I have a small ruby on rails application which i have deployed on an amazon ec-2 instance using capistrano, my instance is a t2.small instance with nginx installed on it and local postgress db installed on the server too. i have a development instance on which i do frequent deployments, recently whenever i try to do a capistrano deployment on my ec-2 instance the cpu-utilization has an enormous spike, usually is its between 20-25% but during deployment for some reason it goes upto 85% which makes my instance unresponsive and i have to do a hard restart on my server to get it back working
I dont know why is this happening and what should i do to solve this because load balancing and auto scaling makes no sense in this scenario as the issue occurs only during deployment
I have attached a screenshot of my server cpu utilization and the 2 high peaks are both when i performed cap deployment
The only solution i can think of is increasing the instance type, but i want to know what other options do i have to solve this. Any help is appreciated, thanks in advance
If this is interim spike (only during installation) and you don't need high CPU during application usage, you may try t2.unlimited approach.
If t2.unlimited couldn't support your need, I think increasing the instance type is the only option left for you.
Related
We run a server architecture where we have an X number of base servers which are always on. Our servers process jobs sent to them and the vast majority of our job requests come in during the workday. To facilitate this particular spike in volume, we use EC2 auto-scaling.
I prefer to launch servers through auto-scaling with as much of a configured AMI as possible as opposed to launching from a base AMI and installing packages through long Chef or Puppet scripts.
In our current build process, we implement changes to our code base late at night when only our base servers are needed and no servers are launched through auto-scaling. But every once in a while, we'll have a critical bug fix that needs to be implemented immediately during the day.
We have a rather large EBS hard drive associated with our servers (app. 400 GB) and AMI creation of a base server with the latest changes usually takes upwards of one hour. This isn't a problem for late night deployments when no additional servers need to be launched, but causes us to lose valuable time during the day because it prevents us from launching additional servers when the latest AMI isn't ready.
Is there anything out there which can speed up the AMI creation process here? I've heard of Netflix's Aminator and Boxfuse, but are there any other alternatives? Also, how do these services stack up against one another?
The instance started to fail on mysql... the mysql stops from nowhere. Then i was re-starting it and it worked again.
But now, it got worse. The transfer rate when i download a file from another instante starts in 900kbps and keep going down till 20kbps. Also for external downloads.
I tested also a zip job, zipping a big file.... it starts quickly then it slows down and keeps a rate of 10 files zipped per second wich is too slow ( another instances gets 1000 files per sec).
I can't access trough http the websites hosted also because its too slow.
I have already reboot, stop->start. Also i made an image e rebuild the image in a new instance and the problem continues. I also changed the Volume used by the instance and the volume with the problem keeps slow.
What should i do?
I'll take a stab (based on the lack of details), that your instance is just to small - sounds like you are running a web server and mysql on it at least, I'll also bet that you are trying to use a micro instance which have notoriously variable performance statistics and really aren't suitable for running a web server and database server with consistent performance (maybe ok for development, but not production imo).
Try just spinning up a larger instance and see if your problems magically go away; you can test this for a few dollars and if it does solve the problem you can decide if you can permanently upgrade the image size.
I used elastic beanstalk to manage/deploy my .NET MVC 3 application on an EC2 micro instance (has 613 MB memory). It's mainly a static site for now as it is in Beta with registration (including email confirmation) and some error logging (ELMAH).
It was doing fine until recently, I keep getting notifications of CPU Utilization greater than 95.00%.
Is the micro instance with 613MB memory not enough to run an MVC application for Production use?
Added info: Windows Server 2008 R2, running IIS7.5
Thanks!
I've tried running Jetbrains teamcity (which uses Tomcat I think) and was on a linux box using an ec2 micro instance and there wasn't enough memory available to support what it needed.
I did try running a server 2008/2012 box on a micro instance as well and it was pointless took minutes to open anything.
I think you're going to find that running windows on one of those boxes isn't really a viable option unless you start disabling services like crazy and get really creative with you're tweaking.
A micro instance is clearly not enough for Production.
The micro instances have a low I/O limit, and once this limit is reached (for the month I think), all later operations are throttled.
So, I advise you to use at least a small instance for production. And keep your micro for your dev/test/preprod environments!
Edit: I got those info from an Amazon guy.
Make sure your load balancer is pinging a blank html file. I got that message because it was pinging my home page which had db loads. When I set it to ping a blank html file it ran smoothly
I'm writing the backend for a mobile app that does some cpu intensive work. We anticipate the app will not have heavy usage most of the time, but will have occasional spikes of high demand. I was thinking what we should do is reserve a couple of 24/7 servers to handle the steady-state of low demand traffic and then add and remove EC2 instances as needed to handle the spikes. The mobile app will first hit a simple load balancing server that does a simple round-robin user distribution among all the available processing servers. The load balancer will handle bringing new EC2 instances up and turning them back off as needed.
Some questions:
I've never written something like this before, does this sound like a good strategy?
What's the best way to handle bringing new EC2 instances up and back down? I was thinking I could just create X instances ahead of time, set them up as needed (install software, etc), and then stop each instance. The load balancer will then start and stop the instances as needed (eg through boto). I think this should be a lot faster and easier than trying to create new instances and install everything through a script or something. Good idea?
One thing I'm concerned about here is the cost of turning EC2 instances off and back on again. I looked at the AWS Usage Report and had difficulty interpreting it. I could see starting a stopped instance being a potentially costly operation. But it seems like since I'm just starting a stopped instance rather than provisioning a new one from scratch it shouldn't be too bad. Does that sound right?
This is a very reasonable strategy. I used it successfully before.
You may want to look at Elastic Load Balancing (ELB) in combination with Auto Scaling. Conceptually the two should solve this exact problem.
