I am using Cloudify 2.7 with OpenStack Icehouse.
I would like know if Cloudify allows to attach a running Application VM to an existing network.
Does it exist a specific Rest API?
Thank you.
Cloudify 2.7 allows you to specify a compute template which should connect to existing network. An example is available here:
https://gist.github.com/tamirko/8040538#file-computenetwork-groovy
There is no additional API to call - the network setup is declarative.
Please note the Cloudify 2.X has reached end of life and is no longer supported. You should try out Cloudify 3
Related
Oracle JDK is recommended as per the Corda documentation. Corda does not officially support Open JDK.
Refer: Which JDK is best suited for R3 Corda framework
However if we use DockerForm to create Docker image for the Corda node, it internally uses OpenJDK.
Why is it so? I mean, is it just a consistency miss or a deliberate decision?
The license that comes with the Oracle JDK does not allow for redistributing. So they cannot offer a Docker image with the Oracle JDK/JRE on it. You can, however, build one yourself and install Corda on that.
We have 24 Huawei CH242 V3 blade servers and want to setup a private cloud with OpenStack, but we're very new to OpenStack and very lack of experiences about infrastructures. Could somebody kindly give us some useful information about the following question:
What kind of OS is more suitable for those blade servers? Is Linux like CentOS a good choice?
Is it OK(or encouraged) to directly use blade servers as OpenStack controller/compute/storage nodes? Or do we need to use one hypervisor to create many VMs and install OpenStack services on top of VMs?
What're the best practices or suggestions will you want to give beginners?
Maybe some questions are very silly but we're really stuck on the first step, thanks in advance for any information.
Below is my suggestions and there can be more good answers too
What kind of OS is more suitable for those blade servers? Is Linux like CentOS a good choice?
You can try any Linux flavours (OpenSUSE/CentOS/Ubuntu) mentioned in the openstack official site. I personally used Ubuntu for installing openstack.
There are openly available JuJu charms that works on Ubuntu for installing Openstack services. So it will be easy for you to edit the charms and deploy.
Is it OK(or encouraged) to directly use blade servers as OpenStack controller/compute/storage nodes? Or do we need to use one hypervisor to create many VMs and install OpenStack services on top of VMs?
I will prefer VM based installation from your list of choices. I personally suggest you to use containers to deploy your openstack services for better performance.
For compute service, you can go for bare metal installation, but it is upto you.
What're the best practices or suggestions will you want to give beginners?
a. Try installing the same topology/setup as mentioned in the openstack documentation
b. Use recommended databases and AMQP brokers
What kind of OS is more suitable for those blade servers? Is Linux like CentOS a good choice?
I use CentOS7.2, its very stable for openstack. and Ubuntu is also stable which is tried.
Is it OK(or encouraged) to directly use blade servers as OpenStack controller/compute/storage nodes? Or do we need to use one hypervisor to create many VMs and install OpenStack services on top of VMs?
Yes, I do like this, use bare machine as controller/compute/storage, performance good for me, I did not use container like docker.
What're the best practices or suggestions will you want to give beginners?
Because you are new to openstack, I recommend you begin with install openstack, see more logs when you install it. read official website docs is necessary. but you need to notice there are also some errors in the docs, and the configuration also is not optimized, that is just for experiment of private cloud.
If you are skilled at install openstack, then you can read the source code on github, try to contribute the code for it, from fix docs typo.
I have the IBM Business Process Manager Advanced 7.5 installed.
Question:
Is it possible to install and run newer version - IBM BPM 8.5 on the same machine?
I worry about ports conflict (for example port 9043 to IBM Console).
Maybe I should ask how to change default port configuration?
Please help.
Technically it can be possible, however I suggest you do not do this as ibm bpm requires a lot of system resources to run and installing two versions of ibm bpm can make the system slower than ever before.
However I have seen multiple instances of same ibm bpm version running on a single cluster on server VM. This is practically stable and in use from considerable tenure.
PS. - I had administered a huge ibm bpm infra containing 80+ ibm bpm servers.
As Gas already commented, in theory this is possible. But you have to be aware, that IBM BPM is not only using the specified ports for web access, it also uses ports for internal communication. In my opinion, this is not an easy task to get right.
