We have all done it. When SSH asks us this familiar question:

$ ssh redpilllinpro01.ring.nlnog.net The authenticity of host 'redpilllinpro01.ring.nlnog.net (2a02:c0:200:104::1)' can't be established. ECDSA key fingerprint is SHA256:IM/o2Qakw4q7vo9dBMLKuKAMioA7UeJSoVhfc5CYsCs. Are you sure you want to continue connecting (yes/no/[fingerprint])? 

…we just answer yes - without bothering to verify the fingerprint shown.

Many of us will even automate answering yes to this question by adding StrictHostKeyChecking accept-new to our ~/.ssh/config ... [continue reading]

These are essentially my notes on setting up a single-node Kubernetes cluster at home. Every time I set up an instance I have to dig through lots of posts, articles and documentation, much of it contradictory or out-of-date. Hopefully this distilled and much-abridged version will be helpful to someone else.

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In our project, we have successfully implemented SAML (Security Assertion Markup Language) 2.0 with our Alfresco Content Service v5.2.0. We use AD(Active Directory) to sync users and groups into Alfresco System.

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When developing software it makes sense to be able to work on local files, while the source code should be served from a controlled environment (a container) to prevent pollution of the developer workstation.

In this article I will describe the evolution of a development workflow for deploying applications on OpenShift. The ultimate goal is to make it possible to maximize dev/prod parity, while minimizing the idle time in the change/test cycle.

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The 12-factor app presents a number of guidelines to achieve DevOps compliancy. One of the guidelines specifies dev/prod parity, which in OpenShift can be implemented by re-using a single container image for all steps within an applications lifecycle. Here we will describe how dev/prod parity can be achieved within OpenShift by using the pipeline support of the OpenShift BuildConfig object type.

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This post will show you how to get started with using Terraform, an open-source tool that lets you build your infrastructure using code.

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We build our network in order to simultaneously achieve high availability and maximum utilisation of available bandwidth. To that end, we are using Multi-Chassis Link Aggregation (MLAG) between our data centre switches running Cumulus Linux and our firewall cluster ... [continue reading]

Mule 4 will be released soon. Along with Mule 4 a new Mule SDK is relased which can be used to extend the functionality of Mule with custom modules. The Mule SDK replaces Devkit for developing connectors.

Documentation on the Mule SDK can so far ... [continue reading]

Jenkins Pipeline is a suite of plugins which supports implementing and integrating continuous delivery pipelines into Jenkins. I will be using this to deploy a Mule application to Anypoint Platform Runtime Manager and store the delivery in ... [continue reading]

The Raspberry Pi 3 is the third generation Raspberry Pi, on this I will be installing Mulesoft enterprise runtime with latest Java 8 running inside Kubernetes. The pods will register themselves with Anypoint platform runtime manager. This ... [continue reading]