High level overview of Electron performance tips and tricks, and a look at the new C++ architecture of Mailspring (https://getmailspring.com/) — presented Nov. 1st at the Bay Area Electron Meetup
Benchmarking: You're Doing It Wrong (StrangeLoop 2014)Aysylu Greenberg
Knowledge of how to set up good benchmarks is invaluable in understanding performance of the system. Writing correct and useful benchmarks is hard, and verification of the results is difficult and prone to errors. When done right, benchmarks guide teams to improve the performance of their systems. When done wrong, hours of effort may result in a worse performing application, upset customers or worse! In this talk, we will discuss what you need to know to write better benchmarks. We will look at examples of bad benchmarks and learn about what biases can invalidate the measurements, in the hope of correctly applying our new-found skills and avoiding such pitfalls in the future.
Make Data Smart Again 2018 - Building a Smart Security Camera with Raspberry ...Mark West
In this session I’ll share the story of how I transformed a simple Raspberry Pi Zero webcam into a Smart Security Camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based AI. Attendees can expect a demonstration of how I used a range of AWS API’s (including Rekognition, Lambda and Step Functions) to help my Smart Security Camera distinguish between an unwanted guest and the neighbours’ cat.
The document discusses cloud computing and sample cloud deployment architectures. It provides examples of how Animoto used RightScale to automatically scale their infrastructure in response to increased traffic. It also describes strategies for database failover and high availability in the cloud, including promoting a slave database to master if the primary fails and starting replication from snapshots.
The document discusses cloud computing and sample cloud deployment architectures. It describes how Animoto used RightScale to automatically scale their infrastructure in response to increased load. It also addresses how to handle database failures in the cloud by promoting a slave database to master and launching a new slave from a snapshot when the master fails.
How does the guardian website scale?
With millions of page views per month, we need to think about scaling to an extreme level. But being Agile we did it as we went.
Updating Ember Models in Real-time with Sockets and RxKeith Silgard
1) The document discusses updating an Ember application in real-time by connecting to a live events socket to receive a mixed feed of all subscribed events and manually register for chat channels.
2) An initial attempt at going real-time had issues with staying connected to an unpredictable service, updating with messages sent while disconnected, and maintaining state on live chat channels.
3) RxJS was used as a solution but introduced complexity, though it transformed observable sequences into the most recent one and addressed issues like staying connected and updating models.
AWS Lambda is a serverless compute service that runs code in response to events, automatically managing resources. It handles capacity, scaling, deployment, monitoring, logging, and security patching. Developers pay only for the compute time used to run their code, avoiding the need to provision and manage servers. Lambda functions can be triggered by events from services like API Gateway or S3 and are written in languages like Node.js, Python, Java, and C#.
Scaling on Amazon AWS : From the perspective of AWS, and the application stack. Talks about the available options on AWS, and also the architecture of the scalable application.
What is test-driven Infrastructure ? How you can test your ops side ? What is chaos monkey and how Sony is using it ? What is testinfra ? How to write acceptance tests in Infrastructure ?
The challenges of live events scalabilityGuy Tomer
Guy Tomer, founder of attracTV, discusses the challenges of supporting large online live events with TV participation. AttracTV supported an online music awards show with over 1 million streams and 100,000 concurrent users. Key challenges included scaling to support these large user numbers, handling steep increases in users, managing large amounts of data, maintaining high availability, testing at this scale, and controlling costs. Tomer emphasizes planning for horizontal scalability, keeping things simple, testing under realistic conditions, continuous monitoring, and using cloud infrastructure to handle demand flexibly at an affordable cost.
Spotify's Music Recommendations Lambda ArchitectureEsh Vckay
Spotify's Collaborative Filtering platform powers our Discover Page. In light of the fact, that we have been adding one new user every three seconds, it is paramount that we do things in real-time. We redesigned our recommendation system and added a Storm based real-time platform.
Denver AWS Users' Group Meeting - July 2018 SlidesDavid McDaniel
This document summarizes the July 2018 meeting of the AWS Users' Group in Denver. It thanks sponsors Eplexity and Prestige for hosting the event and providing food and drinks. The agenda includes discussions on methodology changes when moving applications to the cloud as well as cloud optimization best practices. Attendees are provided WiFi login details and reminded to follow the group on Twitter. Upcoming events and resources are also listed.
