Two-way sync
Changes in Gladly or Splunk instantly reflect in both systems. No stale data, no manual imports.
Keep Gladly and Splunk in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Splunk turns data into dashboards, cohorts, and metrics; Gladly is where customers, contacts, deals, and activity actually live and change. The two meet wherever a number is really about a specific account, segment, or stage — yet most teams feed the CRM into analytics as a nightly extract or a hand-maintained connector, so the reporting lags the business and can't be sliced by the customers and segments that matter.
Stacksync syncs Tasks, Customer profiles, Conversations, Conversation items from Gladly into Splunk field by field and within seconds, so every dashboard and cohort runs on current records instead of a stale copy. Because the connection runs both ways, the cohorts, scores, and metrics computed in Splunk write back to fields in Gladly, landing where the people working accounts can see them. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Accounts, contacts, deals, and activity from Gladly sync into Splunk, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.
New records and status changes in Gladly appear in Splunk within seconds, so dashboards and cohorts track the current pipeline rather than last night's export.
Cohorts, scores, and computed metrics from Splunk sync onto fields in Gladly, putting the analysis where reps and owners actually work the accounts.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Gladly objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | HTTP Event Collector The write-in path: POST events and metrics to /services/collector (port 8088, or 443 on Splunk Cloud) authenticated with a per-input HEC token, so external records are indexed alongside logs for search and correlation. | Conversations is specific to Gladly and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Users and Roles Accounts at /services/authentication/users and role/capability definitions at /services/authorization/roles, with full CRUD; exported for access reviews or provisioned from an identity source of truth. | Conversation items is specific to Gladly and Users and Roles to Splunk — each maps to any object or custom field on the other side. | |
| Agents User records used to attribute work in CX analytics. | Dashboards Simple XML dashboard and view definitions at /servicesNS/{owner}/{app}/data/ui/views; exported for backup and audit, or created and updated programmatically from version control. | Agents is specific to Gladly and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Search Results SPL searches dispatched via POST /services/search/jobs return a search ID (SID); results are pulled from /services/search/jobs/{sid}/results once the job completes, or synchronously via oneshot/export mode. The primary read path for streaming indexed events out to a warehouse. | Topics is specific to Gladly and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| Tasks Follow-up work items created from external triggers or synced for workload reporting. | Saved Searches Scheduled searches, reports, and the definitions behind alerts at /services/saved/searches with full create, update, and delete. Read out for governance and coverage review, or provisioned and updated from a config source. | Tasks is specific to Gladly and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Fired Alerts Triggered alert instances listed at /services/alerts/fired_alerts; alert configuration (conditions, schedule, actions) lives on the corresponding saved search. Landed in a database for alert-trend and detection-coverage reporting. | Customer profiles is specific to Gladly and Fired Alerts to Splunk — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionGladly notifies Stacksync of record changes through webhook events. Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
DetectionSplunk notifies Stacksync of record changes through webhook events. Time-range searches over indexed events (earliest/latest on _time or _indextime).
DeliveryEach detected change is written to Gladly through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gladly–Splunk connection.
Changes in Gladly or Splunk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gladly or Splunk data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gladly or Splunk record.
Track your Gladly ⇄ Splunk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gladly and Splunk.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Gladly and Splunk with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Gladly and Splunk objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Gladly and Splunk: authenticate both systems, choose the objects to sync (such as Gladly's Conversations and Conversation items), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Gladly: Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports. On Splunk: Time-range searches over indexed events (earliest/latest on _time or _indextime); events are immutable once indexed, so incremental extraction advances a time cursor rather than a modified-date CDC feed. Config objects such as saved searches and KV Store are polled; alerts can push via a saved-search webhook action. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Splunk side: Indexes, HTTP Event Collector, Users and Roles, Dashboards, plus custom fields where Splunk exposes them. On the Gladly side: Tasks, Customer profiles, Conversations, Conversation items. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Gladly and Splunk: Customer context in Splunk; Report on live CRM data; Where Gladly accepts updates: segments and scores back on the record. Accounts, contacts, deals, and activity from Gladly sync into Splunk, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.
Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. Splunk: REST API (management API + HTTP Event Collector). Authentication: HTTP Basic (username/password), or a session key from POST /services/auth/login sent as Authorization: Splunk <key>, or a bearer authentication token (Authorization: Bearer <token>). The HTTP Event Collector uses its own per-input token (Authorization: Splunk <hec-token>). Management API defaults to port 8089; HEC to port 8088 (443 on Splunk Cloud). Stacksync manages authentication, retries, and rate limits on both sides.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 383 integrations available for Gladly and Splunk.