Distributed tracing is a very useful practice for Node.js because it gives you a good visibility over the way your async code executes and the lifecycle of your external calls as they travels between many services.
As hackers we love to understand how stuff works and how to optimize it. A very good tool to do both is software tracing. During the talk we'll see how tracing tools work and we'll zoom on one particular project called pyflame.
1. The document discusses using GitLab CI to automate software development tasks like testing, packaging, and deployment.
2. It provides examples of configuring GitLab CI pipelines to run tests, package code as gzip and ISO files, and deploy artifacts to S3 storage and GitLab pages.
3. The document also covers more advanced topics like using environments to separate staging and production, enabling manual deployment for production, and automatically deploying feature branches to separate review environments.
CapeDwarf is an open-source alternative to Google App Engine that allows applications written for GAE to run on WildFly Application Server without modification. It uses Infinispan to emulate Google's DataStore and the appengine-java-sdk along with Javassist to provide compatibility. CapeDwarf can be run on Linux by starting the WildFly server with specific parameters and configuration.
This document discusses how to break bad habits by using GitLab CI to automate routine tasks. It provides examples of automating tests, packaging code, and deploying artifacts and websites. Specifically, it shows how to:
1. Run automated tests with GitLab CI
2. Package code into downloadable artifacts
3. Deploy packages and websites to AWS S3 and GitLab Pages
4. Separate testing and production using environments
5. Allow multiple developers to work on the same project simultaneously
6. Avoid mistakes by not deploying directly to production
The document provides steps for setting up a new project using the RobotGaiaAnt framework including getting the code from GitHub, modifying configuration files, running Ant builds, adding dependencies, and debugging or running pages in the Flash Player or browser. It also mentions using Meta Launch for multiple test runs and compiling the project with Ant.
Github Actions enables you to create custom software development lifecycle workflows directly in your Github repository. These workflows are made out of different tasks so-called actions that can be run automatically on certain events.
The document discusses Andres Almiray, a Java developer since the beginning and Groovy committer since 2007. It provides an overview of the Groovy ecosystem, including frameworks like Grails and Griffon, libraries, tools, and publishing tools. Key frameworks and libraries mentioned include Grails, Griffon, Spock, GContracts. Tools include Gant, GMavenPlus, Geb, GroovyServ, LazyBones, and Crash. Publishing tools include JBake, Grain, and Gaiden.
Basic Docker workshop, Level 1 as in entry discussion about docker, docker general ideas, docker build commands, Dockerfiles and a few exercises.
This is a preparation workshop for the coming up Level2 Docker workshop.
We were kindly hosted by Office12 in Heraklion Crete.
GitLab is an opinionated and integrated set of tools based on convention over configuration that offers a superior user experience. It provides features like continuous integration, static site generation, issue tracking, code review and more. The document encourages using GitLab.com for free private repositories or self-hosting. Contributing to GitLab's open source project is also presented as a way to get feedback, build your resume and potentially get a job there. The architecture follows an MVC pattern with services and finders to power its functionality.
- Concourse is a open source CI/CD tool that allows building and testing projects in containers. It uses a pluggable resource interface to check for changes and run builds in isolated containers.
- While Concourse natively supports running builds in containers, it does not support running external services like databases that may be needed to test against.
- One solution is to use "Docker in Docker in Garden" (DCINDG), which runs a Docker daemon inside a Docker container managed by Concourse's Garden container runtime. This allows testing tasks to use Docker Compose to stand up external services in isolated containers.
- The presentation demonstrated this approach with a sample project on GitHub and discussed Concourse concepts like jobs, resources
GitHub Actions is a great addition to the GitHub toolchain, but what can you use them for beyond building the code in your GitHub repository?
In this session Morten Christensen (https://twitter.com/sitereactor), dive into what a GitHub Action actually is and how it can be used through examples and demos.
We will have a look at workflows related to Continuous Integration / Continuous Deployment and open source projects - and finally we will look at how you can extend your workflows with your own Actions.
