• PRODUCT
  • LEARN
    • BLOG
    • RESOURCES
    • DOCS
    • OBSERVABILITY COURSE
  • CAREERS
  • ABOUT US
Contents Menu Expand Light mode Dark mode Auto light/dark, in light mode Auto light/dark, in dark mode Skip to content
Observability Cloud documentation
Light Logo Dark Logo

Welcome to Observe

  • Welcome to Observe
  • Get help with Observe
    • Use O11y Slack to manage an incident
    • Support policies
      • Observe support terms
      • Create an incident
      • Escalate an issue
      • View your requests
      • Share requests with your team
      • Support policy for accidental ingestion of sensitive data
      • The Observe system user
      • Observe support holiday schedule
    • Observe helpful hints
      • Can I change the name of an Observe instance?
      • What is my customer ID?
      • How do I use a formula?
      • How many monitors are we using?
      • How many queries are we using?
      • How much ingest and transform are we using?
      • How do I make a service appear in Service Explorer?
      • What is the system datastream?
  • Observe tutorials
    • Tutorial: Model weather data
    • Tutorial: Search for improbable travel
    • Tutorial: Create a single stat dashboard
    • Tutorial: Shape metrics
    • Tutorial: Shape aggregated metrics
    • Tutorial: Shape host system metrics
    • Tutorial: Batch data ingestion
  • What’s new
    • Observe platform
    • Observe Agent updates
    • Helm chart updates

Add Data

  • Observe Agent
    • Install Docker image
    • Install on a host
      • Install on Linux
      • Install on Windows
      • Install on macOS
      • Configure the Observe Agent on Linux, Windows, and macOS
    • Install on Kubernetes
      • Helm Chart components
      • Collect annotations and labels
      • Add or delete attributes
      • Prometheus autodiscovery
      • Application RED Metrics
      • Trace Tail Sampling
      • Filter logs or metrics
      • Handle multiline log records
      • Mask sensitive data
      • Collect Statsd metrics
      • Collect Statsd metrics using UDS
      • Node Affinity, Taints, and Tolerations
      • Deploy the Observe Agent to multiple Kubernetes clusters using Rancher
      • Deploy the Observe Agent to a Serverless Kubernetes cluster (ex AWS EKS Fargate)
      • Tune service resource requests and limits
    • Install on Amazon ECS
      • Install on Amazon ECS (EC2)
      • Install on Amazon ECS (Fargate)
    • Install on Ansible
      • Install using Ansible on Linux
      • Install using Ansible on Windows
    • Manage application data volume
    • Configure your own OTel collector
      • Full host example
      • Full Kubernetes example
    • Troubleshooting
  • Cloud integrations
    • Get AWS data into Observe
      • AWS-at-scale data ingestion
      • AWS data collection
    • Microsoft Azure
      • Azure Active Directory (AD)
      • Azure app services
      • Azure cognitive services
      • Azure functions
      • Azure Kubernetes Service (AKS)
      • Azure SQL database
      • Azure SQL managed instances
      • Azure storage account
      • Azure virtual machines
      • Uninstall the Microsoft Azure app
    • Google Cloud Platform quickstart
      • Google Cloud Platform (GCP) ingesting data
  • Observe integrations
    • Observe apps
    • Threat Intel (Basic)
      • Install the basic threat intel app
      • Use unified basic threat intel Datasets with Observe
        • Example: Use unified hosts-domains and URL threatlists
        • Example: Use unified IPv4 threatlists
        • Example: Use unified IPv4 IAAS providers list
    • Fastly
      • Install the Fastly app
      • Uninstall the Fastly app
    • GitHub
      • Install the GitHub app
      • Uninstall the GitHub app
      • Upgrade to GitHub app v0.7.0
    • GitLab
      • Install the GitLab app
      • Uninstall the GitLab app
      • Upgrade the GitLab app to v0.4.0
    • Host Quickstart
    • MongoDB Atlas
      • Install the MongoDB Atlas app
      • Update the MongoDB Atlas app and poller
    • MySQL Database Service
      • Install the MySQL DB app
      • Uninstall the MySQL DB app
    • Prometheus Node Exporter
    • Orca Security
      • Install the Orca Security app
    • PostgreSQL Database Service
      • Install the PostgreSQL DB app
      • Uninstall the PostgreSQL DB app
    • Prometheus Metrics
      • Install the Prometheus Metrics app
      • Tutorial: Get started with Observe and Prometheus
    • Security Onion
      • Install the Security Onion app
    • Service level objectives (SLOs)
      • Install the Service Level Objective app
  • Custom data ingestion
    • Datastreams
    • Sources
      • Amazon API Gateway logs
      • Amazon S3
      • AWS AppSync
      • AWS CloudTrail
      • Amazon EventBridge
      • Amazon CloudWatch Metrics Streams
      • Amazon CloudWatch logs
      • GitHub
      • Google Workspace audit logs
      • Jira tickets
      • Webhook
      • Windows servers
      • Zendesk tickets
    • Forwarders
      • Amazon Kinesis Firehose
      • Elastic Beats
      • Fluent Bit
      • Fluentd
      • Log4j
      • Logstash
      • Observe Lambda
      • OpenTelemetry Collector
      • Prometheus
      • Telegraf
    • Endpoints
      • Datadog Metrics
      • Elasticsearch
      • HTTP
      • Kinesis
      • OpenTelemetry
      • Prometheus
    • Troubleshooting data ingestion
  • APM instrumentation
    • Send Java application data to Observe
    • Send .NET application data to Observe
    • Send Node.js application data to Observe
      • Instrument your Node.js application on a host
      • Instrument your Node.js application in Kubernetes
      • Troubleshooting
    • Send Python application data to Observe
    • Send Ruby application data to Observe
    • Auto-Instrumentation with OpenTelemetry Operator in Kubernetes
  • LLM instrumentation
    • Node.js (server) instrumentation for LLM observability
    • Python instrumentation for LLM observability
    • Instrumenting other languages for LLM observability

