Logs for analysis and monitoring
1. Logs for analysis and monitoring
They say that knowledge is power. In this video, you'll learn about logs in Google Cloud. You’ll understand the different types of logs available and find out why log retention is important. You'll also discover how logs can be used for analysis and monitoring, and how to manage retention policies using these logs effectively. Let’s get started. To get started with logs, you need to know the four foundational terms associated with logging. First, a log is a record of events that occur within an organization’s systems. Second, log analysis is the process of examining logs to identify events of interest. Third, logging is the recording of events occurring on computer systems and networks. And fourth, log management is the process of collecting, storing, analyzing, and disposing of log data. There are several ways logs can be used. For example, log analysis analyzes logs for patterns and trends to identify potential security issues. Setting up monitoring alerts based on specific log events notifies security teams of potential incidents. It’s also important for teams to regularly test the monitoring to ensure its effectiveness. Maintaining retention policies ensures logs are retained for the required duration to meet compliance and security needs. And threat detection proactively detects and mitigates security threats based on log data and analytics. Logging contributes to security monitoring and incident detection by providing valuable information about activities within systems. By analyzing logs, security teams can identify suspicious patterns, detect potential security breaches, and investigate incidents. In Google Cloud a variety of log types are generated, each serving a unique purpose. Types of logs include: admin activity audit logs, data access audit logs, system event audit logs, and policy denied audit logs. Let’s explore each of these log types in detail to help you better understand their functions and use cases. Admin activity audit logs provide a view into the activities of administrators and other authorized individuals. These logs track who did what, when, and where. Actions like creating databases, deleting instances, or changing permissions would be found here. Here’s an example of an admin activity audit log: '[email protected]' created a new table in Google Cloud Bigtable. The log entry shows the user performed a 'CreateTable' operation in Bigtable service. Now let’s explore data access audit logs. Data access audit logs record API calls that create, modify, or read user-provided data. In other words, these logs tell when data is created, modified, and read, and by whom. Examples of these activities include Google Cloud Storage object accesses and Datastore database reads and writes. Here's an example of a data access audit log, which records a specific event. The code is a JSON representation of a data access audit log entry from Google Cloud. In this case, the event is a ReadRows operation in Google Cloud Bigtable. Next are system event audit logs. System event audit logs report changes to your system's configurations and settings. Some examples of changes to a system include alterations to the settings of a cloud service. These logs provide invaluable information that can be used to detect anomaly behaviors in systems. Here’s an example of a system event audit log. This is a JSON snippet from a Google Cloud Audit Log, which records system events for Google Cloud resources. Simply put, this log shows that a migration of a Compute Engine instance took place because of host maintenance. And finally, there are policy denied audit logs. Policy denied audit logs capture instances where requests were denied because of existing IAM policies. Unauthorized access attempts and modification requests by users without the required permissions can be found here. These logs provide a strong audit trail of any failed access requests. Here's an example of a policy denied audit log in Google Cloud. This log documents a denied attempt to start a compute instance using the iam.serviceAccounts.actAs permission on my-project. It effectively tracks unauthorized actions for security and compliance purposes. Understanding the four crucial types of logs in Google Cloud can help manage systems and improve cloud cybersecurity. Now, let’s dive into the log lifecycle and retention. Logs follow a lifecycle that includes generation, storage, analysis, and eventual expiration. Log retention is an important part of the log lifecycle as it's used to preserve logs for a specific period to meet regulatory requirements and facilitate historical research. Retained logs can be used to investigate past incidents, identify trends, and improve security posture. With Google Cloud, users can decide how long to store their logs. Based on the needs of their organization, users can balance the cost of storage and the need for past data. Users also might choose to save their logs to cold storage or store them offline. With these options, if a security breach lasts longer than an organization’s usual log storage period, it won't lose access to vital log information. So, where are logs located in Google Cloud? Logs in Google Cloud can be found in various locations. These locations include the Logging section of the Google Cloud Console, Cloud Operations, and BigQuery. Security Information and Event Management, or SIEM systems, like Chronicle, can aggregate logs from different sources, providing a centralized platform for log analysis and security monitoring. In this video, you learned about logging and log retention, the different types of logs in Google Cloud, and how logs can be used for analysis, monitoring, and maintaining retention policies. With this knowledge, you can effectively manage and secure your cloud environment.2. Let's practice!
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