By the end of this session you should have a good idea of how you can utilize GitHub Actions and Workflows to automate anything and everything related to your GitHub repository. So expect to see a lot of YAML :)
Everett Toews gave a presentation on Netflix's open source software projects on OpenStack at the OpenStack Summit on November 7, 2013. He discussed how Netflix's software is fault tolerant, highly available, and cloud native as it was primarily built for Amazon Web Services but is now being ported to OpenStack. Toews also shared several of Netflix's key open source projects and how other companies like PayPal, Transcend, and Rackspace utilize Netflix's open source software.
Apresentação feita no primeiro NSI Tech Talks - baseada na apresentação feita no 5º EDTED - RJ.
O tema é DVCS, Git e Github. A apresentação faz paralelos com SVN e Git, modelo centralizado e distribuído de versionamento e deixa um recado pros universitários sobre contribuição e software livre.
This document discusses using webhooks in Concourse pipelines to reduce API calls. It begins with an introduction and background on the author. It then provides an overview of Concourse architecture and the roles of the ATC, workers, and resources/jobs. Next, it explains how webhooks can be used resource-agnostically in Concourse by defining a webhook token. It describes how webhooks allow external services like GitHub to notify Concourse of changes instead of Concourse constantly checking. Finally, it mentions a demo, online resources, documentation, Slack community, and invites questions.
Андрій Шумада
developer at Ciklum
Доповідь про React та Redux. Розкажу що це, як і навіщо їх використовувати, а також про всю інфрастуктуру навколо них, включаючи react-router, react-redux, redux-thunk, redux-logger та інші.
Due to some design decision with ConcourseCI there is no sharing between JOB, so Object storage is a good way of achivig this. Minio is an OSS Object storage with a great coverage of S3 api.
This document provides an overview of several technologies: Git for version control, Python as a programming language, Django as a web framework built with Python, and Heroku as a platform for deploying Python/Django apps. It discusses basic Git commands and workflows. It also introduces Python concepts like shells, modules, and virtual environments. Django fundamentals like the MVT pattern and templates are covered. The document recommends Python 2.7 for Django projects and provides sample code.
This document contains a summary of updates to the Concourse continuous integration and delivery (CI/CD) platform between versions 1.2.0 through 2.0.0. Key updates include adding the ability to pin builds to specific resource versions in 1.2.0, introducing build and test workflows in a single pipeline in 1.3.0, improving container retention and build log loading in 1.4.0 and 1.5.0, adding official Docker images and AWS ECR support in 1.6.0, and integrating multi-tenant team support with authentication in 2.0.0. The presentation also provides demonstrations of Concourse in action and links to documentation, tutorials, public pipelines, and Slack
Meteor passed Impress.js to become the 10th most starred repository on GitHub in March. The document then discusses Meteor's key features like using JavaScript on both the client and server, its integration of MongoDB, support for mobile development with Cordova, and deployment to production. It provides instructions on installing Meteor, creating an app, and deploying to mobile or production environments.
This document summarizes the processes used by ActiveLAMP for code management, issue tracking, time tracking, deployment, and more. It recommends using Git for version control and GitHub for hosting code. It also recommends using Gitosis for version control, tracking time in Atrium, and deploying using Capistrano which installs as a Ruby gem and handles rollbacks. Drush is recommended for improving Drupal efficiency. Only custom code should be kept in a custom repository with the build process.
Github Action is the CI/CD tool made by Github. Deeply integrated with Github features, it can not only automate deployments, but also Githu.b repository management. In this sharing I will talk about how we use Github action in LikeCoin and some issues we encountered.
This document summarizes several tools for Python dependency management: pip-tools, Pipenv, poetry, and hatch. It discusses how each tool handles specifying dependencies, installing packages, creating reproducible environments, and publishing packages. While pip-tools and Pipenv focus on dependencies, poetry aims to be a single tool for all project tasks including building and publishing. Hatch simplifies the development workflow by wrapping multiple common tools. The document concludes that the best tool depends on whether a library or application is being built, and which fits the user's infrastructure.
