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    which service requires a logging agent installed to collect and send logs to cloud operations?

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    About the Logging agent

    Operations Suite Logging Documentation Guides Was this helpful?

    About the Logging agent

    Key Point: While this agent is still supported, we recommend that you use the Ops Agent for new Google Cloud workloads and eventually transition your existing Compute Engine VMs to use the new agent. The Ops Agent, which combines the collection of metrics and logging into a single agent, is the eventual replacement for the existing agents.

    This guide provides basic information about the Logging agent , an application based on fluentd that runs on your virtual machine (VM) instances.

    In its default configuration, the Logging agent streams logs from common third-party applications and system software to Logging; review the list of default logs. You can configure the agent to stream additional logs; go to Configure the Logging agent for details on agent configuration and operation.

    It is a best practice to run the Logging agent on all your VM instances. The agent runs under both Linux and Windows.

    If you are running specialized logging workloads that require higher throughput and/or improved resource-efficiency compared to the standard Cloud Logging agent, consider using the Ops agent.

    To install the Logging agent , see Installing the Logging agent .

    Supported operating systems

    You can run the Logging agent on the following operating systems on compatible virtual machine (VM) instances:

    CentOS 7 and 8 Rocky Linux 8

    Red Hat Enterprise Linux 7 and 8

    Debian 9 "Stretch", 10 "Buster", and 11 "Bullseye"

    Ubuntu LTS 18.04 (Bionic Beaver) and LTS 20.04 (Focal Fossa)

    Ubuntu Minimal LTS 18.04 (Bionic Beaver) and LTS 20.04 (Focal Fossa)

    SUSE Linux Enterprise Server 12, 12 SP3 for SAP, 12 SP4 for SAP, and 12 SP5 for SAP

    SUSE Linux Enterprise Server 15, 15 SP1 for SAP, 15 SP2 for SAP, 15 SP3 for SAP, and 15 SP4 for SAP

    OpenSUSE Leap 15, 15.2, 15.3 and 15.4

    Windows Server 2012 R2, 2016, and 2019

    Windows Server Core 2012 R2, 2016, and 2019

    Amazon Linux AMI (except Amazon Linux 2.0 AMI)

    If you're running Container-Optimized OS VMs, then follow the Container-Optimized OS instructions for collecting logs from your VMs.

    Supported environments

    The Logging agent is compatible with the following environments:

    Compute Engine instances. The Logging agent sends the logs to the project associated with each VM instance.

    For instances without external IP addresses, you must enable Private Google Access to allow the Logging agent to send logs.

    Amazon Web Services Elastic Compute Cloud (AWS EC2) instances. The Logging agent sends the logs to the AWS connector project that links your AWS account to Google Cloud services.

    For the Logging agent to function correctly, the Amazon EC2 instance it runs on must be able to communicate with Google Cloud APIs, particularly the Logging API. This requires either an external IP address or a VPC internet gateway.

    Note: The standard Logging agent isn't supported on on-premise machines. However, Anthos clusters on VMware comes with a version of the agent already installed and ready to use.

    For these VM instances, a minimum of 250 MiB of resident (RSS) memory is required to run the Logging agent , but 1 GiB is recommended. For example, at a rate of 100 1-KB-sized log entries per second, the Logging agent with default configurations consumes 5% CPU on one core and 150 MiB memory.

    The following VM instances support Logging using their own software, so manually installing the Logging agent on them is not supported:

    App Engine standard environment instances. App Engine includes built-in support for Logging. For more information, go to Writing application logs.

    App Engine flexible environment instances. Apps running in the App Engine flexible environment can write logs that are in addition to what is included in the App Engine standard environment. For more information, go to Writing application logs.

    Google Kubernetes Engine node instances. You can enable Cloud Operations for GKE, an integrated monitoring and logging solution, for your new or existing container clusters.

    For instances running on Anthos clusters on VMware, the agent collects system logs but doesn't collect application logs.

    Cloud Run container instances. Cloud Run includes built-in support for Logging. For more information, go to Logging and viewing logs.

    Cloud Functions HTTP and background functions. Cloud Functions includes built-in support for Logging. For more information, go to Writing, Viewing, and Responding to Logs.

    Support for on-premise and hybrid clouds

    Google Cloud partners with Blue Medora to provide logging services for on-premise and hybrid cloud platforms in a consistent and predictable way. Using Blue Medora, you can collect your own data and send it to Logging for analysis. Blue Medora's Bindplane integrates with Cloud Logging to capture data from your infrastructure and is included with your project at no additional cost.

    For more information about Blue Medora, go to About Blue Medora.

    Agent access requirements

    Running the agent requires access to the following DNS names:

    OAuth2 token server: oauth2.googleapis.com

    स्रोत : cloud.google.com

    GCP Essential Infrastructure Core Services wk2 Logging Flashcards

    Study with Quizlet and memorize flashcards containing terms like Stackdriver logging, Stackdriver Error Reporting, Tracing is another Stackdriver feature integrated into GCP. and more.

