I got slide by bunnie (@bunniestudios)
Why I Like Hardware Hacking (and if you haven't tried it, here's a few tips on getting started!) bunnie
video
https://youtu.be/RVI77LwkeM0
https://togetter.com/li/1329842
With traditional software unit tests, there's never a guarantee that an application will actually function correctly in the production environment. And when you add microservices, remote resources that are accessible over a network, into the mix, testing is more tricky. To make things even harder, microservices typically need to collaborate with additional network-based microservices, making testing even more challenging. Moving to microservices implies a change in the mindset of developers, so will using old testing techniques with new architectures still work?
In this session, you'll learn test strategies that solve the most common issues likely to be encountered when writing tests for a microservices architecture. We will look at how tools such as Arquillian, JUnit, Docker and techniques such as service virtualization, consumer-driven testing and testing in production with Istio can aid in accomplishing this task.
Nagios Conference 2014 - Gerald Combs - A Trillion TruthsNagios
Gerald Combs's presentation on A Trillion Truths.
The presentation was given during the Nagios World Conference North America held Oct 13th - Oct 16th, 2014 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/conference
VISUG - Approaches for application request throttlingMaarten Balliauw
Speaking from experience building a SaaS: users are insane. If you are lucky, they use your service, but in reality, they probably abuse. Crazy usage patterns resulting in more requests than expected, request bursts when users come back to the office after the weekend, and more! These all pose a potential threat to the health of our web application and may impact other users or the service as a whole. Ideally, we can apply some filtering at the front door: limit the number of requests over a given timespan, limiting bandwidth, ...
In this talk, we’ll explore the simple yet complex realm of rate limiting. We’ll go over how to decide on which resources to limit, what the limits should be and where to enforce these limits – in our app, on the server, using a reverse proxy like Nginx or even an external service like CloudFlare or Azure API management. The takeaway? Know when and where to enforce rate limits so you can have both a happy application as well as happy customers.
The presentation shows how architecture evolves in hyper grow companies like Qualtrics, Amazon or Netflix. It goes from monolith, through microservices to a multi-datacenter deployment. It includes a demo of 3 resilience patterns. Demo code can be found here: https://github.com/michalkutyla/resilience4j-demo
Need to-know patterns building microservices - java oneVincent Kok
Microservices are still the rage—and for good reason. However, like any other emerging architecture, they’re not a silver bullet and anyone who adopts this architecture will need to learn and identify new patterns, patterns you didn’t need to know about in a monolithic world. This session discusses when to make the switch to a microservice architecture and the patterns Atlassian has identified in building microservices. They include patterns in code organization, configuration management, deployment, resilience, and decomposition. After this session, you will be able to identify whether you should give microservice architecture a try and, if so, you will have a toolbox full of patterns to apply in your own situation.
Why Kubernetes Freedom Requires Chaos Engineering to Shine in ProductionScyllaDB
Like any other technology transformation, k8s adoption typically starts with small “pet projects.” One k8s cluster here, another one over there. If you don’t pay attention, you may end up like many organizations these days, something that spreads like wildfire: hundreds or thousands of k8s clusters, owned by different teams, spread across on-premises and in the cloud, some shared, some very isolated.
When we start building applications for k8s, we often lose sight of the larger picture of where it would be deployed and moreover what the technical constraints of our targeted environment are.
Sometimes, we even think that k8s is that magician that will make all our hardware constraints disappear.
In reality, Kubernetes requires you to define quotas on nodes, namespaces, resource limits on our pods to make sure that your workload will be reliable. In case of heavy pressure, k8s will evict pods to remove pressure on your nodes, but eviction could have a significant impact on your end-users.
How can we proactively test our settings and measure the impact of k8s events to our users? The simple answer to this question is Chaos Engineering.
During this presentation we will use real production stories to explain:
•The various Kubernetes settings that we could implement to avoid major production outages.
