Glossaire

action

Dans le service RUM de Datadog, une action est un type d’événement. Les événements de type Action permettent de suivre les interactions d’un utilisateur tout au long de son parcours.

administration

Synonyms: statut d'administration

Le statut d’administration d’un port (disponibilité) indique si le port est désactivé ou non.

Agent

Synonyms: Datadog Agent

The Datadog Agent is an open source software that runs on a host. It collects metrics and events from the host and sends them to Datadog. It can run on your local hosts (Windows, macOS), containerized environments (Docker, Kubernetes), and in on-premises data centers. For more information, see the documentation.

agrégation spatiale

L’agrégation spatiale permet de diviser une métrique en plusieurs séries temporelles en fonction de différents tags, afin de répartir vos métriques selon les hosts, conteneurs, régions, etc. Il existe quatre options d’agrégation différentes : sum, min, max et avg. Pour en savoir plus, consultez la documentation à ce sujet.

agrégation temporelle

Synonyms: rollup

L’agrégation temporelle est la méthode utilisée par Datadog pour combiner des points de données dans des compartiments de temps. Il existe cinq options d’agrégation : sum, min, max, avg et count. Pour en savoir plus, consultez la documentation à ce sujet.

alerte

Les monitors Datadog génèrent des alertes, qui indiquent qu’une condition définie a été remplie.

alerte multiple

Lorsqu’une alerte multiple se produit, l’alerte est appliquée à chaque source en fonction du paramètre de groupe du monitor. Une notification d’alerte est envoyée pour chaque groupe qui remplit les conditions définies. Pour en savoir plus, consultez la documentation à ce sujet.

Amazon Elastic Container Service (ECS)

ECS is a container orchestration service.

Amazon Elastic Kubernetes Service (EKS)

EKS est un service Kubernetes géré.

Amazon Resource Name (ARN)

Un ARN correspond à une chaîne qui identifie de façon unique une ressource AWS. Consultez la documentation relative à AWS pour en savoir plus.

analytics

Log analytics is the process of querying, grouping, and visualizing logs for investigation and exploration.

Annotation

Dans Kubernetes, les annotations sont des mappages clé/valeur pouvant être utilisés pour associer des métadonnées aux objets Kubernetes.

API key

An API key is a token used to authenticate a user or an application. The Datadog Agent requires an API key to submit metrics and events to Datadog.

api test

Related terms: multistep api test

In Datadog Synthetic Monitoring, an API test allows you to launch requests through individual network protocols. For more information, see the documentation.

APM

Synonyms: Tracing, Distributed Tracing

Application Performance Monitoring (APM) monitors requests, errors, and latency in your application. Add distributed traces throughout your application to correlate to browser sessions, logs, profiles, synthetic checks, network, processes, and infrastructure metrics across your hosts, containers, proxies, and server less functions.

For more information about APM, see the APM documentation.

archive

Une archive est une solution de stockage à long terme dans le cloud destinée à stocker des logs, qu’ils soient indexés ou non, pendant de longues périodes.

attribut

Un attribut est une information concernant un log.

attribut standard

Un attribut standard est issu d’un ensemble d’attributs par défaut. Ces attributs par défaut peuvent être personnalisés pour créer une convention de nommage pour votre organisation.

Autodiscovery

In Datadog, Autodiscovery is a feature that automatically identifies the services running on containers. This enables you to define configuration templates for Agent checks and specify which containers each check should apply.

Autoscaler de pods horizontaux (HPA)

Dans Kubernetes, un HPA permet de déployer automatiquement un nombre supplémentaire de pods pour répondre à la demande.

AWS Fargate

Synonyms: Fargate

AWS Fargate est un moteur de calcul sans serveur.

Azure Kubernetes Service (AKS)

AKS est un service Kubernetes géré.

