This document provides an overview of design patterns in Node.js. It discusses what design patterns are, why they are useful, and examples of common creational, structural and behavioral design patterns including Singleton, Prototype, Factory Method, Builder, Chain of Responsibility, Command, Iterator, Observer and Strategy patterns. Real-world examples are provided for each pattern to illustrate how it can solve common programming problems. The document also outlines topics for future talks on additional design patterns and resources for further learning.
stackconf 2021 | Setup Min.io and Open Policy Agent for a multi purpose scien...NETWAYS
At the Italian National Institute for Nuclear Physics (INFN) an effort is being made in leveraging modern cloud-native paradigms to build the scientific analysis infrastructure of the future. The talk will focus on the adopted storage platform that is based on Min.io with a fine grained authorization model obtained by the combination of the AWS STS authentication flow and the native integration with the OpenPolicyAgent. Moreover, a set of tools have been developed to allow users to access data with different mode spanning from the canonical S3 APIs until a POSIX like experience.
TUTORIAL: Digital Forensics and Incident Response in the Cloud
Cloud technologies have made it easier for organizations to adapt rapidly to changing IT needs. Teams may acquire (and destroy) new computing resources at a press of a button providing for very flexible deployment environment. While this capability is generally useful, it does come at the cost of increasing management overheads and particularly degraded security posture. Traditionally, IT managers have provided visibility into organizational inventories and could use this information to enforce org wide standard operating environments (SOEs), institute patching regimes etc. However, with the advent of cloud computing, every team can create new VMs and containers on a whim for both production and development use, typically consisting of the cloud service provider's SOE offering.
In this tutorial we explore open source tools available for managing cloud deployments. In particular we look at the endpoint monitoring solutions provided by Google's Rekall Agent and Facebook's OSQuery and how these can be integrated into typical cloud deployments. Delegates should be able to walk away from this tutorial being able to install and manage a cloud deployment of Rekall Agent and OSQuery on their VM endpoints.
These solutions allow the administrators to gain insight into their enterprise wide deployment. For example, one could ask questions such as:
What is the current patch level of all my cloud VM's and containers for each software package? Which VM's are in need of patching? Which VMs have been created recently, and do they comply with minimum security hardening standards?
Who has remote access to my VM's? E.g. via ssh authorized_keys? Via cloud IAM's security policy?
Do any VM's contain a particular indicator of compromise? E.g. Run a YARA signature over all executables on my virtual machines and tell me which ones match.
Tracing Micro Services with OpenTracingHemant Kumar
Tracing in the world of micro services has become a standard with people using distributed tracers like Zipkin, Jaeger, Appdash etc. But, with so many different tracers, its confusing to choose one tracer and then painful to replace a tracer. That's where OpenTracing comes in. OT provides a consistent, vendor-neutral API to allow users to choose whatever distributed tracer they need and can change the tracer with just an O(1) operation.
This workshop was given at the NZITF conference 2018 in Wellington. The workshop covers Velociraptor, a modern DFIR endpoint monitoring and response tool.
.NET Fest 2017. Андрей Антиликаторов. Проектирование и разработка приложений ...NETFest
В докладе будут рассмотрены принципы и лучшие практики создания гибких масштабируемых приложений на базе Microsoft .NET Core в связке с сервисами Microsoft Azure. Будет рассмотрен ряд полезных подходов, инструментов и библиотек, которые сильно упростят разработку, конфигурирование и развертывание приложений. Также будет уделено внимание некоторым “подводные камням”, с которыми может столкнуться человек, использующий .NET Core.
stackconf 2021 | Setup Min.io and Open Policy Agent for a multi purpose scien...NETWAYS
At the Italian National Institute for Nuclear Physics (INFN) an effort is being made in leveraging modern cloud-native paradigms to build the scientific analysis infrastructure of the future. The talk will focus on the adopted storage platform that is based on Min.io with a fine grained authorization model obtained by the combination of the AWS STS authentication flow and the native integration with the OpenPolicyAgent. Moreover, a set of tools have been developed to allow users to access data with different mode spanning from the canonical S3 APIs until a POSIX like experience.