•How to Define the Chaos experiments that will help us to validate our settings
•The importance of combining Load testing and Chaos engineering
•The Observability pillars that we will help us validating our experiments
CONFidence 2018: Who and why should fear hardware trojans? (Adam Kostrzewa)PROIDEA
Can we trust our processors, routers and other electronic IP components? This important question is often left unanswered. Due to the high production complexity and costs of very-large-scale integration (VLSI) resulting from contemporary transistor designs, the majority of regular users have little to no choice when selecting hardware components and even lower a possibility of validating them. Consequently, many of us are forced to depend on the honesty of big corporations and the assumption that if we apply a commonly used component from a known provider sooner or later someone will find such a threat for us. However, this does not negate the technical feasibility of hardware attacks, proved by research results, neither confirms that our hardware is thoroughly tested e.g. Meltdown and Spectre bugs in Intel CPUs. Moreover, recent scandals, for instance Snowden’s affair, has shown that there are organizations and institutions capable of enormous efforts to compromise the security. The goal of the presentation is to familiarize the audience with current research results on so-called ‘hardware trojan’, understood as intentional manipulations of integrated circuits (ICs) that weaken or compromise the security of the systems.
With traditional software unit tests, there's never a guarantee that an application will actually function correctly in the production environment. And when you add microservices, remote resources that are accessible over a network, into the mix, testing is more tricky. To make things even harder, microservices typically need to collaborate with additional network-based microservices, making testing even more challenging. Moving to microservices implies a change in the mindset of developers, so will using old testing techniques with new architectures still work?
In this session, you'll learn test strategies that solve the most common issues likely to be encountered when writing tests for a microservices architecture. We will look at how tools such as Arquillian, JUnit, Docker and techniques such as service virtualization, consumer-driven testing and testing in production with Istio can aid in accomplishing this task.
Nagios Conference 2014 - Gerald Combs - A Trillion TruthsNagios
Gerald Combs's presentation on A Trillion Truths.
The presentation was given during the Nagios World Conference North America held Oct 13th - Oct 16th, 2014 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/conference
VISUG - Approaches for application request throttlingMaarten Balliauw
Speaking from experience building a SaaS: users are insane. If you are lucky, they use your service, but in reality, they probably abuse. Crazy usage patterns resulting in more requests than expected, request bursts when users come back to the office after the weekend, and more! These all pose a potential threat to the health of our web application and may impact other users or the service as a whole. Ideally, we can apply some filtering at the front door: limit the number of requests over a given timespan, limiting bandwidth, ...
In this talk, we’ll explore the simple yet complex realm of rate limiting. We’ll go over how to decide on which resources to limit, what the limits should be and where to enforce these limits – in our app, on the server, using a reverse proxy like Nginx or even an external service like CloudFlare or Azure API management. The takeaway? Know when and where to enforce rate limits so you can have both a happy application as well as happy customers.
The presentation shows how architecture evolves in hyper grow companies like Qualtrics, Amazon or Netflix. It goes from monolith, through microservices to a multi-datacenter deployment. It includes a demo of 3 resilience patterns. Demo code can be found here: https://github.com/michalkutyla/resilience4j-demo
Need to-know patterns building microservices - java oneVincent Kok
Microservices are still the rage—and for good reason. However, like any other emerging architecture, they’re not a silver bullet and anyone who adopts this architecture will need to learn and identify new patterns, patterns you didn’t need to know about in a monolithic world. This session discusses when to make the switch to a microservice architecture and the patterns Atlassian has identified in building microservices. They include patterns in code organization, configuration management, deployment, resilience, and decomposition. After this session, you will be able to identify whether you should give microservice architecture a try and, if so, you will have a toolbox full of patterns to apply in your own situation.
Why Kubernetes Freedom Requires Chaos Engineering to Shine in ProductionScyllaDB
Like any other technology transformation, k8s adoption typically starts with small “pet projects.” One k8s cluster here, another one over there. If you don’t pay attention, you may end up like many organizations these days, something that spreads like wildfire: hundreds or thousands of k8s clusters, owned by different teams, spread across on-premises and in the cloud, some shared, some very isolated.
When we start building applications for k8s, we often lose sight of the larger picture of where it would be deployed and moreover what the technical constraints of our targeted environment are.
Sometimes, we even think that k8s is that magician that will make all our hardware constraints disappear.
In reality, Kubernetes requires you to define quotas on nodes, namespaces, resource limits on our pods to make sure that your workload will be reliable. In case of heavy pressure, k8s will evict pods to remove pressure on your nodes, but eviction could have a significant impact on your end-users.
How can we proactively test our settings and measure the impact of k8s events to our users? The simple answer to this question is Chaos Engineering.