This document outlines 5 challenges that can be addressed using new features in FME Server 2019. It summarizes each challenge and demonstrates how automations and system events in FME Server can be used to automatically run workspaces when data arrives, run nightly updates on a schedule, orchestrate complex workflows, and notify administrators via email when new users are created. It concludes by listing some of the new features in FME Server 2019 such as FME Server apps, automations, system events, job log filtering, and improved password security rules and user preferences.
Monitoring the unknown, 1000*100 series a day - Big Data Vilnius 2017Quentin Adam
How to monitor unknown third party code? One of the hardest challenges we face running Clever Cloud, apart from the impressive scale we face with hundreds of new applications per week, is the monitoring of unknown tech stacks. The first goal of rebuilding the monitoring platform was to accommodate the immutable infrastructure pattern that generates lots of ephemeral hosts every minute. The traditional approach is to focus on VMs or hosts, not applications. We needed to shift this into an approach of auto-discovery of metrics to monitor, allowing third party code to publish new items. This talk explains our journey in building Clever Cloud Metrics stack, heavily based on Warp10 (Kafka/Hadoop/Storm based) to deliver developer efficiency and trustability to our clients applications.
JUST EAT: Tools we use to enable our culturePeter Mounce
Just Eat is an online takeaway company that has been operating since 2001 in Denmark and 2005 in the UK. They have adopted a DevOps culture where each team owns their own features and infrastructure. To enable this distributed system on Windows at scale without an Active Directory, they rely on tools like persistent chat, real-time monitoring, alerting, and centralized logging to improve collaboration and debugging in production. Their most important aspects are culture, autonomy for teams, and pragmatic use of tools based on merit.
Tavernalc: How to transform your OpenOffice Calc into a grid.Alexandro Colorado
This document discusses Tavernalc, a tool that integrates the workflow capabilities of Taverna into OpenOffice Calc spreadsheets. It provides an overview of Tavernalc's functionality from the user and developer perspectives, how it represents Taverna workflows and data types within Calc, and the developers' experience using the OpenOffice API.
Promise of a better future by Rahul Goma Phulore and Pooja Akshantal, Thought...Thoughtworks
With the recent, vivid trend towards multicore hardware and the ever growing application requirements, concurrency is no more a niche area it used to be, and is slowly becoming a norm. In this talk, we will talk about promises/futures, one of the concurrency models that has risen to the occasion. We will look at what they are, how they're implemented and used in Java and Javascript. We will see how Scala, with its functional paradigm and greater abstraction capabilities, avoids "callback hell" typically associated with the model, allows writing of concurrent code in "direct style", and thereby greatly reduces the cognitive burden, allowing you to focus on application logic better.
This document discusses serverless computing with AWS Lambda. It begins by explaining that serverless does not mean there are no servers, but rather code is executed when triggered by events. An example is given of a serverless API using API Gateway to trigger a Lambda function. The document outlines some key aspects of how serverless works with Lambda such as supported languages, logging to CloudWatch, and resource limits for Lambda functions. Overall limits are discussed and it is noted autoscaling can provide more resources when needed. The document concludes by mentioning potential use cases for serverless and posing questions.
Gilles will be sharing some of the experiences they faced first hand, how they resolved them and what they are looking to do differently in the future
* Presented at the Sydney AWS Meetup session 6th July 2016
http://www.meetup.com/AWS-Sydney/
Hosted and organised by PolarSeven - http://polarseven.com
Technical presentation around the challenges and technical concerns, you need to plan when you try to make the jump of using containers in a production environment with Amazon Elastic Container Service (ECS)
The document discusses using FME 2019 to help the FME Lizard find a new office location based on specific criteria. It then summarizes the key highlights of FME 2019 Desktop including improved performance, a dark mode, new transformers, readers/writers for additional formats, and the ability to more quickly obtain fixes and new features through FME packages. The document concludes by noting upcoming FME connectors and mobile app capabilities in FME 2019.
This document is Charles Qian's resume. It summarizes that he is a computer science student at Cornell University expected to graduate in May 2017 with a 3.72 GPA. It lists his relevant coursework, skills in programming languages and tools, experience as an intern and teaching assistant, and projects including open source contributions and hackathon projects. It also notes that he is currently president of his a cappella group.
