SLA-Based Support
Provides contractual support with defined response and resolution commitments across severity levels so you have a predictable path when something goes wrong in production. The SLA is written to match your business risk not a template.
Everything included under this practice line.
Severity model definition mapped to real business impact rather than generic P1 to P4 labels
Response and resolution SLAs by severity with credit or remedy structure when missed
24x7 business-hours and follow-the-sun coverage options aligned to your geography and criticality
Dedicated ticket intake channels including email portal phone and shared collaboration channels
Named service delivery manager as your escalation point and periodic review owner
SLA performance reporting: attainment MTTR ticket volume trend and top recurring issues
Change and release advisory board participation for regulated or high-risk environments
Continuous improvement plan with root cause themes fed back into engineering priorities
The stack we reach for.
What the business gets, measured.
- Predictable support cost with contractual response commitments rather than best-effort
- Clear accountability when incidents happen because severity and remedy are defined up front
- Executive-ready reporting on support performance without pulling it together manually
- Reduced business impact from production issues because the response path is agreed in advance
- Auditable evidence of support coverage for customer and regulator inquiries
The specialists behind this practice line.
A service delivery manager owns the SLA relationship and reporting cadence with L1 service desk analysts handling intake L2 and L3 support engineers routed based on the specific stack in scope and a technical account manager brought in for architectural and roadmap conversations. The specialists engaged behind the SLA vary with the systems you have under contract rather than being a fixed roster.
Compose several capabilities into one engagement.
Cloud Infrastructure Management
We run your AWS Azure or GCP footprint day to day. Cost tuning patching backups IAM hygiene and Terraform state stay in our lane so your team ships product.
DevOps Managed Services
Owning the pipeline end to end so releases stop being a Friday problem. CI CD artifact stores secrets and environment parity handled by people who page themselves not you.
Application Support & Maintenance
L2 and L3 support for the apps you already run. Bug triage minor enhancements dependency upgrades and the boring library CVE patches nobody wants to schedule.
Database Administration
Postgres MySQL SQL Server Oracle Mongo. Backups you have actually restored replication that fails over cleanly and query plans read by someone who has seen a bad one.
24x7 Monitoring & Incident Management
Follow-the-sun NOC on Datadog Grafana or CloudWatch. Alerts routed through PagerDuty with real runbooks and every SEV1 gets a written postmortem within five business days.
Performance Optimization
Find the slow thing fix the slow thing prove it with a graph. APM profiling database plan review cache placement and load tests that reflect actual traffic shapes.
Let's talk
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