This document provides lessons for building SDKs in Go based on Dropbox's experience developing their Go SDK. It covers using a code generator to define APIs, avoiding surprises for users, making configuration simple, providing visibility through logging, handling unsupported types like unions and inherited types idiomatically in Go, avoiding authenticating in the SDK, auto-generating tests, and handling errors the Go way. The document recommends open source projects that exemplify these best practices and provides links to Dropbox's Go SDK and command line tool.
Integrating Splunk into your Spring ApplicationsDamien Dallimore
How much visibility do you really have into your Spring applications? How effectively are you capturing,harnessing and correlating the logs, metrics, & messages from your Spring applications that can be used to deliver this visibility ? What tools and techniques are you providing your Spring developers with to better create and utilize this mass of machine data ? In this session I'll answer these questions and show how Splunk can be used to not only provide historical and realtime visibility into your Spring applications , but also as a platform that developers can use to become more "devops effective" & easily create custom big data integrations and standalone solutions.I'll discuss and demonstrate many of Splunk's Java apps,frameworks and SDK and also cover the Spring Integration Adaptors for Splunk.
Parallel session on 'An Introduction to WAI-ARIA' given by Dan Jackson, City University at the Institutional Web Management Workshop 2009, University of Essex, 28 - 30 July 2009.
See http://iwmw.ukoln.ac.uk/iwmw2009/sessions/jackson/ and
http://lanyrd.com/2009/iwmw09/srfxk/
The domain model is an abstraction of the problem domain that your system supports. It contains the objects and operations that are crucial to your system and its users. Therefore the design of the domain model deserves the utmost care and attention. In this session you will be introduced to Domain-Driven Design and you will learn how to put Domain-Driven Design (DDD) into practice. We will explore how to apply DDD on tactical level to design a rich domain model that encapsulates behaviour, protects its invariants and can be tested in isolation from its runtime environment
En esta charla vamos hablar cerca de una estrategia de release llamada Blue-green deployment.
Cuales son sus vantages y custos que podremos tener y como eso se queda en practica.
Integrating Splunk into your Spring ApplicationsDamien Dallimore
How much visibility do you really have into your Spring applications? How effectively are you capturing,harnessing and correlating the logs, metrics, & messages from your Spring applications that can be used to deliver this visibility ? What tools and techniques are you providing your Spring developers with to better create and utilize this mass of machine data ? In this session I'll answer these questions and show how Splunk can be used to not only provide historical and realtime visibility into your Spring applications , but also as a platform that developers can use to become more "devops effective" & easily create custom big data integrations and standalone solutions.I'll discuss and demonstrate many of Splunk's Java apps,frameworks and SDK and also cover the Spring Integration Adaptors for Splunk.
Parallel session on 'An Introduction to WAI-ARIA' given by Dan Jackson, City University at the Institutional Web Management Workshop 2009, University of Essex, 28 - 30 July 2009.
See http://iwmw.ukoln.ac.uk/iwmw2009/sessions/jackson/ and
http://lanyrd.com/2009/iwmw09/srfxk/
The domain model is an abstraction of the problem domain that your system supports. It contains the objects and operations that are crucial to your system and its users. Therefore the design of the domain model deserves the utmost care and attention. In this session you will be introduced to Domain-Driven Design and you will learn how to put Domain-Driven Design (DDD) into practice. We will explore how to apply DDD on tactical level to design a rich domain model that encapsulates behaviour, protects its invariants and can be tested in isolation from its runtime environment
En esta charla vamos hablar cerca de una estrategia de release llamada Blue-green deployment.
Cuales son sus vantages y custos que podremos tener y como eso se queda en practica.
Domain Driven Design provides not only the strategic guidelines for decomposing a large system into microservices, but also offers the main tactical pattern that helps in decoupling microservices. The presentation will focus on the way domain events could be implemented using Kafka and the trade-offs between consistency and availability that are supported by Kafka.
https://youtu.be/P6IaxNcn-Ag?t=1466
10,000 microservices are generated each month using JHipster!