Base d'informations de gestion (MIB) SNMP

Une MIB SNMP est une collection de définitions relatives aux propriétés d’un objet géré (telles que les types de données, les autorisations d’accès, etc.). Pour en savoir plus, consultez la documentation à ce sujet.

browser test

Related terms: mobile app test

In Datadog Synthetic Monitoring, a browser test monitors web business transactions or web user journeys. A single test may involve several actions and pages to verify that users can successfully complete processes such as signing up for an account and checking out. For more information, see the documentation.

cardinalité

Dans Datadog, la cardinalité correspond au nombre de valeurs de tag associées à une clé de tag pour une métrique.

Center for Internet Security (CIS)

Le CIS est une organisation qui met au point les contrôles CIS et les benchmarks CIS, qui font office de recommandations et de consignes pour les meilleures pratiques en matière de sécurité.

Check

Checks are small Python programs run periodically by the Agent. A Check performs an action and then gathers the result, which the Agent then stores and reports to the Datadog platform. These programs are freeform and are generally used to collect metrics from custom environments or applications. Note that the word “check” - when not capitalized - refers to the generic act of taking a measurement.

check de service

Un check de service permet de surveiller le statut d’un service afin de vérifier s’il est disponible ou non. Pour en savoir plus, consultez la documentation à ce sujet.

Cluster Agent

The Cluster Agent is a version of the Datadog Agent that provides a streamlined, centralized approach to collecting cluster-level monitoring data.

collector

Le collector est le processus de l’Agent qui exécute les checks sur la machine et recueille les métriques. Pour en savoir plus, consultez la documentation.

compte de service

Un compte de service est un utilisateur fictif qui peut être associé à un rôle et qui peut posséder des clés d’application. Pour en savoir plus, consultez la documentation à ce sujet.

ConfigMap

A ConfigMap is an API object that stores data in key-value pairs. ConfigMaps can be supplied to Pods as environment variables, command-line arguments, or configuration files in a volume.

Container Agent

The Container Agent is the version of the Datadog Agent that runs on a containerized environment.

Container Runtime Interface (CRI)

L’interface CRI permet à un kubelet d’utiliser différents runtimes de conteneur.

containerd

Containerd is a container runtime.

contexte

Le contexte utilise un ou plusieurs tags pour filtrer la requête. Pour en savoir plus, consultez la documentation à ce sujet.

control

A specific recommendation for how technology, people, and processes should be managed. A control is typically based on a regulation or industry standard.

Core Web Vitals

Core Web Vitals are a set of metrics that Google has identified as meaningful signals for UX testing. These metrics concern how long it takes for a page to load, how long it takes for a user to interact, how stable a page is as it loads, and more. For more information, see the documentation.

count

“Count” is a metric type that adds up all the submitted values in a time interval. For more information, see the documentation.

DaemonSet

Dans Kubernetes, un DaemonSet est un contrôleur qui gère des groupes de pods. Vous pouvez définir un DaemonSet dans un fichier YAML.

délai

Un délai d’évaluation indique au monitor qu’il doit attendre un nombre spécifié de secondes avant de commencer l’évaluation. Pour en savoir plus, consultez la documentation.

délai de crawler

Un délai de crawler est un délai appliqué à la collecte des métriques des intégrations cloud Datadog en raison de contraintes imposées par l’API du fournisseur de cloud. Pour en savoir plus, consultez la documentation.

démarrage à froid

En informatique, on parle de démarrage à froid lors du premier démarrage ou du redémarrage d’un système ou d’un composant. Dans le contexte de l’informatique sans serveur, un démarrage à froid fait spécifiquement référence aux problèmes (comme une latence accrue) pouvant survenir lorsqu’une fonction est invoquée pour la première fois ou après une période d’inactivité.

distributed tracing

Distributed tracing is a method of tracking application requests as they flow from frontend devices to backend services and databases. Developers can use distributed tracing to troubleshoot requests that exhibit high latency or errors.

distribution

A distribution is a metric type that aggregates values sent from multiple hosts during a flush interval. For more information, see the documentation.

Docker

Docker is a framework for managing containers.

