Scalable Google Cloud Payroll Project- Presentation
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A presentation summarizing my Cloud Based Payroll project. The presentation highlights how Google Cloud components and custom servers were combined to develop an auto scalable cloud based payroll system that could scale/adapt based on CPU demand.
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Final Report To Executive ManagersXXXXXCCA 625Un
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Table of Contents
Executive summary 1
Lab results (4–8 pages) 1
Lessons Learned from The Labs 13
Feasibility of cloud environment for BallotOnline web services deployment 15
2
Building An AWS Migration Environment and Configuring the Web ServicesExecutive summary
Compute, databases, storage, analytics, mobile, networking, developer tools, management tools, IoT, security, as well as corporate applications are all available through Amazon Web Services (Wang et al., 2017). These services enable BallotOnline to move more quickly, save money on IT, and grow. Web and mobile apps, game development, data processing and warehousing, storage, archiving, and many more workloads are all powered by AWS, which is trusted by the world's largest companies and the hottest start-ups.
The relational database transfer is supposed to be met with skepticism by the web development team. I have a task to create a proof-of-concept application to test it. During the proof of concept, I have to learn how to use the AWS Management Console to start, stop, and configure Amazon EC2 instances and Amazon RDS DB Instances, store and retrieve Amazon S3 items, and set up elastic load balancers (Zulu et al., 2018). Also, I might learn a lot about AWS and realized that they had complete control over the environment, which am sure will make me feel much more secure about taking the next step.
The standard “mysqlimport” tool is used to migrate relational database files to Amazon RDS instances. I will put up a DB Instance in a single Availability Zone for the test environment, and a multi-AZ deployment for the production environment to enhance availability (Cao et al., 2017). My main goal is to properly test and migrate all data to a database instance, as well as get performance measurements using Amazon CloudWatch and define backup retention settings. I have also to construct migration scripts to automate the process and raise awareness inside the company by hosting a "brownbag" session.Lab results (4–8 pages)
Lab 1 Report
Load Balancer DNS Name:
internal-CCA625-LB-65451032.us-east-1.elb.amazonaws.com
Summary of the Lab
Before beginning this lab, I ensured that the VPC and EC2 instances are correctly configured. In addition, I checked that the security groups for the instances made allow http which is on port 80. Later I installed the Apache web server on every instance filling respective DNS names (Joshi & Shah, 2019).
Incoming traffic is distributed over many targets in one or more Availability Zones, such as EC2 instances, containers, and IP addresses, using Elastic Load Balancing. It monitors the health of the targets it has recorded and only delivers traffic to those who are in excellent form. One can scale the load balancer as the incoming traffic varies using Elastic Load Balancing. It can automatically scale to the vast majority of workloads. The Load bal ...
Shattering The Monolith(s) (Martin Kess, Namely) Kafka Summit SF 2019
Namely is a late-stage startup that builds HR, Payroll and Benefits software for mid-sized businesses. Over the years, we've ended up with a number of monolithic and legacy applications covering overlapping domain concepts, which has limited our ability to deliver new and innovative features to our customers. We need a way to get our data out of the monoliths to decouple our systems and increase our velocity. We've chosen Kafka as our way to liberate our data in a reliable, scalable and maintainable way. This talk covers specific examples of successes and missteps in our move to Kafka as the backbone of our architecture. It then looks to the future - where we are trying to go, and how we plan on getting, both from the short term and long term perspectives. Key Takeaways: - Successful and unsuccessful approaches to gradually introducing Kafka to a large organization in a way that meets the short and long term needs of the business. - Successful and unsuccessful patterns for using Kafka. - Pragmaticism versus purisim: Building Kafka-first systems, and migrating legacy systems to Kafka with Debezium. - Combining event driven systems with RPC based systems. Observability, alerting and testing. - Actionable steps that you can take to your organization to help drive adoption.
Azure Functions.pptx
Azure Functions is a serverless solution that allows you to write less code, maintain less infrastructure, and save on costs.
Project Report
This report summarizes progress on a project with a Spring Boot backend and plans for a frontend. It states that the backend is mostly complete and endpoints can be queried successfully. It was expanded with a Thymeleaf landing page. Plans are described to integrate either a React/Redux or Angular frontend to handle state management and API calls. The project encountered issues with code errors and UML design that required changes to the backend structure and database mapping. The current frontend uses Angular to successfully pull data from the backend.
Real-World Pulsar Architectural Patterns
This presentation covers Real-World Pulsar Architectural Patterns involving Distributed Caching and Distributed Tracing. We also cover the use of Apache Ignite, Jaeger, Apache Flink, and many other technologies, as well as industry best-practices.
Evolution of netflix conductor
MS Office install has required the removal of the previously installed version of your Office product on the device or system. Office 365 and other subscription offers the various features, which you do not get when you do not purchase the Office product. The office can be used free, as MS provides the trial versions of every tool. VISIT HERE: Office setup TODAY.