During this in-depth session by the two JHipster lead developers, we’ll detail:
How to develop and deploy microservices easily
Scalability and failover of microservices
The JHipster Registry for scaling, configuring and monitoring microservices
Common architecture patterns and pitfalls
codecentric AG: CQRS and Event Sourcing Applications with CassandraDataStax Academy
CQRS (Command Query Responsibility Segregation) is a pattern, which separates the process of querying and updating data. As a query only returns data without any side effects, a command is designed to change data. CQRS is often combined with Event Sourcing. This is an architecture in which all changes to an application state are stored as a sequence of events.
Because of its great capability to store time series data Cassandra is the perfect fit for implementing the event store. But there a still a lot of open questions: What about the data modeling? What techniques will be used to process and store data in the Cassandra database? How to access the current state of the application, without replaying every event? And what about failure handling?
In this talk, I will give a brief introduction to CQRS and the Event Sourcing pattern and will then answer the questions above using a real life example of a data store for customer data.
Slidedeck presented at http://devternity.com/ around MongoDB internals. We review the usage patterns of MongoDB, the different storage engines and persistency models as well has the definition of documents and general data structures.
Presentation of the paper "On Using JSON-LD to Create Evolvable RESTful Services" at the 3rd International Workshop on RESTful Design (WS-REST 2012) at WWW2012 in Lyon, France
Property graph vs. RDF Triplestore comparison in 2020Ontotext
This presentation goes all the way from intro "what graph databases are" to table comparing the RDF vs. PG plus two different diagrams presenting the market circa 2020
Three Pillars, Zero Answers: Rethinking ObservabilityDevOps.com
Observability has never been more important: the complexity of microservices makes it harder and harder to answer basic questions about system behavior. The conventional wisdom claims that Metrics, Logging and Tracing are “the three pillars” of observability… yet software organizations check these three boxes and are still grasping at straws during emergencies.
In this session, we’ll illustrate the problem with the three pillars: metrics, logs, and traces are just data – they are the fuel, not the car.
Apache Hive is a data warehousing system for large volumes of data stored in Hadoop. However, the data is useless unless you can use it to add value to your company. Hive provides a SQL-based query language that dramatically simplifies the process of querying your large data sets. That is especially important while your data scientists are developing and refining their queries to improve their understanding of the data. In many companies, such as Facebook, Hive accounts for a large percentage of the total MapReduce queries that are run on the system. Although Hive makes writing large data queries easier for the user, there are many performance traps for the unwary. Many of them are artifacts of the way Hive has evolved over the years and the requirement that the default behavior must be safe for all users. This talk will present examples of how Hive users have made mistakes that made their queries run much much longer than necessary. It will also present guidelines for how to get better performance for your queries and how to look at the query plan to understand what Hive is doing.
AWS makes development of cross-platform mobile applications easy. With highly-scalable cloud services such as Amazon S3, Amazon DynamoDB and Amazon SNS, mobile developers can build powerful cloud-backed mobile apps with just a few lines of code. In this session, you will learn how to connect directly to these services and how to build a powerful back end for your Android and iOS applications. We will also share some best practices from other successful apps such as Flipboard and Supercell so you can focus on differentiating your app functionality whilst leaving the 'table stakes' with no differentiated value to the cloud.
From capabilities to services modelling for business-it alignment v.2Trond Hjorteland
Our industry seems to go through cycles of re-discovery of lost knowledge with every new generation of developers, which probably is not so odd considering the exponential growth of practitioners. Allegedly half of the programmers today are juniors, which means many of them have yet to encounter the challenges faced decades ago. For example, many run the risk of falling into the trap of modelling services around domain entities, risking ending up with a distributed monolith with its devastating coupling, fragility, and cognitive nightmare. Lucky for us, we have shoulders to stand on to get us out of the quagmire, or even better, prevent us from getting on that slippery slope in the first place.
