Delivery Plan · Core
Now $4,500£3,750R79,000/ monthWas $8,000£6,700R140,000
Expert project manager
Unlimited backlog
100% your code and IP
Cancel anytime
Start your Delivery Plan
Onboarding starts at checkout · Billed monthly, excl. VAT
DevOps on a Monthly Delivery Plan
Ship faster with fewer failed releases: CI/CD pipelines, infrastructure as code and observability for cloud, on-premise and hybrid systems. Through the Software Factory Delivery Plan, you get one team, one predictable monthly price and one prioritised backlog. Add mobile, web, backend, AI, data or QA work to the same backlog whenever you need it.
Delivering since 201248 hours to first codeManaged live on Scrums.com
Use your plan for DevOps engineering.
14DAYSFirst deliverable in 14 days or your first month is free.
ThousandsOf companies since 2012
Trusted by engineering leaders at ambitious startups, enterprises and global brands.
Read client stories →
How your Software Factory Delivery Plan works
How the DevOps engineering process works
- 01Queue your DevOps workPick DevOps scopes or describe your own.
- 02SubscribeCheck out and onboarding starts immediately.
- 03First code in production in 48 hoursAccess to your repos, cloud accounts and CI.
- 04Ship, observe, repeatTrack every deployment on the Scrums.com Platform.
Scrums.com Platform
Track every pipeline, deployment and SLO on the Scrums.com Platform
Goals break down into tasks. Milestones are agreed before work begins. You track every pipeline, environment and release from commit to production, and the next task starts the moment one ships.
Requirement9
Terraform modules for the staging environment
DevOps5 pts
Canary releases with automated rollback
DevOps5 pts
Security scan gate in the pipeline
QA3 pts
Alert rules and on-call rotation
DevOps3 pts
Delivering1
Kubernetes autoscaling for the APIDevOps
- Change written as code
- Pipeline runs green
- Code review approved
- Live in production
DevOps · SREPR #1820
Gate
Live38
CI/CD pipeline for the payments service
DevOps · just nowSecrets moved to a managed vault
DevOps · 4d agoHealth checks for the orders API
Backend · 6d agoDORA metrics dashboard
DevOps · 8d agoIllustrative demo with sample data. On the Scrums.com Platform, the board shows your own goals, tasks and releases.
Scope and capacity
What one workstream delivers, for DevOps or any software
Your backlog can hold any number of requests, but the team delivers them one workstream at a time. A workstream is one managed team working on your highest-priority request until it is live, then starting the next. More requests mean more months, not faster delivery. Work is scoped and delivered within your plan’s capacity. Priorities can change; additional parallel workstreams require more capacity. The same plan covers mobile, web, backend, AI, data and QA work, so all of it can share one backlog.
- Active at once
- One request
- Basic CI/CD
- 2 to 4 weeks
- Comprehensive DevOps
- 2 to 3 months
- Infrastructure code owned by
- You
Example: DevOps on one workstream
Illustrative- Month 1DevOps assessment against DORA targets, then the foundation: the CI/CD platform, infrastructure-as-code, monitoring and secret management, and the first pipelines for priority applications.
- Month 2Automation rolls out: CI/CD across services, infrastructure-as-code for every environment, testing and security scanning in the pipeline, auto-scaling and alerting.
- Month 3SRE practices: SLOs and error budgets, capacity planning and cost optimisation, toil automated, and incident postmortems that prevent recurrence.
A sample DevOps programme. It matches the 2 to 4 weeks basic CI/CD typically takes, and the 2 to 3 months comprehensive DevOps takes. Onboarding starts immediately after checkout, and your delivery owner scopes your own plan with you.
What affects the number of months
- Starting maturityTeams with manual deployments need pipelines first; existing automation can be extended.
- Number of servicesEach application, microservice and environment adds pipeline and infrastructure work.
- Infrastructure footprintCloud, on-premise, hybrid or multi-cloud estates each add architecture and networking work.
- Existing toolingCurrent tools are kept where they work; migrations add work where a tool limits capability.
- ComplianceAudit trails, policy-as-code and security scanning for regulated industries add work.
- Review and approvalsHow quickly your team agrees acceptance criteria and approves changes to production.
Capabilities
DevOps engineering services: pipelines, infrastructure, Kubernetes, cloud, observability and SRE.