OPAL Reference

  • What is OPAL?
    • OPAL language syntax
    • OPAL data types and operators
    • OPAL examples
    • OPAL case sensitivity
    • Parsing time strings in OPAL
    • All OPAL functions
    • OPAL Functions By Category
      • OPAL Aggregate Functions
        • any
        • any_not_null
        • array_agg
        • array_agg_distinct
        • array_union_agg
        • avg
        • count
        • count_distinct
        • count_distinct_exact
        • delta
        • delta_monotonic
        • deriv
        • first
        • first_not_null
        • hash_agg
        • hash_agg_distinct
        • histogram_combine
        • last
        • last_not_null
        • max
        • median
        • median_exact
        • min
        • object_agg
        • otel_exponential_histogram_sum
        • otel_histogram_sum
        • percentile
        • percentile_cont
        • percentile_disc
        • prom_quantile
        • rate
        • stddev
        • string_agg
        • string_agg_distinct
        • sum
        • tdigest_agg
        • tdigest_combine
        • topk_agg
      • OPAL Boolean Functions
        • array_contains
        • arrays_overlap
        • bool
        • bool_null
        • contains
        • ends_with
        • eq
        • gt
        • gte
        • in
        • ipv4_address_in_network
        • is_null
        • like
        • lt
        • lte
        • match_regex
        • ne
        • path_exists
        • same
        • search
        • starts_with
      • OPAL Misc Functions
        • asc
        • coalesce
        • desc
        • exponential_histogram_null
        • float64
        • frame
        • frame_exact
        • frame_following
        • frame_preceding
        • hash
        • histogram_null
        • histogram_quantile
        • if
        • if_null
        • int64
        • m_exponential_histogram
        • m_histogram
        • m_tdigest
        • nullsfirst
        • nullslast
        • numeric_null
        • on
        • order_by
        • parse_hex
        • strlen
        • tdigest
        • tdigest_null
        • variant_null
      • OPAL Networking Functions
        • int64_to_ipv4
        • ipv4
        • ipv4_address_in_network
        • ipv4_network_int64
        • ipv4_to_int64
        • parse_ip
      • OPAL Numeric Functions
        • abs
        • arccos_deg
        • arccos_rad
        • arcsin_deg
        • arcsin_rad
        • arctan_deg
        • arctan_rad
        • avg
        • ceil
        • cos_deg
        • cos_rad
        • count
        • degrees
        • delta
        • delta_monotonic
        • dense_rank
        • deriv
        • ewma
        • exp
        • float64_null
        • floor
        • haversine_distance_km
        • int64_null
        • int_div
        • ln
        • log
        • median
        • median_exact
        • mod
        • percentile
        • percentile_cont
        • percentile_disc
        • pi
        • pow
        • prom_quantile
        • radians
        • rank
        • rate
        • round
        • row_number
        • sin_deg
        • sin_rad
        • sqrt
        • stddev
        • sum
        • tan_deg
        • tan_rad
        • uniform
        • width_bucket
        • zipf
      • OPAL Regex Functions
        • count_regex_matches
        • get_regex
        • get_regex_all
        • match_regex
        • regex
        • replace_regex
      • OPAL Semistructured Functions
        • append_item
        • array
        • array_agg
        • array_agg_distinct
        • array_contains
        • array_distinct
        • array_length
        • array_max
        • array_min
        • array_null
        • array_to_string
        • array_union_agg
        • arrays_overlap
        • concat_arrays
        • detect_browser
        • drop_fields
        • embed_sql_params
        • get_field
        • get_item
        • get_jmespath
        • get_regex_all
        • index_of_item
        • insert_item
        • intersect_arrays
        • m_object
        • make_array
        • make_array_range
        • make_fields
        • make_object
        • merge_objects
        • object
        • object_agg
        • object_keys
        • object_null
        • otel_exponential_histogram_quantile
        • otel_exponential_histogram_sum
        • otel_histogram_quantile
        • otel_histogram_sum
        • parse_csv
        • parse_ip
        • parse_json
        • parse_kvs
        • parse_url
        • path_exists
        • pick_fields
        • pivot_array
        • prepend_item
        • slice_array
        • sort_array
        • split
        • tokenize
        • topk_agg
        • unpivot_array
      • OPAL Special Functions
        • case
        • group_by
        • m
        • metric
        • options