Unlimited Staging Environments on KubernetesErik Osterman
How to run complete, disposable apps on Kubernetes for Staging and Development
What if you could rapidly spin up new environments in a matter of minutes entirely from scratch, triggered simply by the push of a button or automatically for every Pull Request or Branch. Would that be cool?
That’s what we thought too! Companies running complex microservices architectures need a better way to do QA, prototype new features & discuss changes. We want to show that there’s a simpler way to collaborate and it’s available today if you’re running Kubernetes.
Tune in to learn how you can assemble 100% Open Source components with a CodeFresh CI/CD Pipeline to deploy your full stack for any branch and expose it on a unique URL that you can share. Not only that, we ensure that it’s fully integrated with CI/CD so console expertise is not required to push updates. Empower designers and front-end developers to push code freely. Hand it over to your sales team so they can demo upcoming features for customers! The possibilities are truly unlimited. =)
The document discusses design patterns for scalable APIs based on Docker containers. It describes several common patterns including sidecar, ambassador, adapter, leader election, work queue, and scatter/gather. The patterns provide benefits like simplified problems, easy testing, resource isolation, and failure containment.
This document discusses Uber's growth and engineering challenges over time. It covers topics like Uber reaching 1 billion and 2 billion trips, microservices, tradeoffs between different programming languages, and tools used for building, deploying, and monitoring Uber's systems and services. The document also highlights advantages of various languages and technologies as well as Uber's open source projects that address common problems.
The document discusses Andres Almiray, a Java developer since the beginning and Groovy committer since 2007. It provides an overview of the Groovy ecosystem, including frameworks like Grails and Griffon, libraries, tools, and publishing tools. Key frameworks and libraries mentioned include Grails, Griffon, Spock, GContracts. Tools include Gant, GMavenPlus, Geb, GroovyServ, LazyBones, and Crash. Publishing tools include JBake, Grain, and Gaiden.
Basic Docker workshop, Level 1 as in entry discussion about docker, docker general ideas, docker build commands, Dockerfiles and a few exercises.
This is a preparation workshop for the coming up Level2 Docker workshop.
We were kindly hosted by Office12 in Heraklion Crete.
GitLab is an opinionated and integrated set of tools based on convention over configuration that offers a superior user experience. It provides features like continuous integration, static site generation, issue tracking, code review and more. The document encourages using GitLab.com for free private repositories or self-hosting. Contributing to GitLab's open source project is also presented as a way to get feedback, build your resume and potentially get a job there. The architecture follows an MVC pattern with services and finders to power its functionality.
- Concourse is a open source CI/CD tool that allows building and testing projects in containers. It uses a pluggable resource interface to check for changes and run builds in isolated containers.
- While Concourse natively supports running builds in containers, it does not support running external services like databases that may be needed to test against.
- One solution is to use "Docker in Docker in Garden" (DCINDG), which runs a Docker daemon inside a Docker container managed by Concourse's Garden container runtime. This allows testing tasks to use Docker Compose to stand up external services in isolated containers.
- The presentation demonstrated this approach with a sample project on GitHub and discussed Concourse concepts like jobs, resources
GitHub Actions is a great addition to the GitHub toolchain, but what can you use them for beyond building the code in your GitHub repository?
In this session Morten Christensen (https://twitter.com/sitereactor), dive into what a GitHub Action actually is and how it can be used through examples and demos.
We will have a look at workflows related to Continuous Integration / Continuous Deployment and open source projects - and finally we will look at how you can extend your workflows with your own Actions.
By the end of this session you should have a good idea of how you can utilize GitHub Actions and Workflows to automate anything and everything related to your GitHub repository. So expect to see a lot of YAML :)
Everett Toews gave a presentation on Netflix's open source software projects on OpenStack at the OpenStack Summit on November 7, 2013. He discussed how Netflix's software is fault tolerant, highly available, and cloud native as it was primarily built for Amazon Web Services but is now being ported to OpenStack. Toews also shared several of Netflix's key open source projects and how other companies like PayPal, Transcend, and Rackspace utilize Netflix's open source software.