Being conscious of fallacies like those of distributed computing and anti-patterns like functional decomposition and entity services are all well and good, and necessary heuristics to good service design, but we often crave more concrete guidance. There are many great techniques to consider, like context mapping, user story mapping, event storming, and value chain analysis, but in this talk I will focus on the lost art of business capability modelling. My thesis is that a technique that was relevant in the pre-computing era might be just as useful and relevant when we split our monoliths into a mesh of autonomous (micro)services. Maybe they even could help us identify subdomains, contexts, and organisational structure; in effect the construction of sociotechnical systems?
This presentation walks through essential points for developing and working with REST APIs or web services to communicate through various platforms. This also explains HTTP methods.
Exchange and Consumption of Huge RDF DataMario Arias
Huge RDF datasets are currently exchanged on textual RDF formats, hence consumers need to post-process them using RDF stores for local consumption, such as indexing and SPARQL query. This results in a painful task requiring a great effort in terms of time and compu- tational resources. A first approach to lightweight data exchange is a compact (binary) RDF serialization format called HDT. In this paper, we show how to enhance the exchanged HDT with additional structures to support some basic forms of SPARQL query resolution without the need of "unpacking" the data. Experiments show that i) with an exchanging ef- ficiency that outperforms universal compression, ii) post-processing now becomes a fast process which iii) provides competitive query performance at consumption.
Go 1.10 Release Party, featuring what's new in Go 1.10 and a few deep dives into how Go works.
Presented at the PDX Go Meetup on April 24th, 2018.
https://www.meetup.com/PDX-Go/events/248938586/
Domain Driven Design provides not only the strategic guidelines for decomposing a large system into microservices, but also offers the main tactical pattern that helps in decoupling microservices. The presentation will focus on the way domain events could be implemented using Kafka and the trade-offs between consistency and availability that are supported by Kafka.
https://youtu.be/P6IaxNcn-Ag?t=1466
10,000 microservices are generated each month using JHipster!
During this in-depth session by the two JHipster lead developers, we’ll detail:
How to develop and deploy microservices easily
Scalability and failover of microservices
The JHipster Registry for scaling, configuring and monitoring microservices
Common architecture patterns and pitfalls
codecentric AG: CQRS and Event Sourcing Applications with CassandraDataStax Academy
CQRS (Command Query Responsibility Segregation) is a pattern, which separates the process of querying and updating data. As a query only returns data without any side effects, a command is designed to change data. CQRS is often combined with Event Sourcing. This is an architecture in which all changes to an application state are stored as a sequence of events.
Because of its great capability to store time series data Cassandra is the perfect fit for implementing the event store. But there a still a lot of open questions: What about the data modeling? What techniques will be used to process and store data in the Cassandra database? How to access the current state of the application, without replaying every event? And what about failure handling?
In this talk, I will give a brief introduction to CQRS and the Event Sourcing pattern and will then answer the questions above using a real life example of a data store for customer data.
Slidedeck presented at http://devternity.com/ around MongoDB internals. We review the usage patterns of MongoDB, the different storage engines and persistency models as well has the definition of documents and general data structures.
Presentation of the paper "On Using JSON-LD to Create Evolvable RESTful Services" at the 3rd International Workshop on RESTful Design (WS-REST 2012) at WWW2012 in Lyon, France
Property graph vs. RDF Triplestore comparison in 2020Ontotext
This presentation goes all the way from intro "what graph databases are" to table comparing the RDF vs. PG plus two different diagrams presenting the market circa 2020
Three Pillars, Zero Answers: Rethinking ObservabilityDevOps.com
Observability has never been more important: the complexity of microservices makes it harder and harder to answer basic questions about system behavior. The conventional wisdom claims that Metrics, Logging and Tracing are “the three pillars” of observability… yet software organizations check these three boxes and are still grasping at straws during emergencies.
In this session, we’ll illustrate the problem with the three pillars: metrics, logs, and traces are just data – they are the fuel, not the car.
