Technical guide

RingDNA technical guide

Everything an engineer needs to connect RingDNA to Salesforce: architecture, the exact build steps with real code, field mapping, the data model, security, monitoring, and the pitfalls we design out.

Platform: RingDNAType: Sales dialerDirection: Two-wayObjects: Task, Call

RingDNA sales-dialer package configuration. We have shipped it across 2 client projects and 3 build tasks.

The value is that the action happens automatically from the record your team already works in, with the result tracked back in Salesforce.

We deploy the managed package the right way: sandbox first, licenses and permission sets assigned, templates and layouts configured, and automation wrapped around it so it fits your process.

Every RingDNA build is delivered by a senior Salesforce architect on a fixed price, tested end to end in a sandbox, deployed to your org, and backed by 30 days of hypercare. You own the result: documented, source-controlled, and free of black-box middleware lock-in.

the connection at a glancesync active
01RingDNA
02Managed package
03Salesforce records
Integration facts

How RingDNA connects to Salesforce

The real connection surface: how it authenticates, what it is built on, the endpoints and events in play, and where the reference docs live.

Connects via
Revenue.io (RingDNA) managed package: a native intelligent dialer (softphone) that runs inside Salesforce via Open CTI, no separate CTI adapter or middlewareClick-to-dial from any Salesforce number; auto-logs calls, recordings, dispositions and tasks in real timeA Lightning/Open CTI utility-bar softphone with call routing and real-time guidance
Package
Revenue.io (RingDNA) managed package
Authentication
OAuth 2.0 / SSO between the Revenue.io app and Salesforce via a Connected App; the user authenticates with Salesforce credentials
API type
SDK

Key endpoints

Salesforce Open CTI JavaScript API (utility-bar softphone)Automatic Task/Activity creation for call loggingClick-to-dial / screen-pop from Lead and Contact records
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From our builds

What we build for a RingDNA integration

The RingDNA sales-dialer package installed and later uninstalled to reduce org load.

2client projects
3delivery tasks shipped

Sales dialer

Installed and configured the RingDNA sales-dialer package, and later removed it cleanly to reduce org load when priorities changed.

Real components we ship

RingDNA (Revenue.io) dialerSales-dialer packageOrg-load cleanup
Step 0

What you will need

What we confirm on both sides before writing a line of code.

A Salesforce edition with API access (Enterprise, Unlimited, or Developer)
The managed package, installed in a sandbox first
A dedicated sandbox to build and test in
A RingDNA account on a plan with API access
System Administrator access on both systems
A dedicated integration user with a minimum-access permission set
Agreement on the objects, fields, and sync direction for the RingDNA data
How it works

From trigger to record, end to end

The production runtime flow, with what happens in each system.

runtime sequence4 steps
  1. 01

    Trigger in Salesforce

    In Salesforce

    A record change or a button starts the RingDNA action.

    $A record-triggered flow or a Quick Action fires the process.
  2. 02

    Payload is built

    In Salesforce

    A flow or Apex assembles the request and maps the Salesforce fields.

    $Serialized with JSON.serialize; the callout is queued to run asynchronously.
  3. 03

    Call RingDNA

    In transit

    The request is sent to RingDNA.

    $HTTPS callout via callout:NamedCredential over Managed package, with no secrets in code.
  4. 04

    Result written back

    In Salesforce

    RingDNA performs the action and the status is written back.

    $Response parsed; status and external ids stored on the record for audit.
Architecture

How the data actually flows

Left to right: sources, the integration layer, Salesforce, and the outcomes it drives.

system architecture
Sources
Salesforce record
Flow / Apex trigger
Integration layer
Payload build
RingDNA API call
Status write-back
Salesforce
call task
Related records
Reports
Outcomes
Action done automatically
Status on the record
No app-switching

// sources feed the integration layer, Salesforce persists, outcomes ship

Data model

The objects behind the integration

The Salesforce objects we read and write, what each one is for, and the fields that carry the load.

ObjectPurposeKey fields
call taskThe primary Salesforce record RingDNA data maps onto.External_Id__c, Name, Status
AccountMatched or created for the customer or company behind the record.Name, External_Id__c
Error_Log__c (custom)Captures every request, response, and failure so anything can be replayed.Payload__c, Status__c, Related_Id__c

Salesforce objects typically in play for RingDNA

Task (call logging)LeadContactOpportunityCampaign
Step by step

Build the RingDNA integration

Every step we follow to ship a production-grade build, with the code that matters.

1

Plan the integration and prerequisites

We line up licenses and access before installing anything.

  • A Salesforce edition compatible with the package, and a sandbox to install into first
  • A RingDNA account and admin rights on both systems
  • The records, templates, and outcomes agreed up front
2

Install the managed package

We install RingDNA the safe way.

  • Install from AppExchange into a sandbox first, choosing Install for All Users
  • Approve the third-party access it requests, and note the API or remote endpoints it uses

Pro tip: sandbox first

Install the managed package in a sandbox first and choose Install for All Users, so you can configure and test safely before anything touches production.

3

Assign licenses and permission sets

We give the right users the right access.

  • Assign the package licenses and its permission sets to the integration user and the end users who need it
4

Authenticate to RingDNA

We connect the package to your RingDNA account securely.

  • Authenticate RingDNA via OAuth and configure the org-wide and per-user settings
  • Confirm any Named Credential or Remote Site the package relies on is configured
5

Configure objects, templates, and layouts

We set RingDNA up around how you actually work.

