Npm has modules for devops, like logging, metrics, service discovery. But when you arrive to production, you may find that these are already handled by old players. Avoid the same mistakes I did, when my first node app was on its way to the world.
Serverless applications increasingly involve distributed systems where errors and bottlenecks can have significant downstream impact. This can be compounded by the ephemeral nature of FaaS offerings in which errors can be difficult to diagnose retroactively. In this session we'll discuss instrumentation and "self-healing" architectural patterns that will improve resiliency of your application and drive improved observability and performance.
Serverless applications increasingly involve distributed systems where errors and bottlenecks can have significant downstream impact. This can be compounded by the ephemeral nature of FaaS offerings in which errors can be difficult to diagnose retroactively. In this session we'll discuss instrumentation and "self-healing" architectural patterns that will improve resiliency of your application and drive improved observability and performance.
An Open Source Notebook based tool that supports Data ingestion, collaboration and Analytics. Offers visualization with modern UI and other interesting features including GitHub integration, cron schedules, importing and exporting notebooks and many more.
With the advent of “big data”, it has become inevitable to analyze huge volumes of data in real-time to make sense out of it. For this to happen seamlessly, the streaming of that data is necessary. This is where Reactive Streams step in.
Akka Streams is built on top of the Reactive Streams interface. This webinar will be an introduction to Akka Streams and how it simplifies the aspect of back-pressure in real-time streaming.
Here’s an outline of the webinar -
~ Introduction to the problem set
~ How do Akka Streams help simplify the problem of back-pressure?
~ Basic terminologies of Akka Streams
~ Live demo of a real-life problem being solved with Akka Streams
Serverless applications increasingly involve distributed systems where errors and bottlenecks can have significant downstream impact. This can be compounded by the ephemeral nature of FaaS offerings in which errors can be difficult to diagnose retroactively. In this session we'll discuss instrumentation and "self-healing" architectural patterns that will improve resiliency of your application and drive improved observability and performance.
Serverless applications increasingly involve distributed systems where errors and bottlenecks can have significant downstream impact. This can be compounded by the ephemeral nature of FaaS offerings in which errors can be difficult to diagnose retroactively. In this session we'll discuss instrumentation and "self-healing" architectural patterns that will improve resiliency of your application and drive improved observability and performance.
An Open Source Notebook based tool that supports Data ingestion, collaboration and Analytics. Offers visualization with modern UI and other interesting features including GitHub integration, cron schedules, importing and exporting notebooks and many more.
With the advent of “big data”, it has become inevitable to analyze huge volumes of data in real-time to make sense out of it. For this to happen seamlessly, the streaming of that data is necessary. This is where Reactive Streams step in.
Akka Streams is built on top of the Reactive Streams interface. This webinar will be an introduction to Akka Streams and how it simplifies the aspect of back-pressure in real-time streaming.
Here’s an outline of the webinar -
~ Introduction to the problem set
~ How do Akka Streams help simplify the problem of back-pressure?
~ Basic terminologies of Akka Streams
~ Live demo of a real-life problem being solved with Akka Streams
(DVO205) Monitoring Evolution: Flying Blind to Flying by InstrumentAmazon Web Services
Today, AdRoll runs its infrastructure by instrumentation: constantly asking empirical questions, analyzing data for answers, and designing new features with instrumentation in mind to understand how functionality will work upon release. AdRoll’s development methodology did not start out this way, however. It took a cultural shift and many new tools and processes to adopt this approach. In this session, AdRoll and Datadog will discuss how to evolve your organization from a state of “flying blind” to a culture focused on monitoring and data-based decisions. Session sponsored by Datadog.
In this Meetup Yaar Reuveni – Team Leader & Nir Hedvat – Software Engineer from Liveperson Data Platform R&D team, will talk about the journey we made from early days of the data platform in production with high friction and low awareness to issues into a mature, measurable data platform that is visible and trustworthy.
Performance Monitoring with AOP and Amazon CloudWatchYan Cui
This talk outlines how to easily set up pseudo-RT performance monitoring for your application using an AOP framework such as PostSharp in conjunction with the Amazon CloudWatch service.
Donald Ferguson - Old Programmers Can Learn New TricksServerlessConf
Presented at ServerlessConf NYC 2016.