Quarterly Technology Briefing, Manchester, UK September 2013Thoughtworks
This document summarizes a tech lab experiment conducted by ThoughtWorks to explore graph databases and cloud deployment. The team modeled Manchester's tram network as a graph database to understand its benefits. They iteratively improved the data and query models. The working app was deployed to AWS and automatically updated. The team successfully met the desired outcomes of the lab by gaining technical knowledge, producing a working demo, collateral materials, and excitement in the community. Next steps discussed expanding the work to clients and open sourcing parts of the project.
The author explains continuous integration to their parents by describing how they automated the provisioning of cloud infrastructure on Amazon Web Services (AWS) using configuration files, source control, and a Jenkins continuous integration system. The Jenkins project checks out configuration files from source control, manipulates them to deploy AWS resources like servers and databases, and allows developers to build test environments by clicking a green button, saving significant time compared to manual deployment.
How to build a SaaS solution in 60 daysBrett McLain
Brett McLain built a SaaS solution in 60 days using MeteorJS to manage remote devices that customers used to control things like vehicle starters and irrigation pumps remotely via SMS or phone calls. He chose MeteorJS because it provided an integrated full-stack framework with reactivity out of the box. Key features included authentication using accounts packages, managing user devices and commands in MongoDB, and integrating Twilio and Stripe for SMS/call functionality and payments. The final application allowed users to control devices, monitor usage, and subscribe to the service with a credit card through Stripe for a simple backend-free payment experience.
Lessons Learned Replatforming A Large Machine Learning Application To Apache ...Databricks
Morningstar’s Risk Model project is created by stitching together statistical and machine learning models to produce risk and performance metrics for millions of financial securities. Previously, we were running a single version of this application, but needed to expand it to allow for customizations based on client demand. With the goal of running hundreds of custom Risk Model runs at once at an output size of around 1TB of data each, we had a challenging technical problem on our hands! In this presentation, we’ll talk about the challenges we faced replatforming this application to Spark, how we solved them, and the benefits we saw.
Some things we’ll touch on include how we created customized models, the architecture of our machine learning application, how we maintain an audit trail of data transformations (for rigorous third party audits), and how we validate the input data our model takes in and output data our model produces. We want the attendees to walk away with some key ideas of what worked for us when productizing a large scale machine learning platform.
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.
Scaling on Amazon AWS : From the perspective of AWS, and the application stack. Talks about the available options on AWS, and also the architecture of the scalable application.
What is test-driven Infrastructure ? How you can test your ops side ? What is chaos monkey and how Sony is using it ? What is testinfra ? How to write acceptance tests in Infrastructure ?
The challenges of live events scalabilityGuy Tomer
Guy Tomer, founder of attracTV, discusses the challenges of supporting large online live events with TV participation. AttracTV supported an online music awards show with over 1 million streams and 100,000 concurrent users. Key challenges included scaling to support these large user numbers, handling steep increases in users, managing large amounts of data, maintaining high availability, testing at this scale, and controlling costs. Tomer emphasizes planning for horizontal scalability, keeping things simple, testing under realistic conditions, continuous monitoring, and using cloud infrastructure to handle demand flexibly at an affordable cost.
Spotify's Music Recommendations Lambda ArchitectureEsh Vckay
Spotify's Collaborative Filtering platform powers our Discover Page. In light of the fact, that we have been adding one new user every three seconds, it is paramount that we do things in real-time. We redesigned our recommendation system and added a Storm based real-time platform.
Denver AWS Users' Group Meeting - July 2018 SlidesDavid McDaniel
This document summarizes the July 2018 meeting of the AWS Users' Group in Denver. It thanks sponsors Eplexity and Prestige for hosting the event and providing food and drinks. The agenda includes discussions on methodology changes when moving applications to the cloud as well as cloud optimization best practices. Attendees are provided WiFi login details and reminded to follow the group on Twitter. Upcoming events and resources are also listed.
This document outlines 5 challenges that can be addressed using new features in FME Server 2019. It summarizes each challenge and demonstrates how automations and system events in FME Server can be used to automatically run workspaces when data arrives, run nightly updates on a schedule, orchestrate complex workflows, and notify administrators via email when new users are created. It concludes by listing some of the new features in FME Server 2019 such as FME Server apps, automations, system events, job log filtering, and improved password security rules and user preferences.
