Sherlock Calls
for Datadog + Genesys Cloud
Datadog monitors every layer of your infrastructure with metrics and traces. Genesys Cloud manages enterprise contact center interactions and routing. When you need to investigate across both, the evidence is split between two dashboards neither of which knows the other exists. Sherlock Calls bridges them — no code, no exports, no manual joins. Ask once from Slack and get a sourced answer in under 5 seconds.
TL;DR — What this combination does
- 1
Sherlock Calls connects to Datadog, Genesys Cloud simultaneously — read-only, no code changes, no webhooks — and lets you query both with a single Slack message.
- 2
Ask questions that neither Datadog nor Genesys Cloud can answer alone. Datadog shows infrastructure events — not how they map to call failures or customer impact. Genesys Cloud shows queue KPIs — not how they connect to revenue or churn. Sherlock deduces the complete picture from both.
- 3
No dashboard switching, no manual joins, no fog of uncertainty — ask in Slack and receive a sourced answer with evidence from every connected provider in under 5 seconds. The game is afoot.
<5s
Answer to any observability + contact center query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Datadog + Genesys Cloud without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Infrastructure incidents degrade contact center quality invisibly
A Genesys Cloud infrastructure event can manifest as elevated handle times, dropped calls, or IVR failures in Datadog. Without correlating both, your contact center team diagnoses symptoms while engineering sees metrics — neither sees the full picture.
Contact center SLA depends on infrastructure health you don't track together
Your Datadog SLA is partly a function of Genesys Cloud uptime. But when Datadog SLAs breach, the root cause investigation starts in the wrong place if Genesys Cloud data isn't on the same timeline.
Post-incident analysis misses the infrastructure trigger
After a Datadog quality incident, the Genesys Cloud event that caused it is rarely part of the post-mortem. The two teams work from different timelines — and the same degradation recurs next quarter.
Cross-Provider Questions
What teams ask Sherlock about Datadog + Genesys Cloud
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“Did any Datadog infrastructure events correlate with Genesys Cloud interaction quality degradation yesterday?”
- SC“Show me all Genesys Cloud interactions with elevated handle time during Datadog alert windows”
- SC“What's the Genesys Cloud CSAT trend during periods of Datadog service degradation this month?”
- SC“Which Datadog services most frequently precede Genesys Cloud contact center performance dips?”
- SC“Give me a joint timeline of Genesys Cloud SLA breaches and Datadog incidents for the last 7 days”
Setup
Connect Datadog + Genesys Cloud to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Just credentials and questions.
- 1
Connect Datadog
Add your Datadog credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Datadog configuration required.
- 2
Connect Genesys Cloud
Add your Genesys Cloud credentials. Sherlock indexes all contact center queues, interaction records, and agent metrics automatically.
- 3
Ask your first cross-provider question. The game is afoot.
Type any question about your combined Datadog + Genesys Cloud stack in Slack. Sherlock queries all connected platforms in parallel, correlates the evidence, and returns a sourced answer in under 5 seconds.
FAQ
Common questions about Sherlock + Datadog + Genesys Cloud
How does Sherlock Calls connect Datadog and Genesys Cloud data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Datadog, Genesys Cloud in parallel, correlates the results by timestamp and shared identifiers, and produces a single sourced answer — the same way a good detective correlates evidence from multiple witnesses.
Do I need to set up any data pipelines between Datadog and Genesys Cloud?
- No. Sherlock Calls is entirely pull-based — it queries both APIs on demand when you ask a question. There are no webhooks, no ETL pipelines, no data warehouses, and no code changes required in any of the connected platforms.
What kinds of questions can I ask about my Datadog + Genesys Cloud stack?
- You can investigate anything that spans both platforms — alert rate, latency, and service health, service level and first-call resolution rate, cross-platform costs, handoff patterns, and performance comparisons. Sherlock translates your plain-English question into the right API calls and returns the deduced answer.
Is my Datadog and Genesys Cloud data stored by Sherlock?
- No. Sherlock Calls queries your data in real time and returns results directly to Slack — nothing is stored, indexed, or replicated in any Sherlock database. All data remains in Datadog and Genesys Cloud and is accessed only during an active investigation.
How long does it take to set up the Datadog + Genesys Cloud integration?
- Elementary — typically under 5 minutes total. Connect each platform with read-only credentials, install the Sherlock Calls Slack app, and ask your first question. No engineering, no dashboards, no onboarding calls required.
Ready to investigate your Datadog + Genesys Cloud stack?
Connect your Datadog + Genesys Cloud accounts in 2 minutes. Start asking cross-provider questions in plain English from Slack and get instant, AI-powered answers.
No credit card required · 50 free credits
Explore individual integrations