My talk from Open Source Summit Paris 2016, on how our multi-cloud second generation PaaS, Platform.sh allows any Open Source vendor to create a sustainable non-evil SaaS model and what this means for enterprise customers. How Control and Productivity can be aligned.
JVMCON Java in the 21st Century: are you thinking far enough ahead?Steve Poole
Discussions abound about the ‘future of Java’ though most of them are actually focused on the here and now. What are the consequences of Java 9 modularity, of moving JEE to Eclipse, of running your application in the cloud? All questions that are important now. but what are the important questions for tomorrow?
In this talk learn about a different view on the real future of Java. See how new hardware technologies, new software approaches and new ideas are powering Java towards a life far removed from that envisioned at its inception. It’s time to look up and see how you will need to change how you think: Whether it's driven by AI or Quantum Computers the problems of tomorrow demand new approaches and new thinking. Are you ready?
n detail the talk will show examples from simple procedural thinking , through lambdas to neural networks etc up to quantum computing. The talk will cover how the JVM is being extended to embrace new forms of hardware - from GPU's and FPGAs and large compute clusters through organic processors and (eventually) QC's.
This talk will explain the journey that Java is on and how its ultimate end point is perhaps not what you'd expect.
Construire Des Applications Cloud Natives - SymfonyLive Paris 2016Ori Pekelman
Ces-jours-ci on ne parle que de montée en échelle et de scalabilité horizontale.
Dans cette présentation, un peu abstraire mais bien pratique, nous parlerons des choix architecturaux que vous pouvez faire pour rendre votre application prête pour un succès planétaire (dommage d’échouer an ayant réussi).
Nous allons parler de micro-services, de leur utilité et leurs limites, là où l’on veut communiquer par JSON/HTTP (que d’autres appels REST) et là où un Message Queue en bonne et due forme vous rendra des fiers services futurs. Nous parlerons aussi des écueils à éviter (par la séparation des domaines écritures / lectures) et des choses, que jamais ô jamais vous ne devriez mettre dans une base de données relationnelle. Nous évoquerons en guise de travaux pratiques et cerise sur le gateau comment faire des migration paresseuses avec Symfony.
JVMCON Java in the 21st Century: are you thinking far enough ahead?Steve Poole
Discussions abound about the ‘future of Java’ though most of them are actually focused on the here and now. What are the consequences of Java 9 modularity, of moving JEE to Eclipse, of running your application in the cloud? All questions that are important now. but what are the important questions for tomorrow?
In this talk learn about a different view on the real future of Java. See how new hardware technologies, new software approaches and new ideas are powering Java towards a life far removed from that envisioned at its inception. It’s time to look up and see how you will need to change how you think: Whether it's driven by AI or Quantum Computers the problems of tomorrow demand new approaches and new thinking. Are you ready?
n detail the talk will show examples from simple procedural thinking , through lambdas to neural networks etc up to quantum computing. The talk will cover how the JVM is being extended to embrace new forms of hardware - from GPU's and FPGAs and large compute clusters through organic processors and (eventually) QC's.
This talk will explain the journey that Java is on and how its ultimate end point is perhaps not what you'd expect.
Construire Des Applications Cloud Natives - SymfonyLive Paris 2016Ori Pekelman
Ces-jours-ci on ne parle que de montée en échelle et de scalabilité horizontale.
Dans cette présentation, un peu abstraire mais bien pratique, nous parlerons des choix architecturaux que vous pouvez faire pour rendre votre application prête pour un succès planétaire (dommage d’échouer an ayant réussi).
Nous allons parler de micro-services, de leur utilité et leurs limites, là où l’on veut communiquer par JSON/HTTP (que d’autres appels REST) et là où un Message Queue en bonne et due forme vous rendra des fiers services futurs. Nous parlerons aussi des écueils à éviter (par la séparation des domaines écritures / lectures) et des choses, que jamais ô jamais vous ne devriez mettre dans une base de données relationnelle. Nous évoquerons en guise de travaux pratiques et cerise sur le gateau comment faire des migration paresseuses avec Symfony.