Monitoring the unknown, 1000*100 series a day - Big Data Vilnius 2017Quentin Adam
How to monitor unknown third party code? One of the hardest challenges we face running Clever Cloud, apart from the impressive scale we face with hundreds of new applications per week, is the monitoring of unknown tech stacks. The first goal of rebuilding the monitoring platform was to accommodate the immutable infrastructure pattern that generates lots of ephemeral hosts every minute. The traditional approach is to focus on VMs or hosts, not applications. We needed to shift this into an approach of auto-discovery of metrics to monitor, allowing third party code to publish new items. This talk explains our journey in building Clever Cloud Metrics stack, heavily based on Warp10 (Kafka/Hadoop/Storm based) to deliver developer efficiency and trustability to our clients applications.
JUST EAT: Tools we use to enable our culturePeter Mounce
Just Eat is an online takeaway company that has been operating since 2001 in Denmark and 2005 in the UK. They have adopted a DevOps culture where each team owns their own features and infrastructure. To enable this distributed system on Windows at scale without an Active Directory, they rely on tools like persistent chat, real-time monitoring, alerting, and centralized logging to improve collaboration and debugging in production. Their most important aspects are culture, autonomy for teams, and pragmatic use of tools based on merit.
Tavernalc: How to transform your OpenOffice Calc into a grid.Alexandro Colorado
This document discusses Tavernalc, a tool that integrates the workflow capabilities of Taverna into OpenOffice Calc spreadsheets. It provides an overview of Tavernalc's functionality from the user and developer perspectives, how it represents Taverna workflows and data types within Calc, and the developers' experience using the OpenOffice API.
Promise of a better future by Rahul Goma Phulore and Pooja Akshantal, Thought...Thoughtworks
With the recent, vivid trend towards multicore hardware and the ever growing application requirements, concurrency is no more a niche area it used to be, and is slowly becoming a norm. In this talk, we will talk about promises/futures, one of the concurrency models that has risen to the occasion. We will look at what they are, how they're implemented and used in Java and Javascript. We will see how Scala, with its functional paradigm and greater abstraction capabilities, avoids "callback hell" typically associated with the model, allows writing of concurrent code in "direct style", and thereby greatly reduces the cognitive burden, allowing you to focus on application logic better.
This document discusses serverless computing with AWS Lambda. It begins by explaining that serverless does not mean there are no servers, but rather code is executed when triggered by events. An example is given of a serverless API using API Gateway to trigger a Lambda function. The document outlines some key aspects of how serverless works with Lambda such as supported languages, logging to CloudWatch, and resource limits for Lambda functions. Overall limits are discussed and it is noted autoscaling can provide more resources when needed. The document concludes by mentioning potential use cases for serverless and posing questions.
Gilles will be sharing some of the experiences they faced first hand, how they resolved them and what they are looking to do differently in the future
* Presented at the Sydney AWS Meetup session 6th July 2016
http://www.meetup.com/AWS-Sydney/
Hosted and organised by PolarSeven - http://polarseven.com
Technical presentation around the challenges and technical concerns, you need to plan when you try to make the jump of using containers in a production environment with Amazon Elastic Container Service (ECS)
The document discusses using FME 2019 to help the FME Lizard find a new office location based on specific criteria. It then summarizes the key highlights of FME 2019 Desktop including improved performance, a dark mode, new transformers, readers/writers for additional formats, and the ability to more quickly obtain fixes and new features through FME packages. The document concludes by noting upcoming FME connectors and mobile app capabilities in FME 2019.
This document is Charles Qian's resume. It summarizes that he is a computer science student at Cornell University expected to graduate in May 2017 with a 3.72 GPA. It lists his relevant coursework, skills in programming languages and tools, experience as an intern and teaching assistant, and projects including open source contributions and hackathon projects. It also notes that he is currently president of his a cappella group.
Quarterly Technology Briefing, Manchester, UK September 2013Thoughtworks
This document summarizes a tech lab experiment conducted by ThoughtWorks to explore graph databases and cloud deployment. The team modeled Manchester's tram network as a graph database to understand its benefits. They iteratively improved the data and query models. The working app was deployed to AWS and automatically updated. The team successfully met the desired outcomes of the lab by gaining technical knowledge, producing a working demo, collateral materials, and excitement in the community. Next steps discussed expanding the work to clients and open sourcing parts of the project.