TUTORIAL: Digital Forensics and Incident Response in the Cloud
Cloud technologies have made it easier for organizations to adapt rapidly to changing IT needs. Teams may acquire (and destroy) new computing resources at a press of a button providing for very flexible deployment environment. While this capability is generally useful, it does come at the cost of increasing management overheads and particularly degraded security posture. Traditionally, IT managers have provided visibility into organizational inventories and could use this information to enforce org wide standard operating environments (SOEs), institute patching regimes etc. However, with the advent of cloud computing, every team can create new VMs and containers on a whim for both production and development use, typically consisting of the cloud service provider's SOE offering.
In this tutorial we explore open source tools available for managing cloud deployments. In particular we look at the endpoint monitoring solutions provided by Google's Rekall Agent and Facebook's OSQuery and how these can be integrated into typical cloud deployments. Delegates should be able to walk away from this tutorial being able to install and manage a cloud deployment of Rekall Agent and OSQuery on their VM endpoints.
These solutions allow the administrators to gain insight into their enterprise wide deployment. For example, one could ask questions such as:
What is the current patch level of all my cloud VM's and containers for each software package? Which VM's are in need of patching? Which VMs have been created recently, and do they comply with minimum security hardening standards?
Who has remote access to my VM's? E.g. via ssh authorized_keys? Via cloud IAM's security policy?
Do any VM's contain a particular indicator of compromise? E.g. Run a YARA signature over all executables on my virtual machines and tell me which ones match.
Tracing Micro Services with OpenTracingHemant Kumar
Tracing in the world of micro services has become a standard with people using distributed tracers like Zipkin, Jaeger, Appdash etc. But, with so many different tracers, its confusing to choose one tracer and then painful to replace a tracer. That's where OpenTracing comes in. OT provides a consistent, vendor-neutral API to allow users to choose whatever distributed tracer they need and can change the tracer with just an O(1) operation.
This workshop was given at the NZITF conference 2018 in Wellington. The workshop covers Velociraptor, a modern DFIR endpoint monitoring and response tool.
.NET Fest 2017. Андрей Антиликаторов. Проектирование и разработка приложений ...NETFest
В докладе будут рассмотрены принципы и лучшие практики создания гибких масштабируемых приложений на базе Microsoft .NET Core в связке с сервисами Microsoft Azure. Будет рассмотрен ряд полезных подходов, инструментов и библиотек, которые сильно упростят разработку, конфигурирование и развертывание приложений. Также будет уделено внимание некоторым “подводные камням”, с которыми может столкнуться человек, использующий .NET Core.
TUTORIAL: Digital Forensics and Incident Response in the Cloud
Cloud technologies have made it easier for organizations to adapt rapidly to changing IT needs. Teams may acquire (and destroy) new computing resources at a press of a button providing for very flexible deployment environment. While this capability is generally useful, it does come at the cost of increasing management overheads and particularly degraded security posture. Traditionally, IT managers have provided visibility into organizational inventories and could use this information to enforce org wide standard operating environments (SOEs), institute patching regimes etc. However, with the advent of cloud computing, every team can create new VMs and containers on a whim for both production and development use, typically consisting of the cloud service provider's SOE offering.
In this tutorial we explore open source tools available for managing cloud deployments. In particular we look at the endpoint monitoring solutions provided by Google's Rekall Agent and Facebook's OSQuery and how these can be integrated into typical cloud deployments. Delegates should be able to walk away from this tutorial being able to install and manage a cloud deployment of Rekall Agent and OSQuery on their VM endpoints.
These solutions allow the administrators to gain insight into their enterprise wide deployment. For example, one could ask questions such as:
What is the current patch level of all my cloud VM's and containers for each software package? Which VM's are in need of patching? Which VMs have been created recently, and do they comply with minimum security hardening standards?
