01
The operating models compared
| Model | Primary focus | Typical output |
|---|---|---|
| DevOps | Improve delivery flow and shared ownership between engineering and operations. | Automated delivery, faster feedback, repeatable infrastructure and clearer operational ownership. |
| DevSecOps | Make security part of the same delivery lifecycle. | Threat modelling, security checks, vulnerability workflow, release evidence and risk-based enforcement. |
| Platform Engineering | Provide reusable internal products and paved paths for engineering teams. | Self-service environments, reusable CI/CD patterns, infrastructure modules, platform APIs and developer experience. |
| SRE | Engineer service reliability using measurable objectives and operational feedback. | SLIs/SLOs, error budgets, observability, incident learning, capacity and reliability automation. |
02
DevOps is the delivery and ownership foundation
DevOps is not a single team or toolchain. It is an operating approach that reduces handoffs between software delivery and operations by using automation, shared responsibility and fast feedback. A team can practise DevOps without building a formal internal platform or adopting an SRE model.
03
DevSecOps adds security responsibilities and evidence
DevSecOps extends the delivery model so security work happens throughout design, source control, CI/CD, infrastructure delivery, release and production feedback. The useful outcome is not more scanners; it is earlier signal, explicit ownership and proportionate release policy.
A Secure SDLC can supply the governance layer around this model by defining required tests, security gates, supply-chain evidence, exceptions and release criteria.
04
Platform engineering productises common delivery capabilities
Platform engineering becomes useful when many teams repeatedly solve the same environment, pipeline, infrastructure, observability, security or deployment problems. The platform team turns those patterns into supported internal products and paved paths rather than centralising every change request.
A platform should reduce cognitive load without hiding ownership. Product teams still own their applications and business risk; the platform team owns the reusable capabilities and their reliability.
05
SRE focuses on measurable service reliability
Site reliability engineering applies software-engineering methods to operations and reliability. It is most useful where service availability, latency, capacity, incident response and operational toil need explicit engineering attention.
SRE practices such as service-level indicators, service-level objectives and error budgets help teams make trade-offs between reliability and change velocity using measurable service behaviour rather than intuition alone.
06
How the models fit together
- Use DevOps principles to improve end-to-end ownership and flow.
- Use DevSecOps when security must be integrated into that delivery system and produce governed evidence.
- Use platform engineering when shared delivery capabilities should become reusable internal products for multiple teams.
- Use SRE where reliability objectives, incident learning and operational toil need dedicated engineering methods.
- Combine them deliberately: for example, a platform team can provide Secure SDLC-enabled paved paths while SRE practices define reliability expectations for the platform and the services using it.
07
Choose based on the bottleneck, not the label
- Manual, inconsistent releases: start with DevOps delivery automation and ownership.
- Late or noisy security findings: strengthen DevSecOps and Secure SDLC governance.
- Many teams rebuilding the same pipelines and infrastructure: consider platform engineering.
- Frequent incidents, weak service objectives or high operational toil: strengthen SRE practices.
- All of the above: define the responsibilities separately and build an operating model that combines them instead of renaming one team to cover every concern.
From insight to action
Discuss the practical next step
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