The author explains continuous integration to their parents by describing how they automated the provisioning of cloud infrastructure on Amazon Web Services (AWS) using configuration files, source control, and a Jenkins continuous integration system. The Jenkins project checks out configuration files from source control, manipulates them to deploy AWS resources like servers and databases, and allows developers to build test environments by clicking a green button, saving significant time compared to manual deployment.
How to build a SaaS solution in 60 daysBrett McLain
Brett McLain built a SaaS solution in 60 days using MeteorJS to manage remote devices that customers used to control things like vehicle starters and irrigation pumps remotely via SMS or phone calls. He chose MeteorJS because it provided an integrated full-stack framework with reactivity out of the box. Key features included authentication using accounts packages, managing user devices and commands in MongoDB, and integrating Twilio and Stripe for SMS/call functionality and payments. The final application allowed users to control devices, monitor usage, and subscribe to the service with a credit card through Stripe for a simple backend-free payment experience.
Lessons Learned Replatforming A Large Machine Learning Application To Apache ...Databricks
Morningstar’s Risk Model project is created by stitching together statistical and machine learning models to produce risk and performance metrics for millions of financial securities. Previously, we were running a single version of this application, but needed to expand it to allow for customizations based on client demand. With the goal of running hundreds of custom Risk Model runs at once at an output size of around 1TB of data each, we had a challenging technical problem on our hands! In this presentation, we’ll talk about the challenges we faced replatforming this application to Spark, how we solved them, and the benefits we saw.
Some things we’ll touch on include how we created customized models, the architecture of our machine learning application, how we maintain an audit trail of data transformations (for rigorous third party audits), and how we validate the input data our model takes in and output data our model produces. We want the attendees to walk away with some key ideas of what worked for us when productizing a large scale machine learning platform.
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.
IBM and Node.js - Old Doge, New TricksDejan Glozic
The document discusses IBM's transition from older enterprise stacks like Java and SQL to newer technologies like Node.js, NoSQL, and microservices. It describes motivations for the change like yearly release cycles, large teams, and running products on-premise. It then covers specifics of the transition, including moving from Dojo/Dijit to jQuery/Bootstrap on the client side, using Node.js and WebSockets for real-time updates, adopting a microservices architecture, switching from SQL to NoSQL databases, and addressing challenges that arise from the new approaches.
The Sanger Institute generates large amounts of genomic data and requires significant compute resources to analyze it. It has experimented with running its analysis pipelines in the cloud to expand capacity and markets. However, moving large datasets into the cloud and ensuring fast access to the data within cloud compute resources has proved challenging. While individual components like web services have worked well, the high performance computing workloads that rely on large-scale data access and processing have not scaled effectively due to data transfer bottlenecks and lack of high-performance filesystems in the cloud.
Building a system for machine and event-oriented data with RocanaTreasure Data, Inc.
In this session, we’ll follow the flow of data through an end-to-end system built to handle tens of terabytes an hour of event-oriented data, providing real-time streaming, in-memory, SQL, and batch access to this data. We’ll go into detail on how open source systems such as Hadoop, Kafka, Solr, and Impala/Hive can be stitched together to form the base platform; describe how and where to perform data transformation and aggregation; provide a simple and pragmatic way of managing event metadata; and talk about how applications built on top of this platform get access to data and extend its functionality. Finally, a brief demo of Rocana Ops, an application for large scale data center operations, will be given, along with an explanation about how it uses the underlying platform.
The document discusses optimizing performance for Ajax applications. It recommends:
- Keeping client-side code light by only requesting necessary data from the server via JSON messages.
- Avoiding unnecessary DOM touches and reflows which are computationally expensive.
- Measuring performance before and after optimizations to validate improvements rather than relying on intuition.
- Optimizing algorithms and avoiding unnecessary work rather than prematurely optimizing without evidence of need.
Scaling for Success: Lessons from handling peak loads on Azure with NServiceBusParticular Software
What happens when 200k users unexpectedly decide to use your platform simultaneously? We’re using autoscale on Azure PaaS so surely we can handle that, right? Wrong! Ask me how I found out… After going through a bit of trouble, I want to help you avoid the same mistakes I made.
