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.
Guides & insights
A library for curious minds
Observability
Fluent Bit: parsers and filters, structuring and transforming logs
Structure and transform logs in Fluent Bit: parsers (json, regex, logfmt, ltsv), multiline parsers, the kubernetes, grep, modify, nest, record_modifier, r…
Observability
Advanced Grail and DQL: performance, parse, joins, time series, entities and correlation
Writing fast, low-cost DQL queries, parsing text with DPL and JSON, combining sources with lookup, join and append, computing time series, querying entiti…
Observability
LogQL (1/2): querying logs (selectors, filters and parsers)
Learn LogQL: stream selectors, line filters, json/logfmt/pattern/regexp parsers, label filters, line formatting and performance best practices.
Observability
CrowdSec: understanding the collaborative firewall
What CrowdSec is, how it detects and blocks attacks: Security Engine, parsers, scenarios, Local API, Central API and bouncers.
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
DQL in practice: exploring logs and events, notebooks, dashboards and performance
Use the Dynatrace Query Language day to day: explore logs and events, chain commands, parse fields, create time series, share in notebooks and dashboards,…
Observability
Logs in Datadog: collection, pipelines, indexes and volume control
Collect logs with the agent, structure them with pipelines and processors (grok), use facets and queries, and control costs and retention with indexes, ex…
Observability
Fluent Bit: pipeline, configuration and essential plugins
Fluent Bit concepts (inputs, parsers, filters, tags and match, buffer, outputs), YAML configuration, and the must-have plugins: tail, systemd, kubernetes,…
Observability
Transforming with VRL and testing Vector pipelines
The VRL language (Vector Remap Language): parsing logs (JSON, regex, syslog), error handling, enrichment, masking, routing, converting logs to metrics, an…
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