Scalability patterns
•
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This talk is about concepts and patterns for highly scalable systems. It starts with a few guiding principles. Then the dimensions of scalability are explained. Afterwards some selected patterns are shows and some recommendations about storage and tools are made. The presentation ends with a short glimpse about what I did not talk about in this presentation and several pointers to further literature.
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This presentation is a journey through some (very) old computer science papers that contain a lot of very valuable knowledge regarding the problems we face today. For each of the papers, some of the key ideas are presented and how they address our current challenges.
Of course, the voice track is missing and there are a lot more papers that would be worth being mentioned in this presentation. Still, I hope that also the slides alone will be of some value for you - and convince you a bit that not everything "old" in IT is automatically worthless ... ;)
The truth about "You build it, you run it!"
In this slide deck I try to explore the meaning of the often misinterpreted sentence "You build it, you run it". Starting with its origin in a 2006 interview with Werner Vogels and a short description of the misinterpretation of that phrase that can be seen quite often these days in companies that try to pick up concepts like DevOps without really getting the idea behind it, I then start a bit longer journey.
It starts with the history and evolution of markets and IT. Based on that I dive deeper into the effects of uncertainty which these days is often predominant for companies facing narrow and highly dynamic markets. I try to approach from a financial point of view as well as from a risk management point of view (yes, even if we have become agile, managing risk and financial aspects have not gone away).
The basic result is that we need to go faster (in terms of cycle times) without compromising quality. I also add a quick litmus test to figure out where your own company currently is located as reality never is as simple as a slide deck - to avoid turning a thought model that should support reasoning into a dogma.
Having the task set and understanding that IT must support going faster without compromising quality, I look at DevOps as it targets exactly the same goal. After a short explanation of what DevOps actually means (we face a perfect confusion of ideas when talking about DevOps) and what the effects are if you do it seriously, I focus on the effects for the process organization.
The traditional process organization - while usually being set up nicely for cost efficiency - is very poor in terms of cycle times. In order to shorten cycle times those organization will eventually become cross-functional, autonomous teams with end-to-end responsibility. And while those teams have all skills and the full authority for all their activities, they also need to take over the full responsibility for their actions - their is no one left to blame ;)
And this naturally leads to "(You decide it,) you build it, you run it" which in the end is a required organizational prerequisite for going fast in a DevOps way.
There is a lot left out in the slides that would also be worth talking about (after all it is just a 60 min talk) and of course the voice track is missing, but I still hope that those slides are of some value for you.
The promises and perils of microservices
This slide deck is basically an extended and updated version of the "Microservices - stress-free and without increased heart-attack risk" slide deck - yet quite a lot of extensions and updates.
The deck is organized in three parts: Why, What and How.
The first part addresses the question if and when you should use microservices at all. It tries to create a bigger picture by explaining changing (business) markets and a changing role of IT and fits microservices into that picture. When looking at this picture it also becomes clear that microservices always should accompanied by other measures like DevOps, Cloud and some more if you really want to leverage its benefits. Otherwise you usually only get the downsides of microservices with harvesting their benefits.
The second part revisits the famous blog post from James Lewis and Martin Fowler, using it to explain what characteristics the microservice architecural style has. It turns out that this post contains quite a lot of information and that quite often only a subset of the characteristics get implemented.
The third part, the "How" dives deeper into the challenges and pitfalls that you usually encounter if you decide to adopt microservices. While of course not being complete and not being a perfect guide that makes everything easy, it should at least help you tho avoid the most common problems and pitfalls.
As always the voice track is missing which contains most of the information (it is a 90 min talk after all), but hopefully also the slides alone contain some helpful information.
Resilient Functional Service Design
This slide deck addresses the importance of proper functional design for creating resilient distributed systems (not only, but also microservice-based systems).
It starts by explaining the pitfall that many developers fall into when getting started with resilience: Quite often the effects of the fundamentals, i.e., creating bulkheads and choosing the communication paradigm, on system robustness at runtime are heavily underrated. Instead, the pure technical measures like circuit breakers, backpressure, etc. are often overestimated.
Unfortunately, all technical measures will not help to create a robust system if the functional design leads to highly coupled services where the availability of one service functionally totally depends on the availability of another service. The same is true if you need to call many services that all need to be available to answer a client request.
To make it worse, most of the wide-spread design approaches like functional decomposition, DRY (don't repeat yourself), design for re-use or layered architecture exactly lead to those problems, i.e., they are not suitable for designing distributed systems.