DogStatsD

DogStatsD refers to two related things: a protocol based on StatsD, and an application for reporting metrics which implements that protocol. The DogStatsD protocol is an extension of the StatsD protocol, with some modifications that are specific to the Datadog platform. The DogStatsD application is a service that is bundled with the Agent, and is used as a lightweight mechanism for reporting metrics.

See the DogStatsD documentation for more information.

downtime

Les downtimes sont des périodes planifiées pendant lesquelles les alertes et les notifications des monitors sont désactivées. Pour en savoir plus, consultez la documentation.

eBPF

eBPF est une technologie de kernel Linux qui permet aux utilisateurs d’exécuter un bytecode sans modifier le kernel ni ajouter de modules kernel.

error

In Datadog RUM, an error is a type of event. An error event is generated when the browser emits a frontend error.

execution time

In APM, execution time is the total time that a span is considered active, or not waiting for a child span to complete.

Execution time is calculated by adding up the time that a span is active, meaning it has no child spans. For non-concurrent work, this is straightforward. In the following image, the execution time for Span 1 is $\D1 + \D2 + \D3$. The execution time for Spans 2 and 3 are their respective widths.

When child spans are concurrent, execution time is calculated by dividing the overlapping time by the number of concurrently active spans. In the following image, Spans 2 and 3 are concurrent (both are children of Span 1), overlapping for the duration of Span 3, so the execution time of Span 2 is $\D2 ÷ 2 + \D3$, and the execution time of Span 3 is $\D2 ÷ 2$.

explorer

L’Events Explorer est une page de Datadog où les utilisateurs peuvent consulter et agréger les événements. L’Events Explorer affiche les événements les plus récents générés par l’infrastructure et les services de l’utilisateur, notamment pour les déploiements de code, la santé des services, les modifications apportées à la configuration ou les alertes de surveillance. Pour en savoir plus, consultez la documentation.

facette

Une facette est un tag ou un attribut des logs indexés défini par l’utilisateur. Elle peut être quantitative ou qualitative et permet de rechercher des logs dans le Log Explorer, de définir des patterns de logs et d’analyser les logs.

falsification de requête côté serveur (SSRF)

Une SSRF est un type de vulnérabilité où une personne malveillante utilise un serveur pour accéder à des informations ou pour les manipuler.

falsification de requête intersite (CSRF)

Synonyms: XSRF

Une CSRF est un type de vulnérabilité où une personne malveillante utilise un client Web, tel qu’un navigateur, pour accéder à des informations ou les manipuler.

fenêtre d'évaluation

La fenêtre d’évaluation correspond à la période relative des données que le monitor agrège et utilise pour la comparaison aux seuils définis. Pour en savoir plus, consultez la documentation.

filtre d'exclusion

Un filtre d’exclusion détermine les logs qui ne doivent pas être indexés. Ces derniers apparaissent tout de même dans la vue Live Tail.

finding

A finding is the primary primitive for a rule evaluation against a resource. Every time a resource is evaluated against a rule, a finding is generated with a pass or fail status.

flaky test

A flaky test is a test that exhibits both a passing and failing status across multiple test runs for the same commit. If you commit some code and run it through CI, and a test fails, and you run it through CI again and the test passes, that test is unreliable as proof of quality code. For more information, see the documentation.

flamegraph

Un flamegraph est une visualisation d’une trace, où les barres représentent des spans et indiquent le temps d’exécution de ces dernières, ainsi que l’origine de leur appel et les appels qu’elles ont émis. Les flamegraphs sont également utilisés pour représenter des profils.

flare

The flare command is a quick way to send troubleshooting information to the Datadog support team. flare gathers all of the Agent’s configuration files and logs into an archive file, removes sensitive information like passwords, and then sends the archive file to Datadog support.

flow

In computer networks, a flow is the path taken when one endpoint communicates with another. Datadog’s network map provides a visualization for network data flow. For more information, see the documentation.