During this presentation we will use real production stories to explain:
•The various Kubernetes settings that we could implement to avoid major production outages.
•How to Define the Chaos experiments that will help us to validate our settings
•The importance of combining Load testing and Chaos engineering
•The Observability pillars that we will help us validating our experiments
CONFidence 2018: Who and why should fear hardware trojans? (Adam Kostrzewa)PROIDEA
Can we trust our processors, routers and other electronic IP components? This important question is often left unanswered. Due to the high production complexity and costs of very-large-scale integration (VLSI) resulting from contemporary transistor designs, the majority of regular users have little to no choice when selecting hardware components and even lower a possibility of validating them. Consequently, many of us are forced to depend on the honesty of big corporations and the assumption that if we apply a commonly used component from a known provider sooner or later someone will find such a threat for us. However, this does not negate the technical feasibility of hardware attacks, proved by research results, neither confirms that our hardware is thoroughly tested e.g. Meltdown and Spectre bugs in Intel CPUs. Moreover, recent scandals, for instance Snowden’s affair, has shown that there are organizations and institutions capable of enormous efforts to compromise the security. The goal of the presentation is to familiarize the audience with current research results on so-called ‘hardware trojan’, understood as intentional manipulations of integrated circuits (ICs) that weaken or compromise the security of the systems.
Expecto Performa! The Magic and Reality of Performance TuningAtlassian
In the enterprise there are rarely simple solutions to highly nuanced problems that satisfy all needs. Several customers might each ask "How do I make Jira/Confluence faster?" and each require a different answer. Using this example, this talk will pick apart the inputs, outputs, concerns, and realities of answering a short question with a long answer. We'll then discuss real-world examples from our own internal instances, to give you a taste of the process we've gone through to solve our own performance problems, and to show why there is no simple playbook; "it depends" on a lot! The key takeaways are:
* The importance of having a shared definition of performance
* The importance of having agreed-upon priorities, including what isn't important
* The importance of measuring (allthethings) and understanding them
* The thing you think is the problem might not be the problem, and vice versa.
* The real world and the ideal world tend to look nothing alike!
This slide is a comprehensive presentation of the talks delivered in Defcon by Robert Stucke and Luke Young.
This was presented at Null June Meetup Bangalore by me
Bliley Technologies company overview.
For more than 85 years, we’ve been crafting some of the highest performing frequency control devices in the universe. Today, we’re excited to set the stage for the next 85 years.
We invite you to be a part of this next chapter.
OSDC 2015: Martin Gerhard Loschwitz - Kristian Köhntopp | 45 Minutes of OpenS...NETWAYS
OpenStack has been dominating the news on Open Source cloud computing for more than two years now - and there is no end in sight for the hype. If you have been looking into cloud computing, you will most likely have considered OpenStack as a possible solution. You will also have heard success stories of large organizations such as Rackspace or CERN. And of course people told you about all the glittering parties held during the semi-annual OpenStack summits.
What you probably haven't heard that often are stories about all the occasions where OpenStack will blow up right in your face. At SysEleven, we've been working on an OpenStack platform for more than a year now - and we would like to share our experiences with you in this presentation. We'll explain why we have decided to go with OpenStack in the first place, what problems we have ran into and how we solved them. We'll demonstrate what our platform looks like at the moment and what challenges we are currently working on. At the end, you will have a better understanding of what OpenStack means for ISPs and what kind of trouble you are signing up for when becoming an OpenStacker.
OSDC 2015: Martin Gerhard Loschwitz - Kristian Köhntopp | 45 Minutes of OpenS...NETWAYS
OpenStack has been dominating the news on Open Source cloud computing for more than two years now - and there is no end in sight for the hype. If you have been looking into cloud computing, you will most likely have considered OpenStack as a possible solution. You will also have heard success stories of large organizations such as Rackspace or CERN. And of course people told you about all the glittering parties held during the semi-annual OpenStack summits.
What you probably haven't heard that often are stories about all the occasions where OpenStack will blow up right in your face. At SysEleven, we've been working on an OpenStack platform for more than a year now - and we would like to share our experiences with you in this presentation. We'll explain why we have decided to go with OpenStack in the first place, what problems we have ran into and how we solved them. We'll demonstrate what our platform looks like at the moment and what challenges we are currently working on. At the end, you will have a better understanding of what OpenStack means for ISPs and what kind of trouble you are signing up for when becoming an OpenStacker.
