Expert integration services for Datadog, Dynatrace, LogicMonitor, Splunk, New Relic and more. Built, automated and supported by our AI SRE team.
Every gap between your tools adds minutes to an outage and hours to your team's week.
Alerts firing in five tools with no context
When something breaks, alerts storm across multiple dashboards simultaneously. Responders waste critical minutes guessing which alert points to the true root cause.
On-call engineers jumping between dashboards
Responders constantly switch tabs between metrics, traces, container health, and logs during active outages instead of investigating from a single unified view.
Paying for tool features nobody configured
Costly enterprise observability licenses sit half-implemented. Teams pay for APM, synthetic testing, or anomaly detection that was never wired into paging or ticketing.
Manual handoffs between monitoring, paging and ticketing
Engineers manually copy alert details from monitors to Slack, create Jira or ServiceNow tickets by hand, and forget to update status pages when incidents resolve.
From setup to automation to ongoing support, we handle the integration work so your team can focus on reliability.
Deep APM tracing, synthetic monitoring, metric threshold correlation, and real-time log ingestion connected across Datadog, Dynatrace, LogicMonitor, and New Relic.
Bi-directional synchronization between monitoring alerts, PagerDuty on-call escalation policies, Slack incident war-rooms, and ServiceNow or Jira ITSM ticketing.
Every monitor, notification rule, and dashboard is codified via IaC and checked into git for auditability and drift prevention.
Incoming alerts are enriched with logs, recent deployment tags, and service ownership metadata before responders are paged.
Multi-service cascading alarms are compressed into a single parent incident, stopping 50-alert storms across the team.
Our SRE engineers audit your current tool configurations and provide an architecture blueprint to connect your stack.
Our engineers review your monitoring, paging and ticketing setup and tell you what to keep, connect or automate.
We handle the planning, building and support, so your engineers stay focused on reliability.
We map every monitor, alerting rule, notification channel, and ticketing queue. We identify coverage holes, duplicated alerts, and integration bottlenecks.
We code the bi-directional integrations, configure webhooks, set up event filtering, and deploy AI SRE agents inside your secure cloud perimeter.
As your microservices and infrastructure evolve, we update integrations, refine alert rules, keep API connections current, and expand automation.
The AI SRE agent investigates every incident the moment it opens, then applies approved fixes for known issues.
Related alerts from different tools are grouped, filtered and turned into a single incident with full context.
Every deploy and planned change is linked to your monitoring, so bad releases are caught fast and planned work doesn't trigger false pages.
Engineers get actionable alerts in Slack or Teams, while customers and internal teams stay informed automatically.
Your pager, ticketing and reporting stay in sync from first alert to final review.
Move or merge monitoring and on-call tools without losing alert rules, schedules or history.
Our AI SRE consultants review your current setup and recommend what to keep, connect, replace or automate.
Everything you need to know about our SRE tool integrations, security, migration timelines, and support model.
Most primary integrations (such as connecting Datadog or Dynatrace to PagerDuty, Jira, and Slack with intelligent deduplication) are deployed within 5 to 10 business days. Complex migrations or custom AI remediation runbooks typically run 2 to 4 weeks.
We operate with least-privilege API tokens and service accounts. Telemetry read access is scoped to the required observability indices, and remediation actions are restricted to explicit runbooks behind guarded policies.
Yes. We specialize in Opsgenie to PagerDuty or Jira Service Management migrations. We extract your escalation policies, routing rules, on-call rotations, and historical alerts, recreate and validate them in the target platform, and run both in parallel during cutover.
No. All integrations and AI SRE investigation workflows run inside your cloud perimeter or private VPC. No raw log data or sensitive customer identifiers leave your environment.
We offer ongoing managed integration support. Our team monitors API deprecations, tunes alert thresholds, maintains bi-directional sync health, and adds new automations as your engineering architecture scales.