| My latest thoughts on integration architecture: |
| Queues invert control flow but require flow control |
| Control Flow—The Other Half of Integration Patterns |
| Event-driven = Loosely coupled? Not so fast! |
|
A Decade of Enterprise Integration Patterns (IEEE Software) |
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20 Years of Patterns' Impact (IEEE Software) |
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Conversations Between Loosely Coupled Services (Video on InfoQ) |
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Developing in a Service-oriented World (Video on InfoQ) |
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SOA Patterns - New Insights or Recycled Knowledge? (Whitepaper) |
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Let's Have a Conversation (IEEE Internet Computing) |
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Programming Without a Call Stack - Event-driven Architectures (ObjektSpektrum, 2006) |
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Your Coffee Shop Does Not Use Two-Phase Commit (IEEE Software) |
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Developing in a Service-Oriented World (ThoughtWorks Whitepaper) |
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An Asynchronous World (Software Development) |
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Nearfield Communication (NFC) in Japan (OOP 2012) |
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Embedded OSS (OOP 2012) |
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Programming the Cloud (QCOn Tokyo 2010) |
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Distributed Programming the Google Way (Devoxx 2009) |
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Developing in a Service-Oriented World (SOACon 2007) |
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Programming without a Call Stack: Event-driven Architectures (SOACon 2007) |
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Software Visualization and Model Extraction (TheServerSide) |
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Where did all my beatiful code go? (SpringOne, 2006) |
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Conversations Between Loosely Coupled Systems (SD West, 2006) |
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Enterprise Integration Patterns (JAOO, 2003) |
Hi, I am Gregor Hohpe, co-author of the book Enterprise Integration Patterns. I work on and write about asynchronous messaging systems, distributed architectures, and all sorts of enterprise
computing and architecture topics.
This blog chronicles my journey with asynchronous and distributed system design over
two decades.
These are my Ramblings related to Cloud [See all Ramblings].
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Find my posts on IT strategy, enterprise architecture, and digital transformation at ArchitectElevator.com.
Queues are key elements of any asynchronous system because they can invert control flow. Their ability to re-shape traffic enables high-throughput systems that behave gracefully under heavy load. But all that magic doesn't come for free: to function well, queues require flow control Read more »
When describing messaging systems, it's natural to focus on data flow. However, control flow is what gives those systems their critical runtime properties like resilience or low latency. It's time to make control flow a first-class consideration. Read more »
Event-driven architectures (EDAs) are frequently pitched as loosely coupled, when compared to other forms of integration. Coupling is a multi-faceted and nuanced property, so as architects we should have a closer look. Read more »
Coupling is integration's magic word. Despite entire books being written on the subject, it's still widely recited as a "loose coupling is good" mantra. Coupling deserves better, so let's clarify the dimensions and nuances of coupling. Read more »
Do serverless solutions lock you in? Let's find out by porting / rebuilding the Serverless Loan Broker on top of Google's Cloud Platform (GCP). Read more »
Infrastructure as Code (IaC) brings repeatability into the provisioning and deployment of cloud applications. However, the vocabulary used by most automation tools describes cloud platform resources as compared to the application's intent. As serverless applications take us further away from the infrastructure, we should also find better abstractions to express our automation. Perhaps, Enterprise Integration Patterns give us a head start? Read more »
Infrastructure as Code (IaC) has a whole new meaning for serverless applications. Rather than provision resources (the serverless frameworks do that for us), automation determines the system composition and configuration. As expected, quite a few options are available from simple command line to programming frameworks. Time to have a look. Read more »
Part 3 of the mini-series on implementing the EIP Loan Broker as a serverless solution with AWS Step Functions uses a Publish-Subscribe Channel and a stand-alone Aggregator to request and process loan quotes. Read more »
In part 2 of this blog series I implement the Loan Broker Example using a Recipient List pattern, implemented in DynamoDB, Step Functions, and Lambda. Read more »
A lot has happened since we implemented the Loan Broker Example in EIP: we have the cloud, serverless computing, machine learning, service meshes and all sorts of other bells and whistles. Nevertheless, the integration patterns have passed the test of time as we shall see by implementing the original loan broker example with AWS Lambda and AWS Step Functions. Read more »
After examining which patterns are embedded in Google Cloud Pub/Sub in an earlier post, I implemented a few common patterns on top of Google Cloud Functions, Google's serverless implementation. It's amazing how easy it has become to get messaging patterns running in the cloud with only a minimum of wrapper code. Read more »
IT loves virtualizing stuff, following the old rule that in computer science every problem can be solved by just one more level of indirection. Cloud computing is based on virtualization of compute resources - you don't need to know which machine your application is actually running on and you can get new ones with the click of a button. Before cloud was a buzzword, though, VMware and others have virtualized machines at the operating system levels. Recently (in terms of buzz, not technology), containers bring another level of light-weight virtualization of resources. And let's not forget the Java Virtual Machine, which also claims a level of virtualization. What are we supposed to do with all these levels of virtualization? Read more »
Google released the beta version of their publish-subscribe API just a few weeks ago. I show how to build a very simple demo app using the Java API and map the functionality to integration patterns to illustrate the design choices the team made. Read more »
I joined JavaOne this year as a panelist on Cloud Computing. Here my belated impressions on this year's JavaOne. Read more »
