diff --git a/content/en/blog/2026/japanese-survey/collector-distribution-table.png b/content/en/blog/2026/japanese-survey/collector-distribution-table.png new file mode 100644 index 000000000000..b4b2951da60f Binary files /dev/null and b/content/en/blog/2026/japanese-survey/collector-distribution-table.png differ diff --git a/content/en/blog/2026/japanese-survey/collector-distribution.png b/content/en/blog/2026/japanese-survey/collector-distribution.png new file mode 100644 index 000000000000..156e969859b2 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/collector-distribution.png differ diff --git a/content/en/blog/2026/japanese-survey/company-size.png b/content/en/blog/2026/japanese-survey/company-size.png new file mode 100644 index 000000000000..7f96c4dba285 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/company-size.png differ diff --git a/content/en/blog/2026/japanese-survey/event-types.png b/content/en/blog/2026/japanese-survey/event-types.png new file mode 100644 index 000000000000..6506f910564a Binary files /dev/null and b/content/en/blog/2026/japanese-survey/event-types.png differ diff --git a/content/en/blog/2026/japanese-survey/events-attended.png b/content/en/blog/2026/japanese-survey/events-attended.png new file mode 100644 index 000000000000..a4c797300723 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/events-attended.png differ diff --git a/content/en/blog/2026/japanese-survey/events-table.png b/content/en/blog/2026/japanese-survey/events-table.png new file mode 100644 index 000000000000..b082f39af151 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/events-table.png differ diff --git a/content/en/blog/2026/japanese-survey/index.md b/content/en/blog/2026/japanese-survey/index.md new file mode 100644 index 000000000000..f3743a36a1f2 --- /dev/null +++ b/content/en/blog/2026/japanese-survey/index.md @@ -0,0 +1,179 @@ +--- +title: OpenTelemetry Japanese Community Survey +linkTitle: OTel Japanese Survey +date: 2026-04-28 +author: >- + "[Ernest Owojori](https://github.com/E-STAT), [Andrej + Kiripolsky](https://github.com/andrejkiri), [Yoshifumi + YAMAGUCHI](https://github.com/ymotongpoo) (Grafana Labs), [Austin + Parker](https://github.com/austinlparker) (Honeycomb.io)" +issue: 8985 +sig: End User +# prettier-ignore +cSpell:ignore: kanto kinki Kiripolsky Owojori Parker qiita YAMAGUCHI Yoshifumi zenn +--- + +This report presents findings from the OpenTelemetry Japanese Community Survey, +conducted to understand the current landscape of OTel awareness, adoption, and +community engagement among developers and engineers in Japan. The survey +targeted practitioners across roles such as development, SRE, DevOps, and +Platform Engineering, distributed through CNCF community channels and Japanese +social platforms like X (formerly Twitter), [Qiita](https://qiita.com/), and +Zenn. The goal was to develop data-driven strategies that can meaningfully grow +OTel usage and engagement within Japan's tech ecosystem. + +## Key takeaways + +- When it comes to OTel adoption, this survey reached a mature audience with + 61.47% already running it in production and a further 25.69% under evaluation + — together accounting for nearly 87% of respondents. +- Traces dominate signal collection at 93%, contrary to global OTel surveys, + where metrics typically lead. +- The community is strongly satisfied, with an NPS of +49, though 27.37% remain + passive — a conversion opportunity through better documentation and community + engagement. +- Go teams show the strongest adoption commitment, jumping from 39% in + evaluation to 76% in production — the largest increase of any language. +- 86% of respondents attend conferences, yet only 25% attended KubeCon Japan + 2025, signalling significant untapped reach for future editions. +- Twitter/X is the second most used information channel (83%), yet OpenTelemetry + has no presence there nor in the popular local social platforms Zenn or Qiita. + If we want to engage with the Japanese audience, we should consider addressing + this. + +## Demographics and background + +The respondent pool skews heavily toward **development teams** (44.95%), with +SRE as the second-largest group (22.94%). DevOps, Platform Engineering, and +Sales Engineering make up the remaining mid-tier, while Operations and dedicated +Observability roles account for less than 7% combined. Geographically, the +survey is strongly concentrated in the **Kanto region** (76.15%) — which +includes Tokyo — with Kinki (Osaka/Kyoto area) at 12.84% being a distant second. +This is unsurprising given Tokyo's dominance in Japan's tech industry, but it's +worth acknowledging that the results may not fully represent the broader +Japanese developer population outside these urban centres. + +On company size, the survey skews toward larger organisations: 44.04% come from +mid-large companies (100–999 employees) and 35.78% from enterprises with over +1,000 employees. Small companies (1–49) account for just 14.68%. This is +relevant because larger organisations tend to have more structured observability +practices and the resources to evaluate and adopt tools like OTel. + +![image1](team-type.png) ![image2](region.png) ![image3](company-size.png) +![image4](vendor.png) + +## OpenTelemetry adoption + +### OTel adoption maturity + +The adoption story is broadly positive. A strong majority (61.47%) are already +running OTel in production, while 25.69% are still in testing or evaluation. +Only 12.84% have heard of it but haven't used it. Together, the "in production" +and "under evaluation" cohorts account for nearly 87% of respondents, suggesting +this survey reached an already engaged audience, which is typical when +distributed through community channels. + +![image5](otel-adoption.png) + +### Telemetry signals collected + +**Traces** are the most widely collected signal at 93%, followed by Metrics +(71%), Logs (60%), and Profiles, trailing significantly at just 13%. This is +contrary to previous surveys within the OTel community, which have metrics +leading usage. + +![image6](telemetry-signals.png) + +### Collector distribution + +Among collector choices, the **Contrib Collector** is most popular at 59%, +reflecting demand for the broader plugin ecosystem it provides. Core Collector +and OCB (OpenTelemetry Collector Builder) are tied at 27% each. The OCB figure +is notable, revealing that 27% of users are building custom distributions, +suggesting a meaningful portion of the community has advanced, production-grade +needs. Notably, mid-large companies (100–999 employees) account for half of all +Contrib Collector users — a disproportionately high share compared to their +representation in Core (23%) and OCB (32%). This likely reflects the fact that +these organisations are complex enough to need Contrib's broad integration +library, but have not yet reached the scale or platform engineering capacity to +justify building and maintaining a fully custom OCB distribution. + +![image7](collector-distribution.png) +![image8](collector-distribution-table.png) + +### Programming languages + +Java leads at 61%, followed closely by Go (57%) and JavaScript/TypeScript (50%). +Python sits at 33%. Interestingly, the comparison of OTel adoption vs +programming languages shows that out of the 28 evaluating and 67 running OTel, +39% and 76% are using Go, respectively. On the other hand, 71% of Java are +evaluating OTel, and 69% are running it in production. This suggests that Go +teams are particularly committed once they adopt OTel. + +![image9](programming-lang.png) ![image10](otel-adoption-programming-lang.png) + +### Net Promoter Score (NPS) + +The NPS of approximately +49 (61.05% promoters minus 11.58% detractors) is a +positive result for an open source project. Over 6 in 10 respondents are +enthusiastic advocates. That said, more than a quarter are passive, representing +an opportunity to convert them through better documentation, community events, +and success stories. + +![image11](nps.png) + +## IT community and events + +### Event type preferences + +A clear majority (64.22%) prefer **both in-person and virtual events**, +indicating that a hybrid approach would best serve the community. Pure in-person +preference sits at 22.02%, while virtual-only is 8.26%. Only 5.5% expressed no +preference for either format. This strongly supports running hybrid events +rather than choosing one mode exclusively. + +![image12](event-types.png) + +### Events attended + +General IT **conferences** dominate attendance at 86%, which reflects Japan's +active conference culture. KubeCon + CloudNativeCon Japan 2025, hands-on +workshops, and technical deep dives each attracted 25% of respondents. +Networking events (17%) and beginner tutorials (9%) are lower. If 86% of +respondents attend conferences, and just about 25% attended the previous +(first-ever) KubeCon, that leaves room for lots of potential attendees for +future events, and this makes us ask a further question: **what proportion of +KubeCon absentees prefer virtual events?