"Once you have a good reputation the projects will find you!" With more than 6 years experience as an ABAP Software Engineer this freelancer surely knows what he is talking about. An interview with Gabor Viragh...
Scrape a website once it's not a challenge. Doing it at scale and continuously can be very hard. In this ppt for my speech at Web Extract Summit 2020 i've tried to highlight some challenges and some best practices to use when you run a business based on web scraped data.
OSCON 2016 - Lessons learned from 15+ years in open source - Matt AsayMatt Asay
From the outside, open source companies try to appear to be Fine Upstanding Open Source Citizens™. On the inside of the sausage factory, however, hard decisions and trade-offs are constantly being made. After nearly 15 years of working for some of the industry’s best-known open source companies, including MongoDB and Canonical, Matt Asay decided to go to work for a company that uses and contributes to open source communities but doesn’t rely on them for revenue.
Matt describes the fundamental struggles every open source business has and explores how different companies have dealt with them (e.g., which features will be open vs. closed, which license to use, etc.). Matt also details why he decided to move on and why maybe you should consider doing so too.
Presenter: Peter Schroer, Aras
Aras CEO Peter Schroer will share his insights on the current state of PLM and describe how Aras is helping companies achieve their goals.
Breaking down monolithic applications into microservices - DEM06-S - Chicago ...Amazon Web Services
The code bases that underlie monolithic applications are not only difficult to maintain, they slow your development teams. As your application grows and changes need to be made, the tight coupling of code and teams can bring progress to a halt. In this session, Datadog shares tips for uncoupling your teams and breaking large code bases into microservices. We demonstrate how splitting a massive application into small, single-purpose services that communicate together and act as one not only works well in a DevOps environment, but also in the cloud. This presentation is brought to you by AWS partner, Datadog.
Monolithic code bases are not only difficult to maintain, they slow your development teams. As your application grows, the tight coupling of code and teams can bring progress to a halt. In this session, Datadog shares tips for uncoupling your teams and breaking large code bases into microservices. This presentation is brought to you by AWS partner, Datadog.
Why Cloud Native?
What is Cloud Native
Capgemini Cloud Choice
Cloud Native Apps –Our Approach
So how does this differ?
Keith KELLY, Cloud / DevOps Transformation Leader
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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"Once you have a good reputation the projects will find you!" With more than 6 years experience as an ABAP Software Engineer this freelancer surely knows what he is talking about. An interview with Gabor Viragh...
Scrape a website once it's not a challenge. Doing it at scale and continuously can be very hard. In this ppt for my speech at Web Extract Summit 2020 i've tried to highlight some challenges and some best practices to use when you run a business based on web scraped data.
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Monolithic code bases are not only difficult to maintain, they slow your development teams. As your application grows, the tight coupling of code and teams can bring progress to a halt. In this session, Datadog shares tips for uncoupling your teams and breaking large code bases into microservices. This presentation is brought to you by AWS partner, Datadog.
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SAAS IS THE ENEMY OF OPEN SOURCE GOOD THING THAT WE ARE IN THE POST-SAAS ERA
1. Presented by
Ori Pekelman | Co-Founder & VP of Marketing |
ori@platform.sh | https://platform.sh
SAAS IS THE ENEMY OF OPEN SOURCE
GOOD THING THAT WE ARE IN THE POST-SAAS ERA
2. ÉDITION 2016 | 16&17 NOVEMBRE
#OSSPARIS16
SAAS IS THE ENEMY OF OPEN SOURCE
GOOD THING THAT WE ARE IN THE POST-SAAS ERA
3. Horizon 2020's SME Instrument laureate
Concours d’Innovation Numérique laureate
7. #OSSPARIS16
➔ But hidden. Running in the background.