CI/CD pipeline engineering and automation
Jenkins · GitLab CI · GitHub Actions · Azure PipelinesAutomated CI/CD pipelines that test code, scan for security vulnerabilities, build containers, deploy to multiple environments and roll back on failure. Deployment time drops from hours to minutes, with reliability from consistent, repeatable processes.
When it fitsManual deployments cause frequent failures, and releases wait for conservative release windows.
Trade-offsPipelines are built on your existing tools where they work. A new tool is recommended only where the current one limits capability.
How the plan covers it
Queue this scope →Pipelines on Jenkins, GitLab CI, GitHub Actions, Azure Pipelines or CircleCI
Automated tests, security scans and container builds on every change
Multi-environment deployment with rollback on failure
Progressive delivery: blue-green and canary releases
Infrastructure-as-code and configuration management
Terraform · CloudFormation · Pulumi · AnsibleInfrastructure versioned, tested and deployed like application code. Manual configuration eliminated, drift prevented, environments reproducible, provisioning cut from days to minutes across development, staging and production.
When it fitsInfrastructure provisioning takes days or weeks, and environments drift apart.
Trade-offsExisting infrastructure must be codified first. That work comes before provisioning gets faster.
How the plan covers it
Queue this scope →Version-controlled, peer-reviewed infrastructure changes
Drift prevention and environment reproducibility
Provisioning from days to minutes
Auditable infrastructure across every environment
Container orchestration and Kubernetes
Docker · EKS · AKS · GKEContainerised applications designed, deployed and managed on Docker and Kubernetes: container architectures, orchestration platforms, auto-scaling, service mesh patterns and resource optimisation for cloud-native microservices.
When it fitsKubernetes adoption is stalled, or your services need auto-scaling that matches demand.
Trade-offsA production cluster needs a team that can operate it. Documentation, runbooks and knowledge transfer are part of the scope.
How the plan covers it
Queue this scope →Container architecture and production Kubernetes platforms
Auto-scaling and resource utilisation tuned to demand
Service mesh patterns for microservices
Simplified operations your team can run
Cloud infrastructure and multi-cloud architecture
AWS · Azure · GCP · hybridCloud infrastructure designed, deployed and operated across AWS, Azure, GCP or hybrid environments: high availability, disaster recovery, cost optimisation, networking, security and governance on cloud-native services.
When it fitsCloud costs are escalating without visibility, or you need high availability and tested disaster recovery.
Trade-offsCloud is not required for DevOps. The same practices apply to on-premise and hybrid infrastructure.
How the plan covers it
Queue this scope →High-availability architecture and disaster recovery
Cloud cost optimisation and governance
Networking and security configured as code
Cloud-native services: Lambda, ECS, CloudFront, S3 and more
Monitoring, observability and incident response
Prometheus · Grafana · DataDog · CloudWatchMetrics, logs and distributed tracing established, alerting rules and dashboards created, on-call rotations and incident response workflows built. Visibility into system health, proactive detection, and mean time to recovery cut by 70%.
When it fitsProduction incidents consume engineering time, and the team firefights instead of building features.
Trade-offsOn-call can be a dedicated team, a shared rotation or a handover to your team. Most clients start with dedicated coverage during implementation.
How the plan covers it
Queue this scope →Metrics, logs and traces in one view
Alerting rules and dashboards that page the right people
On-call rotations and incident workflows
Runbooks and postmortems that prevent recurrence
Site reliability engineering practices
SLO · SLI · error budgets · chaos engineeringSRE methodology adopted: SLO/SLI/error-budget frameworks, chaos engineering, capacity planning and toil reduction. Reliability targets set, operational tasks automated, progressive deployment strategies in place, 99.9%+ uptime at a rapid release cadence.
When it fitsYou need 24/7 reliability without slowing your release cadence.
Trade-offsSLOs need real telemetry first. Where monitoring is missing, observability work comes before the SLOs.
How the plan covers it
Queue this scope →SLOs, SLIs and error budgets wired to real telemetry
Chaos engineering and failure-mode analysis
Capacity planning and toil reduction
Velocity balanced with stability
What's included in DevOps engineering
Pipelines, infrastructure, observability and reliability. Managed together.
Every Delivery Plan · Core comes with the full DevOps team and the tooling around it: assessment, pipeline and infrastructure engineering, AI operations agents and SRE practices, run by one delivery owner. DevOps consulting and platform engineering services use the same backlog.
Delivery managementOne accountable delivery owner.Milestones agreed before work begins.