        • primary_key
        • pk
        • tags
        • valid_for
        • window
      • OPAL String Functions
        • array_to_string
        • check_json
        • concat_strings
        • contains
        • decode_base64
        • decode_uri
        • decode_uri_component
        • detect_browser
        • editdistance
        • embed_sql_params
        • encode_base64
        • encode_uri
        • encode_uri_component
        • ends_with
        • format_time
        • get_regex
        • int64_to_ipv4
        • ipv4_address_in_network
        • label
        • left
        • like
        • lower
        • lpad
        • ltrim
        • parse_csv
        • parse_kvs
        • parse_timestamp
        • pivot_array
        • position
        • regex
        • replace
        • replace_regex
        • right
        • rpad
        • rtrim
        • sha2
        • split
        • split_part
        • starts_with
        • string
        • string_agg
        • string_agg_distinct
        • string_null
        • substring
        • tokenize
        • tokenize_part
        • trim
        • unpivot_array
        • upper
        • variant_type_name
      • OPAL Time Functions
        • abs
        • avg
        • bin_end_time
        • bin_size
        • bin_start_time
        • delta
        • delta_monotonic
        • deriv
        • duration
        • duration_hr
        • duration_min
        • duration_ms
        • duration_null
        • duration_sec
        • ewma
        • format_time
        • from_milliseconds
        • timestamp_ms
        • from_nanoseconds
        • timestamp_ns
        • from_seconds
        • timestamp_s
        • histogram_fraction
        • median
        • median_exact
        • now
        • parse_duration
        • parse_isotime
        • parse_timestamp
        • percentile
        • percentile_cont
        • percentile_disc
        • query_end_time
        • query_start_time
        • rate
        • row_end_time
        • row_timestamp
        • row_start_time
        • stddev
        • sum
        • tdigest_agg
        • tdigest_quantile
        • timestamp_null
        • to_days
        • to_hours
        • to_milliseconds
        • to_minutes
        • to_nanoseconds
        • to_seconds
        • to_weeks
        • valid_for
      • OPAL Window Functions
        • any
        • any_not_null
        • array_union_agg
        • avg
        • count
        • count_distinct
        • count_distinct_exact
        • delta
        • delta_monotonic
        • dense_rank
        • deriv
        • ewma
        • first
        • first_not_null
        • hash_agg
        • hash_agg_distinct
        • lag
        • lag_not_null
        • last
        • last_not_null
        • lead
        • lead_not_null
        • max
        • median
        • median_exact
        • min
        • object_agg
        • percentile
        • percentile_cont
        • percentile_disc
        • rank
        • rate
        • row_number
        • stddev
        • sum
        • tdigest_agg
        • tdigest_combine
        • topk_agg
      • OPAL Deprecated Function Aliases
        • any_null
        • array_pivot
        • array_unpivot
        • countdistinct
        • countdistinctexact
        • decodebase64
        • denserank
        • encodebase64
        • endswith
        • groupby
        • ifnull
        • isnull
        • makeobject
        • match_regex_all
        • medianexact
        • milliseconds
        • nanoseconds
        • orderby
        • parsehex
        • parseip
        • parseisotime
        • parsejson
        • parsekvs
        • parseurl
        • percentilecont
        • percentiledisc
        • primarykey
        • queryendtime
        • querystarttime
        • regex_match
        • regex_replace
        • row_endtime
        • rownumber
        • seconds
        • startswith
        • strcat
        • string_concat
        • validfor
    • All OPAL verbs
    • OPAL Verbs By Category
      • OPAL Aggregate Verbs
        • aggregate
        • align
        • dedup
        • distinct
        • fill
        • histogram
        • make_reference
        • make_session
        • merge_events
        • pivot
        • rollup
        • statsby
        • timechart
        • bucketize
        • timestats
        • unpivot
      • OPAL Filter Verbs
        • always
        • bottomk
        • ever
        • filter
        • filter_last
        • limit
        • never
        • topk
      • OPAL Join Verbs
        • exists
        • follow
        • follow_not
        • fulljoin
        • join
        • leftjoin
        • lookup
        • lookup_ip_info
        • not_exists
        • surrounding
        • union
        • update_resource
      • OPAL Metadata Verbs