Deep submicron-backdoors-ortega-syscan-2014-slidesortegaalfredo
Malicious hardware is a mature topic but previous research has focused almost exclusively on theoretical applications. In this article, practical implementations of gate-level backdoors will be presented using the Verilog hardware description language, then simulated and finally synthesized using freely available deep sub-micron (45-180 nm) standard cells, resulting in a backdoored latest-generation ARM CPU, suitable for fabrication and massive deployment.
Why I love Kubernetes Failure Stories and you should too - GOTO BerlinHenning Jacobs
Talk held on 2019-10-24 at GOTO Berlin:
Everybody loves failure stories, but maybe for the wrong reasons: Schadenfreude and Internet comment threads are the dark side; continuous improvement through blameless postmortems, sharing incidents, and documenting learnings is what motivated me to compile the list of Kubernetes Failure Stories. Kubernetes gives us a infrastructure platform to talk in the same "language" and foster collaboration across organizations. In this talk, I will walk you through our horror stories of operating 100+ clusters and share the insights we gained from incidents, failures, user reports and general observations. I will highlight why Kubernetes makes sense despite its perceived complexity. Our failure stories will be sourced from recent and past incidents, so the talk will be up-to-date with our latest experiences.
https://gotober.com/2019/sessions/1129/why-i-love-kubernetes-failure-stories-and-you-should-too
Presentation with Pere Villega (https://www.linkedin.com/in/perevillega/) about Blockchain (esp Bitcoin and Ethereum). Relating Blockchain to FP through foldLeft in Event Sourcing, then adding Crypto hashing and Distributed systems thinking and consensus.
What's really the difference between a VM and a Container?Adrian Otto
Docker, Kubernetes, Mesos, and the container buzzword bingo game leaves us all asking this same question at some point. We know VMs are great, so why all this fuss now about containers? Are they the same thing, but better? This talk will go deep into the technical details of the fundamental differences between the technology, explaining in depth how each of them works, and where each of them shine and why businesses choose one over the other. You will also get a good sense of where the warts are too, so you know when to pick the right one (or the right combination of them) depending on what’s important for each of your various workloads.
Altiums Amazing Features - Project Management Tools - Welcome to OXELTECH.pdfaud Scarlet
Altium Designer is considered the epitome of EDA tools for hardware design engineers when it comes to professional schematic and PCB design. It is inclusive and encompassing as far as all the steps in the design and management process are concerned.
There are lots of reasons to decommission a data centre.
Perhaps you’re closing down an office? Or saving money by outsourcing your Disaster Recovery? Maybe your hardware is reaching end-of-life and you’re moving to the cloud?
But It’s not an easy project. It can take longer than expected, eating into cost-savings and brings an increased risk of service-interruption.
Key takeaways:
• A checklist for Discovery, Implementation and Disposal stages
• How to create an accurate budget and timetable
• Choosing between a phased or ‘big bang’ approach
4Developers 2015: Refactoring za duże pieniądze, pierwsze kroki - Michał GrucaPROIDEA
Michał Gruca
Language: Polish
Wielu z nas miało ten moment w trakcie kariery (albo dopiero cała zabawa przed nimi), kiedy idzie się do szefa powiedzieć, że tak już się nie da dalej ciągnąć i trzeba cały ten soft przepisać albo zrifaktorować (i to bez szwagra).
Dla tej (podejrzewam, że większej) części z nas, która zna gorycz porażki w walce z biznesem o jakość, dedykuję ten talk. Przechodziłem w swoim życiu kilka razy ten cykl, próbowałem przepchnąć zmiany większe i mniejsze. Po kilku latach (i próbach), mam pewne sukcesy na tym polu i czas podzielić się z innymi jak do tematu można podejść.
Podczas wykładu spojrzymy na to czym jest ten cały refactoring, jak można do tematu podejść, zaplanować oraz przede wszystkim jak przekonać biznes by na niego kasę wyłożył.
Nie będę ściemniać, sukces nie jest murowany więc pochylimy się też nad tematem co zrobić jak kasy nie będzie a kod trzeba i tak ratować.
Deploying 3 times a day without a downtime @ Rocket Tech Summit in BerlinAlessandro Nadalin
A look at how we try to make our architecture robust, resilient and fun to work with: Namshi is not github or spotify but... ...imitation is the sincerest form of flattery!