Apresentação feita no primeiro NSI Tech Talks - baseada na apresentação feita no 5º EDTED - RJ.
O tema é DVCS, Git e Github. A apresentação faz paralelos com SVN e Git, modelo centralizado e distribuído de versionamento e deixa um recado pros universitários sobre contribuição e software livre.
This document discusses using webhooks in Concourse pipelines to reduce API calls. It begins with an introduction and background on the author. It then provides an overview of Concourse architecture and the roles of the ATC, workers, and resources/jobs. Next, it explains how webhooks can be used resource-agnostically in Concourse by defining a webhook token. It describes how webhooks allow external services like GitHub to notify Concourse of changes instead of Concourse constantly checking. Finally, it mentions a demo, online resources, documentation, Slack community, and invites questions.
Андрій Шумада
developer at Ciklum
Доповідь про React та Redux. Розкажу що це, як і навіщо їх використовувати, а також про всю інфрастуктуру навколо них, включаючи react-router, react-redux, redux-thunk, redux-logger та інші.
Due to some design decision with ConcourseCI there is no sharing between JOB, so Object storage is a good way of achivig this. Minio is an OSS Object storage with a great coverage of S3 api.
This document provides an overview of several technologies: Git for version control, Python as a programming language, Django as a web framework built with Python, and Heroku as a platform for deploying Python/Django apps. It discusses basic Git commands and workflows. It also introduces Python concepts like shells, modules, and virtual environments. Django fundamentals like the MVT pattern and templates are covered. The document recommends Python 2.7 for Django projects and provides sample code.
This document contains a summary of updates to the Concourse continuous integration and delivery (CI/CD) platform between versions 1.2.0 through 2.0.0. Key updates include adding the ability to pin builds to specific resource versions in 1.2.0, introducing build and test workflows in a single pipeline in 1.3.0, improving container retention and build log loading in 1.4.0 and 1.5.0, adding official Docker images and AWS ECR support in 1.6.0, and integrating multi-tenant team support with authentication in 2.0.0. The presentation also provides demonstrations of Concourse in action and links to documentation, tutorials, public pipelines, and Slack
Meteor passed Impress.js to become the 10th most starred repository on GitHub in March. The document then discusses Meteor's key features like using JavaScript on both the client and server, its integration of MongoDB, support for mobile development with Cordova, and deployment to production. It provides instructions on installing Meteor, creating an app, and deploying to mobile or production environments.
This document summarizes the processes used by ActiveLAMP for code management, issue tracking, time tracking, deployment, and more. It recommends using Git for version control and GitHub for hosting code. It also recommends using Gitosis for version control, tracking time in Atrium, and deploying using Capistrano which installs as a Ruby gem and handles rollbacks. Drush is recommended for improving Drupal efficiency. Only custom code should be kept in a custom repository with the build process.
Github Action is the CI/CD tool made by Github. Deeply integrated with Github features, it can not only automate deployments, but also Githu.b repository management. In this sharing I will talk about how we use Github action in LikeCoin and some issues we encountered.
This document summarizes several tools for Python dependency management: pip-tools, Pipenv, poetry, and hatch. It discusses how each tool handles specifying dependencies, installing packages, creating reproducible environments, and publishing packages. While pip-tools and Pipenv focus on dependencies, poetry aims to be a single tool for all project tasks including building and publishing. Hatch simplifies the development workflow by wrapping multiple common tools. The document concludes that the best tool depends on whether a library or application is being built, and which fits the user's infrastructure.
Unlimited Staging Environments on KubernetesErik Osterman
How to run complete, disposable apps on Kubernetes for Staging and Development
What if you could rapidly spin up new environments in a matter of minutes entirely from scratch, triggered simply by the push of a button or automatically for every Pull Request or Branch. Would that be cool?
That’s what we thought too! Companies running complex microservices architectures need a better way to do QA, prototype new features & discuss changes. We want to show that there’s a simpler way to collaborate and it’s available today if you’re running Kubernetes.
