Production systems with reactive firefighting instead of proactive maintenance
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Managed Support Services
Ongoing monitoring, maintenance, and SLA-based management of production applications and platforms.
PrometheusGrafanaJira
Overview
Managed Support Services
We operate and improve your production systems under defined service levels — so internal teams focus on strategic initiatives while service quality stays controlled.
Managed support is a partnership model, not a ticket queue. We learn your systems, establish baselines, and proactively address issues before they become outages. Monthly service reviews cover SLA performance, recurring problems, and improvement backlog prioritization.
Coverage spans application monitoring, incident response, patch coordination, release support, and small enhancements within agreed effort caps. Governance includes change advisory participation and transparent reporting to IT and business stakeholders.
Flexible models allow ramp-up during major releases and scale-down during stable periods — with clear communication throughout.
Business Outcomes
- Stable day-to-day operations with predictable service levels
- Reduced unplanned downtime through proactive monitoring and problem management
- Transparent reporting that builds trust between IT and business stakeholders
- Continuous improvement backlog executed without disrupting core operations
Service Detail
Key Challenges We Address
Unclear service expectations between IT and business leading to dissatisfaction
Difficulty retaining specialized skills for legacy and modern systems simultaneously
Technologies & Tools
Technologies & Tools
Observability, ITSM, runtime, and cloud tooling for production AI and application operations.
01
Monitoring & observability
Metrics, logs, and dashboards for production health.
Prometheus
Open-source monitoring and alerting toolkit for cloud-native and containerized systems.
Grafana
Observability platform for dashboards, metrics, logs, and operational visibility.
Elasticsearch
Search and analytics engine used for logs, observability, and application search.
02
Operations & ITSM
Ticket, release, and collaboration tooling for support teams.
Jira
Work management tool for delivery planning, issue tracking, and program transparency.
GitHub
Source control and DevOps platform for repositories, reviews, CI workflows, and release collaboration.
Jenkins
Automation server for CI/CD pipelines used across enterprise software delivery.
03
Runtime & infrastructure
Containers, proxies, and runtime services for live systems.
Kubernetes
Orchestrates containers for scalable, resilient deployment and operations of cloud services.
Docker
Container platform that packages applications so they run consistently across environments.
Nginx
High-performance web server and reverse proxy for application traffic and APIs.
04
Cloud platforms
Major cloud providers used for hosting and operations.
Microsoft Azure
Microsoft cloud platform for AI services, data platforms, apps, identity, and enterprise infrastructure.
Amazon Web Services
AWS cloud services for compute, storage, data pipelines, AI, and global-scale infrastructure.
Google Cloud
Google Cloud Platform for analytics, AI, data warehouses, and scalable cloud infrastructure.
OpenAI
Provider of GPT models used to build LLM applications, agents, and AI-assisted workflows.
Service Detail
Core Capabilities
01
SLA-Based Service Management
Defined response and resolution targets with monthly performance reporting.
02
Proactive Monitoring & Health Checks
Scheduled reviews of logs, metrics, and capacity trends to prevent incidents.
03
Incident & Problem Resolution
Structured triage, root cause analysis, and permanent fix tracking.
04
Release & Patch Coordination
Support planned changes with testing, deployment, and rollback assistance.
05
Enhancement Delivery
Deliver prioritized small changes within agreed monthly capacity.
06
Service Review & Improvement Planning
Regular governance meetings with trend analysis and roadmap alignment.
Service Detail
Our Delivery Process
01
Discovery & Alignment
We clarify business objectives, stakeholders, constraints, and success criteria — with clear stakeholder communication — before any build commitment.
02
Architecture & Design
Solution architecture, data models, integration patterns, and delivery plans are defined with quality gates and governance checkpoints.
03
Build & Validation
Iterative engineering with structured testing, security review, and transparent milestone reporting through to production readiness.
04
Launch & Operations
Controlled rollout, hypercare, monitoring, and ongoing enhancement so systems remain stable, measurable, and improvable.
What We Deliver
What We Deliver
Managed service agreement with SLA and scope definitions
System onboarding documentation and support runbooks
Monitoring configuration and alert playbooks
Monthly service performance and incident summary reports
Change log and enhancement delivery tracker
Quarterly improvement plan with prioritized recommendations
Ideal For
- Organizations with stable production estates needing professional long-term operations
- IT leaders outsourcing L2/L3 support while retaining strategic control
- Business-critical systems requiring responsive service desk and escalation
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Ready to discuss your AI Support & Operations project?
Tell us about your objectives. We’ll help define scope, approach, and next steps.