Future of Product Development Tools

•

1 j'aime•388 vues

Presentation from Lasse Mikkonen in Tulevaisuuden Tuotekehitys 2015 (Future of Product Development) in Helsinki. How the agile and ALM tools will evolve in the near future. Are the microservices the next things or full integrated platforms.

Logiciels

Twitter: #TuTe
Future of product
development,
ALM tools

Agenda
»Drivers and trends for Tool evolution
»Lean SW as source for Tool trends
»Recent experiences
»Process control
»Architecture
»Cloud aspects

Amplify LearningBuild Quality In
See the WholeEmpower the
Team
Deliver FastDecide as Late as
Possible
Remove Waste
7
Lean SW
Principles

Lean SW
Remove Waste
Build Quality In
Amplify Learning
Decide as Late as Possible
Deliver Fast
Empower the Team
See the whole
Recent tool development regarding
Lean SW
Scaling Agile, SAFe
Portfolio Management
Reporting and Dashboards
DevOps integrations and
automation
Embedded and instant
messaging

What consultants do in tool projects,
is often implement ‘missing features’ of the tools
DevOps
Automation & integrations
Integrating
CM & Backlog
Tools
Scripting builds,
testing and delivery
Hybrid clouds COS
Metrics and reports
KPI
metrics
SW BI,
Combining
Data of
different CoPs
Visibility and Sharing
of Knowledge
Knowledge
Creation
Search
and Browse
Generic Business
Processes with ALM tools

Twitter: #TuTe
Other trends:
Process Control

Historical level of Control in ALM tools
0
50
100
150
200
250
rcs era CVS, PVCS ClearCase.
Continuus
Bugzilla, Synergy
CM, Perforce
Free GIT, Team
Backlog Tools
controlled git,
Cloud tools
Early 1990's Late 1990's Early 2000 Late 2000's Early 2010's Late 2010's
Majority of new Tool Roll-Outs
Version Control Bug tracking / Change Mgt
LevelofControl

From Process Control to Process Awareness
Push comms
Big Data approachs

Twitter: #TuTe
Yet other trends:
Interoperability

Architecture of the tools
Microservices
Multipurpose systems
Single VendorEcosystems
Openness
and good
Interfaces

Development Cloud
Build capacity
Automated Testing
The Cloud
ALM tools in
Cloud
- SaaS offering

Summary: Where the Tools are going?
1. Towards Lean SW
2. Towards Cloud and Open APIs
3. Process control towards Process alerts

Contenu connexe

Plus de Contribyte

Enabling the agile benefit in organisation level - shortened version

Contribyte

Confluence Comala Workflow

Contribyte

Contribyte Tarjonta

Contribyte

Lean Portfolio Management DevOps Helsinki

Contribyte

Millainen it arkkitehtuuri tukisi hajaantuneen tuotetiedon näkyvyyttä paremmin

Contribyte

Tuotetieto organisaation tiedon keskiössä – käytännön ratkaisuja

Contribyte

Tuotetieto organisaation tiedon keskiössä

Contribyte

Product information in organizations practical solutions

Contribyte

Plus de Contribyte (8)

Enabling the agile benefit in organisation level - shortened version

Confluence Comala Workflow

Contribyte Tarjonta

Lean Portfolio Management DevOps Helsinki

Millainen it arkkitehtuuri tukisi hajaantuneen tuotetiedon näkyvyyttä paremmin

Tuotetieto organisaation tiedon keskiössä – käytännön ratkaisuja

Tuotetieto organisaation tiedon keskiössä

Product information in organizations practical solutions

Dernier

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Junchen Jiang (Assistant Professor of Computer Science, @University of Chicago) Prefill in LLM inference is known to be resource-intensive, especially for long LLM inputs. While better scheduling can mitigate prefill’s impact, it would be fundamentally better to avoid (most of) prefill. This talk introduces our preliminary effort towards drastically minimizing prefill delay for LLM inputs that naturally reuse text chunks, such as in retrieval-augmented generation. While keeping the KV cache of all text chunks in memory is difficult, we show that it is possible to store them on cheaper yet slower storage. By improving the loading process of the reused KV caches, we can still significantly speed up prefill delay while maintaining the same generation quality.

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

Alluxio, Inc.

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Lu Qiu (Data & AI Platform Tech Lead, @Alluxio) - Siyuan Sheng (Senior Software Engineer, @Alluxio) Speed and efficiency are two requirements for the underlying infrastructure for machine learning model development. Data access can bottleneck end-to-end machine learning pipelines as training data volume grows and when large model files are more commonly used for serving. For instance, data loading can constitute nearly 80% of the total model training time, resulting in less than 30% GPU utilization. Also, loading large model files for deployment to production can be slow because of slow network or storage read operations. These challenges are prevalent when using popular frameworks like PyTorch, Ray, or HuggingFace, paired with cloud object storage solutions like S3 or GCS, or downloading models from the HuggingFace model hub. In this presentation, Lu and Siyuan will offer comprehensive insights into improving speed and GPU utilization for model training and serving. You will learn: - The data loading challenges hindering GPU utilization - The reference architecture for running PyTorch and Ray jobs while reading data from S3, with benchmark results of training ResNet50 and BERT - Real-world examples of boosting model performance and GPU utilization through optimized data access

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

Alluxio, Inc.