Tune in to learn how you can assemble 100% Open Source components with a CodeFresh CI/CD Pipeline to deploy your full stack for any branch and expose it on a unique URL that you can share. Not only that, we ensure that it’s fully integrated with CI/CD so console expertise is not required to push updates. Empower designers and front-end developers to push code freely. Hand it over to your sales team so they can demo upcoming features for customers! The possibilities are truly unlimited. =)
The document discusses design patterns for scalable APIs based on Docker containers. It describes several common patterns including sidecar, ambassador, adapter, leader election, work queue, and scatter/gather. The patterns provide benefits like simplified problems, easy testing, resource isolation, and failure containment.
This document discusses Uber's growth and engineering challenges over time. It covers topics like Uber reaching 1 billion and 2 billion trips, microservices, tradeoffs between different programming languages, and tools used for building, deploying, and monitoring Uber's systems and services. The document also highlights advantages of various languages and technologies as well as Uber's open source projects that address common problems.
Много често, когато искаме да станем по-добри backend програмисти се опитваме да научим различни езици за програмиране и съответните библиотеки. Проблема е че в Rails, Express.js, Django или Zend Framework има горе долу едни и същи концепции. Ако искаме да се научим как да пишем код за големи системи, които скалират добре и се справят сами с различни грешки и неочаквани ситуации, трябва да овладеем един друг дял от човешкото познание, който се нарича разпределени системи. В моята презентация ще видим защо трябва да задълбаем в тях и какви са основните принципи като консистентност(consistency), достъпност(availability) и издръжливост на разделения(partition tolerance). Също, ще разгледаме стъпки, които всеки може да направи за да научи повече по темата и да получава нови и актуални знания.
The microservice architecture approach has been very popular in the recent years. There is a big hype around it and a large swarm of open source tools to facilitate each aspect of this architecture. The purpose of this talk is to identify the main components of a microservice architecture. After that we compare different open source tools that fits into each area. At the end we’ll have a good understanding what a microservice architecture based on OSS looks like.
The document compares and summarizes the specifications of several smartphones including the iPhone 5, iPhone 4S, iPhone 3G, iPhone, Samsung Galaxy S3, Samsung Galaxy S, Blackberry Curve, and Blackberry Bold. Key details provided for each phone include screen size and resolution, thickness, weight, processor, storage, cameras and introduction date.
Flinderz is een online platform in wording. Op het platform kunnen mensen game-like een woonprofiel opbouwen. Hiermee vindt u zeer uiteenlopen aanbod, maar ook gelijkgestemden.
Wij willen meer mensen beter, sneller en vanuit hun wensen laten wonen. Op naar een vraaggestuurde woningmarkt! Geïnteresseerd naar onze verdere vorderingen? en wilt u met ons discussiëren over deze vorderingen? Meld u dan aan bij onze linkedin groep Flinderz.
Our staff consists of reliable, experienced, Real Estate Consultants qualified and qualified according to the needs of our customers, experts and architects with expertise from Architects, Construction Engineer, Map Engineer, City Planner, Shipbuilding Engineer, Agricultural Engineer, Engineer Finance Engineer and Economist.
Chelsea Burns conducted an inquiry project to determine which cereal stays crunchiest in milk the longest out of Frosted Flakes, Apple Jacks, Cocoa Krispies, Pops, and Froot Loops. She put each cereal in a separate bowl with milk and observed them over time. She found that Frosted Flakes became soggy the fastest while Pops stayed crunchiest the longest. Based on this, she concluded that "gun-puffed" cereals like Pops maintain crunchiness in milk longer than "oven-puffed" or cooked cereals like Frosted Flakes.
This document discusses OSHA regulations for fixed industrial stairs from 1910.25. It provides information on types of industrial stairs, applicable codes, load requirements, dimensions for treads, rises, and handrails. Stairs must be designed to carry five times the normal live load or a minimum of 1,000 pounds. Treads must be a minimum of 22 inches wide, slip-resistant, and have nosings. The angle of stairs must be between 30 and 50 degrees with uniform rise heights and tread widths. Handrails and guardrails are required on open and closed stairs. Platforms must be a minimum of 30 inches long and there must be 6 feet 8 inches of vertical clearance above stair treads.