This presentation will discuss the experiences of a skilled, enterprise, J2EE team moving to Amazon Web Services to build a new “serverless” solution. This will include motivation for choosing and experience using specific technology (Java, Lambda, S3, RDS, API Gateway, VPC, …) The talk will qualitatively explain the productivity improvement achieved by going “serverless” relative to a more traditional application server design. We will also identify the top three helpful technologies, the three biggest hurdles and our wish list for three new capabilities.
From Zero to Serverless (CoderCruise 2018)Chad Green
So many times our customers need a simple routine that can be executed on a routine basis but the solution doesn’t need to be an elaborate solution without going the trouble of setting servers and other infrastructure. Serverless computer is the abstraction of servers, infrastructure, and operating systems and make getting solutions to your customer’s needs much quicker and cheaper. During this session we will look at how Azure Functions will enable you to run code on-demand without having to explicitly provision or manage infrastructure.
Trends and development practices in Serverless architecturesDiUS
AWS ISV Event - Unlocking Business Agility with the AWS Serverless Application Model
Matt Fellows, Principal Consultant from DiUS will talk about the evolution to serverless architectures, and discuss key development and testing practices for these modern distributed systems
Jeremy Edberg (MinOps ) - How to build a solid infrastructure for a startup t...Startupfest
You're building your startup and you know it will be big. You don't want to spend a lot of time on infrastructure, but you also don't want to be putting out fires after you get mentioned on Hacker News. In this session, we will give you real practical tips that you can take home with you on building an infrastructure that will scale quickly with minimal up front work on your part, using time tested techniques in infrastructure as code, SaaS, and Serverless, among other things.
Choosing the right messaging service for your serverless app [with lumigo]Dhaval Nagar
By their nature, serverless applications are highly-distributed and event-driven, relying heavily on relaying events from one service to another. With that in mind, selecting the right messaging service for routing events is critical for your serverless application's functionality and performance.
I reviewed the three major event-routing services on AWS -- SNS, SQS, and EventBridge. Also, examine their differences and which service is optimal for which use case.
Finally, looked at the best way to monitor and debug a serverless application that uses an event-routing messaging service
J-Spring 2017 - Microservices in action at the Dutch National PoliceBert Jan Schrijver
Microservices? At the Police? Definitely! At the Cloud, Big Data and Internet division of the Dutch National Police, 3 DevOps teams use the latest open source technology to build high tech web applications. These applications are used to police work with data from open, online sources and are built using Spring Boot, Angular 2.x, Spark, Kafka and Jenkins 2. In this session, I'll share our experiences and real-world use cases for microservices. I’ll explain our architecture, why we chose it, which challenges we face and what this all brings us. I’ll show how 3 teams work together on one product, loosely based on the models used by Spotify and Netflix, and I’ll talk about how we apply the principles of DevOps and Continuous Delivery. I’ll show how we handle security, build pipelines, test automation, performance tests, automated deployments and monitoring. You’ll leave this session with an understanding of how this approach enables us to have the agility of a startup within the large Police organisation.
Ensuring Performance in a Fast-Paced Environment (CMG 2014)Martin Spier
Netflix accounts for more than a third of all traffic heading into American homes at peak hours. Making sure users are getting the best possible experience at all times is no simple feat and performance is at the core of this experience. In order to ensure performance and maintain development agility in a highly decentralized environment/(organization?), Netflix employs a multitude of strategies, such as production canary analysis, fully automated performance tests, simple zero-downtime deployments and rollbacks, auto-scaling clusters and a fault-tolerant stateless service architecture. We will present a set of use cases that demonstrate how and why different groups employ different strategies to achieve a common goal, great performance and stability, and detail how these strategies are incorporated into development, test and DevOps with minimal overhead.
In this Meetup Arik Lerner – Liveperson Team lead of Java Automation, Performance & Resilience , will talk about How we measure our services, By End2End testing which become one of the most critical Monitor tool in LP .
Over 200K tests runs per day providing statistics and insights into the problem as they happen.
Arik will go through different topics and stages of the journey and share details that led to current results .
Part of the menu topics are : The Awakens of the End2End Insights
• How we measure our services using synthetic user experience
• Measuring through analytics & insights
• How we collect our data
• How we debug our services? Hint: video recording, HAR (Http archive), KIbana , Dashboard analytics & insights
• Future logs App correlation with End2End data
• Our tools: Selenium, Jenkins and cutting edge technologies such as Kafka & ELK (Elastic search, Logstash and Kibana)
In this Meetup, Arik will host Ali AbuAli- NOC Team Leader , who will talk about the e2e usage on his day 2 day work.
