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What DevOps and platform engineering includes
DevOps is how code gets from a developer's laptop to production safely and often. Platform engineering packages that path so every team uses the same pipelines, environments and guardrails without rebuilding them. Together they turn a release from an event into a habit. The service belongs to our Cloud & DevOps family.
Included
- CI/CD pipelines with automated tests and approvals
- Development, staging and production environments written as code
- Containers, release strategies and environment promotion
- Monitoring, logging, alerting and dashboards
- Secrets management, access model and security checks in the pipeline
- Runbooks, templates and a knowledge-transfer session
Not included
- Feature development of the application itself
- Cloud provider bills and third-party licences
- Office IT and help-desk support
- Round-the-clock on-site staff
- Guaranteed uptime or response-time figures
When to use it, and when another route fits
DevOps work fits when shipping software has become slower or riskier than writing it.
Good fit
- Manual deployments that only one person knows how to run
- Staging that does not match production
- Outages found by customers before the team
- Several teams building their own pipelines in different ways
Another route fits better
- A site that changes a few times a year
- A move from old servers to the cloud comes first: start with migration
- A live platform that only needs looking after: managed cloud fits
- The bottleneck is product decisions, not delivery
Other routes are listed in the services directory.
Outcomes and buyer jobs
Engineering leaders hire DevOps and platform engineering to:
Every change passes the same automated checks before it reaches customers.
Staging matches production, and a new environment takes minutes.
Dashboards and alerts catch errors and slowdowns before support tickets do.
Shared templates and pipelines let new services start with security and monitoring built in.
Capability modules and deliverables
Current release flow, bottlenecks, risks and the delivery measures to track
Build, test, security scan and deploy stages with approvals
Version-controlled definitions for every environment
Staged, blue-green or canary releases with rollback
Metrics, logs, alerts and service dashboards
Reusable service templates, runbooks and onboarding notes
We measure progress with the software delivery measures DORA publishes, such as change lead time, deployment frequency, change fail rate and failed deployment recovery time, taken from your own pipeline rather than from a survey.
Delivery process, team and governance
Every DevOps engagement runs on our six-step delivery lifecycle:
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Discovery and strategic alignment
How code ships today, where it breaks, and the targets the new path must meet.
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Team assembly and architecture planning
DevOps engineers with developers and QA who know your stack, and a target design for pipelines and environments.
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Agile execution with outcome-based milestones
One service moves to the new path first; the rest follow once it works.
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Modular and productized components
Proven pipeline and environment templates are reused.
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Training, rollout and optimization
Your developers learn the new path by using it on real releases.
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Ongoing support and co-building
Our team supports you Monday to Saturday, with Sunday off.
Teams range from 3 to 30 people, and work typically starts within one to two weeks after discovery. The team works remote-first from Hanoi in English, in the same repositories and chat channels as your developers. Governance includes weekly reviews, KPI dashboards and a dedicated account manager and project manager, with Slack, Zoom and client dashboards. Security is shifted left into the pipeline as DevSecOps: secure code review and version control, vulnerability scanning, role-based access control, MFA for admin dashboards, TLS in transit and AES at rest, and disaster recovery planning.
AI in the delivery pipeline
AI assistance fits several points of a pipeline. Each suggestion is a draft for an engineer, not an automatic action; merges and production changes keep a human approval.
AI we add to your delivery path:
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Test suggestions for changed code
Draft unit and integration tests where coverage is thin.
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Pull request review
Common mistakes, risky configuration and leaked secrets flagged before a reviewer looks.
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Failed build summaries
The likely cause of a red pipeline explained in plain language.
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Alert grouping and incident notes
Noisy alerts merged into one incident with a draft timeline for the post-incident review.
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Pipelines for your AI features
Model versions, prompts and evaluations released through the same gated path as code, with responsible AI and MLOps practices for larger models.
