If you trust your data syncs to just “work,” you’ll get burned. Data breaks for all sorts of reasons: bad mappings, missing fields, flaky APIs. The real pros don’t just set up Syncari and walk away. They put systems in place to catch issues early and keep integrations running clean. If you’re responsible for making sure data flows smoothly between systems, this guide is for you.
Let’s get straight to it: here’s how to actually monitor, troubleshoot, and audit your Syncari data sync jobs—without the guesswork or fluff.
1. Know What “Healthy” Looks Like
Before you can spot trouble, you need a baseline.
- Pick your “golden” records. These are records that should always sync cleanly. Use them as test cases.
- Decide what matters. Is it total records synced, error counts, or specific fields (like lead status)?
- Don’t get lost in the weeds. You don’t need to track every stat Syncari offers—just the ones that tell you if things are working.
2. Use Syncari’s Dashboard—But Don’t Rely on It Alone
Syncari gives you a dashboard with job statuses, error rates, and flow metrics. It’s a good starting point, but don’t treat it as your only source of truth.
- What works: The dashboard quickly shows if jobs are running or failing. You can spot obvious problems.
- What doesn’t: It won’t catch subtle data drift or logic errors. A green checkmark doesn’t mean your data is actually right.
- What to ignore: Flashy graphs that don’t tie back to your key metrics. Stick to what actually matters for your business.
Pro tip: Bookmark the dashboard, but don’t make it your only monitoring tool.
3. Set Up Job Notifications and Alerts
You don’t have time to stare at dashboards all day. Make Syncari tell you when something’s off.
- Enable email or Slack alerts for job failures. Go to the job settings and set up notifications for errors or long runtimes.
- Tune your thresholds. Don’t alert on every minor blip—set thresholds that matter (e.g., more than 5 errors in a run, or job timeouts).
- Test your alerts. Trigger a test failure and make sure your team actually gets notified.
What works: Alerts for hard failures (like connection drops or schema mismatches).
What doesn’t: Alert fatigue—don’t spam yourself with noise.
4. Track Sync Job Runs and Their Details
The “job runs” or “executions” tab in Syncari is where the rubber meets the road. This is where you dig into what really happened, run by run.
- Look at status: Success, warning, or failure.
- Check timestamps: Are jobs running when you expect? Any gaps?
- Drill into logs: Click into failures to see which records or fields caused problems.
Pro tip: Keep notes on recurring errors—these are often symptoms of a deeper mapping or schema issue.
5. Audit Data Changes—Not Just Job Status
A job can “succeed” even if the data’s wrong. Spot-check your data.
- Pull a sample of synced records from both sides. Compare them—fields, formats, values.
- Use the Syncari “Audit Trail.” This logs every change, including who changed what, when, and where it went.
- Watch for silent failures. Sometimes records are skipped due to filters or conditions. Check counts—you shouldn’t have big discrepancies between systems.
What works: Regular audits, especially after changes to mappings or logic.
What doesn’t: Trusting automation blindly. Automation is only as good as its last config.
6. Handle Errors and Retries the Smart Way
Errors will happen. The trick is to handle them gracefully—not to pretend you can eliminate them.
- Review error logs after each run. Look for patterns: is it the same field or object every time?
- Retry logic: Syncari lets you manually or automatically retry failed records. Use this with caution—fix the root cause first.
- Don’t just “retry all.” If there’s a mapping bug, you’ll just keep failing.
Pro tip: Tag or flag records that keep failing. Sometimes it’s better to exclude them than to keep banging your head against the wall.
7. Document Your Flows and Exceptions
You’ll thank yourself later if you keep basic documentation.
- Note which fields map to which. Especially custom fields or transformations.
- Record known weirdness. Example: “On Wednesdays, Salesforce sometimes delays Account updates.” (Yes, this stuff happens.)
- Keep a change log. Every time you change a mapping, note it somewhere. When something breaks two weeks later, you’ll have a clue why.
What works: Simple, living docs your team can actually find.
What doesn’t: Huge, unloved wikis nobody updates.
8. Regularly Review and Tune Your Monitoring Setup
Your data and integrations will change. Don’t let your monitoring get stale.
- Schedule a monthly review. Are your alerts still relevant? Is the right person getting notified?
- Update your golden records and sample checks. When you add new fields or products, update your test cases.
- Prune unused jobs and flows. An old sync job you forgot about can break and cause noise.
What works: Small, regular check-ins.
What doesn’t: Waiting until something explodes.
9. Know When to Escalate
Some issues are bigger than you. Know when to rope in Syncari support or your engineering team.
- Syncari support: They’re actually pretty helpful for hairy platform bugs or API weirdness.
- Internal teams: If you’re seeing systemic data issues, it might be upstream (like a CRM bug).
Don’t waste hours banging your head against something that’s not fixable in your role.
Wrapping Up: Keep It Simple, Iterate Often
You don’t need a PhD in data ops to keep your Syncari jobs clean, but you do need to pay attention. Start with basic monitoring and regular audits, automate what you can, and keep your setup nimble. If you make small improvements with each review, you’ll avoid most disasters—and you’ll actually know what’s going on with your data. Don’t overcomplicate it. Spot problems early, fix them for good, and move on. That’s how error-free integrations really happen.