Hi Imesh,

About dynamically adding members to the load balancer, I will cross check
it with auto-scaling. I couldn't look into that from auto-scaling end since
I couldn't test it yet.

about monitoring, yes we can do a POC on that.

thanks,

On Tue, Jul 12, 2016 at 12:53 PM, Imesh Gunaratne <[email protected]> wrote:

> On Tue, Jul 12, 2016 at 12:09 PM, Osura Rathnayake <[email protected]>
> wrote:
>
>> Hi Imesh,
>>
>> About centralized logging, I'm trying to get logs to the Log Analytics
>> using few methods supported in azure. We can either parse logs in to
>> syslogs and send to the Log Analytics or create custom logs specifying the
>> logs location. As you said, logs shouldn't be in .txt extension, I got it
>> clarified from a azure blog. Will update you soon after I could resolve it.
>>
>> ​Right, thanks for the update!​
>
>
>> No you can't dynamically add VMs to the load balancer. Backend pool,
>> where all the VMs reside, should be predefined.
>>
>
> ​Technically that capability should be there. Otherwise we would not be
> able to autoscale a server cluster dynamically.
> ​
>
>
>> you can auto-scale using scale sets(I'm still researching about it),
>> that's the equivalent of AWS auto scaling group . also you can scale up or
>> down a VM if it exceeds a certain parameter like CPU usage, using
>> monitoring rules.
>>
>> *Monitoring *
>>
>>
>> Azure has a native monitoring tool which involves collecting and tracking
>> metrics, analyzing log files, defining custom metrics and logging generated
>> by specific applications or workloads running in Virtual Machines. Azure
>> represents monitored data in a graphical manner using charts. Monitoring
>> also facilitates triggering alarms when certain conditions are met and also
>> it can be configured to take actions on the met conditions. Monitoring is
>> done by the Diagnostic Extension and it has following capabilities.
>>
>> ·         Collects and uploads the system performance information from
>> the Linux VM to the user's storage table, including diagnostic and syslog
>> information.
>>
>> ·         Enables users to customize the data metrics that will be
>> collected and uploaded.
>>
>> ·         Enables users to upload specified log files to a designated
>> storage table.
>>
>> Note: Azure storage tables are a non-relational, key-value-pair, storage
>> system suitable for storing massive amounts of unstructured data.
>>
>>
>> We can add monitor rules so that when an alert triggers it notifies the
>> admins via email. Furthermore we can set to take automated actions. Azure
>> automate actions by running runbooks. A runbook is a set of tasks that
>> perform some automated process in Azure Automation. We can create our own
>> runbooks as well. Available runbooks include,
>>
>> ·         Restart VM
>>
>> ·         Stop VM
>>
>> ·         Remove VM
>>
>> ·         Scale up VM
>>
>> ·         Scale down VM
>>
>> When scaling up it sets the virtual machine to the next larger size
>> within the size group and when scaling down it sets the virtual machine to
>> the next smaller size within the size group.
>>
>> More about runbooks and automation [1]
>>
>
> ​Sounds good, will us be able to do a POC on this?​
>
>
>>
>> *Auto scaling *
>>
>>
>> Auto-scaling is the process of dynamically allocating the resources
>> required by an application to match performance requirements. Virtual
>> machine scale sets are an Azure Compute resource you can use to deploy and
>> manage a set of identical VMs. With all VMs configured the same, VM scale
>> sets are designed to support true auto-scale  no pre-provisioning of VMs is
>> required – and as such makes it easier to build large-scale services
>> targeting big compute, big data, and containerized workloads [2].
>>
>>
>> Note: I couldn’t practically do this as my azure free account lets me
>> have only 4 cores and I have used all of them on my current deployment. I’m
>> getting a new azure account from one of my friends in a day so hopefully I
>> will do this on it and update you.
>>
>
> ​Great! Thanks!​
>
>
>>
>> [1]
>> https://azure.microsoft.com/en-us/documentation/articles/automation-intro/
>>
>> [2]
>> https://azure.microsoft.com/en-us/documentation/articles/virtual-machine-scale-sets-overview/
>>
>>
>> thanks,
>>
>>
>> On Mon, Jul 11, 2016 at 9:54 AM, Imesh Gunaratne <[email protected]> wrote:
>>
>>> On Thu, Jul 7, 2016 at 7:11 PM, Osura Rathnayake <[email protected]>
>>> wrote:
>>>
>>>> Hi Mentors,
>>>>
>>>>
>>>> In addition to refining the membership scheme code, I looked into