Setting up an ONAP development environment is not easy. Development tools and practices are not collected in a single place. This project pretends to collect and standardize that process.
Reactive Streams 1.0.0 is now live, and so are our implementations in Akka Streams 1.0 and Slick 3.0.
Reactive Streams is an engineering collaboration between heavy hitters in the area of streaming data on the JVM. With the Reactive Streams Special Interest Group, we set out to standardize a common ground for achieving statically-typed, high-performance, low latency, asynchronous streams of data with built-in non-blocking back pressure—with the goal of creating a vibrant ecosystem of interoperating implementations, and with a vision of one day making it into a future version of Java.
Akka (recent winner of “Most Innovative Open Source Tech in 2015”) is a toolkit for building message-driven applications. With Akka Streams 1.0, Akka has incorporated a graphical DSL for composing data streams, an execution model that decouples the stream’s staged computation—it’s “blueprint”—from its execution (allowing for actor-based, single-threaded and fully distributed and clustered execution), type safe stream composition, an implementation of the Reactive Streaming specification that enables back-pressure, and more than 20 predefined stream “processing stages” that provide common streaming transformations that developers can tap into (for splitting streams, transforming streams, merging streams, and more).
Slick is a relational database query and access library for Scala that enables loose-coupling, minimal configuration requirements and abstraction of the complexities of connecting with relational databases. With Slick 3.0, Slick now supports the Reactive Streams API for providing asynchronous stream processing with non-blocking back-pressure. Slick 3.0 also allows elegant mapping across multiple data types, static verification and type inference for embedded SQL statements, compile-time error discovery, and JDBC support for interoperability with all existing drivers.
Cloud Foundry Summit 2015: 12 Factor Apps For OperationsVMware Tanzu
Speakers: Rags Srinivas, EMC; Matt Cowger, EMC
To learn more about Pivotal Cloud Foundry, visit http:///www.pivotal.io/platform-a-as-a-service/pivotal-cloud-foundry.
Debugging Microservices - key challenges and techniques - Microservices Odesa...Lohika_Odessa_TechTalks
Microservice architecture is widespread our days. It comes with a lot of benefits and challenges to solve. Main goal of this talk is to go through troubleshooting and debugging in the distributed micro-service world. Topic would cover:
main aspects of the logging,
monitoring,
distributed tracing,
debugging services on the cluster.
About speaker:
Andrеy Kolodnitskiy is Staff engineer in the Lohika and his primary focus is around distributed systems, microservices and JVM based languages.
Majority of time engineers spend debugging and fixing the issues. This talk will be dedicated to best practicies and tools Andrеys team uses on its project which do help to find issues more efficiently.
(DVO205) Monitoring Evolution: Flying Blind to Flying by InstrumentAmazon Web Services
Today, AdRoll runs its infrastructure by instrumentation: constantly asking empirical questions, analyzing data for answers, and designing new features with instrumentation in mind to understand how functionality will work upon release. AdRoll’s development methodology did not start out this way, however. It took a cultural shift and many new tools and processes to adopt this approach. In this session, AdRoll and Datadog will discuss how to evolve your organization from a state of “flying blind” to a culture focused on monitoring and data-based decisions. Session sponsored by Datadog.
In this Meetup Yaar Reuveni – Team Leader & Nir Hedvat – Software Engineer from Liveperson Data Platform R&D team, will talk about the journey we made from early days of the data platform in production with high friction and low awareness to issues into a mature, measurable data platform that is visible and trustworthy.
Performance Monitoring with AOP and Amazon CloudWatchYan Cui
This talk outlines how to easily set up pseudo-RT performance monitoring for your application using an AOP framework such as PostSharp in conjunction with the Amazon CloudWatch service.
Donald Ferguson - Old Programmers Can Learn New TricksServerlessConf
Presented at ServerlessConf NYC 2016.
This presentation will discuss the experiences of a skilled, enterprise, J2EE team moving to Amazon Web Services to build a new “serverless” solution. This will include motivation for choosing and experience using specific technology (Java, Lambda, S3, RDS, API Gateway, VPC, …) The talk will qualitatively explain the productivity improvement achieved by going “serverless” relative to a more traditional application server design. We will also identify the top three helpful technologies, the three biggest hurdles and our wish list for three new capabilities.
