what is it really all about?
In this session we will talk about what ML actually is and in which cases it is useful.
We will talk about a few common algorithms for creating ML models and demonstrate their use with Python. We will also take a peek at Deep Learning (DL) and Artificial Neural Networks and explain how they work (without too much math) and demonstrate DL model with Python.
The target audience are developers, data engineers and DBAs that do not have prior experience with ML and want to know how it actually works.
The technology of fake news between a new front and a new frontier | Big Dat...Omid Vahdaty
קוראים לי ניצן אור קדראי ואני עומדת בצומת המעניינת שבין טכנולוגיה, מדיה ואקטיביזם.
בארבע וחצי השנים האחרונות אני עובדת בידיעות אחרונות, בהתחלה כמנהלת המוצר של אפליקציית ynet וכיום כמנהלת החדשנות.
הייתי שותפה בהקמת עמותת סטארט-אח, עמותה המספקת שירותי פיתוח ומוצר עבור עמותות אחרות, ולאחרונה מתעסקת בהקמת קהילה שמטרתה לחקור את ההיבטים הטכנולוגיים של תופעת הפייק ניוז ובניית כלים אפליקטיביים לצורך ניהול חכם של המלחמה בתופעה.
ההרצאה תדבר על תופעת הפייק ניוז. נתמקד בטכנולוגיה שמאפשרת את הפצת הפייק ניוז ונראה דוגמאות לשימוש בטכנולוגיה זו.
נבחן את היקף התופעה ברשתות החברתיות ונלמד איך ענקיות הטכנולוגיה מנסות להילחם בה.
Big Data in 200 km/h | AWS Big Data Demystified #1.3 Omid Vahdaty
What we're about
A while ago I entered the challenging world of Big Data. As an engineer, at first, I was not so impressed with this field. As time went by, I realised more and more, The technological challenges in this area are too great to master by one person. Just look at the picture in this articles, it only covers a small fraction of the technologies in the Big Data industry…
Consequently, I created a meetup detailing all the challenges of Big Data, especially in the world of cloud. I am using AWS infrastructure to answer the basic questions of anyone starting their way in the big data world.
how to transform data (TXT, CSV, TSV, JSON) into Parquet, ORCwhich technology should we use to model the data ? EMR? Athena? Redshift? Spectrum? Glue? Spark? SparkSQL?how to handle streaming?how to manage costs?Performance tips?Security tip?Cloud best practices tips?
Some of our online materials:
Website:
https://big-data-demystified.ninja/
Youtube channels:
https://www.youtube.com/channel/UCzeGqhZIWU-hIDczWa8GtgQ?view_as=subscriber
https://www.youtube.com/channel/UCMSdNB0fGmX5dXI7S7Y_LFA?view_as=subscriber
Meetup:
https://www.meetup.com/AWS-Big-Data-Demystified/
https://www.meetup.com/Big-Data-Demystified
Facebook Group :
https://www.facebook.com/groups/amazon.aws.big.data.demystified/
Facebook page (https://www.facebook.com/Amazon-AWS-Big-Data-Demystified-1832900280345700/)
Audience:
Data Engineers
Data Science
DevOps Engineers
Big Data Architects
Solution Architects
CTO
VP R&D
Making your analytics talk business | Big Data DemystifiedOmid Vahdaty
MAKING YOUR ANALYTICS TALK BUSINESS
Aligning your analysis to the business is fundamental for all types of analytics (digital or product analytics, business intelligence, etc) and is vertical- and tool agnostic. In this talk we will build on the discussion that was started in the previous meetup, and will discuss how analysts can learn to derive their stakeholders' expectations, how to shift from metrics to "real" KPIs, and how to approach an analysis in order to create real impact.
This session is primarily geared towards those starting out into analytics, practitioners who feel that they are still struggling to prove their value in the organization or simply folks who want to power up their reporting and recommendation skills. If you are already a master at aligning your analysis to the business, you're most welcome as well: join us to share your experiences so that we can all learn from each other and improve!
