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Use Case

Improve Cloud Application Performance

Find and fix the bottlenecks that slow cloud applications, using measured data to improve response times without simply adding more capacity.

The Challenge

Why Cloud Applications Slow Down

Performance problems usually come from bottlenecks in design, sizing or data access, and they are hard to fix without the right data.

Poor Sizing

Resources are too small at peak, or too large and costly the rest of the time.

Slow Data Access

Databases and storage struggle with growing volumes.

Frustrated Users

Slow responses hurt productivity and customer experience.

Is This Relevant?

Is This Use Case Relevant to Your Organization?

The people, moments and signals that usually bring this need to the surface.

Relevant Teams

  • Application owners
  • Engineering and operations teams
  • Customer-facing business teams

Common Triggers

  • Complaints about slow applications
  • Growth in users or data
  • A recent migration to the cloud

Warning Signs

  • Slow pages or transactions at peak times
  • Rising database response times
  • Performance issues nobody can explain

Typical Environments

  • Public cloud, in one or more providers
  • Hybrid environments with cloud-hosted services

Benefits

What Better Looks Like

Intended benefits. Actual results depend on your environment and starting point.

Faster Response Times

Applications that respond quickly, even at busy times.

Right-Sized Resources

Capacity matched to demand, without overspending.

Happier Users

Fewer complaints about slow systems.

Our Approach

A Practical Approach

A cycle of design, testing and improvement, so resilience keeps pace with change. Each stage is tailored to your environment.

Assess

Review architecture, past incidents, monitoring and recovery arrangements.

Prioritize

Rank what you find by business impact, effort and risk, and agree where to start.

Design

Agree availability targets and the design patterns for each service.

Implement

Apply design changes, monitoring and automation in planned stages.

Validate and Optimize

Test failover and recovery, and check performance under load.

Technology

Technology Options

Where technology fits in the approach. Specific platforms and partner status are confirmed for each engagement.

Cloud Platform Services

Availability zones, load balancing and scaling features of your cloud provider.

Infrastructure as Code

Versioned templates that rebuild environments consistently.

Before You Start

What to Consider Before Getting Started

A little preparation makes the first assessment faster and its findings more reliable.

  • Performance targets for key transactions
  • Monitoring and tracing already in place
  • Database and storage design
  • Cost impact of any added capacity
  • Who will own the work and act on recommendations
  • Engagement model and ongoing support

Measuring Success

How to Measure Success

Illustrative measures. Agree a baseline first, and keep targets separate from measured results.

Response Time

How quickly key transactions complete.

Error Rate

Errors seen by users.

Utilization

Use of compute and database capacity.

Cost per Transaction

Infrastructure cost relative to work done.

Our Approach

How We Deliver Results

How Signisys works, from the first assessment to handover and beyond.

Learn More

01

A Defined Methodology

Every engagement follows the Signisys delivery methodology, with agreed stages, checkpoints and handover.

02

Agreed Baseline

Each engagement records your starting point first, so progress is measured against where you began.

03

Skills Matched to the Work

Each engagement is staffed for the platforms and skills in scope, agreed with you during planning.

04

Clear Success Measures

Success measures are agreed at the start and reviewed with you at every checkpoint.

FAQs

Frequently Asked Questions

Common questions about this use case.

How do we find the cause of slow performance?

Monitoring and tracing show where time is spent: in code, databases, storage or network. Measuring before changing anything avoids guesswork.

Is adding more capacity the answer?

Sometimes, but often the bottleneck is elsewhere. Fixing the real cause usually costs less than adding resources.

What information is needed to get started?

The applications affected, when slowdowns happen, current monitoring data, and the architecture of the application and its database.

Which environments does this apply to?

Public cloud, in one or more providers, and hybrid environments.

How is progress measured?

Agree a baseline for measures such as response time, error rate, utilization and cost per transaction, then track them over time.

Related Content

Related Outcomes, Use Cases and Guides

Where to go next: the outcome this use case supports, nearby scenarios, technology partners and practical guides.

Problem Explainer

What Causes Slow Cloud Applications? Common Problems and Warning Signs

Coming soon

How-To Guide

How to Improve Cloud Application Performance: A Practical Step-by-Step Guide

Coming soon

Checklist

Improve Cloud Application Performance Checklist: What IT Teams Should Assess

Coming soon

Decision Guide

How to Choose the Right Approach to Improve Cloud Application Performance: Options and Trade-Offs

Coming soon

Speed Up Cloud Applications

Share your current challenges and priorities with Signisys to explore an approach suited to your environment.

Book a Consultation

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