INDUSTRY INSIGHTS YOUR PEERS ARE READING
Any significant architectural pattern has downsides. Cam finishes his explanation of micro frontends by looking at some of the costs of this approach, such as payload size and complexity in operations and governance. more…. skip-home-page MORE
Gregor continues his article on lock-in by introducing a model, a quadrant based on switching cost and unique utility, to aid thinking. more…. skip-home-page MORE
One of the main concerns of distributing the ownership of data to the domains is the duplicated effort and skills required to operate the data pipelines technology stack and infrastructure in each domain. MORE
Zhamak explains the first part of the data mesh concept - using the ideas behind Domain-Driven Design to structure the data platform. more…. skip-home-page MORE
A lot of software architects expend time and energy trying to come up with ways to avoid lock-in. Sadly many of these discussions miss important elements of how lock-in works - it's certainly not a simple binary switch. Gregor Hohpe , who's probably spend more time in such meetings that he'd like to admit, has written what I think will be an essential article on the topic. This first installment looks at the different varieties of lock-in. MORE
Integration tests determine if independently developed units of software work correctly when they are connected to each other. The term has become blurred even by the diffuse standards of the software industry, so I've been wary of using it in my writing. MORE
The transcript of my Agile Australia keynote on agile in 2018. I comment that although agile is now mainstream, much of what is done is faux-agile. I outline three main challenges: stop Agile Industrial Complex imposing process. raise importance of tech excellence. prefer products over projects. and one reason to be optimistic. MORE
Our authors now move on to the technical components that make Continuous Delivery possible for a Machine Learning system. The first two are "Discoverable and Accessible Data" followed by "Reproducible Model Training". more…. skip-home-page MORE
My colleagues continue their discussion of the technical components of Continuous Delivery for Machine Learning. This installment looks at model serving, testing, and quality. more…. skip-home-page MORE
Danilo, Arif and Christoph finish the technical components of Continuous Delivery for Machine Learning with the last two items: Continuous Delivery Orchestration, and Model Monitoring and Observability. more…. skip-home-page MORE
Nearly twenty years ago, I wrote "Refactoring", which is probably my most successful book. It's still a useful book, as the technique is one that doesn't change much with new languages and technology. But given that, a book that uses java.util.Vector is showing its age a bit. So, for the last couple of years I've been working on a new edition. MORE
219 Distribution of the data ownership and data pipeline implementation into the hands of the business domains raise an important concern around accessibility, usability and harmonization of distributed datasets. Zhamak explains that this is where the learning in applying product thinking and ownership of data assets come in handy. more…. skip-home-page MORE
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Gregor completes his article by totting up the total cost of avoiding lock-in, and considering some examples of the decisions around lock-in. more…. skip-home-page MORE
Cam now looks at various issues that need to be considered to make this whole approach work. How to achieve coherent styling, dealing with shared components, inter-application communications and how to test it all. more…. skip-home-page MORE
The team tackles some more technical components of Continuous Delivery for Machine Learning. This time they look at Experiments Tracking and Model Deployment. more…. skip-home-page MORE
Software systems are prone to the build up of cruft - deficiencies in internal quality that make it harder than it would ideally be to modify and extend the system further. MORE
Evan Bottcher has been involved with several of our clients with microservices and platform building over the last few years. A couple of years ago, at one of our radar writing meetings, he gave a great presentation on what makes an effective way to think about platforms. MORE
We've got a cover design for the second edition of Refactoring. As with any book in my signature series, I needed to decide which bridge would feature in the photo. MORE
Danilo, Arif and Christoph finish their article on Continuous Delivery for Machine Learning with a peek at the future of platform thinking and how we might use CD4ML to help evolve intelligent systems without bias. more…. skip-home-page MORE
Many enterprises are investing in a centralized data platform to provide support for business insights and (hopefully) automated decision making. Having worked with several of these organizations, my colleague Zhamak Dehghani feels there are fundamental problems with this common approach. MORE
My colleagues continue their article on Continuous Delivery for Machine Learning by looking at the future, considering what further work needs to be done in Data Versioning and Data Pipelines. more…. skip-home-page MORE
As monolithic systems become too large to deal with, many enterprises are drawn to breaking them down into the microservices architectural style. It is a worthwhile journey, but not an easy one. MORE
After all the theory about micro frontends, Cam now digs into an example of how JavaScript integration can work with a simple application. more…. skip-home-page MORE