forecast

Forecasts use algorithms to predict the future behavior and values of a metric.

forwarder (Agent)

The forwarder is the Agent process that sends metrics over HTTPS to Dataodog. For more information, see the documentation.

framework

Synonyms: compliance framework, compliance standard, compliance benchmark

A collection of requirements that map to an industry benchmark or regulatory standard.

function

In serverless computing, a function is a programmatic function hosted on managed infrastructure.

funnel analysis

Funnel analysis analyzes a user’s journey towards a defined outcome, such as signup or purchase. Funnel analysis looks at the sequence of events along this journey.

gauge

Gauge is a metric type that takes the last value reported during the interval. For more information, see the documentation.

Gestion des informations et événements de sécurité (SIEM)

Dans le domaine de la sécurité informatique, le SIEM consiste à exploiter les données associées aux événements de sécurité pour détecter les menaces, gérer les incidents de sécurité et améliorer la conformité.

global variable

In Datadog Synthetic Monitoring, a global variable is a variable that is accessible from all of a user’s Synthetic tests. For more information, see the documentation.

Google Kubernetes Engine (GKE)

GKE is a managed Kubernetes service.

granularity

Granularity is the frequency at which data is collected or displayed on graphs. For more information, see the documentation.

grok

Grok est une méthode de parsing et d’extraction d’attributs à partir de messages de log semi-structurés.

Helm

Helm is a tool for managing pre-configured Kubernetes resources.

histogram

A histogram reports five different values that summarize the submitted values: the average, count, median, 95th percentile, and max. For more information, see the documentation.

host

A host is a computer or a virtual machine.

ID de span

Un ID de span est un identifiant numérique généré par la bibliothèque de tracing pour une span. Les ID de span sont associés aux ID de trace pour permettre la mise en corrélation des logs et des traces dans Datadog.

ID de trace

Un ID de trace est un identifiant numérique généré par la bibliothèque de tracing pour une trace. Les ID de trace sont associés aux ID de span pour permettre la mise en corrélation des logs et des traces dans Datadog.

indexed

Indexed logs are logs that have been collected, processed, and retained for analysis, alerting, and troubleshooting.

Indexed spans represent spans indexed by a retention filter stored in Datadog for 15 days that can be used to search, query, and monitor in Search Spans by the tags included on the span.

In this example, the requests (merchant.store_name and merchant.tier) have been added as tags to the span.

To get started with tagging spans in your application, see the Adding span tags guide.

After a tag has been added to a span, search and query on the tag in Analytics by clicking on the tag to add it as a facet. Once this is done, the value of this tag is stored for all new traces and can be used in the search bar, facet panel, and trace graph query.

ingested

Ingested logs and spans are all logs and spans collected throughout your environment.

ingestion control

Ingestion control refers to the mechanisms and rules in the Agent and in tracing libraries for determining what traces are sent from an application to Datadog.

Intelligent Retention Filter

A Datadog default retention filter that is always active, keeping a representative proportion of traces, true high latency, and diverse error traces to help you monitor the health of your applications. It is not random, and so traces only retained by Intelligent Retention are not included in trace metrics.

interactive application security testing (IAST)

IAST is a security testing methodology that combines static and dynamic testing.

invocation

In serverless computing, an invocation is when a deployed function is called.

kit de développement logiciel (SDK)

Un SDK est un ensemble d’outils qui permettent aux développeurs de créer des applications pour une technologie spécifique, comme un système d’exploitation ou un langage de programmation.

Kubernetes

Kubernetes is a platform for managing containers.

layer 2

Synonyms: data link layer

In the OSI model of computer networking, layer 2 defines the network data format. Layer 2 concerns frames and physical addressing.

layer 3

Synonyms: network layer

In the OSI model of computer networking, layer 3 determines how data is physically routed from source to destination. Layer 3 concerns packets and logical addressing.