Microsoft 365 Copilot is available to Enterprise customers and smaller organizations from January 16, 2024. It goes for the price set at $30 per user/month across all purchasing channels and customer types. Microsoft 365 Copilot gives users experiences allowing for the composition and replying of emails, chats, documents, contacts, and meeting minutes.    Microsoft 365 Copilot is available across all sales channels including Enterprise Agreement and Cloud Solution Provider (CSP).  Also, for commercial customers with:   • Microsoft 365 E3  • Microsoft 365 E5  • Office 365 E3  • Office 365 E5  • Microsoft 365 Business Standard  • Microsoft 365 Business Premium  They will be able to purchase Copilot for Microsoft 365 add-on SKU across all Microsoft sales channels. See below the full list of the Microsoft sales channels for Copilot:  • Enterprise Agreement  • Enterprise Agreement Subscription  • Cloud Solution Provider (CSP)  • Microsoft Customer Agreement – Enterprise (MCA-E)  • Direct from Microsoft  • Education customers through Enrollment for Education Solutions  You can reach out to our team of Microsoft licensing experts concerning any on-premises or cloud related questions seeking for clarity. Send us an email…info@q-advise.com

Microsoft 365 Copilot; An AI tool changing the world of work _PDF.pdf

Q-Advise

Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload. Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.

Designing for Privacy in Amazon Web Services

KrzysztofKkol1

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

Victor Lopez

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Abortion Clinic

Scenarios are the central artifact of the Behaviour Driven Development (BDD) process. Although many teams use scenarios and tools like Cucumber or SpecFlow to automate them, in many cases their scenarios contain a lot of details, particularly test data, and therefore they become too complicated to support collaboration with the business. The "essential" principle of scenario writing (scenario formulation) states that only those details should be included in the scenario that are relevant for the outcome. This talk provides help for those who struggle implementing this principle or would be interested to learn how you can create brief and maintainable scenarios.

Tree in the Forest - Managing Details in BDD Scenarios (live2test 2024)

Gáspár Nagy

Workforce Efficiency with Employee Time Tracking Software.pdf

DeskTrack

Breaking the Code : A Guide to WhatsApp Business API.pdf

Meon Technology

GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product Updates

Neo4j

How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?

XfilesPro

Advanced Flow Concepts Every Developer Should Know

Peter Caitens

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Eric Wang (Software Engineer, @Uber) Uber has numerous deep learning models, most of which are highly complex with many layers and a vast number of features. Understanding how these models work is challenging and demands significant resources to experiment with various training algorithms and feature sets. With ML explainability, the ML team aims to bring transparency to these models, helping to clarify their predictions and behavior. This transparency also assists the operations and legal teams in explaining the reasons behind specific prediction outcomes. In this talk, Eric Wang will discuss the methods Uber used for explaining deep learning models and how we integrated these methods into the Uber AI Michelangelo ecosystem to support offline explaining.

AI/ML Infra Meetup | ML explainability in Michelangelo

Alluxio, Inc.

AI/ML Infra Meetup | Perspective on Deep Learning Framework

Alluxio, Inc.

How to install and activate eGrabber JobGrabber

eGrabber

This is a classic migration case study (the past, current and the future) at scale from a world-wide company transitioning from Confluent Platform and Confluent Cloud to self-managed Apache Kafka on Kubernetes using Strimzi. At Maersk, we have been architecting, designing and implementing our 3rd generation Event Streaming Platform. This platform is based on Kubernetes in Azure and using Strimzi to operate Apache Kafka at large scale, highly reliable, segregating data based on isolated use cases. Our 2nd generation was based on OnPrem Confluent Platform and Confluent Cloud and this presentation is the story of this migration and reasoning behind it. Furthermore, we would get into details on how we monitor (Grafana, Prometheus), alert (GoAlert and alert as code), operate and provide self-service solutions on top of Strimzi to enable business critical application in Maersk, implemented in GoLang using the GitOps deployment model with Flux and Kustomization among others. Finally, if time allows we will end with a demo of an open-source self service tool to monitor and explore the cluster with most wanted features such as topic message browsing and configuring and restarting connectors.