Back when I did this around 2010, ELB had some problems with certain types of HTTP requests that prevented us from using it. I understand those issues are resolved.
Since ELB was not an option, we manually launched instances from EBS snapshots as needed and manually added them to an NGinX load balancer. That certainly could have been automated using the AWS APIs, but our peaks were so predictable (end of month) that we just tasked someone to spin up the new instances and didn't get around to automating the task.
When an instance is stopped, I believe the only cost that you pay is for the EBS storage backing the instance and its data. Unless your instances have a huge amount of data associated, the EBS storage charge should be minimal. Perhaps things have changed since I last used AWS, but I would be surprised if this changed much if at all.
First with regards to costs, whether an instance is started from scratch or from a stopped state has no impact on cost. You are billed for the amount of compute units you use over time, period.
Second, what you are looking to do is called autoscaling. What you do is setup up a launch config that specifies an AMI you are going to use (along with any user-data configs you are using, the ELB and availiabilty zones you are going to use, min and max number of instances, etc. You set up a scaling group using that launch config. Then you set up scaling policies to determine what scaling actions are going to be attached to the group. You then attach cloud watch alarms to each of those policies to trigger the scaling actions.
You don't have servers in reserve that you attach to the ELB or anything like that. Everything is based on creating a single AMI that is used as the template for the servers you need.
You should read up on autoscaling at the link below:
http://aws.amazon.com/autoscaling/
We're running a lightweight web app on a single EC2 server instance, which is fine for our needs, but we're wondering about monitoring and restarting it if it goes down.
We have a separate non-Amazon server we'd like to use to monitor the EC2 and start a fresh instance if necessary and shut down the old one. All our user data is on Elastic Storage, so we're not too worried about losing anything.
I was wondering if anyone has any experience of using EC2 in this way, and in particular of automating the process of starting the new instance? We have no problem creating something from scratch, but it seems like it should be a solved problem, so I was wondering if anyone has any tips, links, scripts, tutorials, etc to share.
Thanks.
You should have a look at puppet and its support for AWS. I would also look at the RightScale AWS library as well as this post about starting a server with the RightScale scripts. You may also find this article on web serving with EC2 useful. I have done something similar to this but without the external monitoring, the node monitored itself and shut down when it was no longer needed then a new one would start up later when there was more work to do.
Couple of points:
You MUST MUST MUST back up your Amazon EBS volume.
They claim "better" reliability, but not 100%, and it's SEVERAL orders of magnitude off of S3's "12 9's" of durability. S3 durability >> EBS durability. That's a fact. EBS supports a "snapshots" feature which backs up your storage efficiently and incrementally to S3. Also, with EBS snapshots, you only pay for the compressed deltas, which is typically far far less than the allocated volume size. In another life, I've sent lost-volume emails to smaller customers like you who "thought" that EBS was "durable" and trusted it with the only copy of a mission-critical database... it's heartbreaking.
Your Q: automating start-up of a new instance
The design path you mention is relatively untraveled; here's why... Lots of companies run redundant "hot-spare" instances where the second instance is booted and running. This allows rapid failover (seconds) in the event of "failure" (could be hardware or software). The issue with a "cold-spare" is that it's harder to keep the machine up to date and ready to pick up where the old box left off. More important, it's tricky to VALIDATE that the spare is capable of successfully recovering your production service. Hardware is more reliable than untested software systems. TEST TEST TEST. If you haven't tested your fail-over, it doesn't work.
The simple automation of starting a new EBS instance is easy, bordering on trivial. It's just a one-line bash script calling the EC2 command-line tools. What's tricky is everything on top of that. Such a solution pretty much implies a fully 100% automated deployment process. And this is all specific to your application. Can your app pull down all the data it needs to run (maybe it's stored in S3?). Can you kill you instance today and boot a new instance with 0.000 manual setup/install steps?
Or, you may be talking about a scenario I'll call "re-instancing an EBS volume":
EC2 box dies (root volume is EBS)
Force detach EBS volume
Boot new EC2 instance with the EBS volume
... That mostly works. The gotchas:
Doesn't protect against EBS failures, either total volume loss or an availability loss
Recovery time is O(minutes) assuming everything works just right
Your services need to be configured to restart automatically. It does no good to bring the box back if Nginx isn't running.
Your DNS routes or other services or whatever need to be ok with the IP-address changing. This can be worked around with ElasticIP.
How are your host SSH keys handled? Same name, new host key can break SSH-based automation when it gets the strong-warning for host-key-changed.
I don't have proof of this (other than seeing it happen once), but I believe that EC2/EBS _already_does_this_ automatically for boot-from-EBS instances
Again, the hard part here is on your plate. Can you stop your production service today and bring it up RELIABLY on a new instance? If so, the EC2 part of the story is really really easy.
As a side point:
All our user data is on Elastic Storage, so we're not too worried about losing anything.
I'd strongly suggest to regularly snapshot your EBS (Elastic Block Storage) to S3 if you are not doing that already.
You can use an autoscale group with a min/max/desired quantity of 1. Place the instance behind an ELB and have the autoscale group be triggered by the ELB healthy node count. This allows you to have built in monitoring by cloudwatch and the ELB health check. Anytime there is an issue the instance be replaced by the autoscale service.
If you have not checked 'Protect against accidental termination' you might want to do so.
Even if you have disabled 'Detailed Monitoring' for your instance you should still see the 'StatusCheckFailed' metric for your instance over which you can configure an alarm (In the CloudWatch dashboard)
Your application (hosted in a different server) should receive the alarm and start the instance using the AWS API (or CLI)
Since you have protected against accidental termination you would never need to spawn a new instance.