01DevOps assessment and strategyCI/CD maturity, infrastructure and cloud costs reviewed, and a phased roadmap set against DORA targets
02CI/CD pipelinesJenkins, GitLab CI, GitHub Actions, Azure Pipelines and CircleCI, with security scanning and quality gates
03Infrastructure-as-codeTerraform, CloudFormation, Pulumi and Ansible, with secrets in Vault or AWS Secrets Manager
04Containers and KubernetesDocker and Kubernetes on EKS, AKS, GKE or self-managed clusters
05Cloud infrastructureAWS, Azure and GCP, with high availability, disaster recovery and cost optimisation
06ObservabilityPrometheus, Grafana, DataDog, New Relic and CloudWatch for metrics, logs and tracing
07Incident responseAlerting, on-call rotations, runbooks and postmortems
08SRE practicesSLOs, error budgets, chaos engineering, capacity planning and toil reduction
10Pipeline and infrastructure ownershipAll pipelines, infrastructure code and runbooks are yours from day one.
100%A green pipeline is not the finish line.
Continuous optimisationAutomation improved and the platform scaled as your services grow.
Cost reviewsRight-sizing, auto-scaling and cleanup of unused resources kept current.
DORA dashboardsDeployment frequency, lead time, MTTR and change failure rate tracked against baselines.
Quarterly reviewsPlatform reviews and roadmap updates every quarter, with knowledge transfer to your team.
Runs on the Scrums.com platform
Every Delivery Plan runs on the Enterprise AI Platform for software engineering.
Your team, its AI agents and your delivery data sit on one governed platform. That is what powers your delivery board, the operations and code-review agents, and the talent bench behind your plan.
Your planDelivery Plan · CoreDevOps, web, mobile, backend, AI, data and QA scopes on one backlogSee pricing →TalentAI engineers and teamsCertified engineers, CTOs and dedicated teamsHire engineers →AI Catalog163 agents · 101 MCPs · 30 modelsDeployable AI for engineering orgsBrowse the catalog →PlatformEnterprise AI PlatformAgent harness, AI and MCP gateways, governanceExplore the platform →
What your DevOps team draws on, already part of your planBrowse the full AI catalog →
Engineering talent
DevOps engineers and teams
DevOps specialists, SREs and cloud architects from the Scrums.com bench, matched to your infrastructure and domain.
AI Catalog
Agents, MCPs and models for DevOps
The operations, code-review and release agents that run alongside your team, plus the MCP servers they use.
AI infrastructure
Infrastructure for your environments and AI operations
Cloud, container and observability infrastructure, deployable from the catalog with your $500 first-month credits.
Compare
One DevOps hire covers one role. The plan covers the whole team.
DevOps needs pipelines, infrastructure, cloud, observability and SRE work. Hiring covers them one role at a time. The Delivery Plan covers them in one monthly price.
Compare
RecommendedScrums.com Delivery Plan · Core
In-house DevOps engineer
Traditional DevOps agency
Roles covered
Pipelines, infrastructure, Kubernetes, cloud, observability, SRE
One role per hire
Depends on the agency bench
Time to start
48 hours to first code in production
A hiring cycle first
Proposal and contract cycle first
How you pay
Salary, benefits and recruiting fees
Project quotes and change requests
Who runs delivery
One accountable delivery owner
You manage the work
The agency project manager
Visibility
Every deployment, DORA metric and incident trend on the Scrums.com Platform
Your own tooling
Status reports by email
40-60%†lower cost than US and UK DevOps agencies
Start for Basis: the figure that the current Scrums.com DevOps engineering page states against US and UK DevOps agencies. It is not a quote for your scope.
What you get
Why companies choose DevOps as a service from a managed team
01
Everything as code
Infrastructure, configuration, policies and monitoring are version-controlled, peer-reviewed and rolled back on any failure.
02
One monthly price
One plan price for pipelines, infrastructure and reliability work. Your scope sets the number of months.
03
Faster from day one
Pre-built CI/CD patterns, IaC modules and monitoring templates make implementation 3-5x faster than building from scratch.
04
Human plus AI
Agents correlate alerts, analyse logs, monitor capacity and fix common issues. Engineers keep architecture and platform work.
05
Multi-cloud experience
AWS, Azure and GCP experience keeps architecture decisions informed and vendor lock-in out.
06
Built for regulated industries
Compliance automation: audit trails, policy-as-code and security scanning in the pipeline.
