Application Maintenance Services Keeping Critical Applications Resilient, Scalable, and Always-On 

Application maintenance services refer to the ongoing process of managing, enhancing, optimizing, and troubleshooting software applications after they have been deployed. These services ensure the application performs efficiently, adapts to business and technical changes, remains secure, and evolves with user and organizational needs. It includes everything from bug fixing and performance tuning to version upgrades and feature enhancements.

Enterprises today rely heavily on digital platforms to power operations, serve customers, and compete globally. Even minor application failures or slowdowns can affect business performance, user experience, and revenue. Continuous application maintenance ensures optimal performance, reduces downtime, supports compliance, eliminates technical debt, and enables seamless scalability. It keeps enterprise software future-ready and aligned with strategic goals.

We support a wide range of application types, including but not limited to:

• Enterprise-grade systems (ERP, CRM, HCM, SCM)
• Web applications and progressive web apps
• Mobile applications (iOS, Android, hybrid)
• Legacy software and mainframe applications
• SaaS platforms and cloud-native apps
• Custom-built business applications

This includes applications across platforms like SAP, Oracle, Salesforce, Microsoft, AWS, Azure, and Google Cloud.

Application maintenance improves performance by ensuring systems are continuously monitored, evaluated, and optimized for speed, resource efficiency, and load resilience. Uptime is achieved through proactive health checks, early anomaly detection, database tuning, memory optimization, and real-time diagnostics. Fixes are implemented before end-users are affected, and performance thresholds are tracked to eliminate slowdowns and outages.

• Corrective maintenance deals with fixing defects or bugs in the application once they’ve been identified.
• Adaptive maintenance refers to making necessary changes to keep the application compatible with evolving infrastructure like new operating systems, databases, or browsers.
• Preventive maintenance is forward-looking—focused on identifying potential failure points, resolving performance warnings, and applying security hardening to prevent disruptions before they occur.

Absolutely. We provide full support for legacy applications built using older technologies such as COBOL, Visual Basic, PowerBuilder, and Classic ASP. Our approach focuses on stabilizing the existing environment and extending support while mapping a modernization path through replatforming, rehosting, or rewriting applications. This ensures minimal disruption to business operations while enabling a future-ready architecture.

Cloud and hybrid environments require dynamic and scalable maintenance strategies. Our teams monitor infrastructure across cloud providers (AWS, Azure, GCP), containerized environments (Kubernetes, Docker), and hybrid systems. We use automation tools for autoscaling, patching, logging, and performance telemetry. Maintenance is designed for continuous availability, secure integrations, and rapid recovery, tailored to modern distributed architecture.

Our always-on support framework includes:

• Continuous monitoring with alerts and triggers
• SLA-based incident management
• Tiered support across P1 to P4 issues
• Ticketing and knowledge base management
• Root cause analysis (RCA) and problem resolution
• Support staff rotation across time zones for uninterrupted service
• Scheduled maintenance during low-usage periods

This ensures that your critical applications are always attended to, no matter where or when issues occur.

We adopt a structured, secure, and scheduled approach:

• Patch cycles are planned to avoid peak usage periods and ensure rollback options are available.
• Compliance standards such as GDPR, HIPAA, SOX, and PCI-DSS are strictly followed.
• Audit trails are maintained for every update or change.
• Version controls are implemented using Git, Bitbucket, and other tools.

Security updates are prioritized and tested in sandbox environments before rollout.

Performance optimization is an ongoing effort, supported through:

• Application Performance Monitoring (APM) with tools like New Relic and AppDynamics
• Resource tuning (CPU, memory, disk I/O)
• Code refactoring to eliminate bottlenecks
• Load balancing and session management
• Frontend and backend optimization
• Query optimization and database indexing
• Stress testing and scenario simulation under different load conditions

We use a combination of best practices:

• Blue-green deployments allow seamless switchovers
• Canary releases enable gradual rollout to limited users
• Rolling updates prevent full system shutdown
• Staging tests ensure reliability before live changes
• Failover planning and autoscaling mitigate risks
• Maintenance is executed during predefined windows and users are notified with rollback assurance

Yes, our maintenance services fully integrate with leading tools:

• ITSM tools: ServiceNow, BMC Remedy, Freshservice
• DevOps platforms: Azure DevOps, Jenkins, GitHub Actions, GitLab
• Monitoring tools: Splunk, Prometheus, Grafana, Datadog
• Alerting systems: PagerDuty, OpsGenie, VictorOps

This enables continuous tracking, automated workflows, integrated issue management, and seamless CI/CD alignment.

Key metrics include:

• MTTR (Mean Time to Resolve)
• MTTD (Mean Time to Detect)
• SLA adherence rate
• System uptime
• Incident recurrence rate
• First-contact resolution
• User experience feedback (CSAT/NPS)

These KPIs offer visibility into operational efficiency, application health, and user satisfaction.

We follow a structured onboarding framework:

• Discovery Phase: Assessment of current application architecture and documentation.
• Knowledge Transfer: Sessions with incumbent teams or clients.
• System Mapping: Identification of interfaces, dependencies, and baseline metrics.
• Playbook Creation: SOPs, escalation matrix, and support workflows.
• Go-Live and Hypercare: Support activation, monitoring, and feedback collection to fine-tune the engagement.