Who has remote access to my VM's? E.g. via ssh authorized_keys? Via cloud IAM's security policy?
Do any VM's contain a particular indicator of compromise? E.g. Run a YARA signature over all executables on my virtual machines and tell me which ones match.
Tracing 2000+ polyglot microservices at Uber with Jaeger and OpenTracingYuri Shkuro
Slides from my talk & demo at Go NYC Meeetup 19-Jan-2017.
We present Jaeger, Uber’s open source distributed tracing system, featuring Go backend, React based UI, and OpenTracing API support. We show examples of instrumenting application code for tracing and using distributed context propagation to attribute backend resource usage to top level consumers.
This discussion focuses on the observability of WSO2 products, the tools for observability, and how WSO2 will make its next generation products observable by default using well-known standards like OpenTracing specification.
Distributed tracing - get a grasp on your productionnklmish
Slides from my presentation on distributed tracing, explaining what is latency and why it matters. We took a look at openzipkin and its concepts like how the core annotations works, what are tags/logs, etc. Followed by a demo application created using golang and java (spring boot , spring cloud sleuth zipkin) . You can find source code here
https://github.com/nklmish/go-distributed-tracing-demo
https://github.com/nklmish/java-distributed-tracing-demo
How to Build a ML Platform Efficiently Using Open-SourceDatabricks
Fast-growing startups usually face a common set of challenges when employing machine learning. Data scientists are expected to work on new products and develop new models as well as iterate on existing ones. Once in production, models should be continuously monitored and regularly maintained as the infrastructure evolves. Before too long, data scientists end up spending most of their time doing maintenance and firefighting of existing models instead of creating new ones.
At GetYourGuide, we faced these challenges and decided to think about machine learning development holistically, which led us to our machine learning platform. Our platform uses MLflow to keep track of our machine learning life-cycle and ease the development experience. To integrate our models into our production environment, we also need to deal with additional requirements like API specification, SLOs and monitoring. To empower our data scientists, we have built a templating system that takes care of the heavy lifting of going to production, leveraging software engineering tools and ML-specific ones like BentoML.
In this talk we will present:
– Our previous approaches for deploying models and their tradeoffs
– Our data science and platform principles
– The main functionalities of our platform
– A live demo to create a new service
– Our learnings in the process
Microservices, Kafka Streams and KafkaEsqueconfluent
Speakers: Patrick Schuh, Bearing Point + Patrik Kleindl, Bearing Point
Abstract:
- Managing topic configurations and dependencies in a microservice deployment
- Managing Kafka Streams configurations
- KafkaEsque: an open source support tool for Apache Kafka® development (https://github.com/patschuh/KafkaEsque)
.NET Fest 2017. Денис Резник. Исполнение Запроса в SQL Server. Ожидание - Реа...NETFest
Наверняка тема вам уже знакома в той или иной мере. Согласитесь, так бывает, что запуская запрос мы ожидаем чего-то определённого, а получаем нечто иное. Меняем опцию чтобы запрос выполнялся быстрее, а он начинает тормозить. Ожидаем что запрос выполнится (в принципе), а он висит вечно, или даже не начинает выполняться. Ожидаем что запрос будет искать данные по индексу, а он сваливается в Full Scan.
В этом докладе мы рассмотрим ряд таких непонятных, на первый взгляд, ситуаций и заглянем под капот SQL Server чтобы разобраться как это работает и почему ожидания не совпадают с реальностью.
stackconf 2021 | Why you should take care of infrastructure driftNETWAYS
As infrastructure as code (IaC) becomes widely adopted by users with heterogenous skillsets, and as IaC codebases become larger and larger, it becomes harder to track drift. Drift is a deviation between the actual infrastructure state and the IaC codebase. It causes issues for security posture management, collaborative work, and maintenance. There are a lot of juicy stories from the trenches to be told on infrastructure drift. Sure enough, we all do GitOps by the book! Or we all have the right processes in place. But we also have to interact with other teams. We also have to grant some level of access to our infrastructures to some services or tools that may eventually generate uncontrolled changes. You can’t efficiently improve what you don’t track. We track coverage for unit tests, why not infrastructure as code coverage? How can we make sure our infrastructure code matches our actual infrastructure state? In this talk, using Terraform with AWS resources, I will show how infrastructure drift can go undetected despite our best efforts or tooling and cause issues and end the talk by showing our own free and open source tool driftctl, (just released under Apache-2.0 licence) that tracks IaC coverage and warns of infrastructure drift.
