Edge caching strategy

Edge caching strategy is a project: we analyze content types (static, semi-static pages, dynamics, personalized), design edge cache rules (TTL, cache keys, variation by device/language/cookie), set up update mechanisms (event/tag invalidation, stale-while-revalidate), and where possible partial caching of dynamic pages. Honestly about the main difficulty, this is key: 'in caching the hard part is not writing but invalidation' — showing a stale price/stock/content is worse than not caching at all; so the core of the work is correct cache updating so the user does not see old content, and we test this thoroughly. Honestly about limits: personalized and frequently changing dynamic content (cart, account, per-user prices) is cached to a limited extent or not at all — that is normal, we cache what is safe. Honestly about the effect: for cacheable content the win is large and measurable (repeat serving is almost instant, the origin is offloaded), but it does not fundamentally speed up the non-cacheable. Honestly about risk: wrong cache rules = stale or content 'leaked' between users — so caution and tests are mandatory. Honestly about business: speedup helps, we do NOT guarantee sales growth by itself. Honestly about access: a CDN supporting the needed rules and config access are needed. An important boundary: this is an edge cache strategy, not connecting a CDN from scratch (713 — prerequisite/adjacent), not application server cache (720) and not content optimization. If almost all content is personalized, the edge-cache win is limited — we say so honestly. Picture this: instead of 'every request goes to the origin' repeat opens are served instantly from the edge, without stale data. The base price starts from 18,000 ₽ per project; it depends on content types and the CDN.

• Every request goes to the origin, repeat opens are not instant.
• The cache is either absent or shows stale content.
• Invalidation is not set up — old content 'sticks'.
• You do not cache dynamics and semi-static, though part can be.

• Analysis of content types and what is safe to cache
• Edge cache rules (TTL, keys, variation)
• Invalidation mechanisms (event/tag, stale-while-revalidate)
• Partial caching of dynamics where possible
• Thorough testing of updating (no stale/leaks)
• A 'before/after' report by speed and origin load
• Strategy documentation
• Handover and review with you

• Repeat opens are almost instant (for cacheable)
• The origin server is offloaded
• Correct invalidation — without stale data
• A thought-out strategy (sales growth — not guaranteed)

• We analyze content and CDN; design rules and invalidation
• We implement cache and updating, thoroughly test freshness
• We measure the effect, deliver documentation, review with you

• Can you cache everything for maximum speed?

  No. Personalized and frequently changing content (cart, per-user prices, account) is dangerous to cache — you would show someone else's or stale content. We cache what is safe; for dynamics — partially or with short TTLs. The main task is not to show old content.

• What is the hardest part of caching?

  Invalidation — correct cache updating. Showing a stale price/stock is worse than not caching. So the core of the work is update mechanisms and tests, so the user does not see old content and data does not 'leak' between users.

• Will it speed up and raise sales?

  For cacheable content the win is large and measurable, but it does not speed up the non-cacheable. We do not guarantee sales growth by itself — it is part of speed and resilience.