Building a system for machine and event-oriented data - Data Day Seattle 2015Eric Sammer
The document discusses building a system for machine data and event-oriented data. It describes the speaker's background and company, Rocana, which builds systems to operate modern data centers. The system ingests over 100k events per second, provides low latency and full data retention, and is used for tasks like quality of service monitoring, fraud detection, and security. It models all data as timestamped events and uses Kafka, consumers, and SQL for aggregation to power analytics and searches. The summary discusses key aspects of the system's architecture, guarantees, data modeling, and analytics capabilities.
Slides from my last presentation at the Cape Town Meteor meetup, on optimising the UI, specifically for Hybrid apps and for Meteor JS hybrid apps.
The main thrust is really more about design patterns, and carefully controlling data management in your mobile app, with great examples of these patterns out in the real world.
see the mobile patterns video here : https://www.youtube.com/watch?v=e6WWX4TF3UI
How and why we evolved a legacy Java web application to Scala... and we are s...Katia Aresti
Applications get old, and technology moves fast. Overtime, adding or modifying functionalities might become as expensive as re-coding everything all from scratch. But rewriting a complete website and its functionalities it’s hard if we want to minimize the risks of breaking existing functionalities and specially when this application fits in a ecosystem and interacts with other pieces of software and teams.
In this session, you will learn how we moved from a legacy java monolithic website using scala PlayFramework, AngularJS, Elasticsearch and MongoDB, how we built a multi service and REST oriented architecture, which were the technical and human problems we encountered and how we managed to solved them.
Building a system for machine and event-oriented data - Velocity, Santa Clara...Eric Sammer
This talk was presented at O'Reilly's Velocity conference in Santa Clara, May 28 2015.
Abstract: http://velocityconf.com/devops-web-performance-2015/public/schedule/detail/42284
This document discusses the need for continuous delivery in software development. It defines continuous delivery as making sure software can be reliably released at any time. The document outlines some key aspects of continuous delivery including automated testing, infrastructure as code, continuous integration, and blue/green deployments. It provides an example of implementing continuous delivery for a large retail company using tools like Jenkins, Puppet, Logstash and practices like infrastructure as code and automated testing.
2017 Melbourne YOW! CTO Summit - Monolith to micro-services with CQRS & Event...Douglas English
These are the slides I presented at the Melbourne 2017 YOW! CTO Summit. The talk followed Culture Amp's steps and miss-steps on our journey to micro-services, and how we came to find CQRS and Event Sourcing fantastic tools.
Parallel and Asynchronous Programming - ITProDevConnections 2012 (Greek)Panagiotis Kanavos
This document discusses parallel and asynchronous programming using the Task Parallel Library (TPL) in .NET. It covers how processors are getting smaller so parallelism is important. It provides examples of using TPL for data parallelism by partitioning work over collections and task parallelism by breaking work into steps. It also discusses asynchronous programming with async/await and how TPL handles cancellation, progress reporting, and synchronization contexts.
The document discusses how to build real-time web applications. It emphasizes storing data client-side and pushing changes to clients in real-time using technologies like websockets to avoid slow AJAX calls. Examples are given of building an auto-complete search and news ticker in a real-time manner by initially loading all data and then querying client-side or pushing updates via websockets. The key is avoiding roundtrips to databases by doing work client-side and using fast databases like Redis that support publishing changes.
Tech for the Non Technical - Anatomy of an Application StackIntelligent_ly
Building technology is a practiced skill and indeed an art, but it's not magic. You hire craftsmen and you trust them with the details. But in order to command their respect and sleep well at night, you deserve to have a big-picture understanding of what they're building and why. A little knowledge will go a long way towards confidently leading your technical product team.
Postmortem of a uwp xaml application developmentDavid Catuhe
This document provides tips and tricks for developing Universal Windows Platform (UWP) applications using C# and XAML, including techniques for adapting the user interface for different devices, persisting navigation state, improving performance, debugging issues, and deploying apps to the Microsoft Store. Specific strategies covered include using a reflow technique to rearrange UI elements, serializing navigation history with a stack of objects, avoiding reliance on NavigationCache, using debug stopwatches and profiling tools, adding exception handling, and integrating AppInsights for analytics and crash reporting.
Parallel and Asynchronous Programming - ITProDevConnections 2012 (English)Panagiotis Kanavos
This document discusses parallel and asynchronous programming. It begins by explaining how processors are getting smaller while networks are getting worse, requiring more efficient parallel programming approaches. It then covers different parallel programming models in .NET like data parallelism using PLINQ, task parallelism using TPL, asynchronous programming with async/await, and concurrent collections. It also discusses challenges like cancellation, progress reporting, and synchronization, and how modern .NET addresses these.