➔ Not the software end-users use.
➔ Without the promise of liberty.
➔ It killed proprietary software, but left us, both
individuals and companies no better for it.
In the meantime Open Source won.
9. #OSSPARIS16
Economy of scale simply made it less and less
rational to invest in in-house custom built
software that is subpar.
10. #OSSPARIS16
And from SMEs to the large enterprise, often reluctantly,
IT was forced to let go of bespoke development of heavy
to install and maintain on-premise solution and replace
those by “best of breed solutions” from SaaS providers.
11. #OSSPARIS16
● Transforming Capex to Opex
● While reducing operating costs
● With improved Time To Market
● … and much superior user-experience.
Consumer technology basically won over the enterprise
one.
Because SaaS brought the promise of
12. #OSSPARIS16
Putting stuff, out-there, on the web, made
integrating silos ever simpler.
It was, and it is a rational choice.
Conjugated with a world of simpler APIs
16. #OSSPARIS16
● A total lack of control of the roadmap
● Inability to innovate beyond what everybody else has
● Lack of control of your data
● Vendor lock-in
● And once that one sank in, rising costs
For the enterprise, slowly, you
discovered you suffered from
17. #OSSPARIS16
If you are in industry that has not
yet “been disrupted”, and you are
not the “disruptor”, your company’s
future is at highest risk.
And mind you, there will be no non-digital
enterprises.
18. #OSSPARIS16
What the hmpfff are you talking about?
97% of software we run is proprietary on-premise….
mixed with legacy bespoke …
If you have not yet seen the tidal wave of SaaS attack your
shores. It’s coming. And it will take 20 more years to bury the
old Microsoft. It’s still dead. Remember … Open-Source won.
19. #OSSPARIS16
And this is orthogonal to the cloud issue.
The question is Bespoke vs Universally shared.
The universally shared model, SaaS, is always
proprietary.
Not about Web Vs Legacy.
20. A quick story. We are using a well known SaaS product.
A A couple of days ago they said “hey you are using
180% of the allowed space. 1.8GB, we will shut down
your business critical system if you don’t upgrade”
I downloaded the whole dataset. 60MB compressed.
800MB. I could buy more space for 135$ / 500MB /
Month.
21. This is VS 0.03$ to buy and 1.5$/M to rent from AWS.
So sometimes using SaaS means, if they can, they would
make you pay the price of 20 years ago.
I mean 1996 GB.
WTF.
22. #OSSPARIS16
The pendulum has swung so far to the services side that
companies, without even knowing it, become subservient,
on the long-run they would discover that they are now
vassals.
23. #OSSPARIS16
● The SaaS model has not even showed all of it’s muscles.
● Because machine learning techniques are still in their
infancy.
● A solution that has not only scale in operations and
development costs but also in understanding will become
harder and harder to beat.
Because it’s not even about the code.
It is about DATA.
24. #OSSPARIS16
But Open Source won, didn’t it?
● Most of the code running SaaS solutions (like anything
else) uses Open Source.
● Much of it GPL.
● But the end result has even worse effects than running
proprietary on-premise.
25. #OSSPARIS16
Infrastructure level Open Source has no
problem
● Google, Microsoft and IBM are more than happy to
contribute
● There are of course examples (shout-out to Gitlab), but
these are rare.
26. #OSSPARIS16
It’s the end-user Open Source projects that
suffer
● These are the ones that matter to our liberty and
privacy.
● And it is very hard to monetize.
29. #OSSPARIS16
Why monetize? It’s all about the freedom, chill.
It’s 2016, we are no longer having this conversation. Food.
30. #OSSPARIS16
Believe me, monetizing GPL, I know.
● At the foundation of Commerce Guys, an Open Source Vendor,
started around 2009.
● Drupal Commerce is fundamentally better than the other
e-commerce solutions out there.
● As first order of business we were going to beat Magento.
● Hugely successful (60,000 running sites. Big ones too).
