Where are cloud logs stored?

How do I check my GCP activity log?

Google Cloud Platform provides a web based console which is accessible via the URL It is best to use the web browser to access the console.

The GCP Activity log is also accessible via the Google API Explorer, which is accessible from the URL There are a few different views you can use within the Google API Explorer to monitor your logs: What are the differences between all three? The following table describes the key differences between these three views: View. Description. Overview. Displays a summary of the log entries in a single page. Filters the log entries to display only those matching the specified filters. You can apply filters to filter by the log type, the operation type, the event level, the date range, the resource name, the user, or the IP address.

Table. Displays the log entries in a table. You can filter the log entries by the column headings.

Export. Export the specified log data as a CSV file. What are the columns in the Activity Log View? You can filter by the following columns in the activity log view: Operation Type. This column contains one of the following values: Batch. Applies to batch operations. For example, you can use a batch operation to delete multiple resources at once.

Deploy. Applies to deploy operations. For example, you can use a deploy operation to deploy a new version of an application.

Delete. Applies to delete operations. For example, you can use a delete operation to delete an application.

Applies to get operations. For example, you can use a get operation to query an application's configuration parameters.

Inspect. Applies to inspect operations. For example, you can use an inspect operation to view the status of an application's components.

Applies to run operations. For example, you can use a run operation to start a new deployment.

Start. Applies to start operations. For example, you can use a start operation to start an instance of a service.

What is logs Explorer in GCP?

We are going to discuss in this article about logs Explorer in GCP and the way in which it helps to get to know the traffic pattern, the traffic volumes and the other statistics of your applications.

It can be used for internal monitoring of application and system. It has some features that provide information on the performance of an application, CPU usage, Memory usage, network traffic and other useful information about your applications.

Nowadays, GCP is one of the most important cloud platforms. It's a service that provides its customers with a large and versatile variety of resources, from servers to storage, computing resources, networking capabilities, databases and so on. The most common application of GCP is a cloud platform, allowing developers to run their applications on it.

The first step of a developer who wants to understand the system resources available in GCP is a check of Google Cloud Console. In this case, he will notice that Google Cloud Platform provides a number of interesting statistics on the systems and applications running there. These statistics are stored in the web browser, which you can see in this image (logs Explorer).

By clicking on the Logs Explorer link, the web browser opens a page where you can find all the statistical data you want: the type of your GCP project, the amount of traffic recorded (according to time interval), the type of information that you want to record in your application, such as number of CPU cores, etc. This list does not end: each parameter you can view in this list is accompanied by a link to find additional details about them.

The process of adding logs in Google Cloud Console is extremely simple: first, you need to log in to your console. After signing in, click on the Dashboard tab. Click on the Add resource menu and then choose Create new project. A new page opens.

You need to use the Project name field. Give it a descriptive name. And, of course, fill in the other fields. For example, fill in the project location and description. The last field, that is responsible for the Logging options will create a new type of resource in your Cloud Console - a Logging resource.

The next step is to go to the Logs Explorer page. Fill in the necessary information in the form.

Where are cloud logs stored?

What is the default storage size of logs?

What size storage will CloudWatch create if you do not specify an option? Answers to the above questions are detailed below. Can I change storage size? Yes, you can add more disks to Amazon EBS and change the storage size when creating the log group. Note that AWS Elastic Beanstalk sets aside as much storage as it thinks you need for log files and the ElasticBeanstalk service itself runs in ephemeral storage. This means that your instance's primary storage - all the disk space allocated to your EC2 instance - won't be used by Elastic Beanstalk. To ensure that your instance has enough free space to run in production, consider deleting unneeded applications or deleting the Amazon Machine Image (AMI).

The log group creation prompts include this note: Note that storage size will be doubled when you delete data and log group size cannot exceed the current size. This is not a requirement of Elastic Beanstalk - it is a feature of Amazon S3. If you don't choose this option, AWS Elastic Beanstalk allocates space for your logs using the default settings specified in the CloudWatch service description. In these cases, the storage size will be large enough to store logs for many months, but small enough to only use a few gigabytes.

You can only set up a minimum of 1 GB of storage. If you want more storage than this, you must create an additional log group.

Log groups with larger sizes can be created using the CreateLogGroup API call but a new log group must be created in order for S3 to use more storage. This is done in the background once you create a log group. Elastic Beanstalk uses a background process called the Elastic Beanstalk Job Scheduler which will periodically delete old logs when they are no longer being referenced in an application environment. The job runner creates another log group, if needed, to ensure that there is enough storage available to hold your logs. In some situations, this could lead to an imbalance between log generation and storage. For more information about the Job Scheduler process, see Monitor and Manage Application Jobs on your EC2 Instance.

I know that the default size for storage is 500 MB but I'd like to have some room to grow. Is this possible? Unfortunately, this isn't possible.

How to view Google Cloud logs?

While logging into Google Cloud console using your username and password, you might have come across the logs of the services in your account.

The below example shows a request that was made by the user when logged into Google Cloud console using a browser.

I'll be using Google Cloud platform here for the reference purpose only. You can use this article with any services or tools that are provided by Google Cloud Platform. If you are not comfortable with this, you can refer to the official documentation.

Let's see . Step 1: Open your Google Cloud console. The first step is to open the cloud console by navigating to. Step 2: Create a service. A service is the name of the project where the logs are stored and maintained. To create a new service, click on the Create a new service tab in the dashboard. Give the name of your project and click on Create button to create the service. Step 3: View Google Cloud logs. To view Google Cloud logs, navigate to the Cloud Logging section. When you click on it, you'll be taken to a page with three tabs: Activity logs: All the logs of a service are collected in this tab. In the screenshot above, we have a request made to the API and the response received. You can view the request's HTTP method, headers, parameters, status codes and many more.

Response logs: All the logs of a service are collected in this tab. In the screenshot above, we have the response logs of the API request.

Health alerts: All the alerts generated by your service are collected in this tab. In the screenshot above, we have an alert that says No data found.

Go through the logs carefully and explore all the things that you can do with them. Google Cloud Logs are very handy for debugging the issue that you're facing with your application. It is important to keep logs in a log management system that can make it easy to analyse your logs and find the root cause of the issue.