        • add_key
        • drop_interface
        • interface
        • make_event
        • make_interval
        • make_metric
        • make_reference
        • make_resource
        • make_session
        • make_table
        • merge_events
        • set_col_enum
        • set_col_immutable
        • set_col_searchable
        • set_col_visible
        • set_label
        • set_link
        • set_metric
        • set_metric_metadata
        • set_primary_key
        • set_pk
        • set_timestamp
        • set_valid_from
        • set_valid_to
        • sort
        • timeshift
        • unset_all_links
        • unset_keys
        • unset_link
        • unsort
      • OPAL Metrics Verbs
        • aggregate
        • align
        • make_metric
        • rollup
        • set_metric
        • timeshift
      • OPAL Projection Verbs
        • drop_col
        • extract_regex
        • make_col
        • pick_col
        • rename_col
      • OPAL Semistructured Verbs
        • extract_regex
        • flatten
        • flatten_all
        • flatten_leaves
        • flatten_single
      • OPAL Deprecated Verb Aliases
        • addfk
        • addkey
        • addmetric
        • changelog
        • coldrop
        • colenum
        • colimmutable
        • colmake
        • colpick
        • colregex
        • colrename
        • colshow
        • droptime
        • fkdrop
        • flattenall
        • flattenleaves
        • flattensingle
        • makeresource
        • makesession
        • merge_event
        • mergeevent
        • reaggregate
        • setlabel
        • setpk
        • setvf
        • setvt
  • OPAL tutorials
    • OPAL 101 – Get started with OPAL
    • OPAL 102 – Shape structured and unstructured data using stages
  • OPAL performance cookbook
    • Use approximate values when feasible
    • Avoid large JSON blobs
    • Cast data columns extracted from JSON
    • Create intermediate Datasets
    • Filter earlier in OPAL scripts
    • Use filter instead of ever
    • Flatten less first
    • Limit Worksheet time windows
    • Limit resource time windows
    • Limit valid event time windows
    • Look for hidden columns
    • Use make_events before window functions
    • Mark immutable resource columns
    • Make resources from multiple Datasets
    • Prefer join to lookup
    • Prefer lead and lag to first and fast
    • Prefer timechart to timestats
    • Limit query time windows
    • Define stricter time filters in queries
    • Reduce columns earlier in OPAL scripts
    • Extract from JSON instead of using flatten
    • Type data columns
    • Use interval for ephemeral things
  • OPAL helpful hints
    • What characters are allowed in a field name?
    • How should I aggregate data?
    • How do I make a standard deviation anomaly detection monitor?
    • How do I find average values over time?
    • How do I change a field type?
    • How do I compare time ranges in OPAL?
    • How to create an array from existing columns?
    • How do I compute a cumulative count over any interval grouped by multiple fields?
    • OPAL duration conversion
    • How do I filter by a list of terms?
    • How do I test for multiple values in a dashboard parameter?
    • Filter out unwanted data
    • How do I Find the size of a column?
    • Formatting large numbers for readability
    • How do I measure drift in a metric over time?
    • How do I sort dates by time when they are sorted alphabetically?
    • How to sort digits numerically when they are sorted alphabetically?
    • How do I map fields to each other?
    • How do I pivot a dataset?
    • How do I measure drift in a resource over time?
    • How do I unpivot data?
    • Can I use OPAL to rename a dataset?
    • How do I prevent lost columns?
    • What is best practice for OPAL field extraction?
    • What is best practice for case statements in OPAL?
    • What is the best practice for field naming in OPAL?
    • What is best practice for managing the schema interface between datasets?
    • What is the best practice for using durations in OPAL?
    • OPAL case sensitive filtering with contains
    • OPAL case sensitive filtering with equals
    • OPAL case sensitive filtering with match_regex
    • OPAL case sensitive filtering with tilde and regex
    • OPAL case sensitive filtering with tilde
    • How do I compare values in OPAL?
    • How do I extract the numeric parts of a message?
    • How do I extract parameters from a URL?
    • How should I rollup aggregated data?
    • How do I search by time?
    • How to set the type of a column?
    • How do I split a field?
    • How do I calculate a running standard deviation?
    • OPAL timestamp conversion
    • How do I find a weighted average?
    • How do I use time window functions?