In this episode, we will focus on open sourcing how we run Netflix's open source program. Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.
Lecture two,
An introduction to Design Pattern
History
Pattern Language,
Categorization according to GoF
MVC
Creational Design Patterm
Factory Method
Abstract Factory
Singleton
Builder
TUTORIAL: Digital Forensics and Incident Response in the Cloud
Cloud technologies have made it easier for organizations to adapt rapidly to changing IT needs. Teams may acquire (and destroy) new computing resources at a press of a button providing for very flexible deployment environment. While this capability is generally useful, it does come at the cost of increasing management overheads and particularly degraded security posture. Traditionally, IT managers have provided visibility into organizational inventories and could use this information to enforce org wide standard operating environments (SOEs), institute patching regimes etc. However, with the advent of cloud computing, every team can create new VMs and containers on a whim for both production and development use, typically consisting of the cloud service provider's SOE offering.
In this tutorial we explore open source tools available for managing cloud deployments. In particular we look at the endpoint monitoring solutions provided by Google's Rekall Agent and Facebook's OSQuery and how these can be integrated into typical cloud deployments. Delegates should be able to walk away from this tutorial being able to install and manage a cloud deployment of Rekall Agent and OSQuery on their VM endpoints.
These solutions allow the administrators to gain insight into their enterprise wide deployment. For example, one could ask questions such as:
What is the current patch level of all my cloud VM's and containers for each software package? Which VM's are in need of patching? Which VMs have been created recently, and do they comply with minimum security hardening standards?
Who has remote access to my VM's? E.g. via ssh authorized_keys? Via cloud IAM's security policy?
Do any VM's contain a particular indicator of compromise? E.g. Run a YARA signature over all executables on my virtual machines and tell me which ones match.
Tracing 2000+ polyglot microservices at Uber with Jaeger and OpenTracingYuri Shkuro
Slides from my talk & demo at Go NYC Meeetup 19-Jan-2017.
We present Jaeger, Uber’s open source distributed tracing system, featuring Go backend, React based UI, and OpenTracing API support. We show examples of instrumenting application code for tracing and using distributed context propagation to attribute backend resource usage to top level consumers.
This discussion focuses on the observability of WSO2 products, the tools for observability, and how WSO2 will make its next generation products observable by default using well-known standards like OpenTracing specification.
Distributed tracing - get a grasp on your productionnklmish
Slides from my presentation on distributed tracing, explaining what is latency and why it matters. We took a look at openzipkin and its concepts like how the core annotations works, what are tags/logs, etc. Followed by a demo application created using golang and java (spring boot , spring cloud sleuth zipkin) . You can find source code here
https://github.com/nklmish/go-distributed-tracing-demo
https://github.com/nklmish/java-distributed-tracing-demo
How to Build a ML Platform Efficiently Using Open-SourceDatabricks
Fast-growing startups usually face a common set of challenges when employing machine learning. Data scientists are expected to work on new products and develop new models as well as iterate on existing ones. Once in production, models should be continuously monitored and regularly maintained as the infrastructure evolves. Before too long, data scientists end up spending most of their time doing maintenance and firefighting of existing models instead of creating new ones.
At GetYourGuide, we faced these challenges and decided to think about machine learning development holistically, which led us to our machine learning platform. Our platform uses MLflow to keep track of our machine learning life-cycle and ease the development experience. To integrate our models into our production environment, we also need to deal with additional requirements like API specification, SLOs and monitoring. To empower our data scientists, we have built a templating system that takes care of the heavy lifting of going to production, leveraging software engineering tools and ML-specific ones like BentoML.
