Is Poor Application Performance Costing You Customers and Revenue?

Frequently Asked Questions

Q: What is Application Performance Monitoring (APM) and why does it matter for banking applications?

A: Application Performance Monitoring (APM) is the practice of continuously tracking the speed, availability, and behaviour of software applications in real time, from the end user’s experience all the way down to the underlying infrastructure layer.

For banking applications, APM is not a nice-to-have. Every millisecond of latency or moment of downtime on internet banking, mobile banking, or payment platforms translates directly into customer dissatisfaction, failed transactions, and reputational risk. Consider what is at stake:

• Transaction success rates on payment apps can drop from 99.9% to dangerous lows during undetected performance degradation
• A single outage on a Tier-1 banking application during peak hours can impact hundreds of thousands of customers simultaneously
• Regulators including RBI, increasingly treat application reliability as a compliance obligation, not an operational preference

APM gives banks real-time visibility across the full application stack: web servers, application servers, databases, middleware, and the end user’s device. Without it, IT teams are flying blind, reacting to complaints rather than preventing issues.

Q: What is the difference between an APM tool and an APM managed service?

A: This distinction is critical and often misunderstood at the point of vendor evaluation.

• An APM tool (such as Dynatrace, Datadog, or AppDynamics) is software that collects telemetry data – metrics, traces, and logs from your applications. It provides dashboards and alerting capabilities. However, the tool only works as well as the team configuring, tuning, and interpreting it.
• An APM managed service combines the tool with expert human oversight. The service provider takes ownership of configuration, alert tuning, root cause analysis, and ongoing optimisation. Your internal teams receive insights and recommendations rather than raw data.

The practical difference: with a tool alone, alert noise is common, coverage gaps persist, and the burden of analysis sits entirely with your internal team. With a managed service, you gain a performance engineering partner, one who has solved similar problems across dozens of comparable banking environments.

Q: Which APM tools does Avekshaa have experience with?

A: Avekshaa’s teams have hands-on implementation and managed service experience across the leading enterprise APM platforms, including Dynatrace, Datadog, AppDynamics, New Relic, and Splunk Observability. This multi-tool fluency matters for two reasons:

• If your organisation has already invested in a specific platform, Avekshaa can work with your existing tool, configuring it correctly, reducing alert noise, and extending coverage to blind spots in your stack
• If you are evaluating platforms, Avekshaa provides vendor-neutral guidance on which tool is best suited to your technology mix, team capabilities, and budget

Beyond third-party platforms, Avekshaa’s proprietary P-A-S-S™ Analytics layer ingests telemetry from web servers, application servers, databases, and network infrastructure,  adding domain-specific rules and self-learning adjustments that generic tools do not provide out of the box for banking environments.

Q: We already have an APM tool deployed but it generates too much alert noise. How can this be fixed?

A: Alert fatigue is one of the most common and costly APM problems in banking IT operations. When every team member receives hundreds of low-priority alerts daily, the critical alerts get buried and that is precisely when a genuine incident gets missed.

Resolving alert noise is not about disabling alerts, it is about tuning them intelligently. The approach involves:

• Reviewing and resetting thresholds based on actual baseline performance of each application, rather than using tool defaults: Alert threshold calibration
• Grouping related alerts so that a single root cause does not trigger 50 separate notifications: Alert correlation
• Defining clear tiers (P1 outage, P2 degradation, P3 warning) and routing each tier to the right team with the right escalation path: Priority tiering
• Setting maintenance windows and dependency-aware suppression so planned events do not generate noise: Suppression policies

Avekshaa’s performance engineering teams have done this tuning across complex banking stacks. The typical outcome is an 80% or greater reduction in alert volume within the first 90 days, with genuine incidents surfacing clearly.

Q: Our APM tool does not cover our entire technology stack, some middleware and databases are unmonitored. What can be done?

A: Coverage gaps are extremely common in enterprise banking environments, particularly where the technology stack has evolved over many years. Mainframes, legacy middleware (IBM MQ, TIBCO), Oracle databases, and custom in-house applications are frequently left out of standard APM configurations because they require specialised instrumentation.