Live Tail

Live Tail is all logs ingested by Datadog after processing but before indexing or archiving.

log indexing

Log indexing filters logs into value groups for different retention periods, quotas, usage monitoring, and billing.

manifest (Kubernetes)

In Kubernetes, a manifest is a file that describes the creation and management of resources in a cluster.

measure

A measure is a quantitative facet that can be used to aggregate values from multiple logs, filter logs using a range, or sort logs against a value.

métrique optimisée

Synonyms: métrique Lambda optimisée

Datadog génère un ensemble de métriques Lambda optimisées à partir de votre runtime Lambda. Celles-ci viennent compléter les métriques Lambda par défaut fournies par l’intégration AWS Lambda. Les métriques Lambda optimisées sont précédées par aws.lambda.enhanced.*.

minified code

Minified code is code (often JavaScript) stripped of comments, extra whitespace, unused code, and anything else that does not affect functionality. Minified code is less human-readable, but its smaller size improves website performance.

MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK)

MITRE ATT&CK is a knowledge base of cyber adversary tactics and techniques.

mobile app test

Related terms: browser test

In Datadog Synthetic Monitoring, a mobile app test monitors key business flows that may involve several actions and pages to verify that users can successfully complete processes such as signing up for an account and checking out. For more information, see the documentation.

multi-org

Multi-org is an account feature to manage multiple child organizations from one parent organization account. Users can be added to the parent-org and multiple child-orgs.

multistep API test

Related terms: api test

In Datadog Synthetic Monitoring, a multistep API test has several HTTP requests chained together to monitor user journeys on your services. For more information, see the documentation.

mute

Mute a monitor to silence a monitor’s alerts and notifications.

NetFlow

NetFlow is a network protocol system that collects IP network traffic as it enters or exits an interface. It was introduced by Cisco in 1996.

Network Device Monitoring (NDM)

Datadog’s Network Device Monitoring (NDM) provides visibility into on-premise and virtual network devices, such as routers, switches, and firewalls. For more information, see the documentation.

Network Performance Monitoring (NPM)

Datadog’s Network Performance Monitoring (NPM) provides visibility into network traffic between services, containers, availability zones, etc. For more information, see the documentation.

network profile

A network profile is set of attributes that describe how a network is configured.

No Data

No Data is when an integration or application is no longer submitting metrics to Datadog.

Node Agent

The Node Agent is the version of the Datadog Agent that runs on a host.

object identifier (OID)

An OID is a standardized name used to identify an object.

Open Web Application Security Project (OWASP)

OWASP is an organization that provides web application security resources.

operational status

The operational status of a port (up/down) refers to whether the port is up or down.

orchestrator

In a containerized infrastructure, an orchestrator automates the management of containers. This includes the provisioning, deploying, scaling, and networking of containers.

organisation enfant

Une organisation enfant appartient à une organisation parent et gère ses propres données séparément de cette dernière et des autres organisations enfant.

parent org

A parent org can manage and view the usage of multiple child organizations.

pattern

A pattern is when log messages have a similar structure. Pattern aggregation groups these logs together and displays them in the patterns view.

pipeline

A pipeline is an ordered set of processers applied to a filtered subset of logs, which happens after the collection of logs but before indexing.

pipeline de processing

Related terms: processeur , pipeline

Dans le cadre des événements Datadog, un pipeline de processing est une séquence définie d’actions de structuration de données exécutées sur les attributs des événements au moment de leur ingestion. Les utilisateurs peuvent configurer des pipelines de processing afin de normaliser et d’enrichir les événements. Pour en savoir plus, consultez la documentation.