In this talk we will present:
– Our previous approaches for deploying models and their tradeoffs
– Our data science and platform principles
– The main functionalities of our platform
– A live demo to create a new service
– Our learnings in the process
Microservices, Kafka Streams and KafkaEsqueconfluent
Speakers: Patrick Schuh, Bearing Point + Patrik Kleindl, Bearing Point
Abstract:
- Managing topic configurations and dependencies in a microservice deployment
- Managing Kafka Streams configurations
- KafkaEsque: an open source support tool for Apache Kafka® development (https://github.com/patschuh/KafkaEsque)
.NET Fest 2017. Денис Резник. Исполнение Запроса в SQL Server. Ожидание - Реа...NETFest
Наверняка тема вам уже знакома в той или иной мере. Согласитесь, так бывает, что запуская запрос мы ожидаем чего-то определённого, а получаем нечто иное. Меняем опцию чтобы запрос выполнялся быстрее, а он начинает тормозить. Ожидаем что запрос выполнится (в принципе), а он висит вечно, или даже не начинает выполняться. Ожидаем что запрос будет искать данные по индексу, а он сваливается в Full Scan.
В этом докладе мы рассмотрим ряд таких непонятных, на первый взгляд, ситуаций и заглянем под капот SQL Server чтобы разобраться как это работает и почему ожидания не совпадают с реальностью.
stackconf 2021 | Why you should take care of infrastructure driftNETWAYS
As infrastructure as code (IaC) becomes widely adopted by users with heterogenous skillsets, and as IaC codebases become larger and larger, it becomes harder to track drift. Drift is a deviation between the actual infrastructure state and the IaC codebase. It causes issues for security posture management, collaborative work, and maintenance. There are a lot of juicy stories from the trenches to be told on infrastructure drift. Sure enough, we all do GitOps by the book! Or we all have the right processes in place. But we also have to interact with other teams. We also have to grant some level of access to our infrastructures to some services or tools that may eventually generate uncontrolled changes. You can’t efficiently improve what you don’t track. We track coverage for unit tests, why not infrastructure as code coverage? How can we make sure our infrastructure code matches our actual infrastructure state? In this talk, using Terraform with AWS resources, I will show how infrastructure drift can go undetected despite our best efforts or tooling and cause issues and end the talk by showing our own free and open source tool driftctl, (just released under Apache-2.0 licence) that tracks IaC coverage and warns of infrastructure drift.
In this episode, we will focus on open sourcing how we run Netflix's open source program. Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.
Lecture two,
An introduction to Design Pattern
History
Pattern Language,
Categorization according to GoF
MVC
Creational Design Patterm
Factory Method
Abstract Factory
Singleton
Builder
The first session on design patterns that makes the audience aware of the patterns.
P.S. The implementation are more from explanation perse rather than focusing on being 100% correct. The idea is to make the audience understand patterns rather than putting 100% correct code for the pattern.
Chapter 02 of the lecture Style & Design Principles taught at SAE Institute Hamburg.
Introduction to advanced concepts of object-oriented design, such as delegation, polymorphism, cohesion and coupling, and to behavioral, creational and structural design patterns.
Introduction about design patterns to design an application.
Not all design patterns are presented here, just some of them.
This presentation has been done during our weekly lunch presentation.
Agenda
• Understanding the evolution of the web.
• Web 3 architecture
• Getting started as a Web 3 developer
Speakers
• Lipsa Chhotray
• O.P. Pachoriya
• Rahul Mohan
Topics covered:
1. Generating a new Remix project
2. Conventional files
3. Routes (including the nested variety)
4. Styling
5. Database interactions (via sqlite and prisma)
6. Mutations, Validation, and Authentication
7. Error handling
8. SEO with Meta Tags and much more
This presentation includes challenges in testing, levels of testing, best practices and policies, Test Drive Design(TDD),
Behavioral Driven Design (BDD Testing), TDD v/s BDD
Setting Up Development Environment For Google App Engine & Python | TalenticaTalentica Software
Google App Engine is a PAAS offering from Google Cloud Platform, which enables you to build complex web solutions with significant ease without worrying too much about the scalability or infrastructure management.