How we use it on our own engagements: AI drafts runbooks and pipeline templates from your current scripts, and engineers review and test them before adoption.
AI in this service
Where AI already runs in delivered work, and where it is offered as a growth capability.
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In delivered work
Recommendation engine
Delivered for 4over4's online printing store, not in a DevOps engagement.
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Available capability
AI-assisted pipelines and release paths for AI features
Machine learning and generative AI that Netbase offers; not yet tied to a published DevOps case.
Engagement models and commercial variables
Most Netbase projects are delivered on fixed-price contracts agreed after discovery, and a DevOps set-up usually runs as project-based work with milestones. Milestone-based, monthly team retainer and KPI-linked terms are also offered. After handover, on-demand support or fully managed delivery keeps the platform current; a dedicated team is a secondary option for continuous platform work across many services. We do not publish rate cards.
What moves effort and cost: the number of services and environments, release frequency, test coverage today, compliance obligations and how many teams must adopt the new path.
Technology as an implementation choice
Netbase uses AWS, Google Cloud, DigitalOcean and Cloudflare; no cloud partner tier or cloud certification is claimed. Pipeline, container, infrastructure-as-code and monitoring tools are chosen for your team and listed on our cloud and DevOps stack page. New subscription products can start on the delivery path built into our SaaS product accelerator.
Technologies we build with
Industry applications
Printing and packaging. Web-to-print platforms release design tools, pricing rules and rendering changes together, and a bad release stops orders. Staged releases and fast rollback matter more than raw speed.
SaaS products. Every release reaches every tenant at once. Pipelines, feature flags and tenant-aware monitoring keep one change from becoming everyone's outage.
Printing and packaging: online ordering, AI artwork checks and production handoff
Netbase helps print and packaging businesses move ordering, artwork approval and production handoff online, with AI where files go wrong, so customers configure, design, proof and pay in one flow and the press floor receives clean jobs. Six published print-commerce case studies and 50+ custom web-to-print platforms, across apparel, packaging, signage, promotional merchandise and B2B portals, back this page.
Learn More
Proof: platforms Netbase releases and runs
Evidence maturity: DevOps and platform engineering is a growth capability. The records below are Netbase Business Division platforms whose delivery path Netbase operates; no client DevOps engagement is published yet.
Printcart (Netbase Business Division). The web-to-print and print-on-demand platform Netbase builds and runs, delivered on merchants' own stores and as Shopify, Wix and WooCommerce apps, serving 10,000+ partners over 10 years of service. See the Printcart record.
Cloodo (Netbase Business Division). An AI-powered digital workplace for company profiles, services, projects and team collaboration, connecting internal staff and outsourced specialists in one hybrid workspace, live at cloodo.com. See the Cloodo record.
More projects are in our work.
Buyer FAQ
It depends on the number of services, environments and teams. The assessment ends with a plan and dates.
Yes. We keep what works and replace only what blocks safe releases.
You do. For custom work, the IP created for you is yours, and it lives in your repositories.
A little: smaller changes, reviewed and merged more often. We train the team on real releases.
No. AI proposes tests, reviews and fixes; merges and production changes keep a human approval in the pipeline.
If you want us to. Otherwise we hand over runbooks and templates to your team.
Support runs Monday to Saturday, with Sunday off. SLAs are agreed on request.
Related solutions
SaaS product accelerator: launch an AI-ready SaaS on proven Netbase modules
A SaaS product accelerator is a set of reusable Netbase modules for accounts, billing, roles and integrations that helps founders and product teams launch subscription software faster, with room for in-product AI from the first release. Reusing these productized modules can cut development time by up to 60%, and the approach is proven on Printcart, the web-to-print SaaS Netbase built and operates.
Learn More
Service owner and next step
This service is owned by David, Netbase's Chairman, founder and CEO, and maintained by the Netbase Editorial Team. Want releases to be the boring part of the week? Book a solution review, or view relevant work first.
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