Move your system from
“shipped” to “reliably operated”
Conclusion: choose managed operations when a live system has no dedicated operations team; retain self-operations when an internal SRE or IT team can own it. Either way, define monitoring, restore tests, rollback, incident severity, SLA measurement, and exit handover before launch.
Choose the operating model before the service tier
| Operating model | Best fit | Client must own | Primary trade-off |
|---|---|---|---|
| Ad-hoc fixes | Non-production demo or disposable validation | Manual checks and incident coordination | Lowest fixed cost, no continuous protection |
| Customer self-operations | Dedicated IT / SRE team and customer-owned cloud | On-call, monitoring, backups, security, releases, and incident review | Maximum control, highest staffing responsibility |
| Wavesteam managed operations | Live business system without a complete operations team | Business decisions, account ownership, and timely approvals | Clear service fee; scope and SLA must be contracted |
Core Capabilities
Five jobs that keep a system stable
Once a system goes live, it does not stay stable on its own. Traffic shifts, cloud resources fail, dependencies break, and new vulnerabilities appear. DevOps is the engineering discipline that watches for all of this.
Visibility
Know what the system is actually doing through logs, dashboards and reports.
Alerting
Surface anomalies, resource pressure or downtime to the right people, in time.
Fast Recovery
Diagnose, restore service and run post-mortems quickly when something breaks.
Defense in Depth
Security hardening, backup, disaster recovery and least-privilege access in advance.
Stable Releases
Ship features through CI/CD with automated build, test and deploy — fewer manual mistakes.
SLA · RELIABILITY TIER
Each extra nine sharply reduces the interruption budget
Using a 30.44-day average month, the interruption budget falls from about 7h 18m at 99% to about 4m 23s at 99.99%. Higher targets require more redundancy, automation, testing, and dependency control.
Service Scope
Eight DevOps work streams
Daily inspections & maintenance
Routine checks across systems, cloud resources, databases and pages, with monthly and annual ops reports.
- Server CPU / memory / disk / network / load checks
- Database, Redis, object storage and CDN health
- System, error, access and release log review
- Page, core flow, API and scheduled-task verification
Log management
Consolidate access, API, error stacks, DB anomalies, jobs, logins and releases in one place.
- Answer: code issue, DB issue or third-party issue?
- Answer: did the latest release introduce new errors?
- Answer: why did this specific user action fail?
Monitoring & alerting
Notify via WeCom, Lark, email, SMS or phone; critical incidents trigger the emergency response flow.
- Server resources, app health and database state
- Business KPIs: orders, logins, job success rate, device online rate
- SSL certificates, DNS and third-party dependencies
Backup & disaster recovery
Define backup frequency, recovery time, acceptable data loss and how recovery is actually verified — not just “looks backed up.”
- Scheduled DB backups, retention and recovery testing
- Backups for files, attachments and object storage
- Off-site backup or multi-AZ deployment for critical systems
- Recovery runbook: order, owners and validation criteria
Security operations
Reduce the probability of intrusion, ransomware, data theft and abuse — security is never “done.”
- Vulnerability scanning and CVE-based dependency review
- Hardening of accounts, ports, permissions, firewall and security groups
- Malware checks, anomalous process and login monitoring
- VPC isolation, DB privilege tiering and storage encryption
CI/CD automation
Standardize and automate the path from code to production, with auditable steps every time.
- Automatic build, packaging and deploy on commit
- Test, staging and production environment pipelines
- Zero-downtime upgrades and version rollback support
Incident response & post-mortems
Major: core-business outage or payment/orders down. Minor: partial functionality or performance degradation.
- Intake → assess impact and scope
- Inspect monitoring, logs, release records and cloud resources
- Identify root cause → restore service → issue post-mortem
Performance & capacity
Find bottlenecks before throwing hardware at the problem.
- Slow API and slow SQL analysis, indexes and query tuning
- Cache strategy, CDN and static asset loading optimization
- Capacity planning for traffic spikes, cloud sizing and cost
CI/CD · RELEASE PIPELINE
Code to production in five standardised steps
Manual uploads, restarts and check-lists are error-prone. Pipelines turn every release into a recorded, traceable and reversible engineering operation.
- 01CommitGit push · webhook trigger
- 02BuildAuto build · image artifact
- 03TestUnit · integration · regression
- 04DeployBlue-green / rolling · zero downtime
- 05VerifyHealth check · canary ramp
INCIDENT · RESPONSE TIER
Tiered response keeps impact minimal
Severity, coverage hours, and first-response targets must be agreed together; an availability percentage alone is not a response or recovery commitment.
P0 · Critical
7×24hContract option: first response ≤ 15 min
Site down / core business halted / payments or orders unavailable
P1 · Major
Business hoursContract option: first response ≤ 2h
Partial feature outage / performance degradation / intermittent API errors
P2 · Normal
ScheduledNext business day
Config changes / usage questions / non-urgent optimisation
Standard Process
Seven-stage loop with clear entry, record, result and review
01 Intake
Single channel for client requests, change orders, inspection findings and alerts.
02 Triage
Assess urgency, blast radius and business risk.
03 Planning
Define the approach, owner, time window and risk-control measures.
04 Execution
Run diagnostics, fixes, releases, config changes or scaling per plan.
05 Acceptance
Verify recovery or change result and confirm the client can resume operation.
06 Documentation
Update runbooks, technical docs and ops reports.
07 Retrospective
Issue prevention plans for recurring problems and major incidents.
Deliverables
Operations you can see and trace
Good DevOps is not just back-office work — it should be visible, aligned and auditable for the client.
Ops reports
Inspection records and monthly or annual ops reports.
Incident records
Incident handling logs and post-mortem reports.
Monitoring config
Documented monitoring and alerting setup.
Cloud advice
Cloud resource usage and optimization recommendations.
Backup records
Backup strategy and recovery verification records.
Release records
Release history and version change notes.
Security advisory
Hardening suggestions and risk disclosure.
Event coverage
Campaign coverage plans and product training.
Why Wavesteam
Why teams choose us for DevOps
Business-aware operations
We have run DevOps for AI products, apps, mini programs, internal systems, IoT platforms, energy systems and smart-park projects — we watch business signals, not just servers.
Dev + Ops in one team
Product, frontend, backend, mobile, algorithms, QA and PM work together, so incidents are debugged across the full stack.
Engineering discipline
Logs, monitoring, alerts, automated releases, backup, documentation and post-mortems reduce reliance on individual heroics.
Long-term partner
We continuously suggest iterations, performance work and architecture upgrades based on system state, user growth, cloud cost and business shifts.
Evidence and service boundary
- AWS Well-Architected Reliability Pillar: availability definitions, measurement, dependencies, and target trade-offs.
- Google SRE Workbook: Error Budget Policy: translating an SLO into release and reliability decisions.
- Wavesteam prices, response options, and service tiers are first-party terms, not industry standards. The signed contract and SLA schedule control.
Looking for long-term DevOps for your live system?
Contact us