Glimpse through our presentation as we explain how to build GAE apps using pycharm with debugging enabled. To know more click here https://www.talentica.com/blogs/setting-up-development-environment-for-google-app-engine-and-python/
Know About Talentica -
Talentica Software is an innovative outsourced product development company that helps startups build their own products. We help technology companies transform their ideas into successful products by partnering in their roadmap from pre-funded startups to a profitable acquisition.
We have successfully built core intellectual property for more than 100 customers so far. We have the deep technological expertise, proven track record, and unique methodology to build products successfully. Our customers include some of the most innovative product companies in the USA, Europe, and India.
To know more about how Talentica have helped startups grow click here https://www.talentica.com/work.html
To know more about Talentica click here https://www.talentica.com/
To get in touch with us click here https://www.talentica.com/contact.htm
Connected World in android - Local data sharing and service discoveryTalentica Software
With the boom of IOT, BLE (Bluetooth low energy) and other connected devices and protocols, android app development is no longer limited to basic client server interaction. Android app development now includes interaction with other devices (not necessarily android) in the vicinity, at its very core.
Transferring files with friends without internet, Bluetooth and WiFi; streaming media from your phone or tablet to dumb plain TV (without HDMI cables) and switching off bedroom light with phone have become part of our lives. Let's explore how it's done and where do we need to start to kick start such projects.
In this session we will explore:
• Communication between connected and non-connected android devices.
• BLE overview (Bluetooth Low Energy).
• BLE APIs you should know about.
• WiFi-Direct and P2P.
• WiFi-Direct service discovery.
• Network service discovery (NSD) and relevant demos
One of the challenges faced by many web development based projects is the integration of source code for multiple releases during parallel development. The task to build and test the multiple versions of source code can eat out the quality time and limit the efficiency of the development/QA team. The case study focuses to resolve the issues of extensive effort consumed in build and deployment process from multiple branches in source repository and aim at Identification of source code integration issues at the earliest stage. This can further be enhanced to limit the manual intervention by integration of build system with test automation tool.
The above can be achieved by using different CI tools (like Hudson/Bamboo/TeamCity/CruiseControl etc) for continuous build preparation and its integration with any test automation suite. The case study specifies the use of CI-Hudson tool for continuous integration using ANT tool for build preparation and further invoking the automation test suite developed using selenium. It also discusses the limitations and challenges of using such an integration system for testing a web based application deployed on Apache Tomcat server. It also details additional plugins available to enhance such an integration of multiple systems and what can be achieved using the above integration.
Technology Challenges in Building New Media ApplicationsTalentica Software
New media applications need to connect to millions of users across multiple media and platforms.
Applications simultaneously need to
- Work across computers, smart phones and other mobile devices, all of which have to sync up seamlessly in the background.
- Link to various social media platforms, such as blogs, twitter, facebook, etc.
- Target the content to the users of each of these platforms
This brings up its own set of technical challenges namely scalable application architectures, flexible IT infrastructure and tools for targeting
Flex on Grails - Rich Internet Applications With Rapid Application DevelopmentTalentica Software
Flex on Grails lets you combine the processes and technologies of rapid application development to the creation of Rich Internet Applications (RIAs).
This session provides an introduction to Flex on Grails and benefits of Flex over an Ajax based web application. Learn how to build / debug and run an application using Flex on Grails. The session is based on the experience gained while building an internal CRM application which took us days instead of weeks to develop!
