Bargawiki - devops:monitoring:datadog

administration

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T11:55:17+00:00

Pregunta 1 What is the first step in setting up SSO authentication in Datadog? * Set up multiple organizations * Create custom roles * Configure identity provider and download metadata * Enable just-in-time provisioning Pregunta 2 What menu in Datadog shows the current active organization?

api_and_application_keys

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T09:38:45+00:00

API and Application Keys API keys API keys are unique to your organization. An API key is required by the Datadog Agent to submit metrics and events to Datadog. Application keys Application keys, in conjunction with your organization’s API key, give users access to Datadog’s programmatic

canonical_hostnames

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T10:26:32+00:00

How does Datadog determine the Agent hostname? Potential host names The Datadog Agent collects potential host names from many different sources. Run the Agent’s status subcommand to see all names the Agent is detecting. Hostnames hostname: my.special.hostname agent-hostname: my.special.hostname ec2-hostname: ip-192-0-0-1.internal instance-id: i-deadbeef socket-hostname: myhost socket-fqdn: myhost.mydomain

containers

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T13:58:12+00:00

Pregunta 1 Where are logs available for analysis and troubleshooting? * Container Logs * Log Analysis * Log Insights * Log Explorer Pregunta 2 What rule type helps scrub sensitive data from logs? * redact * filter * scrub * mask_sequences

datadog_agent_and_api

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T13:53:04+00:00

Pregunta 1 How can you view custom metric data posted through the API in Datadog? * Dashboards * Events Stream * Metrics Explorer * Monitors Pregunta 2 What format is used for request and response data in most Datadog API calls? * XML

datadog_agent

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T09:06:47+00:00

Agent Agent v7 is available. Upgrade to the newest version to benefit from all new functionality. Overview The Datadog Agent is software that runs on your hosts. It collects events and metrics from hosts and sends them to Datadog, where you can analyze your monitoring and performance data. The Datadog Agent is open source and its source code is available on GitHub at [

ddtrace

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T14:11:53+00:00

Datadog ddtrace ddtrace is the Datadog APM (Application Performance Monitoring) Python library that enables tracing of your applications to monitor performance, latency, and errors in real-time. With ddtrace, you can gain detailed insights into your application's behavior, optimize its performance, and troubleshoot issues quickly.

docker_agent

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T14:24:43+00:00

Datadog Docker Agent The Datadog Docker Agent is a specialized version of the Datadog Agent designed to monitor Docker containers. It provides powerful insights into the performance, health, and resource utilization of your containers and the Docker environment. This agent helps you track various metrics, logs, and events for Docker containers and hosts, and integrates seamlessly with Datadog’s infrastructure monitoring platform.

docker_daemon

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T10:24:42+00:00

Docker Agent for Docker, containerd, and Podman Overview The Datadog Docker Agent is the containerized version of the host Agent. The Docker Agent supports Docker, containerd, and Podman runtimes. The official Docker image is available on Docker Hub, GCR, and ECR-Public. Docker Hub is subject to image pull rate limits. If you are not a Docker Hub customer, Datadog recommends that you update your Datadog Agent and Cluster Agent configuration to pull from GCR or ECR. For instructions, see Changi…

dogstatsd

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T14:18:05+00:00

DogStatsD DogStatsD is a high-performance metrics collection and reporting service used by Datadog to aggregate and send metrics to the Datadog platform. It is designed to work seamlessly with applications and services to collect statistics on various aspects such as performance, errors, and resource utilization.

getting_started

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T08:59:47+00:00

What is Datadog Datadog is an observability platform that supports every phase of software development on any stack. The platform consists of many products that help you build, test, monitor, debug, optimize, and secure your software. These products can be used individually or combined into a customized solution.

infrastructure_list

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T09:30:46+00:00

Infrastructure List Overview The Infrastructure list shows all of your hosts monitored by Datadog with activity during the last two hours (default) and up to one week. Search your hosts or group them by tags. In Datadog, navigate to Infrastructure > Hosts to view the Infrastructure list. This list should not be used to estimate your infrastructure host billing. See the billing page to learn about billing.

integrations

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T10:15:07+00:00

Create an Agent Integration Overview This page walks Technology Partners through how to create a Datadog Agent integration, which you can list as out-of-the-box on the Integrations page, or for a price on the Marketplace page. Agent-based integrations

metrics_api

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T14:21:03+00:00

Metrics API in Datadog The Metrics API in Datadog allows you to interact with and manage your metric data programmatically. With this API, you can submit custom metrics, retrieve metric data, manage tags associated with your metrics, and more. The API

metrics

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T09:22:32+00:00

What are metrics? Metrics are numerical values that can track anything about your environment over time, from latency to error rates to user signups. In Datadog, metric data is ingested and stored as data points with a value and timestamp: [ 17.82, 22:11:01 ]

metricseventstags

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T13:54:10+00:00

Pregunta 1 What is the purpose of aggregating events? * To create monitors * To combine similar events together * To define SLOs * To store event data Pregunta 2 What environment variable extracts Docker container labels as tags? * DD_TAG_IMPORTER

monitor_types

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T14:19:22+00:00

Monitor Types in Datadog In Datadog, monitors are used to keep track of the health and performance of your systems, infrastructure, and applications. A monitor evaluates data from your metrics, logs, or traces to trigger alerts when certain conditions are met. There are several types of monitors, each with specific use cases and configurations.

monitoring_basics_questions

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T13:51:58+00:00

Pregunta 1 What method of checking is initiated by the monitoring system to collect data? * Metric * Passive check * Alert * Active check Pregunta 2 What are two benefits of proactive monitoring? * Set thresholds for metrics * Avoid outages, optimize systems

monitorsalerts

Anonymous (anonymous@undisclosed.example.com) — 2025-02-14T12:26:08+00:00

Pregunta 1 What provides additional NGINX metrics beyond the open source version? * NGINX Plus * Infrastructure List * Integrations * Host Details Pregunta 2 What allows drilling down into system details for a host without logging into it directly?

observability

Anonymous (anonymous@undisclosed.example.com) — 2025-02-13T09:28:28+00:00

Introduction to Observability and Monitoring with Datadog Observability and monitoring are essential practices in modern software and cloud-based infrastructures. They help businesses ensure the reliability, performance, and health of applications and systems. One of the leading tools in this space is

questions

Anonymous (anonymous@undisclosed.example.com) — 2025-02-13T13:27:52+00:00

Datadog Sample Exam Questions 1. Can the Datadog Agent be installed and run on any operating system? Choose only ONE best answer: * A: No, it only supports running on Linux-based operating systems. * B: No, you need to check the version of your operating system to ensure its compatibility.