Bios:
Eliza Savov - Eliza is the team lead of the Customer Experience and Analytics team at Clicktale, the worldwide leader in behavioral analytics. She has extensive experience working with data analytics, having previously worked at Clicktale as a senior customer experience analyst, and as a product analyst at Seeking Alpha.
BI STRATEGY FROM A BIRD'S EYE VIEW (How to become a trusted advisor) | Omri H...Omid Vahdaty
In the talk we will discuss how to break down the company’s overall goals all the way to your BI team’s daily activities in 3 simple stages:
1. Understanding the path to success - Creating a revenue model
2. Gathering support and strategizing - Structuring a team
3. Executing - Tracking KPIs
Bios:
Omri Halak -Omri is the director of business operations at Logz.io, an intelligent and scalable machine data analytics platform built on ELK & Grafana that empowers engineers to monitor, troubleshoot, and secure mission-critical applications more effectively. In this position, Omri combines actionable business insights from the BI side with fast and effective delivery on the Operations side. Omri has ample experience connecting data with business, with previous positions at SimilarWeb as a business analyst, at Woobi as finance director, and as Head of State Guarantees at Israel Ministry of Finance.
AI and Big Data in Health Sector Opportunities and challenges | Big Data Demy...Omid Vahdaty
Lecturer has Deep experience defining Cloud computing, security models for IaaS, PaaS, and SaaS architectures specifically as the architecture relates to IAM. Deep Experience Defining Privacy protection Policy, a big fan of GDPR interpretation.
DeelExperience in Information security, Defining Healthcare security best practices including AI and Big Data, IT Security and ICS security and privacy controls in the industrial environments.
Deep knowledge of security frameworks such as Cloud Security Alliance (CSA), International Organization for Standardization (ISO), National Institute of Standards and Technology (NIST), IBM ITCS104 etc.
What Will You learn:
Every day, the website collects a huge amount of data. The data allows to analyze the behavior of Internet users, their interests, their purchasing behavior and the conversion rates. In order to increase business, big data offers the tools to analyze and process data in order to reveal competitive advantages from the data.
What Healthcare has to do with Big Data
How AI can assist in patient care?
Why some are afraid? Are there any dangers?
Aerospike meetup july 2019 | Big Data DemystifiedOmid Vahdaty
Building a low latency (sub millisecond), high throughput database that can handle big data AND linearly scale is not easy - but we did it anyway...
In this session we will get to know Aerospike, an enterprise distributed primary key database solution.
- We will do an introduction to Aerospike - basic terms, how it works and why is it widely used in mission critical systems deployments.
- We will understand the 'magic' behind Aerospike ability to handle small, medium and even Petabyte scale data, and still guarantee predictable performance of sub-millisecond latency
- We will learn how Aerospike devops is different than other solutions in the market, and see how easy it is to run it on cloud environments as well as on premise.
We will also run a demo - showing a live example of the performance and self-healing technologies the database have to offer.
ALIGNING YOUR BI OPERATIONS WITH YOUR CUSTOMERS' UNSPOKEN NEEDS, by Eyal Stei...Omid Vahdaty
ALIGNING YOUR BI OPERATIONS WITH YOUR CUSTOMERS' UNSPOKEN NEEDS
-Learn how to connect BI and product management to solve business problems
-Discover how to lead clients to ask the right questions to get the data and insight they really want
-Get pointers on saving your time and your company's resources by understanding what your customers need, not what they ask for
AWS Big Data Demystified #1.2 | Big Data architecture lessons learned Omid Vahdaty
A while ago I entered the challenging world of Big Data. As an engineer, at first, I was not so impressed with this field. As time went by, I realised more and more, The technological challenges in this area are too great to master by one person. Just look at the picture in this articles, it only covers a small fraction of the technologies in the Big Data industry…
Consequently, I created a meetup detailing all the challenges of Big Data, especially in the world of cloud. I am using AWS & GCP and Data Center infrastructure to answer the basic questions of anyone starting their way in the big data world.
how to transform data (TXT, CSV, TSV, JSON) into Parquet, ORC,AVRO which technology should we use to model the data ? EMR? Athena? Redshift? Spectrum? Glue? Spark? SparkSQL? GCS? Big Query? Data flow? Data Lab? tensor flow? how to handle streaming? how to manage costs? Performance tips? Security tip? Cloud best practices tips?