Appscale at CLOUDCOMP '09
These are the slides from my presentation at CLOUDCOMP 2009 on AppScale, an open source platform for running Google App Engine apps on. See our project home page at http://appscale.cs.ucsb.edu or our code page at http://code.google.com/p/appscale
AWS Batch: Simplifying Batch Computing in the Cloud
AWS Batch simplifies batch computing in the cloud by fully managing batch processing workloads. It allows developers to easily run large numbers of batch computing jobs across AWS as containerized applications. With AWS Batch, users can focus on analyzing results and solving problems rather than managing the underlying infrastructure and job scheduling complexities. It provides cost savings, time reductions, and operational simplicity compared to on-premises batch computing.
Similar to Scalable Google Cloud Payroll Project- Presentation (20)
An Empirical Performance Study of AppEngine and AppScale
An Empirical Performance Study of AppEngine and AppScale
Automate Your Big Data Workflows (SVC201) | AWS re:Invent 2013
Automate Your Big Data Workflows (SVC201) | AWS re:Invent 2013
Managing Large Flask Applications On Google App Engine (GAE)
Managing Large Flask Applications On Google App Engine (GAE)
Transform-to-Smart-ERP-using-Custom-Mobile-Apps.pptx
Transform-to-Smart-ERP-using-Custom-Mobile-Apps.pptx
Transform-to-Smart-ERP-using-Custom-Mobile-Apps.pptx (3).ppt
Transform-to-Smart-ERP-using-Custom-Mobile-Apps.pptx (3).ppt
February 2016 Webinar Series Migrate Your Apps from Parse to AWS
February 2016 Webinar Series Migrate Your Apps from Parse to AWS
Shattering The Monolith(s) (Martin Kess, Namely) Kafka Summit SF 2019
Shattering The Monolith(s) (Martin Kess, Namely) Kafka Summit SF 2019
AWS Batch: Simplifying Batch Computing in the Cloud
AWS Batch: Simplifying Batch Computing in the Cloud
Recently uploaded
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Generative AI Use cases applications solutions and implementation.pdf
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原件一模一样【微信：bwp0011】《(Humboldt毕业证书)柏林大学毕业证学位证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
【主营项目】
一.毕业证【微bwp0011】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
原版一模一样【微信：741003700 】【(uofo毕业证书)美国俄勒冈大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理加利福尼亚艺术学院加利福尼亚艺术学院毕业证文凭证书流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
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Scalable Google Cloud Payroll Project- Presentation
- 1. A RESTful, Auto-Scaling Payroll API Mike, Joe, Edson
- 2. Introduction RESTful Auto-Scaling Payroll API Several Custom Components (Application, Translator, Accruals, Delivery) Google Components (Load Balancer, Auto Scaling, Pub/Sub, Cloud Spanner) Users send/receive data as JSON objects through HTTP Requests
- 4. Load Balancer Distributes our users to various applications that are in service Distributes to a Managed Instance Group Managed Instance Groups are just groups of identical instances built from an Instance Template Instance Template is an image of our Application If changes are made to the Instance Template, these changes are rolled out to all instances in the Managed Instance Group
- 5. Auto Scaling Monitors the CPU level of our Application Instances If it gets too high, new Application instances are created to help reduce the load When the traffic dies down, these instances are shut off and deleted automatically
- 6. Pub/Sub Google’s Messaging Service that allows you send and receive messages between independent applications. Allowed for easy communication between all of our components Topics: ● insert-new-company ● insert-new-employee ● insert-timesheets ● calculate-accruals ● paystub-delivery
- 7. Application Flask Server Routes Publishes To Returns createCompany insert-new-company Response addEmployee insert-new-employee Response submit insert-timesheets Response calculateAccruals calculate-accruals Response deliveryRequest delivery-request Response paystub - Your paystub
- 8. Translator This component subscribes to 3 topics: ● insert-new-company ● insert-new-employee ● insert-timesheets Parses the JSON message, generates a database insert statement, then inserts the data
- 9. Accruals Subscribes to calculate-accruals Calculates your pay stub Inserts your pay stub into the database It only calculates your pay when you request it
- 10. Delivery This instance has one job, to deliver pay stubs to the front-end application Subscribes to delivery-requests Queries the database for an employee’s pay stub Publishes your pay stub to paystub-delivery
- 11. Cloud Spanner Database Relational Strong Consistency High Availability Automatic Replication Horizontally Scalable SQL-like queries
- 12. Component Model
- 13. Design Challenges ● Designing our components. What should they do? How do they interact with the rest of our components? ● Constructing the JSON objects our users would be required to send ● Designing the database to work with the JSON ● We tried Google SQL first, but it was not horizontally scalable ● How to scale the Application server and add a Load Balancer? ● Issues with various Kafka libraries led to Google’s Pub/Sub
- 14. Conclusion Things that would be nice: ● Auto calculate accruals (chron job, every 2 weeks or so) ● Full horizontal scalability (Translator, Delivery, Accruals) ● Find alternative for database cluster component instead of Cloud Spanner ● Costs $9000 per node/year ($0.90/hour for just 1 node) ● Can’t be shut down
- 15. Demo!