Knowledge BaseGuideDelivery & TimelineUpdated August 25, 2026

WAVESTEAM · DEVOPS · KB_01|/ KNOWLEDGE_01

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.

Talk to ops See 8 service modules

99.99%

SLA availability · top tier

7×24

Critical-incident on-call

Service modules

Service tiers

SYSTEM STATUS · DEMO

Illustrative dashboard

Example availability

99.97%

Example P95 latency

187 ms

Web service

Healthy92 ms

MySQL primary

Healthy11 ms

Redis cache

Healthy3 ms

Object storage

Healthy48 ms

Payment webhook

Healthy210 ms

Demo data · not a production status pageREF · KB_01

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.

StandardSLA 99%

1× baseline

~ 7h 18m interruption budget / avg month

ProfessionalSLA 99.5%

2×

~ 3h 39m interruption budget / avg month

FlagshipSLA 99.9%

10×

~ 43m 50s interruption budget / avg month

CustomSLA 99.99%

100×

~ 4m 23s interruption budget / avg month

Interruption-budget reduction · vs 99%* For scale only. Measurement points, exclusions, credits, and liability are governed by the SLA schedule.

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.

Alerts on failure · one-click rollback to the previous version

01
Commit
Git push · webhook trigger
02
Build
Auto build · image artifact
03
Test
Unit · integration · regression
04
Deploy
Blue-green / rolling · zero downtime
05
Verify
Health 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

7×24h

Contract option: first response ≤ 15 min

Site down / core business halted / payments or orders unavailable

P1 · Major

Business hours

Contract option: first response ≤ 2h

Partial feature outage / performance degradation / intermittent API errors

P2 · Normal

Scheduled

Next 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?

Continue exploring

Move your system from
“shipped” to “reliably operated”

99.99%

SLA availability · top tier

7×24

Critical-incident on-call

Service modules

Service tiers

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

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

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.

Move your system from“shipped” to “reliably operated”

Choose the operating model before the service tier