Recent years have seen an explosion of interest in the microservices architectural style, which has become popular due to its ability to allow customer-oriented teams to build and deploy software independently. MORE
Cam moves on from the benefits of micro frontends to look at different ways of implementing them. He covers server-side template composition, build-time integration, and run-time integration via iframes, JavaScript, and Web Components. more…. skip-home-page MORE
A common debate in software development projects is between spending time on improving the quality of the software versus concentrating on releasing more valuable features. MORE
Machine Learning applications are becoming popular in our industry, but teams struggle to develop, test, deploy them. At ThoughtWorks, we've gained great benefits from Continuous Delivery, so we naturally endeavored to apply this technique to our machine learning applications. MORE
Any serious software system needs some form of observability, so we can figure out how it is working and keep track of problems. But adding the code for this often results in lots of low-level cruft. MORE
Amazon is now selling the Kindle edition of Refactoring. As I write this, it's touch more expensive than the hardback since they are currently discounting the hardback but not the electronic version. more…. skip-home-page MORE
I've added a couple more memos to my thoughts on producing the second edition of Refactoring. Last week I shone a light on the hidden heroes. whose technical reviews removed many a mistake from the book. Today I added some thoughts about the copyediting of the book , which we've just finished. MORE
Pete completes his discussion of domain-oriented observability by comparing domain probes to using events and aspect-oriented programming. more…. skip-home-page MORE
199 Martin Fowler
SEPTEMBER 4, 2019
Our authors now move on to the technical components that make Continuous Delivery possible for a Machine Learning system. The first two are "Discoverable and Accessible Data" followed by "Reproducible Model Training". more…. skip-home-page
Martin Fowler
SEPTEMBER 3, 2019
Machine Learning applications are becoming popular in our industry, but teams struggle to develop, test, deploy them. At ThoughtWorks, we've gained great benefits from Continuous Delivery, so we naturally endeavored to apply this technique to our machine learning applications.
Martin Fowler
JUNE 10, 2019
Recent years have seen an explosion of interest in the microservices architectural style, which has become popular due to its ability to allow customer-oriented teams to build and deploy software independently.
Martin Fowler
MAY 29, 2019
A common debate in software development projects is between spending time on improving the quality of the software versus concentrating on releasing more valuable features.
Speaker: Nick Noreña, Innovation Coach and Advisor, Kromatic
Experimenting as a way to explore new products, services, and business models can help eliminate the guesswork involved in building something your customers actually value. That said, it's often quite tricky to take your vision and figure out the first experiment to run. How do you get started? How can you ensure your experiments are well-designed? Join Nick Noreña, educator, entrepreneur, and currently an Innovation Coach at Kromatic, as he walks us through how we can figure out the right experiments to run for any product or service, and in organizations of all sizes.
Martin Fowler
MAY 20, 2019
One of the main concerns of distributing the ownership of data to the domains is the duplicated effort and skills required to operate the data pipelines technology stack and infrastructure in each domain.
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Martin Fowler
MAY 21, 2019
Software systems are prone to the build up of cruft - deficiencies in internal quality that make it harder than it would ideally be to modify and extend the system further.
Martin Fowler
AUGUST 29, 2019
A lot of software architects expend time and energy trying to come up with ways to avoid lock-in. Sadly many of these discussions miss important elements of how lock-in works - it's certainly not a simple binary switch. Gregor Hohpe , who's probably spend more time in such meetings that he'd like to admit, has written what I think will be an essential article on the topic. This first installment looks at the different varieties of lock-in.
Martin Fowler
APRIL 8, 2019
Calls to instrumentation require various bits of execution context. Pete extends his discussion of domain probes to show how factory functions help simplify the data plumbing. more…. skip-home-page
Martin Fowler
APRIL 2, 2019
Any serious software system needs some form of observability, so we can figure out how it is working and keep track of problems. But adding the code for this often results in lots of low-level cruft.
Speaker: Franziska Beeler, Head of Cloud Academy, and Tendayi Viki, Associate Partner, Strategyzer
When testing new business and product ideas, choosing the right experiment is just the beginning. After we have chosen our experiment, it’s important that we spend some time designing it well. Join Tendayi Viki, corporate innovation expert and associate partner at Strategyzer, and Franziska Beeler, Head of Cloud Academy at Strategyzer, as they walk us through the three key elements that help you design stronger experiments and come away with the evidence you need to advance your idea.