Pod

In Kubernetes, a Pod is the smallest deployable unit of computing.

policy-based routing (PBR)

In computer networks, PBR is a technique for routing data according to policies and filters.

private location

In Datadog Synthetic Monitoring, a private location is a Docker container that a user can install inside a private network. This enables users to monitor internal-facing applications or private URLs that are not accessible from the public internet. For more information, see the documentation.

processeur

Un processeur est un ensemble d’instructions exécutées dans un pipeline de logs pour restructurer les données de log et générer des attributs, permettant ainsi d’enrichir les logs.

profile

A profile is snapshot in time of how much work (CPU usage, memory usage) is being done by code.

query

A query is composed of the metric name, the time aggregator, the space aggregator, and the scope. For more information, see the documentation.

rate

Rate is a metric type that takes the count and divides it by the length of the time interval. For more information, see the documentation.

real user monitoring (RUM)

RUM is a UX monitoring technology that records user interactions with a website or application.

recherche à facettes

Une recherche à facettes fait appel à des filtres pour affiner les résultats de recherche.

RED metrics

RED stands for “Rate, errors, and duration,” three key metrics for evaluating the performance of some code.

reference table

A reference table lists entities in Datadog like customer details, service names, and information, or IP addresses. The information is represented by a primary key and the associated metadata. For more information, see the documentation.

Rehydration

Rehydration is when archived logs are recalled back into Datadog.

requirement

A group of controls representing a single technical or operational topic, such as access management or networking. The regulatory framework PCI DSS, for example, has 12 requirements.

resource

1. In APM, a resource is a particular domain of an application, typically an instrumented web endpoint, database query, or background job.
2. In RUM, a resource is a type of event. A resource event is generated for images, XHR, Fetch, CSS, or JS libraries loaded on a page.
3. In Cloud Security Management Misconfigurations, a resource is a configurable entity that needs to be continuously scanned for adherence with one or more controls. Examples of AWS instance resources include hosts, containers, security groups, users, and customer-managed IAM policies.

retention filter

Synonyms: indexing

Mechanisms and rules for determining what traces are retained for 15 day storage. Datadog retains a certain amount (Intelligent Retention) and users can create custom filters.

role

A role defines the account permissions for users. In Datadog, there are three default roles: Admin, Standard, and Read-only. For more information, see the documentation.

Role-Based Access Control (RBAC)

RBAC is a method to control read and write access to account assets based on roles that are granted permissions and assigned to users. For more information, see the documentation.

rule

Synonyms: detection rule, compliance rule

A security rule evaluates the configuration of a resource to validate an element related to one or more controls. Rules may map to multiple controls, requirements, and frameworks.

runtime application self-protection (RASP)

RASP is a security technology that detects and prevents attacks in real time.

runtime de conteneur

Un runtime de conteneur correspond à la partie du moteur de conteneur qui monte le conteneur et arrête/lance la conteneurisation.

sans serveur

Le sans serveur est un modèle de développement et d’exécution sur le cloud dans lequel un fournisseur de services cloud assure la gestion de l’infrastructure des serveurs.

Saved Views

In an Explorer view, saved views keep track of different search queries, customized default visualizations, and a selected subset of facets. Saved views are shared across your organization.

Secrets (Kubernetes)

Dans Kubernetes, un secret est un objet qui peut être utilisé pour stocker des données sensibles telles que des mots de passe, des tokens et des clés.

security posture score

Synonyms: posture score, compliance score

For Cloud Security Management Misconfigurations, the security posture score represents the percentage of your environment that satisfies all of your active Datadog out-of-the-box Cloud and Infrastructure compliance rules.

Formula:

$${({\text"Pcrictical"/\text"Pcritical + Fcritical"}^2) *8}+{(\text"Phigh"/\text"Phigh + Fhigh") *6}+{(\text"Pmedium"/\text"Pmedium + Fmedium") *3}+{(\text"Plow"/\text"Plow + Flow") *2}+{(\text"Pinfo"/\text"Pinfo + Finfo") *1}$$

• P is the number of misconfigurations that evaluate to pass.
• F is the number of misconfigurations that evaluate to fail.

The formula uses a weighted ratio that considers the severity of the misconfiguration and the number of pass/fail misconfigurations for each severity. Only rules and misconfigurations that have the tag scored:true are included in the calculation.