Ideal 3D Stacked Die Test - IEEE Semiconductor Wafer Test Workshop SWTW 2013Ira Feldman
My presentation from IEEE SWTW 2013 - For a full description please see my blog:
http://hightechbizdev.com/2013/06/10/ira-feldman-high-technology-business-development-ieee-semiconductor-wafer-test-workshop-2013/
Expecto Performa! The Magic and Reality of Performance TuningAtlassian
In the enterprise there are rarely simple solutions to highly nuanced problems that satisfy all needs. Several customers might each ask "How do I make Jira/Confluence faster?" and each require a different answer. Using this example, this talk will pick apart the inputs, outputs, concerns, and realities of answering a short question with a long answer. We'll then discuss real-world examples from our own internal instances, to give you a taste of the process we've gone through to solve our own performance problems, and to show why there is no simple playbook; "it depends" on a lot! The key takeaways are:
* The importance of having a shared definition of performance
* The importance of having agreed-upon priorities, including what isn't important
* The importance of measuring (allthethings) and understanding them
* The thing you think is the problem might not be the problem, and vice versa.
* The real world and the ideal world tend to look nothing alike!
This slide is a comprehensive presentation of the talks delivered in Defcon by Robert Stucke and Luke Young.
This was presented at Null June Meetup Bangalore by me
Bliley Technologies company overview.
For more than 85 years, we’ve been crafting some of the highest performing frequency control devices in the universe. Today, we’re excited to set the stage for the next 85 years.
We invite you to be a part of this next chapter.
OSDC 2015: Martin Gerhard Loschwitz - Kristian Köhntopp | 45 Minutes of OpenS...NETWAYS
OpenStack has been dominating the news on Open Source cloud computing for more than two years now - and there is no end in sight for the hype. If you have been looking into cloud computing, you will most likely have considered OpenStack as a possible solution. You will also have heard success stories of large organizations such as Rackspace or CERN. And of course people told you about all the glittering parties held during the semi-annual OpenStack summits.
What you probably haven't heard that often are stories about all the occasions where OpenStack will blow up right in your face. At SysEleven, we've been working on an OpenStack platform for more than a year now - and we would like to share our experiences with you in this presentation. We'll explain why we have decided to go with OpenStack in the first place, what problems we have ran into and how we solved them. We'll demonstrate what our platform looks like at the moment and what challenges we are currently working on. At the end, you will have a better understanding of what OpenStack means for ISPs and what kind of trouble you are signing up for when becoming an OpenStacker.
OSDC 2015: Martin Gerhard Loschwitz - Kristian Köhntopp | 45 Minutes of OpenS...NETWAYS
OpenStack has been dominating the news on Open Source cloud computing for more than two years now - and there is no end in sight for the hype. If you have been looking into cloud computing, you will most likely have considered OpenStack as a possible solution. You will also have heard success stories of large organizations such as Rackspace or CERN. And of course people told you about all the glittering parties held during the semi-annual OpenStack summits.
What you probably haven't heard that often are stories about all the occasions where OpenStack will blow up right in your face. At SysEleven, we've been working on an OpenStack platform for more than a year now - and we would like to share our experiences with you in this presentation. We'll explain why we have decided to go with OpenStack in the first place, what problems we have ran into and how we solved them. We'll demonstrate what our platform looks like at the moment and what challenges we are currently working on. At the end, you will have a better understanding of what OpenStack means for ISPs and what kind of trouble you are signing up for when becoming an OpenStacker.
Deep submicron-backdoors-ortega-syscan-2014-slidesortegaalfredo
Malicious hardware is a mature topic but previous research has focused almost exclusively on theoretical applications. In this article, practical implementations of gate-level backdoors will be presented using the Verilog hardware description language, then simulated and finally synthesized using freely available deep sub-micron (45-180 nm) standard cells, resulting in a backdoored latest-generation ARM CPU, suitable for fabrication and massive deployment.
