CI/CD and releases
Pipeline design, build automation, quality gates, reproducible deployments and version governance.
Cloud DevOps
Industrialize delivery and improve platform reliability.
Wetechit helps IT teams build robust DevOps chains that fit production constraints and delivery goals.
Scope
From DevOps strategy to operations.
Engagements cover DevOps standards, software factories, CI/CD pipelines, application packaging, release management and team enablement.
The technical scope can include Jenkins, Git, Nexus, Docker, Ansible, Rundeck, Sonar, Checkmarx, Selenium, ELK, Grafana, InfluxDB, Nagios, AWS and Microsoft Azure.
Cloud platforms
Azure/AWS environments, containers, automation scripts and Infrastructure as Code practices.
Production and operations
Monitoring, logs, metrics, alerting, MCO and production readiness.
DevOps · SRE · Platform engineering
Standardize practices to move faster without losing control.
Wetechit helps define shared standards that make delivery teams more autonomous while preserving a controlled operating model: pipeline templates, Git conventions, branching strategies, IaC templates, security policies, observability and release processes.
The goal is to build reusable golden paths for project teams, backed by an internal platform that is clear, documented and aligned with reliability, security, compliance and time-to-market expectations.
Delivery standards
CI/CD reference models, quality gates, packaging rules, versioning, environment promotion and production readiness criteria.
SRE practices
SLI/SLO definition, error budgets, actionable alerting, post-mortems, runbooks and reliability-focused continuous improvement rituals.
Internal platform
Shared services, reusable templates, self-service capabilities, documentation, onboarding and guardrails for application teams.
Target model
A platform as a product, governed through measurable standards.
01
Standards
CI/CD, IaC, security, branching and quality templates
02
Platform
Golden paths, self-service and shared services
03
Product teams
Fast onboarding, autonomy and guardrails
04
Reliability
SLI/SLO, runbooks, post-mortems and continuous improvement
Operating modelgovernance · measurement · improvement
80%industrialized paths
4htarget onboarding
99.9%reference SLO
24/7actionable alerting
AI applied to DevOps
Accelerate delivery with AI without weakening governance.
Augmented delivery
Support for code, scripts, tests, technical documentation, merge request reviews and repetitive engineering tasks.
Quality and security
Vulnerability analysis, anomaly detection, remediation prioritization, test coverage support and control result summaries.
Ops and SRE
Correlation across logs, metrics and traces, incident diagnosis support, runbook generation and MTTR reduction practices.
Governance
AI usage guardrails covering confidentiality, human validation, traceability, prompt control and real value measurement.
Delivery productivity+30%
Diagnosis time-35%
Documentation debt-25%
Control quality+20%
Indicative figures: gains depend on context, automation maturity, data quality and the AI governance framework.
DevOps impact
What DevOps changes in the delivery lifecycle.
Delivery lifecycle
A DevOps pipeline reduces handover gaps between development, testing, security, release and operations.
CodeBuildTestsSecurityReleaseRun
Cycle time
Example trajectory observed on an industrialized application delivery flow.
Application quality
Measurable quality targets when controls are embedded into the pipeline.
Auto tests
75%
75%
Coverage
65%
65%
Security gates
100%
100%
P1/P2 incidents
-40%
-40%