Asses Impact of Financial Restructuring & Smart Grid Technology on Business Viability of Indian Discoms through Financial Modeling and Sensitivity analysis
Como entendemos la IV Revolución Industrial y los paradigmas que nos ha dejado la I Revolución Industrial. Cuál es nuestro rol ahora? Cómo tomamos conciencia de la importancia y la urgencia de enfrentar los nuevos desafíos?
Nikolaos Romanos has over 10 years of experience in sales and management roles in the IT services sector. He held interim support sales manager and account manager roles at Oracle Romania, gaining experience in achieving sales targets, managing teams, and developing customer relationships. Prior to this, he held production manager roles in logistics and wholesale companies, overseeing operations and fulfillment. Romanos has an MBA focused on SME logistics management and speaks Greek, English, Romanian, and basic French.
1. Arsenic, copper, and molybdenum are naturally occurring elements that can cause toxicity in high amounts. Arsenic poisoning results in gastrointestinal symptoms and skin lesions from acute or chronic exposure.
2. Copper is an essential nutrient but can be toxic in excess, causing issues like anemia, jaundice, and liver damage. Wilson's disease occurs when the body cannot metabolize copper properly.
3. The document discusses the molecular mechanisms of toxicity for each element, including how arsenic causes cardiovascular and neurological effects through oxidative stress and how copper induces hemolysis and liver injury.
As engineers, we like to solve problems by building solutions from scratch. Even though on some occasions it’s better to buy and integrate existing software. But how come? Are engineers who don’t always deliver from scratch real engineers? The goal of this talk is to answer all important questions about making build vs buy decisions. We’ll see how to define a clear strategy for making such decisions. And we’ll explore how to select and integrate existing software efficiently. Even if your company doesn’t have the habit of doing it.
This talk will help you build a better partnership with your eng manager in 3 ways. First, you’ll understand what your manager does all day. Second, you’ll learn how to manage up. And third, you’ll see that there isn’t a single person that can manage you perfectly and what you can do about it.
The document discusses the career path from software engineer to engineering manager. It begins by outlining the typical progression from senior software engineer to technical lead to engineering manager. It then lists and describes the many responsibilities of managers, including leadership, feedback, mentoring, communication, and people management. The rest of the document provides advice on preparing to become a manager, such as gaining technical skills, finding mentors, asking for feedback, and starting management practices early. It also outlines the typical paths from engineering manager to director, VP, and CTO roles with increasing levels of organizational leadership.
Good observability is essential for modern software. It gives us confidence that our systems are working properly. And it also allows us to debug issues efficiently. In this talk, we’ll explore everything you need to know to start applying good observability to your projects. And we’ll see the most common pitfalls you need to be aware of. We will start with the tools and basic concepts in monitoring. And we’ll go over the 3 most common mistakes people make with it. Then we’ll see how to have automatic alerts to detect issues. And, we’ll touch on the principles for setting up good alerts. As a final step, we’ll see how to build our logging system and how to apply it in the most efficient way to debug issues easily.
Building a modern Software as a Service platform brings a lot of interesting engineering challenges. During this talk, I’m going to share my team’s journey of building a SaaS from scratch in 2020. First, we are going to start with the technologies and the architecture we picked. Then, we’ll go over the interesting challenge of implementing multitenancy. And we'll see how we benchmarked three different options and picked one. And last but not least, we’ll explore how every startup can use open source technologies to build observability infrastructure. And how to run their SaaS in production.
Everything You Need to Know About NewSQL in 2020Nikolay Stoitsev
This document discusses NewSQL databases, which aim to provide the horizontal scalability of NoSQL databases with the ACID transactions of relational databases. It describes how NewSQL databases use techniques like consistent hashing, replication, and distributed transactions to achieve both scalability and transactions. Several examples of NewSQL databases are provided, including CockroachDB, Calvin, and NuoDB, as well as how they compare to traditional RDBMS and NoSQL databases.
