Static-site simplicity where it's the right fit
Jekyll site builds for teams that want speed, security, and simplicity over a full database-backed CMS.
Jekyll is a static site generator that converts Markdown content into pre-built HTML files, removing the database and server-side layer that a traditional CMS depends on.
What is Jekyll?
Jekyll takes content written in Markdown and outputs plain HTML files, with no database and no server-side processing at request time. There's no admin panel logging into a live server and nothing running that needs patching against a constant stream of vulnerabilities - the tradeoff is that content changes require a rebuild and redeploy rather than a live edit.
Skip evaluating it and you may be paying for database-backed CMS overhead - real-time editing, dynamic per-request rendering, complex permissions - that a mostly informational, infrequently updated site never actually uses, while still carrying the security and hosting cost that machinery adds.
It's different from a traditional database-backed CMS like WordPress, which suits frequent edits by non-technical teams, and from a headless CMS, which can sit on top of Jekyll itself to give editors a friendlier interface without bringing back the database.
Common problems we solve
No live editing for non-technical staff
Content changes generally need a Git-based workflow or a headless CMS layered on top.
Every edit needs a rebuild
Changes require a rebuild and redeploy, adding a small delay compared to a live database edit.
Doesn't fit highly dynamic content
Personalised or frequently transactional content does not fit the static model well.
No plan for who updates content
Without an editor workflow, every content change becomes a developer request.
Generic starter theme left unmodified
Off-the-shelf themes rarely match how your content and templates actually need to be organised.
Everything covered in this service
Site Architecture
Content and template structure, collections, and clean URLs planned before the first build.
Markdown Content Workflows
Front-matter-driven authoring with Git-based version history for every change.
Build & Deployment Pipeline
Automated builds, a staging environment, and rollback via version control.
Performance Tuning
Asset optimisation and CDN configuration that keeps build times in check as content grows.
CMS Layer (Optional)
A lightweight headless CMS or Git-based editor layered on top for non-technical editors.
Our optimization framework
Plan Content & Structure
We map the content types and volume before choosing how collections and templates should be organised.
Build Templates
The Jekyll site is built with clean, maintainable templates rather than a generic starter theme left mostly unmodified.
Set Up Deployment
We set up automated builds and deploys, with a staging environment so nothing goes to production unreviewed.
Enable Editors
If non-technical editors need to update content, we document the workflow clearly or layer on a lightweight CMS.
Optimize & Handover
Assets are optimised at build time and the team is handed a working, documented pipeline rather than a black box.
What actually changes
| Before | After |
|---|---|
| Database to secure and patch | No database - nothing to inject into |
| Pages assembled on each request | Pages served pre-built and fast |
| Generic unmodified starter theme | Templates built for your actual content |
| No editor workflow documented | Clear Git workflow or CMS layer for editors |
| Manual, undocumented deploys | Automated build, staging, and rollback |
What we report on
Build time
Tracked as content volume grows, so the pipeline stays fast rather than quietly degrading.
Page load speed
Measured against a database-backed equivalent to confirm the static site is actually faster.
Deployment reliability
Deployment frequency and rollback success tracked so the pipeline stays trustworthy.
Tools & platforms
Industries we optimize for
Built for teams like yours
Why choose EASI7
We fix tracking before we touch results
Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.
One accountable team, not siloed vendors
The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.
Built for how AI search actually works
Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.
Reporting tied to your own dashboard
Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.
The teams who regret choosing Jekyll almost never regret the technology itself - they regret not having a plan for who updates content and how. A static site with no editor workflow just means every content change becomes a developer request, which is fine for some teams and a bottleneck for others.
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How to engage us for this
Project-based
A defined outcome with a start and end date - an audit, a migration, a campaign build, a tracking overhaul. Fixed scope, fixed price, agreed upfront.
Ongoing retainer
Continuous management and optimization once the initial build is live - campaigns, SEO, reporting, and iteration run every month under one accountable team.
Advisory
Strategy and oversight without full delivery - we review what's already running, unblock decisions, and point an in-house or existing team in the right direction.
Common questions
Not directly through Git in most cases, no. We either train the team on a simplified Git-based workflow, or layer a lightweight headless CMS or Git-based editor on top so non-technical editors get something closer to a familiar interface.
It removes an entire category of risk - there's no database to inject into and no server-side script executing on each request - but it doesn't make a site invulnerable. Build pipeline security and hosting configuration still matter.
Yes, and we can go the other direction too if a static site later needs dynamic features it can't support. Content usually migrates cleanly; the bigger question is whether your team's editing workflow will fit the static model.
Meaningfully faster in most cases, because pages are pre-built rather than assembled on each request. The exact gap depends on what the comparison CMS setup looks like and how well it's been optimised.
No - if your content needs grow to require real-time multi-user editing, e-commerce transactions, or highly personalised content, a static site stops being the right fit and a migration becomes the honest recommendation, not something we'd stretch the original build past its limits to avoid.
Not natively - static sites can integrate third-party services like payment processors, forms, and search via client-side JavaScript and APIs, but complex transactional functionality generally points toward a database-backed platform instead.
Not sure if a static site fits your content needs?
We'll look at how your content actually changes before recommending Jekyll over a full CMS.
Ready to get started?
We usually reply within 24 hours.
Jekyll, in detail
Scope, area by area
| Area | What we deliver |
|---|---|
| Site Architecture | Jekyll site structure, collections, and templates built for the actual content |
| Deployment Pipeline | Automated build and deploy process with a staging step |
| Editor Workflow | Documentation, and a CMS layer if needed, for non-technical content updates |
How this compares
| Jekyll (Static) | Traditional Database-Backed CMS |
|---|---|
| No database to secure or exploit | Database is a constant attack surface |
| Pages served pre-built, typically faster | Pages rendered server-side on each request |
| Content changes require a rebuild and deploy | Content changes are live immediately |
| Best for content updated by technical or Git-comfortable teams | Better suited to frequent edits by non-technical teams |
Neither is universally better - the deciding factor is how often content changes and who needs to change it.
What we measure this against
- Build time as content volume grows
- Page load speed against a database-backed equivalent
- Deployment frequency and rollback reliability
Where this applies
- A company blog or documentation site with infrequent, batch-style updates
- A marketing site that needs to be fast and cheap to host at scale
- A technical team that wants version-controlled content alongside version-controlled code