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Martin Fowler
MAY 14, 2019
Zhamak explains the first part of the data mesh concept - using the ideas behind Domain-Driven Design to structure the data platform. more…. skip-home-page
Martin Fowler
SEPTEMBER 18, 2019
My colleagues continue their article on Continuous Delivery for Machine Learning by looking at the future, considering what further work needs to be done in Data Versioning and Data Pipelines. more…. skip-home-page
Martin Fowler
JULY 25, 2018
I've added a couple more memos to my thoughts on producing the second edition of Refactoring. Last week I shone a light on the hidden heroes. whose technical reviews removed many a mistake from the book. Today I added some thoughts about the copyediting of the book , which we've just finished.
Martin Fowler
JUNE 17, 2019
After all the theory about micro frontends, Cam now digs into an example of how JavaScript integration can work with a simple application. more…. skip-home-page
Speaker: Steven Haines, Founder and CEO, Sequent Learning Networks
Product professionals use phrases like "voice of the customer," and "user experience" so often that it can be easy to lose sight of their actual meanings. How can we, as product professionals, learn to keep customers and users at the heart of our work? Join Steven Haines, globally recognized thought leader and author, as he guides us through a memorable journey demonstrating how you can walk a mile in their customer's shoes. He'll explore how, by developing true empathy for your users, you can ensure you're creating the features and products they actually want.
Martin Fowler
SEPTEMBER 11, 2019
Danilo, Arif and Christoph finish the technical components of Continuous Delivery for Machine Learning with the last two items: Continuous Delivery Orchestration, and Model Monitoring and Observability. more…. skip-home-page
Martin Fowler
JUNE 19, 2019
Any significant architectural pattern has downsides. Cam finishes his explanation of micro frontends by looking at some of the costs of this approach, such as payload size and complexity in operations and governance. more…. skip-home-page
Martin Fowler
JUNE 13, 2018
We've got a cover design for the second edition of Refactoring. As with any book in my signature series, I needed to decide which bridge would feature in the photo.
Martin Fowler
SEPTEMBER 9, 2019
The team tackles some more technical components of Continuous Delivery for Machine Learning. This time they look at Experiments Tracking and Model Deployment. more…. skip-home-page
Speaker: Tim Herbig, Product Management Coach and Consultant
Product teams tend to get ahead of themselves by rushing from idea straight to building a Minimum Viable Product (MVP). How can a product manager slow their team down and prevent them from wasting valuable resources? Join Tim Herbig, Product Management Coach and Consultant, as he introduces a new way of understanding MVPs and explores how you can approach validation without wasting the resources of your development team.
Martin Fowler
SEPTEMBER 6, 2019
My colleagues continue their discussion of the technical components of Continuous Delivery for Machine Learning. This installment looks at model serving, testing, and quality. more…. skip-home-page
Martin Fowler
SEPTEMBER 2, 2019
Gregor continues his article on lock-in by introducing a model, a quadrant based on switching cost and unique utility, to aid thinking. more…. skip-home-page
Martin Fowler
SEPTEMBER 19, 2019
Danilo, Arif and Christoph finish their article on Continuous Delivery for Machine Learning with a peek at the future of platform thinking and how we might use CD4ML to help evolve intelligent systems without bias. more…. skip-home-page
Martin Fowler
APRIL 9, 2019
Pete completes his discussion of domain-oriented observability by comparing domain probes to using events and aspect-oriented programming. more…. skip-home-page
Speaker: J.B. Siegel, VP of Client Services, Seamgen
Before a new product or feature goes into development, you have to gauge whether it will be a worthwhile investment. But what’s the best way to do so - and how can you get honest insights from your end users? Join J.B. Siegel, VP of Client Services at Seamgen, as he explores how to use wireframes and clickable prototypes to validate your product. He’ll discuss how user testing allows you to really understand your users - and how to use the insights to inform your product strategy.