3 lessons on effective communication for engineersNikolay Stoitsev
Effective communication is one of the most important skills we need. It greatly improves our productivity. And multiplies the positive impact that we have on the products we build and the people we work with. In this talk, we are going to explore three lessons on better communication. First, we’ll start with key principles for building trust and good relationships with the people around us. Then, we’ll see why and how to manage expectations. And we’ll explore how requirements facilitation can make our work easier. We are also going to see how to apply code reviews to our communication and scale it to amplify our impact. And most importantly, we’ll go over some real-world examples of how to apply these lessons in our everyday work to become better engineers.
ISTA 2019 - Migrating data-intensive microservices from Python to GoNikolay Stoitsev
In order for our systems to scale continuously and be resilient, they need to be constantly evolving. In this talk, I’m going to tell the store of how my team migrated a data-intensive microservice from Python to Go. First, we are going to start with the rationale behind the migration. Then we are going to go over the Python and Go tech stacks that we use. Last but not least, I’m also going to share our approach for migrating the service while running in production, adding new features and making sure there are no regressions.
The document discusses evolving microservice architectures at Uber. It describes Uber's transition from a monolithic architecture to over 4,000 microservices with over 1,000 deploys per day. Key challenges discussed include testing changes, integrating services, handling multiple environments, and establishing common platforms and data models to support new use cases and services. The presentation emphasizes establishing layered, abstracted architectures with clear separations of concerns to facilitate engineering velocity at scale.
The career path of software engineers and how to navigate itNikolay Stoitsev
During the talk, we explore the career path of a software engineer, what are the expectations at each level and how to acquire new skills to move between levels. We go over a way to decide on switching to management or staying on the individual contributor track. And we explore three strategies for continuous improvements.
Migrating a data intensive microservice from Python to GoNikolay Stoitsev
As Uber is hyper-growing as a company so does our need for scalable and resilient systems. In this talk, I’m going to tell the story of how my team migrated from Python to Go, a microservice that processes millions of events every day. First, we are going to start with the rationale behind the migration. Then we are going to go over the Python and Go tech stacks that we use. Last but not least, I’m also going to share our approach for migrating the service while running in production, adding new features and making sure there are no regressions.
In today’s world it’s no longer enough to build systems that process big volumes of information. We now need applications that can handle large continuous streams of data with very low latency so we can react to the ever-changing environment around us. To efficiently handle such problems we need to deploy a stream processing solution. During the talk we’ll explore one of the most popular frameworks for stream processing – Apache Flink. We’ll see what unique capabilities it provides and how they apply to some real world problems. And we’ll also explore how it works under the hood and how to get the scalable and fault-tolerant stream processing that Flink provides.
Apache Kafka sits at the core of the modern scalable event driven architecture. It’s no longer used only as logging infrastructure, but as a core component in thousands of companies around the world. It has the unique capability to provide low-latency, fault-tolerant pipeline at scale that is very important for today’s world of big data. During this talk we’ll see what makes Apache Kafka perfect for the job. We’ll explore how to optimize it for throughput or for durability. And we’ll also go over the messaging semantics it provides. Last but not least, we’ll see how Apache Kafka can help us solve some everyday problems that we face when we build large scale systems in an elegant way.
The database has always been one of the key components in every architecture. There is a great variety of tradeoffs we should consider and implementation that we can pick from. If we need consistency and correctness in exchange of availability and performance, we should pick a relational database. If we need scale and increased availability by sacrificing transactional and consistency guarantees, we should use a NoSQL database. And if we need both horizontal scalability and transactions, we need to pick a NewSQL database. During this talk we’ll explore what guarantees a NewSQL system provides. We’ll go over the different approaches in building such a system. And we’ll see some open source projects that implements each approach. At the end of the talk we’ll have a good understanding of when and how to apply a NewSQL database in our big scale applications.
This document provides an overview of how to read the source code for the V8 JavaScript engine. It recommends first looking in the ./src directory to find the parsing code and AST node definitions. It also advises reading the test files in ./test/webkit to better understand how specific JavaScript features are implemented. The document concludes by thanking sponsors.
