Dedicated bluemix very slow - ibm-cloud

Since last week, dedicated Bluemix is working very slow and sometimes throws a timeout on conection with dashDB, so i wanted to ask if is it a problem with bluemix in general, or we have an issue with our dashDB?
Thanks.

Related

AWS EC2 free tier instance is automatically stopping frequently

I am using ubuntu 18.04 on AWS EC2 instace free tier, running websites on apache server, NodeJS with PostgreSQL database. All deployments are done perfectly and webapps works fine without any exception or error details.
However I am facing an annoying issue: this instance is stopping frequently without any exception or error logs. After rebooting instance everything starts working fine but after some time it automatically stops either in few hrs. on same day when rebooted instance or in 1-2 days after that.
I created another free tier instance with seperate account and that is also giving same issue. I am not finding any logs or troubleshoot option to get rid of this problem.
I would like to know how it can be troubleshooted or where can i find logs of any errors or exception for this isntance?
Suggestion given by AWS in "Instance Status Checl" as attached below are not practicle solution to apply evertime.
Something with your VM itself is causing its health checks to fail.
Have a look at syslogs, and your application logs. Also take a look at CloudWatch metrics to see if any metrics have dramatic change close to time.
You can also add a CloudWatch alarm with a recovery action to automatically reboot if there’s an issue with your VM.

Google Cloud SQL unable to connect and restart master instance

This morning my application could not connect my MySQL master instance in Google Cloud SQL. The master instance does not have more logs, but the replication instance log show that the replication could not connect to the master too.
I tried to restart MySQL, but an hour later, it didn't start.
What should I do?
There are several possible reasons for this issue. For instance, your master instance may have failed due to an error while a dump was being created, or the instance may have been under maintenance and now it cannot restart correctly, etc. If that were the case, you would need to get in touch with Google Cloud Platform Support to have your Cloud SQL instance manually restarted.
Alternatively, you can also check the documentation for instance connection issues and how to diagnose issues in connections.
If nothing of this applies to your case, you should consider adding more information to your question, since there could be a problem with the expiration of your SSL server certificate, with the Proxy, etc.

Cannot create Service Fabric Cluster in Azure Portal

I can't start creating service fabric cluster.
When starting creation portal always shows "Rainy Cloud" and nothing can be inserted?
Thanks for reporting this, we found a problem in the portal that may be causing this. We'll be rolling out a fix in the next few days.
BTW, we have a repo on GitHub that you can use to report issues like this for a faster response: https://github.com/Azure/service-fabric-issues

Dynamically deploying Jenkins slaves on google compute engine for github commits

This is a question of integration:
I would like to run Jenkins on Google Compute Engine. I can do this, but I will quickly break my budget if I leave an 8-core virtual machine running at all times. As a solution, I think I can leave a micro instance with a low amount of memory powered on and acting as the jenkins master running at all times. It seems that I should be able to configure github to startup a jenkins slave (with 8 cores) whenever a push is performed. How do I connect github post-commit hooks to Google Compute Engine to achieve this? A complete answer is probably asking too much, but even just pointers to the relevant documentation would be helpful.
Alternatively, how would you solve my problem?
You can run an AppEngine instance and use the URL it provides as the target of your GitHub on-commit web hook. This way, you won't be charged unless the instance is actually running, which may even be cheaper than running a micro instance 24x7 on Compute Engine.
You can then start/stop instances on Compute Engine or trigger actions on them from your code running on App Engine.
Here's a related question which has an answer for how to authenticate to Compute Engine from code running on AppEngine.
I ended up using a preemptible instance that automatically gets restarted every few minutes. I had to setup the instance manager to perform this restart, and I had to use the API, since this is a bit of an advanced and peculiar use of the features.

Deploy Zend Application to the cloud

Was wondering if anyone out there has any experience in deploying a Zend community app to the cloud (e.g. AWS or similar)?
I'm new to cloud hosting having always been fortunate enough in the past to work for folks who have dedicated servers, my main concern (non-zend specific) is how you manage resilience at the database level? FOr example I would in a traditional setup have 2 boxes running the DB (Mysql) in Master/Slave mode with the master replicating to the slave. Assuming any HD failure of the Master I could swap the DB connection over from the Master to the slave and rebuild master at a later point? is this done differently in the cloud?
Any help/pointers greatly appreciated?
It depends on the type of cloud service that you use. If you're using AWS to get your own virtual machine ( Amazon EC2 ) then it's basically the same as having a dedicated server and you can keep a master slave setup and work them much the same way.
However, if you plan on using Amazon's cloud database service ( Amazon Simple DB ) then you don't have to worry about masters and slaves since Amazon does this for you and makes sure that you always have access to your data. The only thing is that it's in beta.
One of the points of the cloud is to take your mind off the hardware. Amazon worries about that.
You might still want to have two virtual machines in case amazon is doing maintenance that might cause your vm to become unavailable, however, Amazon stresses that it would be highly available and never go down really, so long as you pay.