  • Configure the RingDNA-specific pieces such as templates, gateways, or components
  • Add the Lightning components and actions to the right page layouts
  • Map Salesforce fields into RingDNA so documents and records are accurate every time
6

Build automation around the package

We make RingDNA fire from the right place and write results back.

  • Record-triggered flows or Quick Actions invoke the package's invocable methods
  • Status and results are written back onto the Salesforce record automatically
GenerateDocument.clsapex
public class GenerateDocument {
  @InvocableMethod(label='Generate document via package')
  public static void run(List<Id> recordIds) {
    // a record-triggered flow calls this; it hands off to the managed package
    for (Id recId : recordIds) {
      pkg.DocumentService.createFromTemplate(recId, 'Order Form');
    }
  }
}
7

Test in a sandbox

We validate the full flow before go-live.

  • Run real scenarios end to end and confirm the records, documents, and callbacks
8

Deploy and monitor

We ship it and support it.

  • Deploy configuration via change sets and assign permission sets in production
  • Monitor callbacks and errors, with 30 days of support
Field mapping

Example field mapping

How RingDNA data lands on your Salesforce records. We tailor the full mapping to your org.

RingDNASalesforceNotes
Salesforce call taskRingDNA recordDirection: Salesforce to RingDNA
Record idRingDNA external referenceStored back on the record
Key fieldsRingDNA fieldsMapped per template
StatusRingDNA statusWritten back on completion
Created / updated atLastModifiedDateEnables delta sync and audit
Owner or repcall task.OwnerIdAssignment rules or a default owner
API & limits

Rate limits and governor limits

The platform constraints we design around, so the integration stays fast and never falls over at scale.

Specific to RingDNA

Runs as a native managed package, inheriting Salesforce API and Apex limits for logging automation
Requires a paid Revenue.io/RingDNA subscription per seat
The public REST/GraphQL surface is limited; integration is package-native

Salesforce platform limits

The managed package uses its own API budget. We confirm the limits on your plan before go-live.
RingDNA rate limits apply to bulk operations. We chunk batches to stay within them.
Security

Secure by design

How we keep the integration safe, least-privilege, and compliant.

Secrets stored in Named Credentials and permission sets, never in code or metadata
A least-privilege integration user, with field-level security and sharing scoped tight
All traffic over TLS, with signature verification on inbound events
Shield Platform Encryption available for sensitive fields
A full audit trail: every request and response logged for traceability
Every automation runs as a dedicated integration user, so actions are attributable and revocable
Sandbox-first delivery and change-set deployment keep production changes reviewed and controlled
Monitoring

Monitoring, retries, and reliability

What keeps the integration trustworthy in production, and how you know the moment something needs attention.

Every request and response is logged to a custom Error Log object, tagged with the related record id.
Failed calls retry with exponential backoff; anything still failing lands in a dead-letter queue for review.
Idempotency keys guarantee a retried or duplicate event never double-posts a record.
A dashboard surfaces failures, latency, and volume so problems are caught before users notice.
Optional email or Slack alerts fire on repeated failures or a stalled sync.
Testing & deployment

How we test, deploy, and hand it over

The quality gates every build clears before it touches your production org.

Apex unit tests with HttpCalloutMock cover the success path, failure handling, and a 200-record bulk case, at 75 percent or higher coverage.
The full flow is validated in a sandbox against real sample data and the edge cases that matter.
A parallel run reconciles the integration against your live system before cutover.
Everything deploys through change sets or an SFDX and CI pipeline, under version control.
Permission sets, sharing, and Named Credentials are configured in production, then we run 30 days of monitored hypercare.
Pitfalls

Common pitfalls we design out

The mistakes that quietly break integrations, and how we avoid each one.

Config lost between orgs

Deploy configuration via change sets and document the setup.

Users cannot see the feature

Assign the package license and permission set to the right users.

Vendor limits hit unexpectedly

Confirm the API and volume limits on your plan before go-live.

No visibility when it breaks

We log every call and surface failures on a dashboard with alerts, so an issue never goes unnoticed.

Reporting drifts from reality

External-id keys and a delta timestamp keep Salesforce and the source reconciled, so reports stay trustworthy.

Gotchas specific to RingDNA

It is a native CTI/softphone package, not a data-sync connector; value depends on the utility bar and Open CTI
Multiple Revenue.io listings exist; the dialer is separate from the analytics packages
Not to be confused with the similarly named Ring.io power dialer, a different vendor
FAQ

RingDNA integration: technical FAQs

How do you authenticate RingDNA with Salesforce?

We connect RingDNA using the managed package with OAuth and store every secret in Salesforce Named Credentials with a permission set, so nothing is hard-coded or shipped in metadata.

Does the RingDNA integration handle bulk volume?

Yes. All Apex is bulkified, volume moves to Queueable or Batch Apex, and we respect the Salesforce governor limits (SOQL, DML, and callout caps per transaction).

How do you prevent duplicate records?

We upsert on a unique external-id field, so a retried or duplicate payload is idempotent and never creates a second call task.

How is the integration tested and deployed?

Apex tests with HttpCalloutMock cover the success, failure, and a 200-record bulk case (75 percent plus coverage). We deploy via change sets or an SFDX and CI pipeline.

What happens if RingDNA or Salesforce is briefly down?

Failed calls retry with backoff and land in an Error Log object with alerting, so nothing is lost and any event can be replayed.

Do we still need custom code?

Usually only a thin layer: record-triggered flows or a small invocable Apex method to fire the package and write results back. The heavy lifting is the managed package.

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