Agile Cloud-to-Cloud Integration with iPaaS, API Management and Blockchain

Posted in API Management, Blockchain, Cloud, Cloud-Native, Docker, EAI, ESB, Microservices, Middleware on April 23rd, 2017 by Kai Wähner

Cloud-to-Cloud integration is part of a hybrid integration architecture. It enables to implement quick and agile integration scenarios without the burden of setting up complex VM- or container-based infrastructures. One key use case for cloud-to-cloud integration is innovation using a fail-fast methodology where you realize new ideas quickly. You typically think in days or weeks, not in months. If an idea fails, you throw it away and start another new idea. If the idea works well, you scale it out and bring it into production to a on premise, cloud or hybrid infrastructure. Finally, you make expose the idea and make it easily available to any interested service consumer in your enterprise, partners or public end users.

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Trends at JavaOne 2016: Microservices, Docker, Cloud-Native Middleware

Posted in Cloud, Cloud-Native, Docker, ESB, Java / JEE, Microservices, Middleware, SOA on September 23rd, 2016 by Kai Wähner

Like every year, I attended JavaOne (part of Oracle World) in San Francisco in late September 2016. This is still one of the biggest conferences around the world for technical experts like developers and architects.

I planned to write a blog posts about new trends from the program, exhibition and chats with other attendees. Though, I can make it short: Besides focus on Java platform updates (Java 9, Java EE 8, etc.), I saw three hot topics which are highly related to each other: Microservices, Docker and Cloud. It felt like 80% of non-Java talks were about these three topics. The other 20% were Internet of Things (IoT), DevOps and some other stuff. Middleware was also a hot topic. Not always directly, but I was in several talks focusing on integration, orchestration of microservices, (IoT) gateways.

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Comparison of Stream Processing Frameworks and Products

Posted in Analytics, Business Intelligence, Hadoop, In Memory on October 25th, 2015 by Kai Wähner

See how products, libraries, and frameworks that full under ‘streaming data analytics’ use cases are categorized and compared.

Streaming Analytics processes data in real time while it is in motion. This concept and technology emerged several years ago in financial trading, but it is growing increasingly important these days due to digitalization and Internet of Things (IoT). The following slide deck from a recent talk at a conference covers:

  • Real world success stories from different industries (Manufacturing, Retailing, Sports)
  • Alternative Frameworks and Products for Stream Processing
  • Complementary Relationship to Data Warehouse, Apache Hadoop, Statistics, Machine Learning, Open Source R, SAS, Matlab, etc.
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Micro Services Architecture = Death of Enterprise Service Bus (ESB)?

Posted in API Management, Cloud, EAI, ESB, In Memory, Java / JEE on January 8th, 2015 by Kai Wähner

These days, it seems like everybody is talking about microservices. You can read a lot about it in hundreds of articles and blog posts, but my recommended starting point would be this article by Martin Fowler, which initiated the huge discussion about this new architectural concept. This article is about the challenges, requirements and best practices for creating a good microservices architecture, and what role an Enterprise Service Bus (ESB) plays in this game.

Branding and Marketing: EAI vs. SOA vs. ESB vs. Microservices

Let’s begin with a little bit of history about Service-oriented Architecture (SOA) and Enterprise Service Bus to find out why microservices have become so trendy.

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Microservices and DevOps with TIBCO Products

Posted in API Management, Big Data, Cloud, EAI, ESB, SOA on December 29th, 2014 by Kai Wähner

Everybody is talking about Microservices these days. You can read a lot about Microservices in hundreds of articles and blog posts. A good starting point is Martin Fowler’s article, which initiated the huge discussion about this new architecture concept.

For an overview about requirements for a good Microservices architecture, also read this article: “Do Good Microservices Architectures Spell the Death of the Enterprise Service Bus?

Another great resource is an free on-demand webinar by vendor-independent analyst Gartner: “Time to Get Off the Enterprise Service Bus“. It does not even mention the term “Microservices”, but explains its basic motivation and concepts.

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Integration of Amazon Redshift Cloud Data Warehouse (AWS SaaS DWH) with Talend Data Integration (DI) / Big Data (BD) / Enterprise Service Bus (ESB)

Posted in Cloud, EAI, ESB on June 26th, 2013 by Kai Wähner

In this blog post, I will show you how to „ETL“ all kinds of data to Amazon’s cloud data warehouse Redshift wit Talend’s big data components. Let’s begin with a short introduction to Amazon Redshift (copied from website):

„Amazon Redshift is [part of Amazon Web Services (AWS) and] a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. With a few clicks in the AWS Management Console, customers can launch a Redshift cluster, starting with a few hundred gigabytes and scaling to a petabyte or more, for under $1,000 per terabyte per year.
Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.“

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Cloud Computing Heterogeneity will require Cloud Integration – Apache Camel is already prepared!

Posted in Application Server, Cloud, ESB, Java / JEE, SOA on July 9th, 2011 by Kai Wähner

Cloud Computing is the future – if you believe market forecasts from companies such as Gartner. I think so, too. But everybody should be aware that there won’t be one single cloud solution, but several clouds. These clouds will be hosted at different providers, use products and APIs from different vendors and use different concepts (IaaS, PaaS, SaaS). Thus, in the future you will have to integrate these clouds as you integrate applications today.

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