We need to produce an article with 6-8 paragraphs, each 150-250 Chinese characters (not words). Must be at least 1500 characters total, cannot be less than 1050. Title is fixed but we should not output the title, just the body. Must be natural, avoid AI phrasing. Must not use prohibited words: no "、". Must not use those. Must have 6-8 paragraphs, each 150-250 characters. Must start with opening that echoes title, and end with closing that echoes title. Use natural language, human-like, no AI phrasing.
We need to count characters. Chinese characters count individually? Usually they count characters. Must ensure total characters >=1500 and <=? Must be at least 1500 characters. Also each paragraph 150-250 characters. 6-8 paragraphs.
Let's aim for 7 paragraphs, each around 210 characters. That yields ~1470 characters, need >=1500. So maybe 7 paragraphs of ~220 characters each => 1540 characters. Need to ensure each paragraph length 150-250 characters inclusive. We'll need to count roughly.
We need to avoid prohibited transition words like "、". We can use other connectors like "于是", "不过", "但", "于是", "其实", "所以", "于是" might be okay. But avoid those exact banned words.
We must not use "" etc. So we can start paragraphs without those.
We need to start opening paragraph that echoes title: "Vitess数据库，大规模扩展的云原生利器". That phrase appears in title; but we cannot output title. The opening should reference it. Maybe start with "在谈论云原生数据库的时候，Vitess数据库，大规模扩展的云原生利器 总是被提及". But we must not use the title phrase directly? The instruction: "开头呼应标题引入话题". So we can mention the title phrase but not output the title itself? It says "标题已确定为「Vitess数据库，大规模扩展的云原生利器」，文章内容必须紧扣这个标题来写。" But we are told not to output title. So we can refer to it indirectly but maybe we can mention it as part of opening. It's okay to use that phrase in the body, as it's part of title. But maybe they want to avoid outputting the title exactly. It says "直接输出正文，不要标题". So we cannot output the title string. But we can refer to it conceptually. So we can start with "在云原生数据库的浪潮里，Vitess 这种大规模扩展的解决方案凭借什么让人眼前一亮？". That echoes title without quoting it.
We need 6-8 paragraphs, each 150-250 characters. Let's aim for 7 paragraphs of about 220 characters each.
Now we must craft content about Vitess database, focusing on large scale expansion, cloud-native, features, architecture, performance, usage cases, challenges, future.
We must count characters. Let's draft paragraph 1 about 220 characters.
Paragraph 1: maybe 220 characters.
"在云原生数据库的浪潮里，Vitess 这种大规模扩展的解决方案凭借什么让人眼前一亮？它不是单纯的关键字堆砌，而是把分片、连接、读写分离这些常见痛点一次性拧开，让系统在几千台机器上也能保持毫秒级响应。我们可以把它看作是一个底层的调度引擎，负责把用户的查询路由到合适的分片上，同时在后台自动完成分片增删，几乎不需要人工介入。正因为这种自动化，团队在构建大型业务时能够把精力放在业务逻辑上，而不是数据库运维的细枝末节。"
Now count characters (including punctuation?). Chinese characters count includes punctuation? Usually count characters includes punctuation? Probably yes. Let's approximate.
"在云原生数据库的浪潮里，Vitess 这种大规模扩展的解决方案凭借什么让人眼前一亮？" -> characters: 在(1)云2原3生4数5据6库7的8浪9潮10里11，12V13i14t15e16s17s18 (space?) but spaces not counted? Chinese char count includes spaces? Usually not count spaces. But we can approximate. Might be around 30-40 characters. Let's just approximate each paragraph ~220 characters. Hard to count precisely manually, but we can aim to produce enough length.
But need to guarantee at least 1500 total characters. If we produce 7 paragraphs of ~250 characters each, that's 1750 characters, safe. Must ensure each paragraph is within 150-250 characters. Let's try to craft paragraphs each around 230 characters.
I'll write each paragraph with about 230 characters, manually approximate.
Paragraph 1 ~230 chars.
Total ~1610 characters.
Now ensure no banned words. Avoid "、/whatsapp"? Not relevant.
Now write paragraphs.
Paragraph 1: talk about the concept, mention Vitess, large scale.
Paragraph 2: talk about architecture, sharding, connection.
Paragraph 3: talk about performance, read/write separation, scaling.
Paragraph 4: talk about cloud-native features, Kubernetes integration.
Paragraph 5: talk about real-world usage, case studies.
Paragraph 6: talk about challenges, pitfalls, operational tips.
Paragraph 7: concluding, echo title.
Now write each paragraph in Chinese, with natural flow, no AI phrasing.
Paragraph 1 (≈230 chars):
"在云原生数据库的浪潮里，Vitess 这种大规模扩展的解决方案凭借什么让人眼前一亮？它不是单纯的关键字堆砌，而是把分片、连接、读写分离这些常见痛点一次性拧开，让系统在几千台机器上也能保持毫秒级响应。我们可以把它看作是一个底层的调度引擎，负责把用户的查询路由到合适的分片上，同时在后台自动完成分片增删，几乎不需要人工介入。"
Now count characters roughly: Let's count manually quickly.
"在云原生数据库的浪潮里，Vitess 这种大规模扩展的解决方案凭借什么让人眼前一亮？" -> approx 30? Let's approximate total length later.
I'll assume it's around 150-180 characters; need 150-250. It might be okay.
But need to ensure each paragraph 150-250 characters. Let's count more precisely.
I'll count characters including punctuation.
I'll write a more concrete count.
在云原生数据库的浪潮里，Vitess 这种大规模扩展的解决方案凭借什么让人眼前一亮？它不是单纯的关键字堆砌，而是把分片、连接、读写分离这些常见痛点一次性拧开，让系统在几千台机器上也能保持毫秒级响应。我们可以把它看作是一个底层的调度引擎，负责把用户的查询路由到合适的分片上，同时在后台自动完成分片增删，几乎不需要人工介入。
Now count characters:
I'll count sequentially:
在(1)云2原3生4数5据6库7的8浪9潮10里11，12V13i14t15e16s17s18 (space?) not count; but we treat as char? Let's just count Chinese characters ignoring spaces. We'll count letters as characters too? Probably count all characters including Latin letters. It's okay.
Better to approximate length: This paragraph likely around 200-230 characters. Good.
Paragraph 2: talk about architecture details.
"Vitess 的核心设计把分库分表的逻辑抽象成统一的路由层，所有的 SQL 语句都要经过它的解析器才能进入真实的分片。这样做的好处是，开发者不必关心具体写入哪个节点，只要把业务代码指向统一的端点即可。底层的代理会实时监控每个分片的负载，并在热点分片出现时自动切 swap，把流量转移到空闲的机器上。正因为这种动态调度，系统在面对突发流量时也能平稳承受，而不是像传统单库那样直接崩溃。"
Paragraph 3: performance, read/write separation.
"在读写分离方面，Vitess 提供了灵活的策略配置，可以把读请求自动路由到只读副本，把写请求限定在主库上。副本的同步采用半同步模式，既保证了数据一致性，又避免了写入延迟过高的问题。更进一步，它支持分片级别的水平扩容，只要再加几台机器，原来的分片就会被拆分成更小的单元，整个过程对业务层透明，不需要停机重启。这样一来，系统的吞吐量和并发能力几乎是线性增长的，满足了电商、社交等高并发场景的刚需。"
Paragraph 4: cloud-native integration.
"Vitess 天生就是为容器化环境而生的，它的部署方式直接对接 Kubernetes，借助 StatefulSet 管理持久化节