    GCP Essential Infrastructure Core Services wk2 Logging

    5.0 (2 reviews) Term 1 / 10 Stackdriver logging

    Click the card to flip 👆

    Definition 1 / 10

    1. allows you to store, search, analyze, monitor, and alert on logged data and events from GCP and AWS.

    2. Logging includes storage for logs, a user-interface called the logs viewer, and an API to manage logs programmatically.

    3. Log search/view/filter

    4. Log-based metrics

    5. Monitoring alerts can be set on log events

    6. Logs only retained for 30 days, but can be exported to Cloud Storage, Big Query and Cloud Pub/Sub

    7. Exploiting logs to BigQuery allows you to analyze logs and even visualize them in Data Studio.

    8. BigQuery runs extremely fast SQL queries on gigabytes to petabytes of data.

    9. Pub/Sub This enables you to stream logs to applications or endpoints.

    10. Installing logging agent is the best practice

    Click the card to flip 👆

    Created by doggo_dogga

    Terms in this set (10)

    Stackdriver logging

    1. allows you to store, search, analyze, monitor, and alert on logged data and events from GCP and AWS.

    2. Logging includes storage for logs, a user-interface called the logs viewer, and an API to manage logs programmatically.

    3. Log search/view/filter

    4. Log-based metrics

    5. Monitoring alerts can be set on log events

    6. Logs only retained for 30 days, but can be exported to Cloud Storage, Big Query and Cloud Pub/Sub

    7. Exploiting logs to BigQuery allows you to analyze logs and even visualize them in Data Studio.

    8. BigQuery runs extremely fast SQL queries on gigabytes to petabytes of data.

    9. Pub/Sub This enables you to stream logs to applications or endpoints.

    10. Installing logging agent is the best practice

    Stackdriver Error Reporting

    1. counts, analyses and aggregates the errors in your running Cloud services.

    2. A centralized Error Management interface displays the results with sorting and filtering capabilities and you can even set up real-time notifications when new errors are detected.

    3. As of this recording, Stackdriver Error reporting is generally available for the App Engine standard environment and is a beta feature for App Engine flexible environment, Compute Engine and AWS EC2.

    Tracing is another Stackdriver feature integrated into GCP.

    1. distributed tracing system that collects latency data from your applications and displays it in the GCP console.

    2. You can track how request propagate through your application and receive detailed, near real-time performance insights.

    3. generate in-depth latency reports that surface performance degradations and can capture traces from App Engine, HTTP load balancers, and applications instrumented with the Stackdriver Trace API.

    Stackdriver Debugger

    1. a feature of GCP that lets you inspect the state of a running application in real time, without stopping or slowing it.

    2. the Debugger adds less than 10 milliseconds to the request latency when the application state is captured.

    Debugug snapshot

    1. Capture call stack and local variables of a running application

    Debug logpints

    Inject logging into a service without stopping it

    Which service requires a logging agent installed to collect and send logs to Stackdriver?

    Compute Engine

    Which service(s) are currently supported by Stackdriver Error Reporting?

    App Function standard/flexible, VM, Kubernates

    What would not be considered a benefit of Stackdriver?

    Boosts all network performance

    Stackdriver integrates several technologies, including monitoring, logging, error reporting, and debugging that are commonly implemented in other environments as separate solutions using separate products. What are key benefits of integration of these services?

    Answer: Reduces overhead, reduces noise, streamline use, and fixes problems faster

    Stackdriver integration streamlines and unifies these traditionally independent services, making it much easier to establish procedures around them and to use them in continuous ways.

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    Verified questions

    Engineering

    For the events described below, select the tax-related term from the following list that best applies: gross income, depreciation, operating expense, taxable income, income tax, or net operating profit after taxes. (a) A corporation reports that it had a negative $1,750,000 net profit on its annual income statement. (b) An asset with a current book value of$120,000 was utilized on a new processing line to increase sales by $200,000 this year. (c) A machine has an annual write-off of$21,000. (d) The cost to maintain quality assurance equipment during the past year was $75,000. (e) A supermarket collected$24,000 in lottery ticket sales last year. Based on the winnings paid to individuals holding these tickets, a rebate of $250 was sent to the store manager. (f) An asset with a book value of$8000 was retired and sold for $8450. (g) The cost of goods sold in the past year was$3,680,200. (h) An over-the-counter software system will generate $420,000 in revenue this quarter.

    स्रोत : quizlet.com

    Cloud Logging Agent

    Cloud Logging Agent - Managing Application Logs and Metrics on GCP course from Cloud Academy. Start learning today with our digital training solutions.

