Testable JavaScript Strategies
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A holistic approach in doing tests in JavaScript. Techniques and strategies discussed are useful for organizations and teams that are doing backend development in JavaScript.
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In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
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.
OpenMetadata Community Meeting - 5th June 2024
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Quarkus Hidden and Forbidden Extensions
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.
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Graspan: A Big Data System for Big Code Analysis
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
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https://2024.springio.net/sessions/automated-software-refactoring-with-openrewrite-and-generative-ai/
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
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Testable JavaScript Strategies
- 1. J AVA S C R I P T T E S T I N G S T R AT E G I E S D I WA D E L M U N D O , V O YA G E R I N N O VA T I O N S M A N I L A . J S F R I D A Y S M E E T U P A P R I L 8 , 2 0 1 5 A - S PA C E , M A K A T I , P H I L I P P I N E S
- 2. S H O R T B A C K G R O U N D A B O U T M E • Almost a decade of software dev experience • Work exp local startups (LPI, self) and Singapore (Viki) • Ruby on Rails, JavaScript, Linux, AWS • CISSP, AWS Certified SA, CPISI (PCI-DSS)
- 3. T E S T I N G S P E C T R U M UNIT INTEGRATION END-TO-END functions, modules components, API tests UI, application
- 4. 3 S T R AT E G I E S F O R T E S T I N G • Enforce code standards • Cultivate “testing” mindset • Use good tools
- 5. 1 . E N F O R C E C O D E S TA N D A R D S • Code guideline (syntax) • Code review • Standard for managing continuation-passing style (CPS)
- 6. C O D E G U I D E L I N E • Be particular about syntax (bracing, spacing, etc) • Document, e.g. “CodeGuidelines.md” • Project code should look like it was written by 1 person Image From https://github.com/airbnb/javascript
- 7. C O D E R E V I E W S • Find faults, issues, etc • Review code quality (plato) • Test coverage (istanbul)
- 8. npm install plato -g
- 9. npm install istanbul -g
- 10. Have a standard for continuation passing style (CPS)
- 11. O P T I O N S F O R C P S NAMED STYLE Promises ES6: Generators Libraries like async, synchronize, fibers
- 12. A S Y N C + N A M E D F U N C T I O N S F O R C E S D E V E L O P E R T O W R I T E U N I T- T E S TA B L E C O D E M Y P R E F E R R E D S T Y L E “ S H AW D O W O B J E C T S ”
- 13. 2 . C U LT I VAT E T E S T I N G M I N D S E T • Write tests. Try to do full testing spectrum • Have discussions on how to test • Think outside box
- 14. H O W D O Y O U T E S T T H I S ?
- 16. 3. Good Tools
- 17. T E S T F R A M E W O R K : M O C H A A S S E RT I O N S T Y L E : C H A I T E S T D O U B L E S : S I N O N C O D E Q U A L I T Y: P L AT O T E S T C O V E R A G E : I S TA N B U L R E Q U E S T R E C O R D E R : N O C K E N D - T O - E N D : K A R M A
- 18. TA K E A WAY • ENFORCE CODE STANDARDS • CULTIVATE TESTING MINDSET • USE GOOD TOOLS • Rule of thumb: test to minimise problems, not test for the sake of testing