Observability
Dynatrace: GDPR and data privacy
Learn how to configure Dynatrace to comply with the GDPR, mask sensitive data and enable the collection of user identifiers in full compliance.
Guides & insights
A library for curious minds
Observability
Mastering transformations in Grafana: manipulate your data with agility
Learn how to use Grafana transformations to reformat, calculate and combine your data directly in the interface, without changing your data sources.
Observability
Data sources in Grafana: connect and unify your data
Learn how to extend Grafana's capabilities with data sources. Discover essential plugins such as Elasticsearch and Infinity, and understand the Enterprise…
Observability
Grafana provisioning: automate the management of your dashboards and data sources
Learn how to use Grafana provisioning to manage your configuration (dashboards, data sources, notifiers) through files, making CI/CD integration and the '…
Cloud computing
Edge computing: definition, solutions and modular data centers
Edge computing explained: processing data as close as possible to its source, use cases (IoT, industry, retail), edge-to-cloud solutions from the major pr…
Observability
Service types in Dynatrace: web, database, messaging, custom and unified services
What a service is for Dynatrace, the automatically detected service types (web requests, web services, databases, messaging, remote calls, unified service…
Observability
Dynatrace: analysing database statements (modifications, queries and procedures, transactions)
How Dynatrace captures database calls from the application, groups them into database services, classifies them (modifications, queries or procedures, tra…
Observability
Grail: the Dynatrace data lakehouse and the DQL language
Grail stores all Dynatrace SaaS observability data (logs, metrics, traces, events, entities) without an imposed schema. Buckets and retention, DQL queries…
Observability
Accessing the Dynatrace playground and getting started
The Dynatrace playground is a demo environment full of real data: how to access it, what it allows and does not allow, a guided discovery tour (Kubernetes…
Observability
Logstash: inputs and outputs
Written version of the video lessons: common inputs (beats, file, tcp/udp, http, kafka, jdbc) and outputs (elasticsearch with data streams, file, s3, kafk…
Observability
Machine learning in Elastic: anomaly detection and AIOps
Automatically detect abnormal behaviour: anomaly detection jobs, datafeeds, detectors, influencers, alerts, forecasts, log analysis (AIOps) and data frame…
Observability
Elastic Security: SIEM, detection rules and investigation
Use Elastic Security as a SIEM: ECS data sources, detection rule types (query, EQL, ES|QL, threshold, indicator match, machine learning), prebuilt rules, …
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