Apache Hive is a data warehousing system for large volumes of data stored in Hadoop. However, the data is useless unless you can use it to add value to your company. Hive provides a SQL-based query language that dramatically simplifies the process of querying your large data sets. That is especially important while your data scientists are developing and refining their queries to improve their understanding of the data. In many companies, such as Facebook, Hive accounts for a large percentage of the total MapReduce queries that are run on the system. Although Hive makes writing large data queries easier for the user, there are many performance traps for the unwary. Many of them are artifacts of the way Hive has evolved over the years and the requirement that the default behavior must be safe for all users. This talk will present examples of how Hive users have made mistakes that made their queries run much much longer than necessary. It will also present guidelines for how to get better performance for your queries and how to look at the query plan to understand what Hive is doing.
AWS makes development of cross-platform mobile applications easy. With highly-scalable cloud services such as Amazon S3, Amazon DynamoDB and Amazon SNS, mobile developers can build powerful cloud-backed mobile apps with just a few lines of code. In this session, you will learn how to connect directly to these services and how to build a powerful back end for your Android and iOS applications. We will also share some best practices from other successful apps such as Flipboard and Supercell so you can focus on differentiating your app functionality whilst leaving the 'table stakes' with no differentiated value to the cloud.
From capabilities to services modelling for business-it alignment v.2Trond Hjorteland
Our industry seems to go through cycles of re-discovery of lost knowledge with every new generation of developers, which probably is not so odd considering the exponential growth of practitioners. Allegedly half of the programmers today are juniors, which means many of them have yet to encounter the challenges faced decades ago. For example, many run the risk of falling into the trap of modelling services around domain entities, risking ending up with a distributed monolith with its devastating coupling, fragility, and cognitive nightmare. Lucky for us, we have shoulders to stand on to get us out of the quagmire, or even better, prevent us from getting on that slippery slope in the first place.
Being conscious of fallacies like those of distributed computing and anti-patterns like functional decomposition and entity services are all well and good, and necessary heuristics to good service design, but we often crave more concrete guidance. There are many great techniques to consider, like context mapping, user story mapping, event storming, and value chain analysis, but in this talk I will focus on the lost art of business capability modelling. My thesis is that a technique that was relevant in the pre-computing era might be just as useful and relevant when we split our monoliths into a mesh of autonomous (micro)services. Maybe they even could help us identify subdomains, contexts, and organisational structure; in effect the construction of sociotechnical systems?
This presentation walks through essential points for developing and working with REST APIs or web services to communicate through various platforms. This also explains HTTP methods.
Exchange and Consumption of Huge RDF DataMario Arias
Huge RDF datasets are currently exchanged on textual RDF formats, hence consumers need to post-process them using RDF stores for local consumption, such as indexing and SPARQL query. This results in a painful task requiring a great effort in terms of time and compu- tational resources. A first approach to lightweight data exchange is a compact (binary) RDF serialization format called HDT. In this paper, we show how to enhance the exchanged HDT with additional structures to support some basic forms of SPARQL query resolution without the need of "unpacking" the data. Experiments show that i) with an exchanging ef- ficiency that outperforms universal compression, ii) post-processing now becomes a fast process which iii) provides competitive query performance at consumption.
Go 1.10 Release Party, featuring what's new in Go 1.10 and a few deep dives into how Go works.
Presented at the PDX Go Meetup on April 24th, 2018.
https://www.meetup.com/PDX-Go/events/248938586/
Getting started with go - Florin Patan - Codemotion Milan 2016Codemotion
This talk focuses on people which are interested the Go programming language and want to learn it. In it I will present the various resources new gophers have to learn Go, what are the usual pitfalls and how to get help when they are stuck.
Slides for a presentation given at the Go MN meetup https://www.meetup.com/golangmn/ given on 4/15/2020.
The associated code is available at https://github.com/andreburgaud/meetup-golang-lua. The topic is about the interoperability between Go and Lua, or Lua and Go.