The consequences of blind spots are significant: a performance problem originating in an unmonitored database layer can go undetected while your monitoring platform shows all application-layer metrics as green.

Addressing coverage gaps requires:

• A full stack audit to identify every unmonitored component across web, application, middleware, database, and infrastructure layers
• Selection of the right instrumentation approach for each gap, agent-based, agentless, log-based, or API integration depending on the technology
• Correlation of newly instrumented components with existing monitoring data to provide end-to-end transaction visibility

Avekshaa’s coverage mapping methodology is designed specifically for complex, multi-technology banking stacks where a single customer transaction may traverse ten or more components across multiple teams.

Q: How does APM help shift from reactive troubleshooting to proactive issue prevention?

A: This is fundamentally a question about operational maturity. Most organisations begin their APM journey in reactive mode, the monitoring platform alerts after a problem has already impacted users. The goal is to move up the maturity curve to a state where issues are detected and resolved before they reach the customer.

APM enables proactive operations through three mechanisms:

• Establishing normal performance patterns for each application and alerting when behaviour deviates, often minutes or hours before a threshold breach: Baseline and anomaly detection
• Identifying trends in resource consumption, transaction volumes, and response time degradation that indicate an upcoming constraint: Predictive capacity signals
• When an anomaly is detected, automatically linking it to a probable cause (a specific code deployment, a database query pattern change, or an infrastructure event) rather than presenting raw data for a human to interpret: Root cause correlation

For banking environments, proactive APM is not optional, it is the operating standard that regulators and customers expect. The difference between a 2-minute and a 2-hour incident resolution often comes down to whether the monitoring ecosystem detected the signal early.

Q: How does Avekshaa’s APM service differ from simply buying a Dynatrace or Datadog licence?

A: Buying a licence gives you a powerful instrument. Avekshaa’s service gives you a performance-assured outcome.

The distinction is practical. Enterprise APM tools are sophisticated platforms that require significant expertise to configure correctly for a banking environment. Without that expertise, organisations commonly experience:

• Dashboards that show data but do not answer business questions
• Alert configurations that generate noise rather than actionable signals
• Coverage gaps across legacy and middleware components the tool cannot instrument by default
• No one accountable for following through from alert to resolution

Avekshaa brings three things a licence does not: domain expertise specific to banking and financial services applications; a proprietary P-A-S-S™ analytics layer that adds context and intelligence on top of tool telemetry; and a managed service model where Avekshaa’s engineers are accountable for the performance outcomes of your applications, not just the health of the monitoring tool.

Q: What industries and client profiles does Avekshaa’s APM service support?

A: Avekshaa’s APM and performance engineering services are focused on organisations where application performance is directly tied to business outcomes and regulatory standing. The primary sectors served are:

• Banking, including large public sector banks, private sector banks, and cooperative banks running Tier-1 applications such as internet banking, mobile banking, core banking, and payment platforms
• Financial services, NBFCs, asset management companies, and stock exchanges including NSE
• Insurance, life and general insurers managing high-volume customer-facing applications
• Telecom, operators with complex OSS/BSS stacks and real-time service assurance requirements

Clients include HDFC Bank, TATA Capital, HSBC, Vodafone, Indiabulls, and NSE, organisations that operate mission-critical applications where downtime is commercially and reputationally unacceptable.

Q: What results can we expect from Avekshaa’s APM implementation?

A: Avekshaa’s published outcomes from banking APM engagements include:

• Payment transaction success rate improvements from 93.9% to 99.9% for a major Indian bank’s Tier-1 payment applications
• Scalability improvements of 30–40% without corresponding infrastructure spend increases
• 150% average performance improvement across client application portfolios
• Resolution of over 5,000 complex technical performance problems across client engagements

The measurable outcomes of a well-implemented APM programme include reduced Mean Time to Resolution (MTTR) for incidents, fewer customer-impacting outages, improved application response times, and critically for banking documented evidence of technical readiness that supports regulatory compliance requirements.

Results vary by starting state. Avekshaa’s engagement typically begins with a current-state assessment to establish a baseline and agree on measurable targets before implementation begins.

Q: Does Avekshaa provide APM services outside India for UK and US operations?