Why I love Kubernetes Failure Stories and you should too - GOTO BerlinHenning Jacobs
Talk held on 2019-10-24 at GOTO Berlin:
Everybody loves failure stories, but maybe for the wrong reasons: Schadenfreude and Internet comment threads are the dark side; continuous improvement through blameless postmortems, sharing incidents, and documenting learnings is what motivated me to compile the list of Kubernetes Failure Stories. Kubernetes gives us a infrastructure platform to talk in the same "language" and foster collaboration across organizations. In this talk, I will walk you through our horror stories of operating 100+ clusters and share the insights we gained from incidents, failures, user reports and general observations. I will highlight why Kubernetes makes sense despite its perceived complexity. Our failure stories will be sourced from recent and past incidents, so the talk will be up-to-date with our latest experiences.
https://gotober.com/2019/sessions/1129/why-i-love-kubernetes-failure-stories-and-you-should-too
Presentation with Pere Villega (https://www.linkedin.com/in/perevillega/) about Blockchain (esp Bitcoin and Ethereum). Relating Blockchain to FP through foldLeft in Event Sourcing, then adding Crypto hashing and Distributed systems thinking and consensus.
What's really the difference between a VM and a Container?Adrian Otto
Docker, Kubernetes, Mesos, and the container buzzword bingo game leaves us all asking this same question at some point. We know VMs are great, so why all this fuss now about containers? Are they the same thing, but better? This talk will go deep into the technical details of the fundamental differences between the technology, explaining in depth how each of them works, and where each of them shine and why businesses choose one over the other. You will also get a good sense of where the warts are too, so you know when to pick the right one (or the right combination of them) depending on what’s important for each of your various workloads.
Altiums Amazing Features - Project Management Tools - Welcome to OXELTECH.pdfaud Scarlet
Altium Designer is considered the epitome of EDA tools for hardware design engineers when it comes to professional schematic and PCB design. It is inclusive and encompassing as far as all the steps in the design and management process are concerned.
There are lots of reasons to decommission a data centre.
Perhaps you’re closing down an office? Or saving money by outsourcing your Disaster Recovery? Maybe your hardware is reaching end-of-life and you’re moving to the cloud?
But It’s not an easy project. It can take longer than expected, eating into cost-savings and brings an increased risk of service-interruption.
Key takeaways:
• A checklist for Discovery, Implementation and Disposal stages
• How to create an accurate budget and timetable
• Choosing between a phased or ‘big bang’ approach
4Developers 2015: Refactoring za duże pieniądze, pierwsze kroki - Michał GrucaPROIDEA
Michał Gruca
Language: Polish
Wielu z nas miało ten moment w trakcie kariery (albo dopiero cała zabawa przed nimi), kiedy idzie się do szefa powiedzieć, że tak już się nie da dalej ciągnąć i trzeba cały ten soft przepisać albo zrifaktorować (i to bez szwagra).
Dla tej (podejrzewam, że większej) części z nas, która zna gorycz porażki w walce z biznesem o jakość, dedykuję ten talk. Przechodziłem w swoim życiu kilka razy ten cykl, próbowałem przepchnąć zmiany większe i mniejsze. Po kilku latach (i próbach), mam pewne sukcesy na tym polu i czas podzielić się z innymi jak do tematu można podejść.
Podczas wykładu spojrzymy na to czym jest ten cały refactoring, jak można do tematu podejść, zaplanować oraz przede wszystkim jak przekonać biznes by na niego kasę wyłożył.
Nie będę ściemniać, sukces nie jest murowany więc pochylimy się też nad tematem co zrobić jak kasy nie będzie a kod trzeba i tak ratować.
Deploying 3 times a day without a downtime @ Rocket Tech Summit in BerlinAlessandro Nadalin
A look at how we try to make our architecture robust, resilient and fun to work with: Namshi is not github or spotify but... ...imitation is the sincerest form of flattery!
Ideal 3D Stacked Die Test - IEEE Semiconductor Wafer Test Workshop SWTW 2013Ira Feldman
My presentation from IEEE SWTW 2013 - For a full description please see my blog:
http://hightechbizdev.com/2013/06/10/ira-feldman-high-technology-business-development-ieee-semiconductor-wafer-test-workshop-2013/
Similar to Why I Like Hardware Hacking (and if you haven't tried it, here's a few tips on getting started!) bunnie (20)
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
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.
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.
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.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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.