Missing objects: ?. and ?? in JavaScript (BrazilJS 2018)Igalia
By Daniel Ehrenberg.
Slides at https://docs.google.com/presentation/d/1UOk7RlrCdFLs95OPQ-emm__oHD3n43zGyLsn0aGZWyI/edit#slide=id.p
JavaScript code frequently has to deal with missing values, but current mechanisms are repetitive or error-prone. Some are proposing that we change the JavaScript programming language, in a way inspired by other languages like Swift: the optional chaining and nullish coalescing operators.
We got a big upgrade to JavaScript with ES6, but TC39, the standards committee which defines the programming language, is still making improvements with this and other proposals. In this talk, I'll explain what kinds of things TC39 thinks about, how it goes about improving the programming language, and how you can participate to shape the future of JavaScript.
(c) BrazilJS 2018
24 e 25 de Agosto, Brazil
Daniel Steigerwald: EsteJS - javascriptové aplikace robusně, modulárně a komf...Develcz
Google je firma, která tvoří asi nejvíce webových aplikací a zaměstnává nejvíce webových vývojářů. Ti už mnoho let používají framework Google Closure. Este.js je framework nad Google Closure postavený, který už několik let používám k vývoji všech možných webových aplikací, ale také sada open source nástrojů, které se vám vyplatí znát a používat, i když vaše srdce tíhne k jQuery. Dozvíte se také, jak řídit závislosti a verze (package management), k čemu jsou dobré moduly, a jak mít maximálně automatizovaný a komfortní dev stack pro vývoj webových aplikací hodný roku 2013.
Open Source Development
Building your own Custom Firefox (or LibreOffice/OpenOffice)
from the Nightly or Developer Source Code
GIT / Mercurial (code sharing / version control)
What's new in HTML5 and JavaScript 2015
ECMAScript 2015 (ES6)
const, class, let, for of, function*, import
SF Grails - Ratpack - Compact Groovy Webapps - James WilliamsPhilip Stehlik
Slides for SF Grails meetup.
Ratpack, a micro web framework for Groovy, "inspired by the excellent Sinatra framework for Ruby, aims to make Groovy web development more classy."
We are happy to have James Williams (Co-Creator of Griffon) to be presenting!
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
4. ● Gophercon ‘17 Keynote by @tammybutow:
https://bit.ly/gophercon17dbx
● Dozens of Go services, many with millions of RPS!
● We open source at: https://github.com/dropbox
● We are hiring! dropbox.com/jobs or email me (diwaker@)
7. #1: Use a code generator
● Language-agnostic API definition (DSL, JSON,
YAML, etc), Language-specific generators
● Dropbox Stone (spec + generators)
○ https://github.com/dropbox/stone
● Google
○ JSON Spec https://developers.google.com/discovery/
○ Codegen
https://github.com/google/google-api-go-client/
● AWS Go SDK has a very similar setup
● OpenAPI: https://github.com/OAI/OpenAPI-Specification
9. #2: Avoid Surprises
● Principle of Least Surprise
● No external dependencies
○ Only standard library imports
● No vendored dependencies
● What you need is what you get
○ Scoped sub-packages for larger APIs (e.g. AWS)
○ Make it `go get` friendly
15. #5: Unions
Consider (in Stone):
union DeleteError
path_lookup LookupError
path_write WriteError
In JSON (note LookupError):
{
".tag": "path_lookup",
"path_lookup": {
".tag": "malformed_path",
"malformed_path": "/some/path"
}
}
Equivalent struct in Go
type DeleteError struct {
dropbox.Tagged
PathLookup *LookupError `json:"path_lookup"`
PathWrite *WriteError `json:"path_write"`
}
Problem: (de)serialization
16. func (u *DeleteError) UnmarshalJSON(body []byte)
error {
type wrap struct {
dropbox.Tagged
PathLookup json.RawMessage
PathWrite json.RawMessage
}
var w wrap
switch w.Tag {
case "path_lookup":
err = json.Unmarshal(w.PathLookup,
&u.PathLookup)
...
case "path_write":
err = json.Unmarshal(w.PathWrite,
&u.PathWrite)
...
