Why should our organisation care about optimising application performance?
For most organisations, applications are the business: sales portals, mobile apps, agent desktops, partner APIs. If they are sluggish, every strategic initiative built on top of them – new products, marketing campaigns, partnerships – delivers less value than planned.
High-performing apps make your commercial investments work harder: more visitors complete key journeys, partners see you as a reliable counterparty and your brand promise is reinforced instead of undermined.
Performance also shapes your ability to scale. When apps degrade under peak loads, you’re forced to cap campaign ambition, limit onboarding or throttle self-service to protect back-office teams.
Conversely, well-optimised applications give leadership confidence to pursue growth, M&A integration and aggressive digital targets, knowing that the underlying platforms can handle sudden spikes in demand without expensive emergency fixes.
How do we know if we have an application performance problem?
You often discover a performance problem when behaviour changes, even if uptime looks fine.
Examples: sales teams start avoiding demos of certain journeys because “it’s too slow”, branches or agents keep a second system open “just in case”, or product managers deliberately keep new features behind limited pilots because they don’t trust the platform under real volume.
Data can confirm this intuition. If you see big gaps between average and P95 (95th percentile) / P99 (99th percentile) response times, users are experiencing random “hiccups” that never show in simple SLA reports.
A high percentage of sessions that start but never hit the expected “next step” (e.g. quote generated, form submitted) can also indicate that people are giving up mid-journey due to slowness, not design.
Finally, if major campaigns, seasonal peaks or month-end processing require “all hands on deck” from IT and operations every time, it’s a sign your applications are already at (or beyond) safe performance limits, even if they haven’t fully fallen over yet.
Read related articles:
What are the main business benefits of application performance optimisation?
Beyond immediate speed gains, strong application performance becomes a strategic asset.
When key journeys are consistently fast and reliable, more customers shift to digital self-service, reducing dependency on manual channels and enabling you to scale without proportional headcount growth.
Strategically, strong performance gives you confidence to launch new digital features, campaigns and partnerships at scale without worrying that systems will fail at critical moments.
Performance optimisation also strengthens your position in ecosystems and partnerships. Partners are more willing to integrate with your APIs and platforms when they see stable response times and low error rates, which can open additional distribution, white-label or embedded-finance style opportunities.
Internally, employees spend less time waiting on slow systems or reworking failed transactions, freeing capacity for higher-value activities like sales, advisory work or complex claims handling. Over time, this combination of lower friction and higher reliability improves overall competitiveness, not just “IT metrics”.
Ensuring instant data availability and 90% time savings on reporting with Microsoft Fabric SLA automation
What are the common causes of poor application performance?
Poor application performance often stems from invisible bottlenecks that accumulate over time.
Databases are a classic example: unindexed tables, legacy schemas and overly complex reports can slow everything down as data volumes grow.
The same happens with third-party services (payment gateways, address lookup, KYC, marketing tags) – each additional call adds latency and, if not handled defensively, one slow provider can freeze a critical journey.
On the infrastructure side, misused cloud elasticity is a frequent culprit. Apps are “lifted and shifted” with fixed instance sizes, no autoscaling and shared resources between noisy neighbours, so they struggle during peaks despite apparently ample capacity on paper.
Finally, many organisations lack consistent performance monitoring across environments; issues show up only in production because test data, load levels and integration patterns do not reflect real customer behaviour, turning every major release or campaign into a high-risk event.
The key ways to application performance improvement
Effective performance improvement starts with prioritising the right journeys.
Instead of tuning everything, identify the transactions that drive revenue, compliance or customer satisfaction (e.g. quote, checkout, login, case search) and set clear response-time targets for each.
These targets become “performance budgets” that product owners, designers and engineers must respect when adding new features, integrations or analytics tags.
On the technology side, the biggest gains often come from simplification and decoupling rather than micro-optimisations. That can mean splitting heavy batch logic from real-time flows, introducing asynchronous processing where immediate answers aren’t needed, or allowing non-critical elements to load later so the core task finishes fast.
At the organisation level, you embed performance into ways of working: every change includes a performance impact check, vendor contracts contain realistic SLAs, and performance dashboards are reviewed jointly by business and IT. This turns performance from an ad-hoc “fix it when it breaks” activity into a continuous capability.
Check out these tips to help you with this process:
How much does application performance optimisation cost?
The cost of application performance optimisation depends mainly on how deep you go.
At the lighter end, you may only need a focused diagnostic, some configuration changes, query tuning and front-end cleanup – typically small, time-boxed efforts that fit into existing product or sprint budgets.
At the other extreme, fixing systemic issues (e.g. monolithic architecture, overloaded databases, fragile integrations) can require dedicated teams, new components or platforms and changes to operating model, which is closer to a transformation programme than a “tuning exercise”.
You should also distinguish between one-off investment and ongoing run costs. There may be an initial spike for tooling, specialist support or refactoring, but many organisations then reduce infrastructure spend (by right-sizing and removing waste) and incident-related costs (firefighting, overtime, penalties).
A practical way to frame budget discussions is to compare the investment with the “performance tax” you are already paying: lost conversion, abandoned journeys, extra FTEs in support, and limits on campaign or peak volumes.
This often shows that a structured optimisation initiative is cheaper than continuing to absorb hidden performance losses every quarter.
Stay competitive and ensure long-term business success by modernising your applications.
With our approach, you can start seeing real value even within the first 4 weeks.
How do we build a roadmap for improving application performance?
A useful roadmap starts with a fact-based baseline: combine monitoring data, user feedback and business KPIs to identify the 5-10 most critical journeys and where they degrade (by device, geography, time of day).
For each, define target response times and stability metrics, then estimate commercial impact (lost conversion, extra calls, SLA risk). This gives you a ranked list of opportunities expressed in business, not technical, terms.
Next, split work into quick wins, structural fixes and capability building.
- Quick wins might include cache tuning, removing heavy scripts or optimizing a few key queries – changes that show visible improvement within weeks.
- Structural fixes cover architecture, database and integration changes that require more planning.
- Capability building means putting in place APM/RUM tooling, standard load tests and clear performance ownership in teams.
Sequence these in 3-6 month waves with explicit outcomes, link them to product roadmaps and major campaigns, and review progress regularly at a joint business-IT forum so performance remains an ongoing priority, not a one-off clean-up.
FAQ
How does cloud and infrastructure choice affect application performance?
Cloud platforms offer elasticity, global regions and managed services that can significantly improve performance if used well.
However, simply “lifting and shifting” to the cloud without redesigning for scalability, latency and resilience can maintain or even worsen issues. Architecture, placement of services and data, and network design are critical.
What tools and metrics should we use to track performance?
Organisations typically use APM (Application Performance Monitoring) tools, log analytics, infrastructure monitoring and real user monitoring (RUM).
Key metrics include response times, throughput, error rates, CPU/memory usage, Apdex scores, crash rates and uptime. For business stakeholders, these should be mapped to KPIs like conversion rate, task completion time and SLA adherence.
How can we ensure performance remains high as we add new features?
Adopt “performance by design”: set non-functional requirements for each feature, use architectural guardrails, review performance impact in design and code review, and continuously monitor after release. Feature flags and gradual rollouts allow you to test real-world impact and roll back quickly if performance degrades.