You can improve your score by remediating misconfigurations, either by fixing the underlying issues or by muting the misconfiguration for the impacted resource. The posture score is updated every hour.

Sensitive Data Scanner

The Sensitive Data Scanner is a stream-based, pattern matching service to identify, tag, and optionally redact or hash sensitive data.

Serverless Insights

Serverless insights are automatically-generated indicators (such as high memory usage, cold start, out of memory, etc.) that Datadog uses to identify and flag Lambda functions that are failing or performing poorly.

service

1. In APM, a service is a group of related endpoints, queries, or jobs that perform a piece of work for your application. A microservices-based architecture is built from multiple services, each performing part of the operation of the application.
2. In serverless computing, a service is an independently-deployed piece of functionality in your architecture. Serverless applications are powered by managed services.

service entry span

A span is a service entry span when it is the entrypoint method for a request to a service. You can visualize this in APM when the color of the immediate parent on a flame graph is a different color.

Service Level Agreement (SLA)

Un SLA est un accord explicite ou implicite entre un client et un prestataire de services stipulant les attentes du client en termes de fiabilité et les conséquences pour le prestataire de services en cas de manquement.

Service Level Objective (SLO)

Un SLO correspond à un pourcentage cible que doivent atteindre les performances d’une application sur une période spécifique. Pour en savoir plus, consultez la documentation à ce sujet.

Service Map

Dans APM, la Service Map offre une vue d’ensemble de vos services et de leur santé. Elle affiche les différents services qui composent votre application ainsi que les dépendances identifiées entre eux.

session

Dans la solution RUM de Datadog, une session est un type d’événement. Une session utilisateur est initiée lorsqu’un utilisateur commence à naviguer sur l’application Web. Elle contient des informations générales sur l’utilisateur, notamment son navigateur et son appareil.

Session Replay

Le Session Replay est une technique de test UX qui permet de reproduire le parcours d’un utilisateur sur un site Web ou une application.

Simple Network Management Protocol (SNMP)

SNMP est un protocole utilisé pour recueillir, organiser et modifier des informations associées à des périphériques gérés sur des réseaux IP.

source

Une source de logs correspond à l’endroit où les logs sont recueillis et ingérés dans Datadog.

source map

Une source map est un fichier qui permet de mapper le code JavaScript minifié au code source d’origine.

span

Une span est une unité de travail logique dans un système distribué pour une période donnée. Un groupe de plusieurs spans correspond à une trace.

span tag

A span tag is a tag that is applied to a span, in the form of a key-value pair, to correlate a request with other telemetry (or to filter it in searches). Tags can be added to a single span or globally to all spans.

The span summary table in APM shows metrics for spans aggregated across all traces, including how often the span shows up among all traces, what percent of traces contain the span, the average duration for the span, and its typical share of total execution time of the requests. This helps you detect N+1 problems in your code so you can improve your application performance.

The span summary table is only available for resources containing service entry spans, and contains the following information:

Average spans per trace

Average number of occurrences of the span for traces, including the current resource, where the span is present at least once.

Percentage of traces

Percentage of traces, including the current resource, where the span is present at least once.

Average duration

Average duration of the span for traces, including the current resource, where the span is present at least once.

Average percentage of execution time

Average ratio of execution time for which the span was active for traces, including the current resource, where the span is present at least once.

static application security testing (SAST)

Synonyms: static analysis

SAST is a security testing methodology that analyzes a program’s source code or binaries.

sublayer metric

A sublayer metric is the execution duration of a given type or service within a trace.

Some Tracing Application Metrics are tagged with sublayer_service and sublayer_type so that you can see the execution time for individual services within a trace.

