A post titled How We Made Deployments Roughly 50% Faster gained significant attention on Zenn. Build and deployment time is not merely "waiting time." Slow deployments raise the psychological barrier to releasing, encourage batching changes together, and consequently delay both detection and remediation of defects. Accelerating deployments is an investment that benefits both development speed and quality.
On the other hand, in custom development environments, vicious cycles where "every deployment takes excessive time, making releases a chore, leading to bundled releases and production incidents" happen constantly. From our position supporting client system development, we view this not merely as "speeding things up," but as an architectural challenge of "whether releases can be fast, safe, executable by anyone, and handed over integrated into operations." Connecting with continuous CI operations in Custom GitHub Actions Supply Chain Continuous Auditing (GH Media), deployment safety in DevOps for Deployment Safety Using eBPF (GH Media), and pre-release quality assurance in Custom Test Automation Adoption Support (GH Media), this article organizes "Deployment Acceleration and CI/CD Improvement Support" as a custom development package.
Why deployment acceleration matters right now
| Dimension | Slow deployment (traditional) | Fast deployment (2026) |
|---|---|---|
| Frequency | Hesitant, batching up changes | Can release small batches frequently |
| Incidents | Large due to bundled releases | Small due to incremental releases |
| Fixes | Takes time to deploy fixes | Can fix immediately |
| Build | Full build every time | Cache utilization |
| Team structure | Dependent on specific individuals | Anyone can release |
| Deliverable | Releasing is a burden | Releasing is routine |
In other words, "making it faster" and "making it safe and accessible for anyone to release" are completely different things, and even in custom development, "accelerating builds, enabling safe, small, frequent releases, and handing over systems integrated into operations" has become a prerequisite for quality. This enables us to guarantee a "structure that continuously releases quickly and safely" as a deliverable.
Three structural changes beneficial to custom development projects
Structure 1: From "full builds" to "cache utilization"
Building from scratch every time wastes time. In custom development, we leverage caching for dependencies and artifacts alongside incremental builds to significantly reduce build times.
Structure 2: From "bundled releases" to "small and frequent"
Large releases lead to larger incidents. In custom development, we enable small, frequent deployments, minimizing the blast radius of any incident.
Structure 3: From "dependent on specific individuals" to "anyone can release"
Personalized deployments collapse when team members leave. In custom development, we provide one-click / automated deployments and runbooks, handing over a structure where anyone can release safely.
5 phases of "deployment acceleration and CI/CD improvement support" provided in custom development
Phase 1: Current state audit (1 week)
- Measuring build and deployment times (identifying bottlenecks)
- Assessing deployment frequency and failure rates
- Checking opportunities for caching and parallelization
- Checking availability of rollback mechanisms
Phase 2: Improvement strategy design (1 week)
- Caching and incremental build strategy
- Job parallelization and partitioning design
- Deployment strategy (phased / blue-green)
- Designing rollbacks on failure
Phase 3: Implementation (2–3 weeks)
- Introducing dependency and artifact caching
- Parallelizing jobs and eliminating unnecessary processing
- Automating deployment and establishing rollbacks
- Integrating notifications and visualization
Phase 4: Verification and adoption (1 week)
- Re-measuring build and deployment times
- Piloting small, frequent releases
- Operational lectures for the team
Phase 5: Ongoing operations (continuous)
- Periodic monitoring of build times and failure rates
- Continuous pipeline improvement
- Rollout to new services
Standard technology stack set for custom development
| Layer | Recommended technology | Alternative |
|---|---|---|
| CI/CD | GitHub Actions | GitLab CI / CircleCI |
| Cache | Action cache / remote cache | Custom cache |
| Build | Turborepo / incremental builds | Full build |
| Distribution | Containers / serverless | VM |
| Deployment | Blue-green / canary | All-at-once replacement |
| Visualization | Pipeline measurement / notifications | Manual log checks |
Which projects need this and which do not
| Projects requiring this | Low-priority projects |
|---|---|
| Deployments take a long time | Static sites that are rarely updated |
| Fear of releasing leads to hoarding changes | Extremely small-scale, manual is sufficient |
| Deployments depend on specific individuals | Built entirely by one person in a short period |
| Anxiety over rollbacks when failures occur | Low-impact sandbox / verification environment |
| Core systems undergoing frequent modifications | Short-lived projects |
Six clauses to include in client contracts
| Clause | Details | What the client should verify |
|---|---|---|
| Target scope | Pipelines to improve | Agreement on priorities |
| Quality goals | Build / deployment time | Target standards |
| Deployment strategy | Phased / rollback | Operational policy |
| Adoption support | Runbooks / training | Premise of in-house operation |
| Handover | Procedures / configuration | Maintenance framework |
| Ongoing maintenance | Improvement / monitoring | Operating costs |
Client ROI estimate (assuming enterprise systems)
| Item | Existing (slow) | Deployment acceleration | Difference |
|---|---|---|---|
| Deployment time | Long duration every time | Reduced by roughly half | Reduction in waiting man-hours |
| Release frequency | Hesitant, batching up changes | Small and frequent | Accelerated development velocity |
| Impact of incidents | Large due to bundled releases | Small due to incremental releases | Reduction in incident response |
| Speed of fixes | Takes time to deploy fixes | Can fix immediately | Shorter recovery time |
| Annual benefit | — | — | Reduction in deployment waiting man-hours + mitigation of incident impact |
Even if a significant investment is required, it can be fully justified by reducing waiting man-hours for every deployment and avoiding even a single batch-release incident.
Five common pitfalls
Pitfall 1: Running a full build every time
This wastes time. Use caching and incremental builds.
Pitfall 2: Not preparing rollbacks
Failures result in prolonged downtime. Establish immediate rollbacks.
Pitfall 3: Releasing changes in bulk
Incidents become catastrophic. Release small changes frequently.
Pitfall 4: Leaving deployments dependent on specific individuals
Everything falls apart when someone leaves. Automate so anyone can deploy.
Pitfall 5: Relying on intuition rather than measurement
Improvements cannot be proven. Measure duration and failure rates.
90-day action plan
| Week | Action |
|---|---|
| Week 1 | Measuring build / deployment times + identifying bottlenecks |
| Week 2 | Designing improvement strategies + deployment strategies |
| Week 3〜5 | Implementing caching / parallelization / automation |
| Week 6 | Remeasurement + operational walkthrough |
| Week 7〜13 | Commencing monitoring + continuous improvement operations |
Summary — From "slow, frightening releases" to "handing over an organization that releases quickly and safely"
Accelerating deployments lowers the psychological hurdle to releasing; small, frequent changes keep incidents minor and speed up fixes. From our position supporting systems through custom development, accelerating builds, enabling safe releases by anyone, and handing over systems embedded into everyday operations via "Deployment Acceleration and CI/CD Improvement Support" is our new flagship service delivering an operational structure capable of fast, safe, continuous releases as a tangible deliverable.
If you are facing challenges like "deployments are so slow that releasing feels daunting," "releasing in bulk causes incidents," or "deployments depend entirely on specific individuals," please feel free to reach out via our contact form.
Sources
- How We Accelerated Deployment Speed by Roughly 50% (Zenn 2026-06-02)
- Custom GitHub Actions Supply Chain Continuous Auditing (GH Media)
- DevOps for Deployment Safety via eBPF (GH Media)
- Support for Establishing Test Automation in Client Engagements (GH Media)
- Cost Optimization for Custom Development Agents via GitHub MCP Pruning (GH Media)