Products

  • Observe AI
    • Observe AI SRE
    • MCP Server
    • Get help with o11y AI
  • Log management
    • Log Explorer
    • Use log correlation
    • Use live mode in Logs Explorer
    • Add new datasets to Log Explorer
    • Unified Search syntax
      • Migrate to Unified Search syntax
    • Query history
  • APM observability
    • Service management
    • Troubleshoot slow databases / n+1 issues
    • Monitor and track new deploys on your service
    • Associate Infrastructure Metrics with Services
    • Trace Explorer
    • Monitor business applications
    • View logs associated with a trace
    • APM reference
  • LLM observability
    • LLM telemetry reference
  • Metrics
    • Collect and use metrics
    • Metrics Explorer
    • Add custom metric Datasets
    • Add metrics using the Metrics Expression Builder
  • Kubernetes observability
    • Install the Observe Agent
    • Kubernetes visibility
    • Kubernetes Resource Utilization
    • Kubernetes data collection and agent interface
  • Snowflake observability
    • Observe for Snowflake components
    • Prepare Observe to receive Snowflake data
    • Create virtual warehouse to run Observe for Snowflake
    • Install the Observe for Snowflake application
    • Configure the Observe for Snowflake application
    • Send data from Snowflake to Observe
    • Snowflake data in Observe
    • Manage Snowflake with Observe

Platform Capabilities

  • Create dashboards
    • Use dashboards to visualize data
    • Generate dashboard reports
    • Create data links
  • Create Monitors and alerts
    • Create a threshold monitor
    • Create a count monitor
    • Create a promote monitor
    • Monitor rules and severities
    • Mute monitors
    • Configure shared actions
      • Customize alert messages
      • Mustache template reference
      • Sample action for Microsoft Teams
      • Sample action for PagerDuty
    • Work with alerts in Observe
      • Alerting example: shared actions and monitors
    • Tune and troubleshoot monitor health
    • Negative Monitoring
    • Monitor anti-patterns
  • Create and share worksheets
    • Work with data formats and types
  • Create and share Datasets
  • Pivot between data types
  • Correlation tags
  • Resources
  • Data export
  • Conditional formatting

Manage Observe

  • Workspace settings
    • Configure name, icon, and query settings
    • Set default permissions using RBAC
      • Adding RBAC with Terraform
    • Configure connections
    • Instance settings
  • Manage users and access
    • Manage local users
    • Local authentication policies
    • Manage groups and members
    • Single sign-on (SSO)
      • Configure Microsoft Entra ID (formerly Azure Active Directory) single sign-on (SSO)
      • Configure Microsoft Active Directory Federation Service (ADFS)
      • Configure Google Workspace SAML and single sign-on (SSO)
      • Configure Okta for SAML and single sign-on (SSO)
      • Configure OneLogin for single sign-on (SSO)
      • Configure Ping Identity PingOne for single sign-on (SSO)
    • Audit trail
  • Manage credits and usage
    • Use Acceleration Manager with Datasets
    • Use Credit Manager to manage compute usage
      • Configuring Credit Manager settings via Terraform
      • View your ingest usage in the License Dashboard
      • View your compute credit usage in the Usage Dashboard
    • Usage attribution
    • Invoices
    • Drop filters
  • Customize the Home page
    • Create and use favorites
  • Uploaded documents

Develop with Observe

  • Export query results
  • Developer toolkit overview
  • URL query parameters
  • CLI tool overview
    • login command
    • help command
    • get command
    • list command
    • query command
  • Snowflake outbound sharing
  • Observe Terraform provider