This slide deck does not offer any silver bullets to solve the problem (and actually I believe there is no silver bullet), but at least a few guiding principles. Additionally, it shows how the choice of the communication paradigm influences the bulkhead design and this way creates more options to create a good service design that also supports resiliency on a functional level.
As always this slide deck is without the voice track, i.e., most of the information is missing. But I hope that the slides on their own also provide some helpful hints.
Remark: As the "dismiss reusability" slide tends to get quite some attention, one more remark about that slide: On the voice track I usually add "If you find something that is worth being made reusable, i.e., that it satisfies the commercial constraints of Fred Brooks 'Rule of 9' (see https://blog.codecentric.de/en/2015/10/the-broken-promise-of-re-use/ for details), do not put it in a service. Instead create a library and put the functionality in there. And make sure that changes to the library do not mean that all users have to upgrade at the same time, but that any library user can update whenever it fits the user's schedule. Otherwise, you would have introduced tight coupling through the back door again."
Watch your communication
In this talk, I address two topics.
The first topic is the "one size fits all" dogma that we see quite often in IT. I try to explain, why we do it but also what the pitfalls are and how oversimplified solution spaces lead to the same kind of accidental complexity when trying to solve a given business problem as overly complex solution spaces.
The second and core topic is the influence that a communication paradigm you use has on your functional design. Based on the observation that synchronous request/response in all its flavors is the usually used "one size fits all" communication paradigm, I use a real-life example to demonstrate how two different communication paradigms (synchronous request/response and asynchronous event-based communication) can lead to very different functional service designs - and that synchronous request/response not necessarily leads to the more appropriate functional design.
The bottom line of the talk is that you should not give up your design options prematurely in order to be able to find the best problem-solution fit and that the choice of the communication paradigm is a more important options than most people usually think it is.
As always the voice track is missing and therefore quite a bit of the information (or probably most of the information) contained in the talk. But hopefully the slides still give you some useful pointers.
Life, IT and everything
This is the slide deck of a keynote I gave at Java Forum Nord 2016.
I started with some of the contradictory requirements, developers find themselves often confronted with and the question, if there is a bigger context that we can use to make sense of it.
Then I did a bit of "time-traveling", explaining where we came from and how business and IT have evolved over time. The core finding was that we find ourselves in the middle of a revolution that is going on (not only) in IT.
The last part were some recommendations how an IT developer can at least reduce the risk to become "revolution roadkill".
As always most of the content was on the voice track. But maybe the slides are still a bit helpful on their own.
Resilience reloaded - more resilience patterns
The talk belonging to this slide deck is basically a "sequel" of the "Patterns of resilience" talk. It briefly repeats a few core statements of the previous talk and then starts to complete the picture.
First, it creates a more complete pattern taxonomy and locates the taxonomy of the previous talk in it. Then, it repeats a few of the patterns of the first talk concerning core architectural patterns and error detection patterns, enriching them with some additional information.
After that the core part of this talk starts: The error recovery and error mitigation patterns. The talk presents several well known and not so well known patterns from those two domains, partially augmented with code examples. Then after, briefly touching fault treatment patterns, some more patterns of the error prevention domain are presented.
The talk concludes with a small guideline, how to identify the appropriate pattern set for a concrete situation.
As always, the voice track and therefore a lot of information is missing in this slide deck. Yet, I hope that it provides a few helpful pointers.
DevOps is not enough - Embedding DevOps in a broader context
As the subtitle says, this talk tries to embed DevOps in a broader context. Therefore first briefly is sketched, how the state of IT is perceived by many people in IT. Additionally, DevOps is briefly defined by explaining the three ways as they were described in the book "The Phoenix Project".
After this short introduction the claim of the title is picked up: "Why is DevOps not enough?". In order to explain this claim, the history of economic markets and of IT are briefly explained. The bottomline is that almost all markets supported by IT have drastically changed in the years since IT became relevant for companies. Additionally, IT itself has changed dramatically in this period of time. Therefore, most of the common knowledge and best practices, we stick to in IT became counter-productive meanwhile because they solve a completely different problem, i.e., the problems of the times when the markets and IT itself were totally different.
The conclusion from the short examination of history is that we basically have to re-think IT as a whole, which is discussed briefly in the next section of the talk. This section first has a look at the new drivers that inflict change on IT. Then it derives the new goals of IT and shows some of the building blocks.