>>>> following features of Azure.
>>>> ​
>>>>
>>> ​Good findings Osura, please find few questions inline:​
>>>
>>>
>>>> ​
>>>>
>>>> *Azure dynamic load balancing*
>>>>
>>>>
>>>> Azure has a native load balancer which is very easy to configure. It’s
>>>> a layer 4 (TCP, UDP) load balancer which helps to spread traffic among
>>>> healthy virtual machines. Following are some key terms you need to know.
>>>> ​
>>>>
>>> ​Can members be dynamically added and removed to/from a load balancer?
>>> To check this we may need to explore how autoscaling works. On AWS this is
>>> handled with autoscaling groups [3]
>>>
>>>>
>>>> *Capturing Virtual Machine Images as templates*
>>>>
>>>>
>>>> Azure provides the feature of generalizing and capturing virtual
>>>> machines so that they can be used as templates. This is very useful and
>>>> time saving when the production environment has many instances of the same
>>>> kind of virtual machine. When the virtual machine is being generalized all
>>>> the data in user directories are erased so better to have wso2 product
>>>> directory not in "/home/*". More about this can be found here [2].
>>>>
>>>> Once the virtual machine is captured, it is stored in the storage
>>>> account that is associated with the virtual machine. You can either
>>>> download this or use directly by referring to the URI when you want to make
>>>> other virtual machines with this template. What would be awesome is if we
>>>> can fully configure the virtual machine with a given product and make it
>>>> available to users.
>>>>
>>>>
>>>>
>>> ​Yes, this is mandatory. Otherwise we would not be able to autoscale a
>>> server cluster.
>>>
>>> ​​I'm sorry I may have missed, how did it go with centralized logging?
>>>
>>> [3]
>>> http://docs.aws.amazon.com/autoscaling/latest/userguide/AutoScalingGroup.html
>>>
>>> ​Thanks​
>>>
>>>
>>>> [1]
>>>> https://azure.microsoft.com/en-us/documentation/articles/load-balancer-overview/
>>>>
>>>> [2]
>>>> https://azure.microsoft.com/en-us/documentation/articles/virtual-machines-linux-capture-image/
>>>>
>>>>
>>>> Thanks,
>>>>
>>>> On Wed, Jul 6, 2016 at 12:18 PM, Osura Rathnayake <[email protected]>
>>>> wrote:
>>>>
>>>>> Hi Akila,
>>>>>
>>>>> Please refer to the screenshots that I have attached. When I updated
>>>>> localMemberPort to 4200, I can see it being reflected in logs when members
>>>>> are joining. So should I still make modifications in the code?
>>>>>
>>>>> .gitignore was added.
>>>>>
>>>>> okay I will write test cases in testNG and update
>>>>>
>>>>> thanks,
>>>>>
>>>>> On Wed, Jul 6, 2016 at 9:06 AM, Akila Ravihansa Perera <
>>>>> [email protected]> wrote:
>>>>>
>>>>>> Hi,
>>>>>>
>>>>>> On Tue, Jul 5, 2016 at 11:38 AM, Osura Rathnayake <[email protected]
>>>>>> > wrote:
>>>>>>
>>>>>>> Hi Akila,
>>>>>>>
>>>>>>> Please check the modified code. It now takes the value which is
>>>>>>> specified as localMemberPort in axis2.xml.
>>>>>>>
>>>>>>
>>>>>> I still don't see any change to the logic of how member address is
>>>>>> calculated. Can you double check?
>>>>>>
>>>>>> Please make sure "target/**" directories are ignored from .gitignore.
>>>>>> These shouldn't be in the repo [1]. You might also need to ignore any IDE
>>>>>> specific files. Have a look at .gitignore in Kubernetes artifacts [2].
>>>>>>
>>>>>> I see that you have committed some test cases based on JUnit. Please
>>>>>> note that as a platform we are moving to testng framework so better to 
>>>>>> use
>>>>>> that.
>>>>>> @Imesh, Isuru: Please correct me if I'm wrong.
>>>>>>
>>>>>> Shall we get a repo created under wso2-incubator for this?
>>>>>>
>>>>>> [1]
>>>>>> https://github.com/osuran/azure-membership-scheme/tree/master/target
>>>>>> [2]
>>>>>> https://github.com/wso2/kubernetes-artifacts/blob/master/.gitignore
>>>>>>
>>>>>> Thanks.
>>>>>> --
>>>>>> Akila Ravihansa Perera
>>>>>> WSO2 Inc.;  http://wso2.com/
>>>>>>
>>>>>> Blog: http://ravihansa3000.blogspot.com
>>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Regards,
>>>>> Osura Rathnayake
>>>>>
>>>>
>>>>
>>>>
>>>> --
>>>> Regards,
>>>> Osura Rathnayake
>>>>
>>>
>>>
>>>
>>> --
>>> *Imesh Gunaratne*
>>> Software Architect
>>> WSO2 Inc: http://wso2.com
>>> T: +94 11 214 5345 M: +94 77 374 2057
>>> W: https://medium.com/@imesh TW: @imesh
>>>
>>>
>>
>>
>> --
>> Regards,
>> Osura Rathnayake
>>
>
>
>
> --
> *Imesh Gunaratne*
> Software Architect
> WSO2 Inc: http://wso2.com
> T: +94 11 214 5345 M: +94 77 374 2057
> W: https://medium.com/@imesh TW: @imesh
>
>


-- 
Regards,
Osura Rathnayake
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