** As shown in the graph below, we found +no relationship between the event choice and missing KubeCon. **Therefore, we +suggest future KubeCon events to explore better ways to reach the Japanese +community.** + +![image12](events-attended.png) ![image13](events-table.png) + +## Information sources + +**Official documentation** (85%), **Twitter/X** (83%), **GitHub** (81%), and +**Blogs** (80%) are the four dominant information channels — all tightly +clustered. Japanese-specific platforms Zenn (62%) and Qiita (39%) are notably +significant, reflecting the importance of Japanese-language technical content. +YouTube (19%) and LinkedIn (9%) are the least-used channels in this community. +Given that OpenTelemetry does not currently have a Twitter/X account, this poses +the question to the Governance Committee: **Do we open a Twitter/X account to +reach Japanese or explore other local platforms?** + +![image14](information-sources.png) + +## Summary + +The survey paints a picture of a community that is **mature and engaged**. Most +respondents already use OTel in production, broadly recommend it, and actively +participate in the tech community through conferences and online platforms. The +key opportunities lie in: + +- Expanding reach beyond Kanto over time. +- Focusing on current events in the Kanto region. +- Nurturing the 25% still in evaluation. +- Growing Japanese-language documentation. +- Calling for social reach for the Japanese. +- Running hybrid events that serve both the in-person and virtual segments of + the community. diff --git a/content/en/blog/2026/japanese-survey/information-sources.png b/content/en/blog/2026/japanese-survey/information-sources.png new file mode 100644 index 000000000000..0d8dfc664117 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/information-sources.png differ diff --git a/content/en/blog/2026/japanese-survey/nps.png b/content/en/blog/2026/japanese-survey/nps.png new file mode 100644 index 000000000000..e8f524aa8e81 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/nps.png differ diff --git a/content/en/blog/2026/japanese-survey/otel-adoption-programming-lang.png b/content/en/blog/2026/japanese-survey/otel-adoption-programming-lang.png new file mode 100644 index 000000000000..8e24faaa3310 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/otel-adoption-programming-lang.png differ diff --git a/content/en/blog/2026/japanese-survey/otel-adoption.png b/content/en/blog/2026/japanese-survey/otel-adoption.png new file mode 100644 index 000000000000..110b5f4ecbb9 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/otel-adoption.png differ diff --git a/content/en/blog/2026/japanese-survey/programming-lang.png b/content/en/blog/2026/japanese-survey/programming-lang.png new file mode 100644 index 000000000000..addd279bc406 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/programming-lang.png differ diff --git a/content/en/blog/2026/japanese-survey/region.png b/content/en/blog/2026/japanese-survey/region.png new file mode 100644 index 000000000000..2bfd2a8c0801 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/region.png differ diff --git a/content/en/blog/2026/japanese-survey/team-type.png b/content/en/blog/2026/japanese-survey/team-type.png new file mode 100644 index 000000000000..9c62f0261042 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/team-type.png differ diff --git a/content/en/blog/2026/japanese-survey/telemetry-signals.png b/content/en/blog/2026/japanese-survey/telemetry-signals.png new file mode 100644 index 000000000000..4e4c8bdceeb2 Binary files /dev/null and b/content/en/blog/2026/japanese-survey/telemetry-signals.png differ diff --git a/content/en/blog/2026/japanese-survey/vendor.png b/content/en/blog/2026/japanese-survey/vendor.png new file mode 100644 index 000000000000..94eaee392bde Binary files /dev/null and b/content/en/blog/2026/japanese-survey/vendor.png differ diff --git a/static/refcache.json b/static/refcache.json index 02c1e211076a..7314589216c3 100644 --- a/static/refcache.json +++ b/static/refcache.json @@ -21887,6 +21887,10 @@ "StatusCode": 200, "LastSeen": "2026-03-18T09:54:07.178804551Z" }, + "https://qiita.com/": { + "StatusCode": 200, + "LastSeen": "2026-04-24T14:15:17.845205-07:00" + }, "https://qryn.metrico.in/#/support?id=tempo-api": { "StatusCode": 206, "LastSeen": "2026-03-17T09:56:41.447474834Z"