Observability
Grail buckets in Dynatrace: creation, routing, retention, rights and costs
Complete guide to Grail buckets: purpose, default buckets, creation in Storage management, with the API or Terraform, routing with OpenPipeline, DQL queri…
Guides & insights
A library for curious minds
Observability
Advanced logs with OpenPipeline: processing, masking, buckets and retention
Manage logs in Dynatrace with OpenPipeline: ingestion, routing, DQL processing (parsing, enrichment), sensitive data masking, metric and event extraction,…
Observability
Data retention in Dynatrace: Grail, buckets and durations by data type
Understand how long Dynatrace keeps logs, traces, metrics, sessions and events, manage retention with Grail buckets, and balance costs, compliance and ana…
Observability
CrowdSec collections, parsers and scenarios
The Hub, collections, the parser pipeline and scenarios: install, understand with cscli explain, write your own scenario and test it in simulation.
Cloud computing
Google Cloud storage: Cloud Storage, persistent disks and Filestore
Store data on Google Cloud: Cloud Storage (classes, regional, dual-region and multi-region locations, lifecycle, versioning, uniform access, signed URLs),…
Cloud computing
Storage on AWS: S3, EBS, EFS and backup
Store data on AWS: Amazon S3 (buckets, storage classes, versioning, lifecycle, encryption, policies and public access blocking), EBS volumes, EFS file sys…
Observability
Advanced Elasticsearch Query DSL and aggregations, with ES|QL
Write advanced Elasticsearch queries: bool, filter and score, nested, function_score and BM25 relevance, bucket, metric and pipeline aggregations, composi…
Observability
Dynatrace security and governance: advanced IAM, policies, SSO, audit and data protection
Secure and govern Dynatrace: SSO and SCIM, groups, IAM policies with conditions, security contexts and buckets, audit logs, data masking and privacy, Appl…
Observability
Mimir: compactor, retention and object storage
Configure Mimir object storage (S3, GCS, Azure, MinIO), understand compaction and split-and-merge, set per-tenant retention and delete series.
Observability
Thanos Store Gateway and Compactor: history, downsampling and retention
Serve history with the Store Gateway and optimize storage with the Compactor: compaction, 5m/1h downsampling, per-resolution retention, caches and bucket …
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…
Learning never stops