Performance & Capacity Analytics
Performance and capacity analytics that correlate historical trends with business drivers, so you can see resource exhaustion coming, forecast infrastructure requirements months in advance and allocate resources efficiently across your entire technology estate.
What we deliver
Using time-series forecasting and regression models to predict future resource needs (CPU, RAM, storage, IOPS) based on historical growth and upcoming business events like seasonal sales or new product launches.
A detailed look at how efficiently your workloads use resources. We identify oversized instances, zombie resources and underutilized storage volumes, and recommend specific rightsizing changes.
Correlating infrastructure metrics with application performance and business KPIs. We answer questions like: 'How does a 10% increase in database CPU affect our users' checkout experience?'
Roadmap planning for hardware and software replacement. We align capacity analytics with vendor roadmaps so end-of-life dates and capacity cliffs do not catch you off guard.
Systematic identification of architectural bottlenecks. We use queuing theory and saturation analytics to pinpoint where your systems will break next as demand increases.
Data-driven decision support for infrastructure investments. We provide the analytics you need to weigh the cost of performance improvements against the business benefits they deliver.
How it works
Every engagement follows the same five steps: baseline the current state, design the target model, roll out in stages, operate it, and improve against measurements.
Assess
Baseline the current state, name the gaps and put the success criteria in writing.
Design
Architect the target operating model and the toolchain it needs.
Deploy
Implement, configure and validate in a staged rollout.
Operate
24/7 management with contracted response times and proactive monitoring.
Improve
Continuous improvement driven by metrics, incidents and changes in the business.
Every engagement runs under a written SLA: a commitment, not a best-effort promise.
Dedicated engineers who know your stack. No generalist help-desk tier in between.
Service reviews every two weeks, roadmap updates every quarter.
Who uses this
The industries we run Performance & Capacity Analytics for.
The technologies we run this on
The concepts behind this service
- Capacity planning
- Measuring current resource use and projecting future need.
- Optimization
- Reworking a system or process to deliver the same result with fewer resources.
- Load testing
- Measuring how a system behaves under expected and above-expected traffic, so the capacity decision rests on measurement rather than estimate.
This section explains the technical terms used on this page. The definitions come from Eclit's own technology glossary, and each term links through to its full entry there.
The full technology glossary →Knowledge Hub
What we have written about running and managing technology, collected in one place.
01How often should capacity planning be done?
Monthly review with a quarterly forecast update. Planning once a year falls behind when growth accelerates, while a full re-plan every month is unnecessary overhead.
02How far ahead can you see?
Reliably three to six months ahead, when the growth curve is regular. Sudden jumps (a new application, a campaign, an acquisition) fall outside the forecast, which is why we read it alongside the business plan.
03Do you find over-provisioned systems too?
Yes, and the bigger saving is usually there. We list systems with persistently low utilization, each with a downsizing recommendation and its risk. Capacity management is about shrinking as well as growing.
04How do you account for peak load?
With percentiles, not averages. A system planned to the average falls short at peak. Month-end, campaign and seasonal peaks are modeled separately.
05Who is the report for?
We produce two versions: system-level detail for the technical team, and a summary for management showing when and how much investment will be needed. The second is the document actually used at budget time.
Let's work out where to start
Within two weeks you get it in writing: what works, what carries risk, and a prioritized roadmap.
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