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Getting started

Overview
Ingesting and Exploring Data with Observe
Introduction to Alerts and Monitors
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- Alerting example: Channels, Channel Actions, and Monitors
- Monitor Notification Options
- Customizing alert messages
- Channel Action Integrations
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  - PagerDuty
Introduction to Metrics
Data ingestion
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- Sources
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- Forwarders
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- Data streams
- Endpoints
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  - HTTP
  - DDTrace
  - Elastic
  - Kinesis
  - LogPlex
  - OpenTelemetry
  - Prometheus
  - Zipkin

Working with data

Observe Integrations
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- AWS Integration
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  - Amazon CloudFront
  - Amazon EC2
  - Amazon RDS
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    - Amazon RDS metrics
  - AWS Lambda
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    - AWS Lambda metrics
  - Elastic Load Balancing
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    - Elastic Load Balancing metrics
- Kubernetes Integration
- Linux Host Monitoring Integration
Worksheets
Tutorial: modeling weather data

Managing your Workspace

Workspace Settings

OPAL query Language

OPAL — Observe Processing and Analysis Language
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All OPAL verbs
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- OPAL Verbs By Category
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  - OPAL Aggregate Verbs
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    - aggregate
    - align
    - dedup
    - distinct
    - make_col
    - make_session
    - merge_events
    - rollup
    - statsby
    - timechart
    - bucketize
    - timestats
  - OPAL Filter Verbs
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    - always
    - ever
    - filter
    - never
    - topk
  - OPAL Join Verbs
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    - exists
    - flatten
    - flatten_all
    - flatten_leaves
    - flatten_single
    - follow
    - fulljoin
    - join
    - leftjoin
    - lookaround_join
    - lookup
    - surrounding
    - union
    - update_resource
  - OPAL Metadata Verbs
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    - add_key
    - colenum
    - colimmutable
    - colshow
    - droptime
    - interface
    - make_event
    - make_resource
    - make_session
    - merge_events
    - set_label
    - set_link
    - set_metric
    - set_primary_key
    - set_pk
    - set_valid_from
    - set_valid_to
    - unset_keys
    - unset_link
  - OPAL Metrics Verbs
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    - aggregate
    - align
    - rollup
    - set_metric
  - OPAL Misc Verbs
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  - OPAL Projection Verbs
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  - OPAL Deprecated Verb Aliases
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    - addfk
    - addkey
    - addmetric
    - changelog
    - coldrop
    - colmake
    - colpick
    - colregex
    - colrename
    - fkdrop
    - flattenall
    - flattenleaves
    - flattensingle
    - makeresource
    - makesession
    - merge_event
    - mergeevent
    - reaggregate
    - setlabel
    - setpk
    - setvf
    - setvt
All OPAL functions
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- OPAL Functions By Category
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  - OPAL Aggregate Functions
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    - any
    - any_not_null
    - array_agg
    - avg
    - count
    - count_distinct
    - count_distinct_exact
    - deriv
    - first
    - first_not_null
    - last
    - last_not_null
    - max
    - median
    - median_exact
    - min
    - object_agg
    - percentile
    - percentile_cont
    - percentile_disc
    - rate
    - stddev
    - string_agg
    - sum
  - OPAL Boolean Functions
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    - bool
    - bool_null
    - contains
    - ends_with
    - eq
    - gt
    - gte
    - is_null
    - like
    - lt
    - lte
    - match_regex
    - ne
    - path_exists
    - search
    - starts_with
  - OPAL Misc Functions
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    - any_null
    - coalesce
    - frame
    - frame_exact
    - if
    - if_null
    - in
    - order_by
    - parse_json
    - position
    - string
    - string_null
  - OPAL Numeric Functions
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    - abs
    - array_length
    - avg
    - ceil
    - count
    - count_distinct
    - count_distinct_exact
    - dense_rank
    - deriv
    - exp
    - float64
    - float64_null
    - floor
    - hash
    - haversine_distance_km
    - int64
    - int64_null
    - ln
    - log
    - median
    - mod
    - numeric_null
    - parse_hex
    - percentile
    - percentile_cont
    - percentile_disc
    - pow
    - rank
    - rate
    - round
    - row_number
    - sqrt
    - stddev
    - strlen
  - OPAL Regex Functions
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  - OPAL Semistructured Functions
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    - array
    - array_agg
    - array_length
    - array_null
    - drop_fields
    - get_field
    - get_item
    - make_array
    - make_fields
    - make_object
    - match_regex
    - match_regex_all
    - object
    - object_agg
    - object_keys
    - object_null
    - parse_csv
    - parse_ip
    - parse_kvs
    - parse_url
    - path_exists
    - pick_fields
    - pivot_array
    - slice_array
    - split
    - tokenize
    - unpivot_array
  - OPAL Special Functions
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    - case
    - group_by
    - m
    - metric
    - options
    - primary_key
    - pk
    - valid_for
    - window
  - OPAL String Functions
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    - decode_base64
    - decode_uri
    - decode_uri_component
    - encode_base64
    - encode_uri
    - encode_uri_component
    - format_time
    - left
    - lower
    - lpad
    - ltrim
    - replace
    - replace_regex
    - right
    - rpad
    - rtrim
    - split_part
    - strcat
    - string_agg
    - substring
    - tokenize_part
    - trim
    - upper
  - OPAL Time Functions
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  - OPAL Window Functions
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    - any
    - any_not_null
    - avg
    - count
    - count_distinct
    - count_distinct_exact
    - dense_rank
    - deriv
    - first
    - first_not_null
    - lag
    - last
    - last_not_null
    - lead
    - max
    - median
    - median_exact
    - min
    - object_agg
    - percentile
    - percentile_cont
    - percentile_disc
    - rank
    - rate
    - row_number
    - stddev
    - sum
  - OPAL Deprecated Function Aliases
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    - array_pivot
    - array_unpivot
    - countdistinct
    - countdistinctexact
    - decodebase64
    - denserank
    - encodebase64
    - endswith
    - groupby
    - ifnull
    - isnull
    - makeobject
    - medianexact
    - milliseconds
    - nanoseconds
    - orderby
    - parsehex
    - parseip
    - parseisotime
    - parsejson
    - parsekvs
    - parseurl
    - percentilecont
    - percentiledisc
    - primarykey
    - queryendtime
    - querystarttime
    - regex_match
    - regex_replace
    - row_endtime
    - rownumber
    - seconds
    - startswith
    - validfor

Reference

Observe Glossary
Helpful Hints
Observe Datasets and Time
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Observe Basic Data Processing Model
Observe release notes and updates
FAQ

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validfor¶

validfor is a deprecated alias of valid_for.

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