Having this new idea of IT at hand, the role of DevOps in it is finally considered. Starting with DevOps and its continuous pursuit of shortening cycle times in order to optimize outcome, DevOps can be used to drive the change of IT. This is exemplarily shown by starting with DevOps and then see, which question arise from that and what solutions it leads to. In the end of the example, many of the building blocks of the new IT are in place - just by starting with DevOps and continuously improving.
This is a very dense talk covering a lot of ground in order to lead to the final observation that DevOps can (and should) be used to drive the required change of IT and many detail have been left out. Also the voice track is missing of course, but I still hope that it provides you with some useful information.
Production-ready Software
This slide deck is about the production-readiness of software. First it explains why production-ready is more important than just feature-complete.
Then it takes a quick detour to DevOps. It explains the core ideas of DevOps and how this talks relates to the concepts of DevOps (by simulating the feedback loop from ops to dev while the wall between dev and ops still exists).
After this detour the needs of the administrators from the ops department are briefly described and the challenges that arise from that for developers who want to provide production-ready software.
Based on those challenges a selection of design principles are described (mostly in terms of topics to take care of in the design and implementation process). While not being complete by far, taking care of the topics described on these slides are a huge step towards production-ready software based on my experience.
Of course all the information from the voice track is missing, it is slides only. Even though the slides just carry a fraction of the information, I hope they will still contain some good pointers for you that help you to create better production-ready software.
Towards complex adaptive architectures
This slide deck dives a bit in history to understand where IT comes from, where we are now and why we are there and what our options are. It starts with exploring the paradigms of the markets companies live in, travels through matching organizational approaches and finally looks at the history and current state of IT.
Based on that and after a quick look at Conway's law the market paradigms and organizational approaches are evaluated with respect to the drivers they imply on IT in general and architecture particularly.
And after all that foreplay (which is necessary to really understand where we are and what the forces are) several architectural styles and technologies are located on the scale that the market paradigms and organizational approaches span. This way sort of an "architectural fitness detector" is provided which helps to make architectural choices based on needs instead of hypes or habits (which are way to often the choice drivers).
The slide deck then finishes up with a few mismatches that are seen quite often in reality and it can be seen how the distance between architectural choices on the presented scale can be used to quickly determine potential mismatches.
As always the voice track is missing but I hope that the slides are still of some help for you.
Conway's law revisited - Architectures for an effective IT
This session is sort of a journey from the change drivers that affect today's IT to ways to respond to them in the architecture.
It starts with the business and technological drivers that force IT into change. After briefly sketching the big picture for IT as a whole, it focuses on the drivers and requirements that can be derived for architecture from the IT change drivers.
After carving out the architectural requirements, those are mapped to some trending topics. Based on the mapping results, it becomes obvious that there is no silver bullet (we all know that but this doesn't keep us from hoping that there still is one).
It is required to combine some ideas and concepts to a joint architectural style that becomes more than just the sum of its parts - and that's the last part of the story: Describing an architectural style that helps addressing the IT change drivers shown in the first part.
As a side note, at the end an idea is shown how EAM could fit into the picture laid out by the slides.
As always, many details are only on the voice track - and as always, sorry about that! But I hope that the slides still contain some ideas which are valuable for you.
Microservices - stress-free and without increased heart attack risk
This is a slide deck belonging to a talk in which I talk about the challenges with µservices in general and provide a few ideas how to avoid the worst pitfalls.
The talk starts with a short explanation why µservice are always hard (yes, the title of the presentation is sort of an oxymoron) and when and when not to choose µservices.
After that introduction I provide a few ideas which from my experience help to get around the worst problems and pitfalls with µservices. As the ideas are from very different topic areas I organized them according to the software production chain starting with design hints and ending with resilience hints (a pure production related topic).
As always the voice track is missing but I hope that also the slides in themselves will give you a few helpful hints.
Patterns of resilience
In this slide deck, I first describe what resilience is, what it is about, why it is important and how it is different from traditional stability approaches.
After that introductory part the main part is a "small" pattern language which is organized around isolation, the typical starting point of resilient software design. I used quotation marks for "small" as even this subset of a complete resilience pattern language still consists of around 20 patterns.
All the patterns are briefly described and for some of the patterns I added a bit of detail, but as this is a slide deck, the voice track - as usual - is missing. Also this pattern language is still sort of work in progress, i.e., it has not yet settled and some details are still missing. Yet I think (or at least hope), that the slides might contain a few useful insights for you.
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