From Zero to Serverless (CoderCruise 2018)Chad Green
So many times our customers need a simple routine that can be executed on a routine basis but the solution doesn’t need to be an elaborate solution without going the trouble of setting servers and other infrastructure. Serverless computer is the abstraction of servers, infrastructure, and operating systems and make getting solutions to your customer’s needs much quicker and cheaper. During this session we will look at how Azure Functions will enable you to run code on-demand without having to explicitly provision or manage infrastructure.
Trends and development practices in Serverless architecturesDiUS
AWS ISV Event - Unlocking Business Agility with the AWS Serverless Application Model
Matt Fellows, Principal Consultant from DiUS will talk about the evolution to serverless architectures, and discuss key development and testing practices for these modern distributed systems
Jeremy Edberg (MinOps ) - How to build a solid infrastructure for a startup t...Startupfest
You're building your startup and you know it will be big. You don't want to spend a lot of time on infrastructure, but you also don't want to be putting out fires after you get mentioned on Hacker News. In this session, we will give you real practical tips that you can take home with you on building an infrastructure that will scale quickly with minimal up front work on your part, using time tested techniques in infrastructure as code, SaaS, and Serverless, among other things.
Choosing the right messaging service for your serverless app [with lumigo]Dhaval Nagar
By their nature, serverless applications are highly-distributed and event-driven, relying heavily on relaying events from one service to another. With that in mind, selecting the right messaging service for routing events is critical for your serverless application's functionality and performance.
I reviewed the three major event-routing services on AWS -- SNS, SQS, and EventBridge. Also, examine their differences and which service is optimal for which use case.
Finally, looked at the best way to monitor and debug a serverless application that uses an event-routing messaging service
J-Spring 2017 - Microservices in action at the Dutch National PoliceBert Jan Schrijver
Microservices? At the Police? Definitely! At the Cloud, Big Data and Internet division of the Dutch National Police, 3 DevOps teams use the latest open source technology to build high tech web applications. These applications are used to police work with data from open, online sources and are built using Spring Boot, Angular 2.x, Spark, Kafka and Jenkins 2. In this session, I'll share our experiences and real-world use cases for microservices. I’ll explain our architecture, why we chose it, which challenges we face and what this all brings us. I’ll show how 3 teams work together on one product, loosely based on the models used by Spotify and Netflix, and I’ll talk about how we apply the principles of DevOps and Continuous Delivery. I’ll show how we handle security, build pipelines, test automation, performance tests, automated deployments and monitoring. You’ll leave this session with an understanding of how this approach enables us to have the agility of a startup within the large Police organisation.
Ensuring Performance in a Fast-Paced Environment (CMG 2014)Martin Spier
Netflix accounts for more than a third of all traffic heading into American homes at peak hours. Making sure users are getting the best possible experience at all times is no simple feat and performance is at the core of this experience. In order to ensure performance and maintain development agility in a highly decentralized environment/(organization?), Netflix employs a multitude of strategies, such as production canary analysis, fully automated performance tests, simple zero-downtime deployments and rollbacks, auto-scaling clusters and a fault-tolerant stateless service architecture. We will present a set of use cases that demonstrate how and why different groups employ different strategies to achieve a common goal, great performance and stability, and detail how these strategies are incorporated into development, test and DevOps with minimal overhead.
In this Meetup Arik Lerner – Liveperson Team lead of Java Automation, Performance & Resilience , will talk about How we measure our services, By End2End testing which become one of the most critical Monitor tool in LP .
Over 200K tests runs per day providing statistics and insights into the problem as they happen.
Arik will go through different topics and stages of the journey and share details that led to current results .
Part of the menu topics are : The Awakens of the End2End Insights
• How we measure our services using synthetic user experience
• Measuring through analytics & insights
• How we collect our data
• How we debug our services? Hint: video recording, HAR (Http archive), KIbana , Dashboard analytics & insights
• Future logs App correlation with End2End data
• Our tools: Selenium, Jenkins and cutting edge technologies such as Kafka & ELK (Elastic search, Logstash and Kibana)
In this Meetup, Arik will host Ali AbuAli- NOC Team Leader , who will talk about the e2e usage on his day 2 day work.
Setting up an ONAP development environment is not easy. Development tools and practices are not collected in a single place. This project pretends to collect and standardize that process.