The applications that we build for today's world have a lot of requirements. They need to provide the best user experience and to be always up and running. To achieve this in a massive scale you need a multi data center architecture. When we have more than one data centers, even if one of them goes down, the other can handle the traffic and your users will continue to use your application uninterrupted. Also by having datacenters in different locations around the world you can you take advantage of lower latencies and provide a better usability. But to take advantage of all those benefits you need to architect your application in a special way. During the talk we’ll explore the different multi data center configurations and the tradeoff of each one of them. We’ll also go over the ways to do failover and some useful processes to facilitate it better. Moreover, we’ll see how each layer of the application is affected by such architecture, all the way down to the database and the data model. Finally, I’ll share what technologies help Uber to run in multiple data centers and the lessons we learned by doing so.
As our systems grow, so does our software architecture complexity. As we scale and add more and more components, the interactions occurring between them become very complex and we start to lose visibility into the system. Traditional monitoring tools such as metrics and distributed logging still have their place, but they often fail to provide visibility across services. This is where distributed tracing thrives. During the talk we’ll explore what distributed tracing is, what open tools we can use to facilitate it and some lessons learned while implementing distributed tracing at Uber and how it helps us build big and impactful systems.
Reusable patterns for scalable APIs running on Docker @ Java2DaysNikolay Stoitsev
The shipping containers were introduced around 1830s and since then they play a crucial role in the modern society by providing efficient packaging, storage and transportation. Today we see the same revolution happening in the DevOps world with the adoption of container technologies like Docker. They allow us to package, distribute and run software in a scalable and efficient way. In this talk we’ll see how we can abstract the common problem we solve everyday when building scalable Java APIs with Docker into design patterns to create reusable solutions. We’ll explore the good practices of writing Java applications with Docker. Then we’ll see how each design pattern can be applied in real scenarios that address different concerns that a large system creates. We’ll see some real life implementations of those patterns and how they help us solve problems in scalable systems. By the end of the talk we’ll have a very powerful abstraction to tackle the everyday problems we face in building big and impactful systems.
In order to understand how to scale Node.js you need to know how the internals work together and what type of problems are best suited for it. With the right combination of tools you can easily have a scalable and reliable Node.js cluster.
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.
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.
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
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.
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
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DVDFab is a multimedia software suite primarily focused on DVD and Blu-ray disc processing. It offers tools for copying, ripping, creating, and editing DVDs and Blu-rays, as well as features for downloading videos from streaming sites. It also provides solutions for playing locally stored video files and converting audio and video formats.
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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.
Top 10 Data Cleansing Tools for 2025.pdfAffinityCore
Discover the top 10 data cleansing tools for 2025, designed to help businesses clean, transform, and enhance data accuracy. Improve decision-making and data quality with these powerful solutions.
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PDF Reader Pro is a software application, often referred to as an AI-powered PDF editor and converter, designed for viewing, editing, annotating, and managing PDF files. It supports various PDF functionalities like merging, splitting, converting, and protecting PDFs. Additionally, it can handle tasks such as creating fillable forms, adding digital signatures, and performing optical character recognition (OCR).
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
It's time you stopped letting your telemetry data pressure your budgets and get in the way of solving issues with agility! No more I say! Take back control of your telemetry data as we guide you through the open source project Fluent Bit. Learn how to manage your telemetry data from source to destination using the pipeline phases covering collection, parsing, aggregation, transformation, and forwarding from any source to any destination. Buckle up for a fun ride as you learn by exploring how telemetry pipelines work, how to set up your first pipeline, and exploring several common use cases that Fluent Bit helps solve. All this backed by a self-paced, hands-on workshop that attendees can pursue at home after this session (https://o11y-workshops.gitlab.io/workshop-fluentbit).
Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki
Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
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TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
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PRTG Network Monitor is a network monitoring software developed by Paessler that provides comprehensive monitoring of IT infrastructure, including servers, devices, applications, and network traffic. It helps identify bottlenecks, track performance, and troubleshoot issues across various network environments, both on-premises and in the cloud.