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
4. Agenda contd.
• Behavioural design patterns
• The chain of responsibility pattern
• The command pattern
• The iterator pattern
• The observer pattern
• The strategy pattern
4
5. What should you know
• Understanding of JavaScript
• Some working knowledge with Node.js
• Experience working in Object Oriented
Programming environment
5
10. What are design patterns?
Reusable, reliable solutions to problem that we face
every day in software development
10
11. Why Design Patterns?
• Cataloged solutions
• Reusable in many different situations
• Well documented
• Language for collaboration
• Improve architecture
• Write better program
• Become a better programmer
11
12. Gang of Four (GoF)
• Elements of Reusable Object-Oriented Software
- Gang of Four, 1994
• Design Patterns definition
• Pattern name
• The problem
• The solution
• Consequences
12
13. Classical design patterns
13
Creational
These patterns have to do with
class instantiation, the creation of
object instances in our applications
Structural
Structural design patterns have to
do with the way objects are
composed or put together
Behavioral
Behavioral design patterns define
how objects interact with one
another
16. Demo - Singleton
• Singleton Problem
• Class instantiates multiple objects
• Singleton Pattern solution
• Create single instance of the class throughout execution
• Singletons in node.js
• Module caching mechanism
16
17. Prototype Pattern
Specify the kinds of objects to create using
prototypical instance and create new objects by
copying this prototype
17
18. Demo - Prototype
• Prototype Problem
• Object creation is repetitive and costly
• Prototype Pattern solution
• The Clone() method
18
19. Factory Method Pattern
Define an interface for creating an object, but let
subclasses decide which class to instantiate. Factory
method lets a class defer instantiation to subclasses
19
20. Demo - Factory Method
• Factory Method problem
• Object creation with exposed logic
• Factory Method pattern solution
• Provide common interface to create new objects
20
21. Builder pattern
Separate the construction of a complex object from
its representation so that the same construction
process can create different representations
21
22. Demo - Builder
• Builder Problem
• Telescoping Constructor Anti Pattern
• Builder pattern solution
• Reduce parameters to the properties, make highly
readable method calls
22
23. Chain of responsibility
The GoF defines the intent of the Chain of Responsibility pattern as, to avoid
coupling the sender of a request and its receiver by giving more than one object a
chance to handle the request. Chain the receiving objects and pass the request
along the chain until an object handles it.
23
30. The command pattern
The Gang of Four defines the intent the command pattern as encapsulating a
request as an object, thereby letting you parameterize clients with different
requests, queue or log requests, and support undoable operations
30
31. Examples?
• People
• A customer in a restaurant
• Programming
• An editor application
31
36. The iterator pattern
The Gang of Four defines the intent of the iterator as providing a way to access
the elements of an aggregate object (Stack, trees etc.,) sequentially without
exposing its underlying representation.
36
37. Examples?
• People
• A tourist without/with guides
• Programming
• Traversing in different ways on a given collection
37
41. The Observer pattern
The Gang of Four defines the intent of the observer pattern as, "Defining a one-
to-many dependency between objects so that when one object changes state, all
of its dependents are notified and updated automatically."
41
42. Examples?
• People
• Newsletters
• Programming
• Event based triggers, On successful transaction,
generate receipt, send payment acknowlegement email,
send receipt etc.
42
47. The strategy pattern
The Gang of Four defines a strategy as a family of algorithms, encapsulate each
one, and make them interchangeable. Strategy lets the algorithm vary
independently from the clients that use it.
47
48. Examples?
• People
• Travelling to a destination
• Programming
• Support for different payment services
• Support for different logging services
48
52. Design patterns are cool!
52
Let's learn more
about them.
Let's use them. And let's introduce
the new ones!
53. Topics for later talks
• Structural design patterns
• Adapter patterns
• Proxy patterns
• Composite patterns
• Decorator patterns
• Other design patterns
53
54. Resources
• A course by Alex Banks on LinkedIn Learning
• A course by Sachin Bhatnagar on Udemy
• https://refactoring.guru/design-patterns
• Different resourses by Mosh Hamedani
54