Reactive Streams 1.0.0 is now live, and so are our implementations in Akka Streams 1.0 and Slick 3.0.
Reactive Streams is an engineering collaboration between heavy hitters in the area of streaming data on the JVM. With the Reactive Streams Special Interest Group, we set out to standardize a common ground for achieving statically-typed, high-performance, low latency, asynchronous streams of data with built-in non-blocking back pressure—with the goal of creating a vibrant ecosystem of interoperating implementations, and with a vision of one day making it into a future version of Java.
Akka (recent winner of “Most Innovative Open Source Tech in 2015”) is a toolkit for building message-driven applications. With Akka Streams 1.0, Akka has incorporated a graphical DSL for composing data streams, an execution model that decouples the stream’s staged computation—it’s “blueprint”—from its execution (allowing for actor-based, single-threaded and fully distributed and clustered execution), type safe stream composition, an implementation of the Reactive Streaming specification that enables back-pressure, and more than 20 predefined stream “processing stages” that provide common streaming transformations that developers can tap into (for splitting streams, transforming streams, merging streams, and more).
Slick is a relational database query and access library for Scala that enables loose-coupling, minimal configuration requirements and abstraction of the complexities of connecting with relational databases. With Slick 3.0, Slick now supports the Reactive Streams API for providing asynchronous stream processing with non-blocking back-pressure. Slick 3.0 also allows elegant mapping across multiple data types, static verification and type inference for embedded SQL statements, compile-time error discovery, and JDBC support for interoperability with all existing drivers.
Cloud Foundry Summit 2015: 12 Factor Apps For OperationsVMware Tanzu
Speakers: Rags Srinivas, EMC; Matt Cowger, EMC
To learn more about Pivotal Cloud Foundry, visit http:///www.pivotal.io/platform-a-as-a-service/pivotal-cloud-foundry.
Debugging Microservices - key challenges and techniques - Microservices Odesa...Lohika_Odessa_TechTalks
Microservice architecture is widespread our days. It comes with a lot of benefits and challenges to solve. Main goal of this talk is to go through troubleshooting and debugging in the distributed micro-service world. Topic would cover:
main aspects of the logging,
monitoring,
distributed tracing,
debugging services on the cluster.
About speaker:
Andrеy Kolodnitskiy is Staff engineer in the Lohika and his primary focus is around distributed systems, microservices and JVM based languages.
Majority of time engineers spend debugging and fixing the issues. This talk will be dedicated to best practicies and tools Andrеys team uses on its project which do help to find issues more efficiently.
Dev ops ci-ap-is-oh-my_security-gone-agile_ut-austinMatt Tesauro
An overview of how to change security from a reactive part of the org to a collaborative part of the agile development process. Using concepts from agile and DevOps, how can applicaton security get as nimble as product development has become.
Correlate Log Data with Business Metrics Like a JediTrevor Parsons
The Logentries and Hosted Graphite integration allows you to connect two of your favorite Ops tools to easily extract important data from your log files, visualize them as metrics, and share them in Hosted Graphite dashboards.
• Integrate your systems to extract the metrics you need, from both your applications and log data.
• Set-up log metric dashboards based on common use cases (e.g. error tracking, performance, app usage).
• Get off the "complexity elevator" of hosting your own in-house logging or graphite solutions.
• Delight your team and organization with valuable metrics and performance insights.
An overview of how to structure your Lumen APIs to make them awesome. Topics covered: requests, responses, logging, documentation and testing.
Slides assume some background in Laravel.
Building an Open Source AppSec Pipeline - 2015 Texas Linux FestMatt Tesauro
Take the ideas of DevOps and the notion of a delivery pipeline and combine them for an AppSec Pipeline. This talk covers the open source components used to create an AppSec Pipeline and the benefits we received from its implementation.
Logging and Exception handling is one of the easiest tools to use when debugging; but how can you take those massive logs, thousands of errors and effortlessly use them to build a better product? This presentation share our developers team's lesson-learned to expedite releases and fix app issues faster. It discuss best practices that will help your dev team build a culture of logging such as: what to log, how to log it, and how to proactively put it to use.
ATAGTR2017 Unified APM: The new age performance monitoring for production sys...Agile Testing Alliance
The presentation on Unified APM: The new age performance monitoring for production systems was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author.
Author and presenter : Kaushik Raghavan
This presentation, given at the Fort Worth .NET User Group on 19 Sept. 2017, talks about serverless technology: What it is, when it's best to use, its features and limitations. It specifically focuses on Azure Functions and Azure Logic Apps.
