Agile when not in charge
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So you're on a team that is doing something other than agile methods. But you want to experiment and/or use some agile practices such as WIP limits, TDD, and relative estimation. Here's one approach to that sticky issue.
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Q101 dua not accept...
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Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
DDS-Security 1.2 - What's New? Stronger security for long-running systems
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
What is Augmented Reality Image Tracking
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
Launch Your Streaming Platforms in Minutes
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
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Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
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
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
Presentation from Ghazal Aakel and Eric Jochum at the GSD Community Stage Meetup on June 6th, 2024
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.
Hand Rolled Applicative User Validation Code Kata
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
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Agile when not in charge
- 1. AGILE EGYPT • 11-12: AGILE FOR LEAN BUSINESS – MAHMOUD FAWZY • 11:00 – 11:30 : SOCIALIZE AND ENJOY SNACKS • 11:30 – 12:00 : PRESENTATION • 12-1: LEADING POSITIVE CHANGE WITHOUT AUTHORITY – AMR ELSSAMADISY • 1-2: ROUND TABLE CONVERSATION REGARDING BOTH PRESENTATIONS
- 2. LEADING POSITIVE CHANGE WITHOUT AUTHORITY
- 3. PRACTICING AGILE (WHEN YOU ARE NOT IN CHARGE)
- 4. THE PROBLEM • YOU ARE INTERESTED IN DOING AGILE METHODS BUT: • YOU CAN ONLY DECIDE FOR YOURSELF, NOT FOR OTHERS • YOUR TEAM IS DOING SOMETHING ELSE • YOU FEEL AGILE IS NOT APPLICABLE BECAUSE EVERYTHING IS TEAM-BASED • WHAT ELSE?
- 5. WHY DOES AGILE WORK? • THOUGHT EXPERIMENT
- 6. LEARNING IS THE BOTTLENECK • CAN WE ACCELERATE OUR LEARNING WITHOUT THE REST OF THE TEAM? • TEAM PRACTICES? (KANBAN, SCRUM, RELATIVE ESTIMATION, ETC…) • TECHNICAL PRACTICES? (TDD, REFACTORING, ETC…) • PERSONAL AGILITY? (WHAT IS THIS ANYWAY?)
- 7. TEAM PRACTICES • ITERATIONS • WORK IN PROGRESS LIMITS • TRANSPARENCY • DELIVERING CUSTOMER VALUE INSTEAD OF COMPONENTS • SEEKING CUSTOMER FEEDBACK • WHAT ELSE?
- 8. TECHNICAL PRACTICES • TEST DRIVEN DEVELOPMENT • REFACTORING • CONTINUOUS INTEGRATION • BEHAVIOR DRIVEN DEVELOPMENT • EVOLUTIONARY DESIGN • WHAT ELSE?
- 9. PERSONAL AGILITY • NOT AS WELL KNOWN, BUT EXTREMELY IMPORTANT • SAFETY • RESPECT • OWNERSHIP • NEGOTIATING AGREEMENTS TO BUILD TRUST • WHAT ELSE?
- 10. EXAMPLE: WIP LIMITS • WORK IN PROGRESS LIMITS • PERSONAL KANBAN • CAN YOU ACCEPT MULTIPLE THINGS BUT ONLY WORK ON ONE AT A TIME?
- 11. EXAMPLE: TDD • CAN YOU PRACTICE TDD ALONE? • WHAT ARE THE DANGERS? • HOW CAN YOU AVOID THEM? • IS IT WORTH IT?
- 12. EXAMPLE: BDD • HOW CAN YOU PRACTICE BDD WITHOUT THE TEAM? • WHAT EXTRA DO YOU NEED TO DO? • WHAT IS THE BENEFIT? • WHAT ARE THE DANGERS?
- 13. PERSONAL AGILITY • CAN YOU MAKE/KEEP/RENEGOTIATE AGREEMENTS ALONE? • ARE THERE ANY DOWNSIDES? • WHAT ARE THE ADVANTAGES?
- 14. WHAT CAN’T YOU PRACTICE ALONE? • WHAT PRACTICES TOTALLY FAIL IF YOU DO THEM INDEPENDENTLY? • WHY?
- 15. PATTERN • UNDERSTAND THE BENEFITS OF ANY PRACTICE THROUGH THE LENS OF ACCELERATED LEARNING • CAN YOU LEARN FROM THIS PRACTICE ALONE? • IF NOT, IS THERE A WAY THAT YOU CAN INFORMALLY WORK TO GET COOPERATION FROM INDIVIDUALS?
- 16. ADOPTION ADVICE • TAKE ONE PRACTICE AT A TIME • CONDUCT AN EXPERIMENT WITH A HYPOTHESIS • TEST THAT HYPOTHESIS AND ITERATE • MUCH OF THE DIFFICULTY YOU WILL FACE IS BUILDING A HABIT (HTTP://TINYHABITS.COM/ ) • ONLY TAKE A NEW PRACTICE AFTER ANOTHER PRACTICE IS COMPLETE OR DISCARDED
- 17. CONCLUSION • MOST PRACTICES CAN BE DONE INDIVIDUALLY • FOCUS ON YOUR LEARNING WHICH DIRECTLY ENABLES YOUR PROGRESS • TAKE ONE PRACTICE AT A TIME