Incident, problem and request management
Manage outages, errors and user requests within SLA targets by prioritizing them according to impact and urgency.
- Incident and service request
- Priority and escalation matrix
- Problem and root cause management
We proactively monitor your applications, integrations and infrastructure, and respond to incidents according to priority and SLA targets. From issue resolution and security updates to performance, capacity and new requirements, we continuously improve your operations.
Maintenance and support is not just a help desk that kicks in when a user reports an error. It proactively monitors the health of applications, integrations, databases and infrastructure, resolves incidents against SLA targets, manages security and release needs, and continuously evolves the system as business requirements change.
Log, prioritize and resolve errors, outages, user requests and service needs based on priority, impact and SLA rules.
Continuously monitor signals from applications, APIs, databases and infrastructure to identify risks before they affect users.
Test and apply framework, dependency, operating system and security patches through planned, reversible releases.
Analyze recurring issues, performance bottlenecks and technical debt to make your system stronger with every maintenance cycle.
We do not see support as merely closing tickets. We quickly reduce user impact, confirm the root cause, apply a permanent fix, and plan the technical and operational improvements that keep the same issue from happening again.
Manage outages, errors and user requests within SLA targets by prioritizing them according to impact and urgency.
Monitor metrics from applications, APIs, databases, queues and infrastructure to detect issues before users report them.
Safely reproduce production errors, and apply temporary mitigation and permanent code fixes in a controlled way.
Keep application frameworks, packages and platform components current in line with security and compliance requirements.
Monitor slow operations and capacity risks, and make planned improvements across code, queries, cache and infrastructure layers.
Turn small enhancements, user needs and technical debt into regular maintenance releases, ordered by value and risk.
In-house support can work well for teams that know the business context closely and have enough capacity. For setups that need multiple technologies, continuous monitoring, SLAs and specialist expertise, a managed service delivers more predictable operations. Where it makes sense, we combine both approaches in a shared responsibility model.
Suited to systems where application knowledge is strong inside the organization and enough specialists and operational capacity can be allocated.
Designed for systems that need SLAs, proactive monitoring, multi-technology expertise and flexible support capacity delivered as a standard service.
If several of the following sound familiar, strengthening your current operations with a structured support model can help.
We tailor the support scope to the application's business impact, user base, technology stack, service hours and pace of change. We cover a range of operational scenarios, from mission-critical business applications to integrations, e-commerce and legacy systems.
For applications where business processes must run without interruption, protect service continuity with proactive monitoring, prioritized response, escalation and root cause management.
Monitor cart, payment, order and integration flows to respond quickly to issues that affect customers and revenue.
Monitor APIs, queues, scheduled jobs and data synchronization to resolve delays, errors and record inconsistencies.
Keep a newly built application sustainable in production with monitoring, issue resolution, small enhancements and planned releases.
Manage shrinking expertise, unsupported technology and missing documentation through inventory, runbooks and controlled maintenance.
Scan application and platform components regularly, and fix critical vulnerabilities with tested updates and controlled releases.
We do not start support only when a ticket arrives. We get to know your systems and their business criticality, set up monitoring and SLA structures, manage incidents through a consistent process, and turn the data from each period into a technical improvement plan.
We review applications, infrastructure, integrations, users, business criticality and existing technical assets to define the initial service scope.
We define incident types, impact and urgency levels, response and resolution targets, communication channels and alert thresholds.
We collect user requests and system alerts in a single channel, confirm the business impact, and route each ticket to the right priority and area of expertise.
We first reduce the service impact safely, then test and apply the permanent fix at the code, data, integration or infrastructure layer.
We analyze the technical and process sources of critical and recurring incidents, and plan improvements to monitoring, code, testing and operations.
We regularly review SLA, availability, incident trends, capacity and technical debt data to set the priorities for the next maintenance period.
Planned maintenance and a measurable support model reduce operational dependence on individuals, speed up response to issues and keep the system from aging. Business units get more reliable service while technology teams stay focused on their development goals.
Limit the impact of outages on users and business processes with proactive monitoring and fast response.
Make sure the right team responds quickly to critical incidents through a priority, SLA, escalation and expertise model.
Rather than just closing incidents, address root causes and preventive actions to reduce the chance of the same issue returning.
Manage dependency, platform and security patches regularly to reduce the risk of unsupported technology and known vulnerabilities.
Make request status transparent, communicate regularly and resolve the issues that affect business users first.
Define scope, capacity and service levels clearly to keep the costs of unplanned interventions and major failures under control.
We do not treat support speed as a trade-off against security. Authorized access, logged interventions, tested changes, segregation of duties and a rollback plan are built into every stage of the maintenance process.
Limit support access by role, environment, duration and incident scope, and manage privileged operations with strong authentication and approval.
Minimize access to production data, and protect personal and sensitive data by masking it during testing and error analysis.
Release fixes and updates in a controlled way, passing them through source code, review, automated testing and approval steps.
Verify data and configuration protection before every critical change, and apply fast restoration and rollback when something goes wrong.
From the system inventory to the SLA model, monitoring dashboards to incident and root cause records, maintenance releases to service reports, we regularly prepare the concrete assets your operations need.
An up-to-date technical service catalog covering applications, services, data, infrastructure, integrations, environments, users and ownership.
Service hours, priority levels, response and resolution targets, responsibilities, and communication and escalation rules.
Metric, log, trace, dashboard and actionable alert definitions showing the health of applications, APIs, databases and infrastructure.
Tested releases made up of bug fixes, security patches, dependency updates, performance improvements and small enhancements.
Common issues, resolution steps, runbooks, maintenance procedures, and recovery and escalation scenarios.
A periodic management report showing SLA, availability, incident trends, root causes, capacity, security and technical debt priorities.
The most common questions about timelines, costs, working model and support afterwards.
Send your questionThey can cover incident and user request management, proactive monitoring, bug fixing, root cause analysis, security and release updates, performance, capacity, small enhancements and periodic service reports.
Support hours are set according to system criticality and your needs. Business hours, extended hours, or an on-call and 24/7 response model for critical incidents can be planned.
Priority levels are set according to an incident's business impact and urgency. For each level, first response, intervention, status communication and target resolution times are defined together with the service scope.
We review the application, infrastructure, integrations, access, documentation and open issues. Once knowledge transfer, risk analysis, monitoring setup and the SLA model are complete, a controlled service handover takes place.
Cost depends on the number of applications and technologies, business criticality, support hours, SLA targets, monthly request volume, monitoring, expertise, and maintenance and development capacity.
Yes. By building a responsibility matrix, incident, infrastructure, application, security and change responsibilities can be shared between your team, other vendors and our experts.
We use least privilege, MFA, privileged access management, time-limited access, data masking, encryption and activity logs. Changes follow review, testing, approval and rollback steps.
Yes. User needs and small enhancements are assessed for impact, effort and risk, and can be scheduled into planned maintenance releases within the allocated capacity.
Let's review your applications, current operational issues and service expectations together. We will define the scope that fits your system's criticality, the SLA model, and the first step toward a controlled service handover.