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi

steffenkarlsson2

The Impact of PLM Software on Fashion Production

Wave PLM

How to download files safely from the internet ? Source: <a href="https://www.downloadsafely.com/">Download Safely</a> -Welcome to Secure Downloading&Surfing. Learn how to safely download files and protect your data while browsing the web. Let's dive into the world of secure surfing! Understanding the Risks Discover the potential threats associated with downloading files from the internet and the impact of malicious software on your device.

how-to-download-files-safely-from-the-internet.pdf

Mehmet Akar

Secure Software Ecosystem Teqnation 2024

Soroosh Khodami

"Introduction to Windows 7" serves as the foundational chapter in our guide, setting the stage for understanding the key features and functionalities of this operating system. Windows 7, released by Microsoft in 2009, quickly became one of the most popular and widely used versions of Windows due to its user-friendly interface, stability, and performance improvements over its predecessor, Windows Vista. This chapter begins by providing an overview of the Windows 7 operating system, highlighting its key attributes and improvements compared to earlier versions of Windows. It introduces users to the visual enhancements such as Aero Glass, the revamped taskbar (also known as the Superbar), and the redesigned Start menu, which all contribute to a more intuitive and streamlined user experience. Furthermore, "Introduction to Windows 7" delves into the architecture and system requirements of the operating system, helping users understand what hardware specifications are necessary for optimal performance. It covers topics such as processor requirements, RAM, disk space, and graphics capabilities, ensuring that readers have a clear 3 understanding of the hardware prerequisites for running Windows 7 smoothly. Additionally, this chapter explores the various editions of Windows 7, including Home Premium, Professional, Ultimate, and Enterprise, outlining the differences between them and helping users choose the edition that best suits their needs and requirements. Moreover, "Introduction to Windows 7" provides an overview of the installation process, guiding users through the steps required to install or upgrade to Windows 7 on their computers. It covers topics such as preparing for installation, choosing the installation type (upgrade or custom), partitioning disks, and configuring initial settings. In summary, "Introduction to Windows 7" serves as a comprehensive primer for users who are new to the operating system or seeking to refresh their understanding. By familiarizing themselves with the core concepts and features of Windows 7, readers can lay a solid foundation for exploring more advanced topics covered in subsequent chapters of this guide.

Mastering Windows 7 A Comprehensive Guide for Power Users .pdf

mbmh111980

Dernier (20)

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

Microsoft 365 Copilot; An AI tool changing the world of work _PDF.pdf

Designing for Privacy in Amazon Web Services

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Tree in the Forest - Managing Details in BDD Scenarios (live2test 2024)

Workforce Efficiency with Employee Time Tracking Software.pdf

Breaking the Code : A Guide to WhatsApp Business API.pdf

GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product Updates

How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?

Advanced Flow Concepts Every Developer Should Know

AI/ML Infra Meetup | ML explainability in Michelangelo

AI/ML Infra Meetup | Perspective on Deep Learning Framework

How to install and activate eGrabber JobGrabber

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi

The Impact of PLM Software on Fashion Production

how-to-download-files-safely-from-the-internet.pdf

Secure Software Ecosystem Teqnation 2024

Mastering Windows 7 A Comprehensive Guide for Power Users .pdf

Future of Product Development Tools

1. Twitter: #TuTe Future of product development, ALM tools

2. Agenda »Drivers and trends for Tool evolution »Lean SW as source for Tool trends »Recent experiences »Process control »Architecture »Cloud aspects

3. Amplify LearningBuild Quality In See the WholeEmpower the Team Deliver FastDecide as Late as Possible Remove Waste 7 Lean SW Principles

4. Lean SW Remove Waste Build Quality In Amplify Learning Decide as Late as Possible Deliver Fast Empower the Team See the whole Recent tool development regarding Lean SW Scaling Agile, SAFe Portfolio Management Reporting and Dashboards DevOps integrations and automation Embedded and instant messaging

5. What consultants do in tool projects, is often implement ‘missing features’ of the tools DevOps Automation & integrations Integrating CM & Backlog Tools Scripting builds, testing and delivery Hybrid clouds COS Metrics and reports KPI metrics SW BI, Combining Data of different CoPs Visibility and Sharing of Knowledge Knowledge Creation Search and Browse Generic Business Processes with ALM tools

6. Twitter: #TuTe Other trends: Process Control

7. Hype cycle Source: Wikipedia

8. Historical level of Control in ALM tools 0 50 100 150 200 250 rcs era CVS, PVCS ClearCase. Continuus Bugzilla, Synergy CM, Perforce Free GIT, Team Backlog Tools controlled git, Cloud tools Early 1990's Late 1990's Early 2000 Late 2000's Early 2010's Late 2010's Majority of new Tool Roll-Outs Version Control Bug tracking / Change Mgt LevelofControl

9. From Process Control to Process Awareness Push comms Big Data approachs

10. Twitter: #TuTe Yet other trends: Interoperability

11. Architecture of the tools Microservices Multipurpose systems Single VendorEcosystems Openness and good Interfaces

12. Development Cloud Build capacity Automated Testing The Cloud ALM tools in Cloud - SaaS offering

13. Summary: Where the Tools are going? 1. Towards Lean SW 2. Towards Cloud and Open APIs 3. Process control towards Process alerts

Future of Product Development Tools

Recommandé

Recommandé

Contenu connexe

Plus de Contribyte

Plus de Contribyte (8)

Dernier

Dernier (20)

Future of Product Development Tools