A: Yes. Avekshaa operates across India, the USA, and the UK. For financial institutions with operations spanning multiple geographies including Indian banks with international branches and global banks with India operations, Avekshaa’s multi-geography capability is relevant in two ways:

• Engineering and managed service teams can support implementations and ongoing monitoring across time zones: Delivery
• Avekshaa’s expertise extends to the regulatory environments of multiple jurisdictions, including RBI requirements in India and relevant frameworks in the UK and US: Compliance

For global engagements, the typical model is a centralised performance engineering function with local delivery capability, ensuring consistent monitoring standards across all geographies while accommodating jurisdiction-specific compliance requirements.

Q: How does Avekshaa handle APM for complex, multi-technology application stacks in banking?

A: Banking application stacks are among the most complex in any industry. A single customer transaction, say, a UPI payment initiated on a mobile app, may traverse a mobile application layer, an API gateway, multiple microservices, a middleware message broker, a core banking system, a payment switch, and an external network all within two seconds.

Avekshaa’s approach to multi-technology stacks involves four phases:

• Full inventory of all application components, dependencies, and data flows across the stack including mainframe, legacy middleware, and cloud-native components: Discovery
• Selecting the appropriate monitoring approach for each component type, agent-based for modern application servers, log-based or agentless for legacy systems, synthetic monitoring for end-user experience: Instrumentation strategy
• Linking telemetry from all monitored components into a unified service topology so that end-to-end transaction traces are visible: Correlation and topology mapping
• Applying domain-specific rules and self-learning models to translate raw telemetry into actionable performance insights relevant to banking operations: Contextualisation via P-A-S-S™ Analytics

This methodology addresses the coverage gap problem that is common when organisations attempt to instrument complex stacks using a single tool’s default configuration.

Q: How long does it typically take to implement and configure APM for a banking application?

A: Implementation timelines depend on three variables: the complexity of the application stack being instrumented, the number of applications in scope, and the current state of existing monitoring infrastructure.

As a general guide for a typical Indian bank implementing APM across a Tier-1 application suite:

• Current-state assessment, stack discovery, and monitoring gap analysis: Weeks 1–2
• Instrumentation and agent deployment across in-scope application components: Weeks 3–6
• Alert configuration, threshold tuning, dashboard setup, and initial noise reduction: Weeks 7–10
• Handover, runbook documentation, and knowledge transfer to internal teams: Weeks 11–12

A full implementation for a complex, multi-technology banking environment is typically a 10–12 week programme. Organisations moving from zero monitoring to full coverage in a single phase may require a phased rollout across 3–6 months, prioritising Tier-1 applications first.

Avekshaa’s accelerated implementation methodology informed by prior banking APM deployments, significantly reduces the configuration and tuning phase compared to a greenfield implementation by a team without domain experience.

Q: What is the relationship between APM and RBI’s Digital Banking Channels Authorisation Directions (effective January 2026)?

A: This is one of the most important questions for Indian bank CIOs and CTOs in 2026. The RBI’s Digital Banking Channels Authorisation Directions, 2025 which came into force on 1 January 2026 establish a formal authorisation regime for all commercial banks offering internet banking, mobile banking, USSD, and SMS banking services.

The Directions are not simply a governance document. They carry direct technical obligations that fall squarely on application performance and quality assurance functions:

• Banks must demonstrate robust internal systems and technology readiness before receiving or retaining authorisation. Application performance monitoring is a core component of this evidence: Technological readiness
• Banks must submit a Gap Assessment and Internal Controls Adequacy (GAICA) report, certified by a CERT-In empanelled auditor. Application performance data and monitoring maturity assessments contribute directly to this report: GAICA report requirement
• The Directions mandate that digital channels function with minimal disruptions. APM is the operational mechanism that makes this demonstrable: Operational resilience
• CCOs must submit quarterly compliance certificates. Performance monitoring dashboards and incident data are the evidence base for these certifications: Chief Compliance Officer accountability

In practical terms: a bank that cannot demonstrate real-time monitoring, documented incident management, and application reliability evidence is exposed to regulatory risk under the 2026 framework. Avekshaa’s APM implementation and managed service directly supports the technical readiness obligations the Directions impose.