    CoursesManaging Application Logs and Metrics on GCP

    Cloud Logging Agent

    Cloud Logging Agent Contents

    COURSE INTRODUCTION & INTRO TO LOGGING

    1 Introduction PREVIEW1m 2s 2 Why Logging? PREVIEW2m 27s

    GOOGLE CLOUD LOGGING

    3

    Google Cloud Logging

    3m 4

    Cloud Logging: Under the Hood

    1m 13s 5

    DEMO: Enabling Cloud Logging API

    4m 17s

    LOG COLLECTION

    6 Log Collection 41s 7 Cloud Logging Agent 3m 23s 8

    How Does Cloud Logging Agent Work?

    1m 28s 9

    DEMO: Log Collection Using Cloud Logging Agent (Google-fluentd)

    17m 23s 10

    DEMO: Sending Logs Using Cloud Logging API

    9m 42s

    METRICS EXPLORER

    11 Metrics Explorer 1m 46s 12

    DEMO: Explore Metrics

    2m 50s

    SUMMARY

    13 Summary 1m 5s

    The course is part of these learning paths

    Monitoring and Alerting with GCP - Level 3

    1

    Developing for Google Kubernetes Engine

    25 10 14

    Google Professional Cloud DevOps Engineer Exam Preparation

    16 1 8 1 See 2 more Start course OVERVIEW Difficulty Intermediate Duration 50m Students 307 Ratings 4.6 /5 Description

    Logging is very important today given the volume and variety of data we deal with across different customer use cases. This course will enable you to take a more proactive approach towards identifying faults and crashes in your applications through the effective use of Google Cloud Logging. As a result, you will learn how to delegate the operational overhead to GCP through automated logging tools, resulting in a more productive operational pipeline for your team and organization.

    Learning Objectives

    Through this course, you will equip yourself with the required skills for streaming log data to Google Cloud Logging service and use metrics to understand your system's behavior. The course will start with an introduction to the Cloud Logging Service and then demonstrate how to stream logs using Cloud Logging Agent and the Python client library.

    Prerequisites

    To get the most out of this course, you should already have an understanding of application logging.

    Intended Audience

    This course is suited for anyone interested in logging using Google Cloud Platform (GCP) Cloud Logging.

    Resources

    Source code for this course: https://github.com/cloudacademy/Managing-Application-Logs-and-Metrics-on-GCP

    Google Cloud fluentd source code: https://github.com/GoogleCloudPlatform/google-fluentd

    Google Cloud fluentd additional configurations: https://github.com/GoogleCloudPlatform/fluentd-catch-all-config

    Google Cloud fluentd output plugin configuration: https://cloud.google.com/logging/docs/agent/logging/configuration#cloud-fluentd-config

    Package release history: https://pypi.org/project/google-cloud-logging/#history

    Metrics Explorer pricing: https://cloud.google.com/stackdriver/pricing#metrics-chargeable

    Transcript

    Welcome to the Cloud Logging Agent lecture. In this lecture, we will learn about Cloud Logging Agent, how to install Cloud Logging agent and its configuration to send log data to Google Cloud Logging service.

    First, let's understand what a Cloud Logging Agent is and how it works. Cloud Logging agent is an application based on an Open Source tool, fluentd, and is often termed as google-fluentd. The source code of google-fluentd can be found at this GItHub repository. You can also get some additional configurations at this GitHub repository.

    Cloud Logging enables us to collect log data from multiple sources and transfer it to the Google Cloud Logging service reliably. With the Cloud Logging agent, we can filter the log entries on the fly and buffer before transferring to the Google Cloud Logging service. Cloud logging agent or google-fluentd comes with its default configuration that can stream most common logs such as Linux Syslog, Apache access logs, Chef logs, Cassandra logs, MongoDB logs, MySQL logs, Redis logs, and many more to Google Cloud Logging service. For the full list of default logs configuration, please refer to the Google Cloud Documentation linked with this lecture.

    Besides the default logs, a user can provide the custom configuration to stream other software logs to the Google Cloud Logging service. The logs from the Cloud Logging agent are named as; project//logs/. Here, the PROJECT-ID is your Google Cloud Platform Project ID, and the Log ID is the name of the log, for example, syslog or mysql. Cloud Logging agent stores its root configuration at /etc/google-fluentd/google-fluentd.conf, if you are on Linux, and imports all the configuration files from /etc/google-fluentd/config.d directory. If you are on Windows, root configuration is present at C:\Program Files \Stackdriver\LoggingAgent\fluent.conf. We will go through some configuration files during the upcoming demos.

    Now, we may have a question; what operating systems are supported to run a Cloud Logging agent, or where can I run a Cloud Logging agent? The answer to the above question is; we can have a Cloud Logging agent running on Google Compute Engine VM Instances, or Amazon EC2 instances. And it is compatible with many operating systems such as CentOS, Debian, RedHat, Amazon Linux.

    स्रोत : cloudacademy.com

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