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is there any network monitor for GCP VMs?
I think that my apps is experiencing some network problem, keep on facing JSONP failed request
Thanks in advance
There are many tools that can make network monitoring (and much more). For example, I use Pandora FMS, that allows me to monitor my cloud VMs and my phisical hosts. Using network checks and running local commands in the VMs using the agents, I monitor all I need. Of course It include an alerting system. Take a look on their web, they have both open and enterprise version.
https://pandorafms.com/monitoring-solutions/virtual-server-monitoring/
Hope this helps!
Stackdriver is best for GCP as that has better visibility. There is logging, monitoring, trace, debugger, profile.
links:
https://cloud.google.com/logging | https://cloud.google.com/monitoring | https://cloud.google.com/trace | https://cloud.google.com/debugger https://cloud.google.com/profiler
You can use stackdriver, there are few networking metrics see here
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I've been thinking with my team which solution is the best for deploying Apache Airflow on AWS in terms of cost and performance. We did some research and found out some solutions, among them using Kubernetes (EKS), a machine on EC2 and using ECS (Fargate). But, on Google there isn't so much detailed contents about it. Also, we did some estimates based on our calculations, however, we're not so sure about that. We are looking for a discussion about the trade off of each solution.
So, my question is: is there someone who is going through this or someone who has been through this? And, which is, if exists, the best solution?
In late 2020, AWS announced Amazon Managed Workflows for Apache Airflow (MWAA). It is a fully managed service that makes it easy to run open-source versions of Apache Airflow (including v2) on AWS.
I'd suggest having a read through the documentation to find out more and determine if it meets your requirements.
From my personal experience: I had previously managed an Airflow stack using EC2 and ECS worker pools. Moving over to MWAA has definitely been a better solution & provided a much better user experience.
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As someone who has a laptop with insufficient processing power, I am having a hard time trying to train my neural network models. So, I thought of Amazon Web Services as a solution. But I have a few questions. First of all, as far as I know, Amazon SageMaker supports TensorFlow. I could not understand if the service is free or not though. I have heard some people say that it is free for a specific time, others say that it is free unless you surpass a limit. I would be more than happy if someone could clarify or put forward other alternatives that would help me out.
Thanks a lot!
Google cloud has similar options and they give $300 credit to developers.
Since google is the creator of tensorflow, I am guessing their cloud would be the one most up to date the latest. Try it out.
https://cloud.google.com/ml-engine/docs/pricing
They have a free tier, and this is all well documented at https://aws.amazon.com/sagemaker/pricing/
You should look into EC2 Spot Instances.
There is a market for AWS computing resources with prices rising and falling with supply and demand. You can set a max price as long as you are flexible on the availability. When the prices fall (usually at night), you can take advantage of (big data) computing resources at 90% off.
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/how-spot-instances-work.html
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Well, I want to know the basic of cloud infrastructure for Amazon cloud.
Can anyone help me how I can move ahead with this? and what would be the best for me?
Below mentioned is my requirement:
Project: Java EE based architecture
Deployment Server: Tomcat
DataBase: MySQL
Instance: Amazon ec2 and AWS Elastic Beanstalk (However I'm not sure what is
good for Java related project)
Space: 100 GB for now and it should be salable on the based on instant requirement.
Hosting Server: Linux
Here I want to know every possible things which can be good for initial setup for my production server.
Also, I would like to know what are the services that I need to purchase based on my requirement, and suggest me for the same, also guide me the best prices as well for the specific service.
Looking forward to hear from you everyone guys,
Have a nice time ahead!
Kuldeep
I would recommend you to start with Amazon EC2. For mysql, you can use Amazon RDS as well as it handles all the maintenance activity for DB. Also, you can start with m3.xl machines initially and can upgrade based on requirement.
As per storage is concerned, start with 100GB SSD EBS first . You can anytime attach more storage as needed.
Here are some useful links regarding machine types and costing:
https://aws.amazon.com/ec2/instance-types/?sc_channel=PS&sc_campaign=acquisition_SG&sc_publisher=google&sc_medium=ec2_b&sc_content=sitelink&sc_detail=ec2%20instance&sc_category=ec2&sc_segment=instance_types&sc_matchtype=p&sc_country=SG&s_kwcid=AL!4422!3!154807442051!p!!g!!ec2%20instance&ef_id=WG8jbAAAAIccH41L:20170703093155:s
https://calculator.s3.amazonaws.com/index.html
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We are working on a student cloud app project, hence looking for a free option. Using Google app engine is a requirement.
By default, all Google App Engine apps are free until you make them "paid apps". You can have up to 10 free apps per account. Wether you use Django or not, doesn't matter how free quotas are applied.
Most of the free quota rules relate to a period of 24 hours. Some quotas are different from this rule, in particular those that are in place because of technical limitations. If free quota of a resource or service is depleted, using this resource or service will throw a server error. Free quotas are replenished after the given period has passed (typically every 24 hours).
Original docs: https://cloud.google.com/appengine/docs/quotas?hl=en
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Is there a API for Google Keep? I want to make a windows 8 app for Google Keep, so that it synchronizes with your phone.
I looked into the Drive SDK because Google Keep is a extension of Google Drive, but I couldn't find it.
UPDATE: yes, Google released a public REST API for Keep. Here's the public documentation.
No there's not and developers still don't know why google doesn't pay attention to this request!
As you can see in this link it's one of the most popular issues with many stars in google code but still no response from google! You can also add stars to this issue, maybe google hears that!
I have been waiting to see if Google would open a Keep API. When I discovered Google Tasks, and saw that it had an Android app, web app, and API, I converted over to Tasks. This may not directly answer your question, but it is my solution to the Keep API problem.
Tasks doesn't have a reminder alarm exactly like Keep. I can live without that if I also connect with the Calendar API.
https://developers.google.com/google-apps/tasks/