How can one start with crypto wallet development.pptxlaravinson24
This presentation is a beginner-friendly guide to developing a crypto wallet from scratch. It covers essential concepts such as wallet types, blockchain integration, key management, and security best practices. Ideal for developers and tech enthusiasts looking to enter the world of Web3 and decentralized finance.
Solidworks Crack 2025 latest new + license codeaneelaramzan63
Copy & Paste On Google >>> https://dr-up-community.info/
The two main methods for installing standalone licenses of SOLIDWORKS are clean installation and parallel installation (the process is different ...
Disable your internet connection to prevent the software from performing online checks during installation
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
Download Wondershare Filmora Crack [2025] With Latesttahirabibi60507
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Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik
Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
Talk from SciFiDevCon 2025
https://www.scifidevcon.com/courses/2025-scifidevcon/contents/680efa43ae4f5
How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
Read More:- https://www.esofttools.com/nsf-to-pst-converter.html
Exploring Wayland: A Modern Display Server for the FutureICS
Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
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Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
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2. Me
• Mac & iOS ➡ React & Electron
• Run a small team doing React /
mobile dev, now working on
Mailspring.
• Led the team building Nylas
Mail from 2014–2016.
3. Nylas Mail ➡ Mailspring
• May 2017: Nylas API business booming—engineers
pulled from Nylas Mail to fight growth fires!
• Sept 2017: Nylas Mail officially sunset, re-licensed
under MIT. 🎉
Mailspring: Fix longstanding issues, use Pro version
revenue to run service and pay core contributors.
5. ☄
Complaints about Nylas Mail
• Long startup time
• High battery impact
• Uses too much RAM*
Electron
😡 😤🚀🔥
6. • Long startup time
• High battery impact
• Uses too much RAM*
👷(
Complaints about Nylas Mail
Electron
7. Reducing startup time
• Start loading a BrowserWindow as fast as possible
• Watch out for sync I/O in main process
• Use the ASAR format in production
• Load less JavaScript (on launch)
14. Devtron
• Easy to find heavy dependencies and see total JS
loaded.
• `request` is 910k of JS. Can you use Fetch APIs?
`bluebird` is 180k of JS. Can you use native Promise?
Nylas Mail
15. Devtron
Mailspring
• Easy to find heavy dependencies and see total JS
loaded.
• `request` is 910k of JS. Can you use Fetch APIs?
`bluebird` is 180k of JS. Can you use native Promise?
16. Devtron
• Some things you can’t avoid… but you can load
later. Who needs spellcheck in the first 500ms?
More UI Plugins SpellcheckerCore Window
Interactive in 1.0s
20. Reducing Energy Impact
• Check for animations / needless layout
• Minimize use of setTimeout, setInterval. Don’t
wake and perform work if you don’t need to.
• Attach an event listener to `blur` that toggles
a CSS class, use it to prevent animations.
23. setTimeout / setInterval
• Use smarter polling strategies:
• Change polling rate based on Electron
PowerMonitor state.
• Poll when important events occur (window
focus event) rather than all the time.
24. But… what if it’s not enough?
• Need to sync mail every few minutes,
sometimes this requires polling.
• Need to keep IDLE connections open
to mail providers.
• Need to keep streaming connection
open to Mailspring server.
👷(😭 😢
27. Enter C++
• Command line C++ processes replace the
background “work” window.
• Read actions on stdin, write JSON event
stream to stdout.
• Main window spawns these processes, binds to
their stdio streams, and re-broadcasts events.
28. C++ tradeoffs
• In JavaScript, control flow is hard.
(Promises, async/await, etc.)
• In C++, control flow is easy but memory is hard.
(Sync I/O on a few threads.)
• The SQLite bindings for C are incredibly fast.
• Shipping C++ cross-platform is hard.
29. C++ is kind of… pretty?
• The C++11 syntax is really elegant.
• Modern features like condition_variable allow
the sync engine to do almost no polling.
32. Takeaways
• Keep your dependencies light, use built-in APIs
when possible. Check require tree with Devtron!
• Use “Paint Flashing” to identify crippling CSS /
layout issues. Minimize timer use if possible.
• Combining Electron and C++ (or Haskell, or Go,
etc.) isn’t that crazy.