26. Passive: RF Side-Channels
Moradi, A and Schneider, T. “Improved Side-Channel Analysis Attacks on Xilinx Bitstream Encryption of 5, 6, and 7 Series”
39. Observation: Computers are Primarily Defined
By Their Interaction Hardware
SparkfunCCBY2.0
GarethHalfacreeCCBYSA2.0
FromGigabyte.com
●
For a given performance tier, core architecture is 80% identical
63. Dumpster Diving For
Factories
Depreciate 3 yrs, sell as
Scrap for $100k
Use for 10 yrs, sell as scrap
For $10k
$1mm investment in top-of-line
Assembly equipment
Picked up by small factories
(but same capability)
Excess capacity for cheap
73. Even the Mightiest Rivers Start as Raindrops
10 mm assembly labor
100k technicians/engineers
1 billion people
1000 managers/designers
10 major new tech corps
(1980, foxconn, huawei, etc.)
(1990, diaspora of medium-
small factories)
(2000, rise of the Shanzhai)
(2010, xiaomi, tencent,
taobao, alibaba, etc.)
Dotcom boom
Maker
Movement
Cold war
Engineers
USAChina
74. A Healthy Ecosystem Has A Wide Base
https://sites.google.com/site/lmwhitebiology/ecology/ecological-pyramids-1/pyramid-of-biomass
75. It Takes an Ecosystem to Build Hardware
System
Integrator
Plastics
PCBA
Firmware
Tooling
Components
ID
76. The Problem with Ecosystem Loss
MarcinChandy–CCBY2.0
ZhaoChuangviawww.amnh.org
79. The Good News
Leonardo DaVinci – Vitruvian Man photo by
Luc Viatour / https://Lucnix.be via Wikipedia (Public Domain)Isaac Newton / Principia (Public Domain)
80. Hardware Knowledge is Cumulative
●
Programming languages I've had
to learn:
●
BASIC
●
C
●
Assembly of various flavors
●
C++
●
Pascal
●
Perl
●
Java
●
Python
●
Javascript
●
Rust
●
Verilog
●
VHDL
●
Bash
●
Go
●
...
●
Equations I've had to learn:
●
Maxwell's equations
– Gauss's Law
– Gauss's Law for magnetism
– Faraday's Law
– Ampere's law with Maxwell's
addition
●
Fick's laws of diffusion
– First
– Second
81. Hardware Knowledge is Cumulative
●
Software tools I've had to learn:●
Linux
●
Mach
●
Init.d
●
Systemd
●
Busybox
●
OpenEmbedded
●
Make
●
Pip
●
Apt
●
Yum
●
Conda
●
Docker
●
Jenkins
●
Travis
●
Github
●
SVN
●
Perforce
●
U-boot
●
Grub
●
LILO
●
Npm
●
Gulp
●
Qt
●
GTK
●
Apache
●
Nginx
●
Web2py
●
Ruby on Rails
●
MySQL
●
MongoDB
●
Cargo
●
Automake
●
●
Hardware tools I've had to learn:
●
Soldering iron
●
Hot air gun
●
Microscope
●
Oscilloscope
●
Spectrum analyzer
●
Altium
●
Solidworks
●
Cadence
●
MAGIC
●
Synopsys
90. And One to Check
●
Call it what you want: A/B test;
Control; Placebo
91. Rule of 3's: Hacking
●
One to break
●
Minimize barrier to gross characterization & learning
●
One to hack
●
Experiment to test theories
●
One to check
●
Baseline to ground experiments
94. Making is a Multi-Stage Process, Too
ViaIntrinsycDragonBoard8074DevKit
95. E/D/P-VT Process
●
VT = validation & test
●
E = Engineering
●
Does it catch fire?
●
D = Design
●
Does it meet the requirements?
●
P = Production
●
Does it yield?
96. Making is Cheaper By the Dozen
●
Observation: BOM stays 80% the same throughout EVT/DVT/PVT
●
Cheaper to buy all the materials at once
●
Then buy the per-run delta
●
For an "IoT"-type project:
●
EVT (min 3 / ideal 5)
●
DVT (min 5 / ideal 10)
●
PVT (min 5 / ideal 20+)
– Total run: 13-35 unit material usage
– Proto volume breaks at 10, 25 units
107. Hardware Isn't Hard If You Know the Method
●
Hacking:
●
One to break
●
One to hack
●
One to test
●
Making:
●
Does it catch fire?
●
Does it meet specs?
●
Can it yield?