Change requests are governed through a Change Advisory Board (CAB) and ticketing system:

• Requests are logged, categorized, and prioritized.
• Impact analysis and feasibility studies are performed.
• Approvals are secured through defined workflows.
• Enhancements are scheduled in line with release planning.
• User acceptance testing (UAT) is conducted before changes go live.

All changes are documented for audit and knowledge purposes.

Yes. We provide scalable staffing models tailored to your needs:

• Dedicated teams for 24/7 or 8×5 support
• SMEs for niche technologies or legacy systems
• Onsite/offshore hybrid delivery for flexibility
• On-demand surge support for peak periods or large rollouts

Resources are trained on your systems, SLAs, and protocols to serve as an extension of your in-house IT.

Our services address real-world enterprise concerns such as:

• Downtime due to outdated code or poor configuration
• Scalability limitations caused by monolithic architecture
• Inconsistent performance across locations or load levels
• Lack of observability in complex or hybrid environments
• Compliance violations due to missed patches
• Inadequate documentation and tribal knowledge
• Low user satisfaction due to UI/UX bugs
• High TCO from inefficient resource usage

We don’t just patch problems; we solve root causes and future-proof your ecosystem.

What pricing models do you offer?

We offer flexible pricing structures designed to align with the scope and complexity of your application environment. These include Time & Material (T&M) for dynamic workloads, Fixed Price for well-defined projects with predictable volumes, and Outcome-Based Pricing where we tie our compensation to agreed-upon performance benchmarks or business goals. We also support hybrid models for phased or evolving engagements.

What SLAs do you provide?

Our SLAs are structured to meet mission-critical requirements, including 99.9%+ application uptime, 30-minute initial response time for P1 issues, and 4-hour resolution windows for high-priority incidents. We also define SLAs for resolution of P2–P4 tickets, knowledge base updates, first-call resolution, and ticket closure feedback. Custom SLAs tailored to industry-specific regulations (e.g., healthcare or BFSI) can be added on request.

Can you support global operations?

Yes. Our delivery framework is built for scale. We offer 24/7 support across North America, Europe, Middle East, and APAC through a network of regional delivery centers, ensuring minimal latency and full time zone coverage. Our teams are multilingual, and escalation paths are aligned to local and global governance protocols.

How do you maintain security during remote maintenance?

We apply a multi-layered security approach that includes MFA (Multi-Factor Authentication), VPNs, Role-Based Access Control (RBAC), endpoint encryption, and real-time monitoring of access logs. All our maintenance activities are governed by ISO 27001:2013, SOC 2 Type II, and GDPR-aligned policies, ensuring full auditability and data protection.

Can we consolidate support for multiple applications under one contract?

Yes, we specialize in multi-application support models where ERP, CRM, HCM, legacy systems, and custom platforms are managed under a centralized governance framework. This includes unified SLA tracking, shared or dedicated support teams, consolidated dashboards, and cost-optimized resource pools, offering both visibility and operational efficiency.

What automation do you use?

We use RPA (Robotic Process Automation) for routine ticketing and health checks, AIOps for predictive incident management, and low-code/no-code automation platforms to streamline common workflows like patching, user access provisioning, and configuration validation. Additionally, we integrate automation across ITSM platforms (e.g., ServiceNow) and DevOps pipelines for faster root cause identification and proactive remediation.

Can you integrate with our existing monitoring and ticketing tools?

Yes. We integrate seamlessly with industry-standard tools such as ServiceNow, Jira, BMC Remedy, Splunk, Datadog, AppDynamics, New Relic, Prometheus, and more. Our support model adapts to your environment—whether you’re operating on a native, hybrid, or multi-cloud tech stack.

How do you handle seasonal spikes or usage surges?

We offer elastic support models that allow you to scale resources on demand during peak periods—such as financial year-end closures, product launches, or seasonal traffic spikes. Our monitoring layer anticipates high-load events and pre-triggers alerts, while autoscaling and resource balancing ensure performance doesn’t degrade.

What’s your onboarding timeline and what does it include?

Our onboarding typically spans 2 to 6 weeks, depending on the complexity. It includes application discovery, documentation audit, SLA mapping, toolchain integration, knowledge transfer sessions, and a hypercare period post-handover. You receive a detailed transition plan and risk mitigation strategy.

Can you support compliance-driven industries like BFSI, Healthcare, and Government?

Yes. We work extensively with regulated sectors, ensuring support processes are compliant with HIPAA, PCI-DSS, SOX, ISO, FISMA, and other regional mandates. Our teams are trained on industry-specific control frameworks, and documentation, access controls, and incident logs are maintained to be audit-ready at all times.

Do you offer co-managed support with internal teams?

Absolutely. Our co-managed delivery model allows us to work as an extension of your internal IT or DevOps team. You retain control over core systems while we provide specialized support, shared tooling access, and transparent collaboration on tickets, upgrades, and long-term enhancements.