Martin Fowler
JUNE 11, 2019
Cam moves on from the benefits of micro frontends to look at different ways of implementing them. He covers server-side template composition, build-time integration, and run-time integration via iframes, JavaScript, and Web Components. more…. skip-home-page
Martin Fowler
APRIL 24, 2018
As monolithic systems become too large to deal with, many enterprises are drawn to breaking them down into the microservices architectural style. It is a worthwhile journey, but not an easy one.
Martin Fowler
SEPTEMBER 9, 2019
Gregor completes his article by totting up the total cost of avoiding lock-in, and considering some examples of the decisions around lock-in. more…. skip-home-page
Martin Fowler
APRIL 3, 2019
Now he's shown you the basic idea, Pete shows how using domain probes makes it much easier to test observability behavior. more…. skip-home-page
Speaker: Nick Noreña, Innovation Coach and Advisor, Kromatic
We all want to build successful products - and that means satisfied customers. Before anything else, you must understand what problems you can solve. The best way to do that is to get out of the building and start asking questions. But how can you make the most of those conversations, and ensure that you walk away with productive insights? Join Nick Noreña, educator, entrepreneur, and currently Innovation Coach and Advisor at Kromatic, as he covers how we can effectively action our findings from customer discovery conversations.
Martin Fowler
SEPTEMBER 4, 2019
Since Gregor's previous matrix was so useful, now he does another one. This matrix models switching costs and Gregor uses it to examine the actual costs of lock-in. more…. skip-home-page
Martin Fowler
JUNE 13, 2019
Cam now looks at various issues that need to be considered to make this whole approach work. How to achieve coherent styling, dealing with shared components, inter-application communications and how to test it all. more…. skip-home-page
Martin Fowler
AUGUST 27, 2018
The transcript of my Agile Australia keynote on agile in 2018. I comment that although agile is now mainstream, much of what is done is faux-agile. I outline three main challenges: stop Agile Industrial Complex imposing process. raise importance of tech excellence. prefer products over projects. and one reason to be optimistic.
Martin Fowler
MAY 16, 2019
Distribution of the data ownership and data pipeline implementation into the hands of the business domains raise an important concern around accessibility, usability and harmonization of distributed datasets. Zhamak explains that this is where the learning in applying product thinking and ownership of data assets come in handy. more…. skip-home-page
Speaker: Kirui K. K., Co-founder and CEO of Tanasuk Africa
If you want to offer a better user experience, it can be tempting to track each and every data point in your product. However, this can quickly get complicated and overwhelming as you collect more and more data. How do you know which metrics will help you improve? Kirui K. K., Co-founder & CEO Tanasuk Africa, wants you to know that analytics don't have to be complicated to make an impact - no matter the size of your company. Join him as he explains how to create a customer journey map, then use that map to figure out the metrics you need to know - and how to use them.
Martin Fowler
MARCH 5, 2018
Evan Bottcher has been involved with several of our clients with microservices and platform building over the last few years. A couple of years ago, at one of our radar writing meetings, he gave a great presentation on what makes an effective way to think about platforms.
Martin Fowler
MARCH 27, 2018
Nearly twenty years ago, I wrote "Refactoring", which is probably my most successful book. It's still a useful book, as the technique is one that doesn't change much with new languages and technology. But given that, a book that uses java.util.Vector is showing its age a bit. So, for the last couple of years I've been working on a new edition.
Martin Fowler
JANUARY 16, 2018
Integration tests determine if independently developed units of software work correctly when they are connected to each other. The term has become blurred even by the diffuse standards of the software industry, so I've been wary of using it in my writing.
Martin Fowler
DECEMBER 17, 2018
Amazon is now selling the Kindle edition of Refactoring. As I write this, it's touch more expensive than the hardback since they are currently discounting the hardback but not the electronic version. more…. skip-home-page
Speaker: Michael Carducci, CTO, Mago:Tech
As senior tech leaders, we often fall prey to thinking that a “good idea” and logical case is sufficient to get the desired response and result. We might be trying to get our CEO on-board with investment in a new technology or a rearchitecture effort, or we might want culture or process changes by our team. Our “good idea” is simply the beginning. An idea must be communicated; a case must be made; and ultimately other people must be persuaded to get onboard. Michael Carducci brings a fascinating background to this webinar. He’s a technologist and regularly works to help senior leaders improve their results. He’s also a professional mentalist and has been a student of psychology, human behavior and the principles of influence for nearly two decades.
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