● Big community, many contributions
● Even raised VC money.
32. #OSSPARIS16
Monetization Strategies
● Support - we didn’t make a broken product.
● Marketplace - took more than three years
● Professional services - worked. But that’s not scalable.
● Hosted / SaaS version - Shebang.
35. #OSSPARIS16
Go SaaS!
● The problem was that a SaaS model just didn’t cut it.
● We could dumb down the solution to make it one shoe
fits all.
● But then.. it wouldn’t be any better. It was better
because it was open, a framework, easy to extend and
hack.
36. #OSSPARIS16
When SaaS won...
● There were economics reasons, but there were also technical
reasons for the world to have went SaaS
● Maintaining numerous large software projects was simply not
feasible with the technics of 10 years ago.
● Now with Git, Containers, Orchestration and lifecycle automation
technologies, we can suddenly benefit from the best of both worlds.
37. #OSSPARIS16
We knew that now it is possible to make
● A software platform that evolves continuously and that is cheap to
maintain and manage at scale (with true SLAs, scalability and all).
● On top of which you can do have your own innovative edge with
custom code
● The 95% of the code that is shared can be managed as cheaply as a
single monolithic SaaS solution.
● Git! Containers! Orchestration! Cloud!
38. Zero admin chores:
The most extreme
version of DevOps, is
NoOps
Git-driven infrastructure
With a single git push you can deploy an
arbitrarily complex cluster (with micro-services,
messages queues and the lot.)
Automated high-availability of everything
Everything is managed & automated: from the
network to the filesystem, from the build
process to deployment.
Multi-cloud, multi-app, multi-stack
With Sovereign Hosting as a feature
Deploy any PHP, Node.js, Python or Ruby
application.
39. BEYOND CLOUD HOSTING
Clone a byte-for-byte copy of your
production site in less than a minute.
➔ Every git branch has a url
➔ Eliminates QA bottlenecks
➔ 90% faster human testing and
validation
➔ Fail proof, predictable deployments
➔ Quick bug fixes and security release
resolution
40. #OSSPARIS16
This worked.
● It was hard work. Expensive work. Getting a 24/7/365 highly
available operation with support and billing infrastructure is not
cheap.
● But we discovered that the problem we were trying to solve for our
own Open Source solution, Drupal Commerce, was general.
● Our clients, asked us for what goddamn reason they couldn’t use this
for other Open Source projects.
41. #OSSPARIS16
… so Drupal Commerce is doing just fine
● A smaller company that focuses on the core product
● With a marketplace that works
● With many contributors
● Also selling expertise
● But we had to spin-off and sell that in order to go for the more
general solution
42. #OSSPARIS16
We didn’t beat our good open source friends
from Magento
● We joined forces. Now Magento Cloud runs on a white-label
Platform.Sh
● And eZ Platform
● And Typo 3
● And many small ones. Like Open Social from Goal Gorilla (shout-out!)
● Stay tuned for more in a couple of weeks. And then some more.
43. #OSSPARIS16
Simple projects, with important outcomes
● This allows Open Source vendors to compete with SaaS providers, on
the same terms
● Longest integration took 2 months. Quickest 2 weeks.
● Most OS vendors could not efford this. Or the solution they would
valiantly create will be subpar, and not scale.
● This is not only a boon for the vendors. Also for the myriad of open
source developers in these communities. Because it’s industrialized.
45. #OSSPARIS16
The web won, and open source can still win the
important battle.
● But only if there is an operational model in which bespoke can
function at scale.
● It’s only when it is compatible with the world of APIs and Cloudy
Clouds.
● Only where even smaller Open Source vendors can monetize, at
scale, as a service.
● We still need to solve the Machine Learning thing though. Ideas?
46. #OSSPARIS16
In the Post SaaS Era
● We can have sustainable Open Source projects
● We can benefit from the shared while keeping control
● Control means innovation
● And Control means privacy