}
#5: Unions
type DeleteError struct {
dropbox.Tagged
PathLookup *LookupError
`json:"path_lookup,omitempty"`
PathWrite *WriteError
`json:"path_write,omitempty"`
}
{
".tag": "path_lookup",
"path_lookup": {
".tag": "malformed_path",
"malformed_path": "/some/path"
}
}
17. #5: Inherited Types
In Stone
struct Metadata
// Common fields: Name, Path etc
union
file FileMetadata
folder FolderMetadata
Idiomatic Go: Embedding
type Metadata struct {
// Common fields
}
type FileMetadata struct {
Metadata
// FileMetadata specific fields
}
type FolderMetadata struct {
Metadata
// FolderMetadata specific fields
}
18. Solution: Use a dummy interface
type IsMetadata interface {
IsMetadata()
}
// Subtypes get this via embedding
func (u *Metadata) IsMetadata() {}
// Use IsMetadata where you need
// the union type
#5: Inherited Types
Problem: Polymorphism
func List(...) []Metadata
Can return FileMetadata or
FolderMetadata
19. Similar trick as Unions
type metadataUnion struct {
dropbox.Tagged
File *FileMetadata
Folder *FolderMetadata
}
func IsMetadataFromJSON(data []byte) (IsMetadata,
e) {
var t metadataUnion
if err := json.Unmarshal(data, &t); err !=
nil {
return nil, err
}
switch t.Tag {
...
}
}
#5: Inherited Types
Problem: (de)serialization
{
".tag": "file",
"name": "Prime_Numbers.txt",
"id": "id:a4ayc_80_OEAAAAAAAAAXw",
"content_hash": "e3b0c44298fc"
}
OR
{
".tag": "folder",
"name": "math",
"id": "id:a4ayc_80_OEAAAAAAAAAXz",
"path_lower": "/homework/math",
}
21. #6: Do NOT authenticate
● Apps authenticate, SDK accepts OAuth Token
● Beware of known OAuth pitfalls
○ Changed OAuth Endpoint from api.dropbox.com to
api.dropboxapi.com
○ App started failing with oauth2: cannot fetch token:
400 Bad Request
○ Gem from oauth2/internal/token.go
○ func RegisterBrokenAuthHeaderProvider(tokenURL string)
○ Google, Stripe and yes, Dropbox are “broken”
● More information:
○ On debugging OAuth2 in #golang
23. #7: Auto Generate Tests
● Tests should be
comprehensive and
up-to-date
● Dropbox SDK is NOT a
good example!
● Model after AWS SDK
○ Example input/output
defined in JSON
○ Tests are auto-generated
● Not a panacea, still
need to write tests!
○ Especially negative tests
25. #8: Handle errors the Go way
Dropbox SDK
res, err := dbx.ListFolder(arg)
if err != nil {
switch e := err.(type) {
case files.ListFolderAPIError:
...
AWS SDK
output, err := s3manage.Upload(...)
if err != nil {
if reqerr, ok := err.(RequestFailure);
ok {
...
● Have SDK errors implement the `error` interface
● Use type assertions to extract errors
● Good packages exist for combining / unrolling errors --
wish stdlib had more support!
26. Lessons Recap
1. Use a Code Generator
2. Avoid Surprises
3. Make Configuration Simple
4. Provide Visibility
5. Use Go Idioms for Unsupported Types
6. Do Not Authenticate
7. Auto Generate Tests
8. Handle Errors the Go Way
27. Where to get it?
● SDK:https://github.com/dropbox/dropbox-sdk-go-unofficial
● dbxcli: https://github.com/dropbox/dbxcli/
○ Command line tool for Dropbox
○ Pre-compiled binaries for Windows, Mac, Linux, ARM
○ Useful for end users as well as team administrators
● Support for Dropbox Paper coming soon!
○ https://www.dropbox.com/paper