Almost every Node.js developer saw the joke of the huge node_modules folder tearing hole in the space-time continuum, but how many thought of what could be done to prevent this? read less
By fine-tuning our npm publishing workflow, we can save time, bandwidth and money for others, so let’s learn more about it! I’ll shed some light on how the npm module authoring works, and show some best practices on how we do npm authoring at our company.
Welcome to our impromptu coffeeshop where you can be the connected smart barista! Create the coffee that blends with technology, hack & tamper with hardware, and brew an espresso from the command line - or from the browser! Introduction into IOT: javascript & hardware, basics, but with spectacular results!
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
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.
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.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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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.
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.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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.
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12. Node best practices
• put your metrics on an accessible endpoint
/metrics
/status
• there are node libs to automate this
instrument http
• let the metrics tool do scraping, delivery
• watch those nice graphs ☺
check out grafana
13. Key metrics
• latency
check for slow queries,
create performance tests on them
iterate code, re-test again
do not average, use a histogram
• resource usage
slow memory leaks
disk is getting full
predict resource shortage via trends
latency
16. Catch errors as fast as possible!
• instant alert of production errors
• use while feature testing
• keep an eye on it during releases
• aggregate errors in a single service, see all
• catch before the user
17. Ideal error reports have
• environment of error
build / release / branch / server
• stack trace
exact code location
• custom data
anything that helps identifying the problem
18. Error log delivery
• can happen any time,
hopefully rare
• push data
• expect the unexpected,
handle the unhandled
• never log secrets
• sampling, throttling, timeout
do not let error logging itself
kill your app
25. Log levels, recap
• fatal - needs instant intervention, see error logs
• error - inform the user, see error logs
• warn - escalate if happens again
• info - just a step in a regular flow
• debug - full of lines, and traces
26. Benefits of logging, custom logs
• debug
• custom events
• tracking the usage and behaviour of app
• profile, AB test, product development
30. Best practices
• just put it to stdout
(docker & kubernetes clearly ecourages this)
• let the log collector handle it
• pipe stdout to a file, or whatever you like
• able to set to debug mode runtime
use signals
• never log secrets
38. Benefits
• ACL, policies
access set of secrets by
revokeable tokens
• centralized key rotation
edit, update all secrets
at one place
• single use access,
n-use access
• time bound keys
• audit log
• runtime access
no secrets stored on
disk
• build-time access
40. build
server
app
server
Secret Store
Build time Run time
Version Control
secret/name secret/name
secrets built in the
deployed code
secrets were requested
on app startup, stored only
in memory
- token
- secret/name
- actual secrets
- token
- secret/name
- actual secrets
41. Secret store server
• powerful encryption
• has to be unlocked on start
• secrets are totally inaccessible without
unlocking
45. Service discovery can help
• Service Registration
and notify other services of the registered one
• Service Discovery
searching for services?
• Monitoring
is a service active and responding?
• Load Balancing
direct traffic to the new service
46. How it works
• can act like a DNS
simple usecase
internal network
• can write / create configs
more complex
more control
47. How it works
APP
SD AGENT
check PORT
check PID
LBStart
scraping
metrics
Loadbalancer
directs
traffic
Service registry
48. Service discovery agent
• separate task, job, process
• can be configured what to check
• independent of your app
49. Service discovery services
• Apache Zookeeper
• Netflix Eureka
• HashiCorp Consul
• Doozer
• Etcd (can be used to build service discovery)
52. Process supervision
• keeping your app working
• based on some property you define
not just process id, but
port
ping
http response
• can fail after trying
55. Pro Con
Using
Monit
Not
using
Monit
monit can instantly
restart your failing
service
you might not know
why it was failing
MTTR* can be
relatively high
you can debug
what actually
happened
*Mean Time To Repair
57. Simple role
• start & stop your app
watch the process itself
handle process state
• send signals to the app
signals can be interpreted as tasks
58. Running Programs in general
• runit
• upstart
• systemd
• Supervisord
• God
• Circus
59. A good program runner
• distribution independent
you can migrate your scripts any time
• easy to config
60. monit + runit (or similar)
• avoid using auto restart in both
can create weird race conditions,
they do not know about each other
• use runit to configure app start/stop
• let monit decide when to restart & use runit