In this meetup we shall present lecturers working on several cloud vendors, various big data platforms such hadoop, Data warehourses , startups working on big data products. basically - if it is related to big data - this is THE meetup.
Some of our online materials (mixed content from several cloud vendor):
Website:
https://big-data-demystified.ninja (under construction)
Meetups:
https://www.meetup.com/Big-Data-Demystified
https://www.meetup.com/AWS-Big-Data-Demystified/
You tube channels:
https://www.youtube.com/channel/UCMSdNB0fGmX5dXI7S7Y_LFA?view_as=subscriber
https://www.youtube.com/channel/UCzeGqhZIWU-hIDczWa8GtgQ?view_as=subscriber
Audience:
Data Engineers
Data Science
DevOps Engineers
Big Data Architects
Solution Architects
CTO
VP R&D
AWS Big Data Demystified #3 | Zeppelin + spark sql, jdbc + thrift, ganglia, r...Omid Vahdaty
AWS Big Data Demystified is all about knowledge sharing b/c knowledge should be given for free. in this lecture we will dicusss the advantages of working with Zeppelin + spark sql, jdbc + thrift, ganglia, r+ spark r + livy, and a litte bit about ganglia on EMR.\
subscribe to you youtube channel to see the video of this lecture:
https://www.youtube.com/channel/UCzeGqhZIWU-hIDczWa8GtgQ?view_as=subscriber
Amazon aws big data demystified | Introduction to streaming and messaging flu...Omid Vahdaty
amazon aws big data demystified meetup:
https://www.meetup.com/AWS-Big-Data-Demystified/
Introduction to streaming and messaging flume kafka sqs kinesis
AWS Big Data Demystified #1: Big data architecture lessons learned Omid Vahdaty
AWS Big Data Demystified #1: Big data architecture lessons learned . a quick overview of a big data techonoligies, which were selected and disregard in our company
The video: https://youtu.be/l5KmaZNQxaU
dont forget to subcribe to the youtube channel
The website: https://amazon-aws-big-data-demystified.ninja/
The meetup : https://www.meetup.com/AWS-Big-Data-Demystified/
The facebook group : https://www.facebook.com/Amazon-AWS-Big-Data-Demystified-1832900280345700/
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
2. High Level Challenges
● Management of multi cloud services and servers from single GUI
● Automation (CI , CD, CT)
● Procurement, Accounting, and Billing
● Network considerations of HA
● High level motivation :
○ Active/Active HA on multi cloud ?
○ Active/Passive DR multi cloud?
3. Understand your application
● What stays the same:
○ Should run the same on all cloud: Services or servers?
■ IaaS
■ PaaS
○ Same operational procedures on all clouds
● What changes
○ Security
○ Accounting
4. Testing on multi cloud
● Performance
○ Mostly load balancer
○ NoSQL DB and In memory (redis)
● Data accuracy
● Usability
● backup cloud platform is expected to fall a bit
short in performance since it's intended for
temporary use, but data accuracy must be on
the money.
5. Cloud Redundancy & Failover strategy
● Think about ACID
○ How to ensure data won't be lost during a switch from one cloud to
another
○ Strongly Consistency? Eventually consistent?
○ Isolation?
○ Durability - Persistence -
■ RAM - not durable.
■ Disk? - may perform less.
■ Hybrid? May lose several second.
6. Cloud Redundancy & Failover strategy
● think through your data sync operations
(synchronic, synchronic, qurum, replicas etc).
● Network Latency … :(
○ Geographic (cross continent vs. cross city)
○ WAN latency across datacenters
○ LAN latency across datacenters
● Failover
○ Application layer failover? Or DevOPS layer
failover?
○ Time to fail over? 20min? >1H? > 1D?
○ Graceful failure?
7. Cost
● Data: If collocate all your data - it is not going to be cheap :(
● Compute: elastic
● HR: Will increase complexity of your DevOps team
○ Headcount
○ DevOps Skill set of 2 cloud vendors...