Sublayer metrics are only available if a service has downstream dependencies.

tag de span

Un tag de span est un tag appliqué à une [span][#span] sous la forme d’une paire key/value afin de mettre en corrélation une requête avec d’autres données de télémétrie (ou afin de la filtrer dans les recherches).

tail

The term tail is derived from the tail command in Unix and Linux operating systems. Tailing is an alternative to printing the entire contents of a file. When you tail a file, you print the last few lines of the file to the terminal. Tailing is commonly used with log files to find the most recently logged events for a process or service. You can set the Datadog Agent up to tail a log file. For more information see Custom log collection.

template variable

Une template variable est un attribut utilisé pour personnaliser et transmettre des notifications de monitor basées sur les détails de l’alerte. Pour en savoir plus, consultez la documentation à ce sujet.

test dynamique de sécurité des applications (DAST)

Le DAST est un processus de test de sécurité qui analyse une application en cours d’exécution sans tenir compte de son code source.

test regression

A test run is marked as a regression when its duration is both five times the mean and greater than the max duration for the same test in the default branch. A benchmark test run is marked as a regression when its duration is five times the standard deviation above the mean for the same test in the default branch.

A benchmark test has @test.type:benchmark. The mean and the max of the default branch is calculated over the last week of test runs. For more information, see the documentation.

test service

Related terms: test suite

In Datadog Synthetic Monitoring and CI Visibility, a test service is generally a group of tests associated with, for example, a project or repo. It contains all the individual tests for your code, optionally organized into test suites, which are like folders for your tests. For more information, see the documentation.

test suite

Related terms: test service

In Datadog Synthetic Monitoring and CI Visibility, a test suite is generally a group of tests exercising the same unit of code depending on your language and testing framework. You can access an example of a test suite which corresponds to a test file in the datadog-ci repository. For more information, see the documentation.

trace

Une trace sert à suivre le temps passé à traiter une requête, ainsi que le statut de la requête. Chaque trace est composée d’une ou de plusieurs spans.

trace metric

Trace metrics are automatically collected and kept with a 15-month retention policy similar to any other Datadog metric. They can be used to identify and alert on hits, errors, or latency. Statistics and metrics are always calculated based on all traces, and are not impacted by ingestion controls.

Trace metrics are tagged by the host receiving traces along with the service or resource. For example, after instrumenting a web service trace metrics are collected for the entry-point span web.request in Metrics > Summary.

Trace metrics can be exported to a dashboard from the Service or Resource page. Additionally, trace metrics can be queried from an existing dashboard.

Trace metrics are useful for monitoring. APM monitors can be set up on the New Monitors, Service, or Resource page. A set of suggested monitors is available on the Service or Resource page.

trace root span

A span is a trace root span when it is the first span of a trace. The root span is the entry-point method of the traced request. Its start marks the beginning of the trace.

In this example, the service entry spans are:

• rack.request (which is also the root span)
• aspnet_coremvc.request
• The topmost green span below aspnet_coremvc.request
• Every orange mongodb span

transaction

A transaction aggregates indexed logs based on an instance of a sequence of events, such as a user session or a request processed across multiple micro-services.

Trap SNMP

Les traps SNMP sont des notifications envoyées par un périphérique compatible SNMP à un gestionnaire SNMP. Lorsqu’une activité inhabituelle est identifiée sur un périphérique réseau, comme un changement d’état soudain sur un équipement, le périphérique déclenche un événement Trap SNMP. Pour en savoir plus, consultez la documentation à ce sujet.

utilisateur

Un utilisateur est une personne qui peut accéder à des données dans Datadog en fonction du rôle qui lui est assigné.

vue

Dans la solution RUM de Datadog, une vue est un type d’événement. Un événement de vue est généré chaque fois qu’un utilisateur accède à une page d’une application Web.

wall time

Wall time is the real time elapsed while the test suite runs, which is less than the sum of all test times when tests are run concurrently. For more information, see the documentation.

warning

A warning is an optional monitor threshold setting for sending a warning notification, where the priority level is lower than an alert.

web application firewall (WAF)

A WAF is a security tool that monitors and filters HTTP traffic from a web application.

webhook

A webhook uses a URL to connect your services, and alerts your services when a metric alert is triggered. For more information, see the documentation.