Knowledge Base

  • Key Observe concepts
    • Advanced Observe concepts
    • Explore data
    • About queries and on-demand acceleration
    • Observe Datasets and time
      • Foreign keys
      • Resource primary keys
      • Resource times
      • Reference tables
  • Observasaurus
    • Observasaurus: Accelerate
    • Observasaurus: Agents
    • Observasaurus: Channel
    • Observasaurus: Channel Action
    • Observasaurus: Collectors
    • Observasaurus: Console
    • Observasaurus: Dashboards
    • Observasaurus: Dataset Graph
    • Observasaurus: Datasets
    • Observasaurus: Datastreams
    • Observasaurus: Distributed Tracing
    • Observasaurus: Endpoints
    • Observasaurus: Explorers
    • Observasaurus: Freshness
    • Observasaurus: Link
    • Observasaurus: Logs
    • Observasaurus: Log Analytics
    • Observasaurus: Machine Data
    • Observasaurus: Metrics
    • Observasaurus: Metrics Analytics
    • Observasaurus: Metrics Tags
    • Observasaurus: Monitoring
    • Observasaurus: Monitors
    • Observasaurus: Observability
    • Observasaurus: OPAL
    • Observasaurus: Pollers
    • Observasaurus: Queries
    • Observasaurus: Resources
    • Observasaurus: Security Observability
    • Observasaurus: SIEM
    • Observasaurus: Spans
    • Observasaurus: Stages
    • Observasaurus: Streamable
    • Observasaurus: Telemetry
    • Observasaurus: Temporal SQL
    • Observasaurus: Time Series
    • Observasaurus: Tokens
    • Observasaurus: Traces
    • Observasaurus: Unstreamable
    • Observasaurus: Worksheets
  • Visualization types
  • Observe deployment regions
  • Keyboard shortcuts
  • Units of measurement
Back to top

Create data links¶

From any Observe dashboard, you can create a link from a panel within the dashboard to another dashboard, link, logs, metrics, or traces. You can use this to build a custom dashboard to view specific data without having to access multiple dashboards. Just pick the panels you want to see and link them to a single custom dashboard.

You can create data links to the following types of targets, including dashboards:

Link target

Description

Dashboard

Create a copy of the original dashboard panel on another dashboard.

Link

Create a link to the original panel on another page by providing the URL of the page.

Logs

Create a link to the original panel on a logs dataset.

Traces

Create a link to the original panel on a metrics dataset.

Metrics

Create a link to the original panel on a metric.

Create a data link from a chart¶

Perform the following steps to create a data link. In this example, we create a link from a new dashboard to our o4s/Query History dashboard.

the Query Errors panel on the Snowflake Query History dashboard so that it can be viewed from Kevin’s Snowflake Stuff dashboard:

  1. Select Dashboards in the navigation panel.

  2. Create a new dashboard to sort Snowflake queries by ROLE. For example:

Add a data link from your dashboard

Figure 1 - Add a data link from your dashboard

  1. In the Chart settings, expand the Data links section, then click Add link to create a data link.

  2. Alternatively, you can save the query as a panel on your dashboard, and create a data link from the panel. For example:

Add a data link from a dashboard card

Figure 2 - Add a data link from your a dashboard card

  1. When you add a link, provide the destination for the link, along with any other parameters. In this example, we select o4s/Query History as the target dashboard, and leave the other parameters with their default values:

Add data link details

Figure 3 - Add data link details

  1. Click Add to create the link.

  2. Check the Data links section to verify that the link is created.

Verify the data link is created

Figure 4 - Verify the data link is created

  1. Click Apply to save the changes to this panel.

  2. Click Save changes to save the changes to this dashboard.

Create a data link from table¶

You can create data links from a table, but the way to access this functionality is slightly different.

In this example on the o4s/Query History dashboard, we see the Query Errors List panel is represented as a table instead of a chart:

Create a data link from a table

Figure 5 - Create a data link from a table

In edit mode, click the Edit (pencil) icon in the panel. To create data link from table visualizations, click Links, and the rest of the procedure is the same as in the earlier example.

Create a data link from a table vizualization

Figure 6 - Create a data link from a table vizualization

Next
Create Monitors and alerts
Previous
Generate dashboard reports
Copyright © 2017-2025 Observe, Inc.
Made with Furo

Have comments about the Observe docs?

On this page
  • Create data links
    • Create a data link from a chart
    • Create a data link from table