On the other hand, the system requirements for IBM BPM are quite challenging for the server, if You want to run both instances in parallel, you should consider that your server will need to be capable. WebSphere is kind of greedy and not really designed to share its resources ;)
Yes, you can run multiple versions of BPM on the same system. The primary concerns are going to be port conflict and OS system resources. Use the BPMConfig to create a new profile and installation that is on different ports. On my lab machines with VMs, I install all the BPM installs with the default ports and only have one (1) running at a time. If I need 2, I just spin up a new VM from the base template and go from there.
By Default, the port conflicts are addressed by the WebSphere Application server code. If needed you can specify "initialPortAssignment" for Dmgr, node and cluster members while creating the environment using BPMConfig command. You can even specify specific port numbers using the
https://www.ibm.com/support/knowledgecenter/en/SSFPJS_8.6.0/com.ibm.wbpm.ref.doc/topics/samplecfgprops.html
You can also provide Websphere options like "-startingPort starting_port | -portsFile ports_file_path | -defaultPorts" for Dmgr bpm.dmgr.profileOptions= and nodes bpm.de.node.#.profileOptions in the BPMConfig properties file. For cluster members just have option to indicate the starting port.
REf: https://www.ibm.com/support/knowledgecenter/cs/SSAW57_8.5.5/com.ibm.websphere.nd.multiplatform.doc/ae/rxml_manageprofiles.html
I would not advise on changing the port numbers once you start using the BPM environment.
As indicated by others make sure you have enough resources if you are planning to run both environments at the same time.
Yes, I am using two versions for evaluation. Port conflicts can be handled using server (WebSphere Integrated Solutions Console) console or BPMConfig utils.
Good afternoon,
Is it possible to connect to a (Cisco) VPN within a Cloud9 workspace?
One of the projects I'm working on requires connecting to SAP web service provided on the clients closed network, a Cisco dial-in account has been set up to enable me to do this (which works fine from my regular desktop).
Within cloud9 I can install vpnc, but running it gives an error,
sudo vpnc
vpnc: can't initialise tunnel interface: Operation not permitted
Is it just something which isn't supported (atm) in c9? Is it available on Premium accounts? Finally, any suggestions on whether a workaround is possible?
Regards,
Ryan
For security reasons Cloud9 can't allow creating network interfaces in hosted containers. For this to work I'd suggest to use a setup with an external VPN as workspace https://c9.io/site/blog/2014/09/digitalocean/.
I have been looking to use Storm which is available with Hortonworks 2.1 installation but in order to avoid installing Hortonworks in addition to a Cloudera installation (which has Spark in it), I tried to find a way to use Storm in Cloudera.
If one can use both Storm and Spark on a single platform then it will save additional resources required to have both Cloudera and Hortonworks installations on a machine.
You can use storm with Cloudera installation. You will have to install it on your own and maintain it as such. It will not be part of the Cloudera stack but that should not stop you from using it along with Hadoop if you need it.
You can use Storm on any of the vendor platform. However, storm cluster management is something you have to consider. Storm is not part of the CDH distribution. Cloudera Manager does not manage the lifecycle of the storm services and configurations, nor does it monitor the storm cluster, unless you are willing to write a Clouderea Manager extension yourself. On the contrary, if you choose a vendor such as HDP, the Ambari management tool on HDP provides all the above management features.
If you have a streaming project on CDH, you should strongly consider Apache Spark first, as it provides the same programming model for both batch and streaming processing. You do not need to learn a new API. However, Apache Spark streaming is micro-batch. Thus in use cases that requires sub-second low latency real-time processing, Storm is more suitable.
You can use Storm alongside Cloudera.
All the above are true, but why would you?
Spark includes Spark Streaming, which allows you to handle data processing and stream/event processing workloads using a single API. Spark/Streaming is already inside CDH.
So, why burden yourself with two different APIs?
You can install Apache Storm on Cloudera VM.
For a basic setup and test run, follow below link:
https://github.com/vrmorusu/StormOnClouderaVM/wiki/Apache-Storm-on-Cloudera-VM
This should get you started on developing Storm applications on Cloudera VM.