Customers
DevOps engineering case studies
Teams are matched to your domain, built for payments, FinTech and enterprise platforms, across your cloud, pipelines and observability stack.
Featured DevOps case study
Network International: a reliability roadmap for four payment platforms
- Challenge
- A payments group ran four platforms with recurring production incidents, high change failure rates, extended MTTR and fragmented observability.
- Platforms and technologies
- PayFast, PayGate, SID and DPO payment platforms in South Africa and Kenya, benchmarked on SEOP against DORA and SPACE indicators.
- Work delivered
- An Engineering and DevOps Health Check: architecture, CI/CD, QA and observability reviews, 12 to 24 months of incidents analysed, and on-site deep-dives in three cities.
- Result
- One view across four platforms, root causes identified, maturity benchmarks per platform and a phased path toward 99.99% uptime.
Scopes
DevOps scopes you can queue
One Delivery Plan · Core covers your development priorities across services. Start with DevOps, then queue mobile, web, backend, AI, data or QA scopes on the same backlog, or describe your own.
OPSDevOps & reliability38 scopesMMobile appsExplore ↗WWeb appsExplore ↗AIAI developmentExplore ↗APIBackend & APIsExplore ↗DEData engineeringExplore ↗QAQA & testingExplore ↗→All scopesCatalog
SprintSC-01
API Developer Portal
Design and launch a portal for API discovery, credentials, documentation, usage visibility, support, and onboarding.
SprintSC-02
API Gateway & Rate Limiting Setup
Centralize API routing, authentication, throttling, observability, and policy enforcement behind one gateway. Finish state: every API fronted by a governed gateway with limits enforced.
SprintSC-03
AWS Landing Zone Setup
Create a secure, governed multi-account AWS foundation with identity, networking, logging, and baseline controls, delivered as code.
SprintSC-04
Azure Landing Zone Setup
Create a secure, governed Azure foundation with management groups, subscriptions, identity, networking, policy, and logging, delivered as code.
SprintSC-05
CI/CD Pipeline Implementation
Automate build, test, release promotion, approvals, rollback, and deployment for a defined application or repository.
SprintSC-06
Cloud Backup & Disaster Recovery Setup
Implement backups, recovery objectives, replication, and restore procedures for a defined workload, and prove them with a tested recovery.
SprintSC-07
Cloud Cost Optimization Sprint
Find and implement high-confidence savings across compute, storage, data transfer, managed services, and idle resources, with guardrails that keep them.
SprintSC-08
Cloud Network Architecture Upgrade
Redesign VPC/VNet structure, routing, private connectivity, ingress/egress, and segmentation for a defined cloud environment, with a staged cutover.
SprintSC-09
Cloud Security Assessment
Assess a cloud environment for risky configurations, exposed assets, identity weaknesses, and control gaps — ranked by exploitability.
SprintSC-10
Compliance Hardening Sprint
A fixed-scope hardening of your delivery pipeline and codebase against SOC 2, ISO 27001, HIPAA, or PCI DSS requirements — security testing in CI/CD, access controls, audit logging, and audit-ready evidence.
SprintSC-11
Database Reliability Hardening
Improve database backups, failover, connection handling, capacity, and observability so the data tier stops being the fragile part of the stack.
SprintSC-12
Developer Documentation Portal
Build or modernize a searchable docs experience for APIs, SDKs, guides, examples, and release information.
The plan in full
DevOps engineering services pricing
Core costs Was $8,000£6,700R140,000 now $4,500£3,750R79,000/month for one active workstream. Your infrastructure’s scope determines the delivery schedule and total cost. You can use the same subscription for other development priorities.
Best for companies whose manual deployments fail, whose production incidents consume engineering time, or whose infrastructure takes days to provision.
Delivery Plan · Core
One plan for your software backlog.
Now $4,500£3,750R79,000/ monthWas $8,000£6,700R140,000
One active workstream. Managed delivery.
Start your Delivery Plan →
Billed monthly · excl. VAT/sales tax · onboarding starts immediately after checkout
Included every month
Delivery owner. One accountable owner runs your DevOps engineers, SREs and cloud architects.
One backlog across your development priorities. You set the order; requests are scoped and delivered one workstream at a time.
Visibility. Milestones agreed up front. Deployments, DORA metrics and incidents live on the Scrums.com Platform.
Ownership. Pipelines, infrastructure code, runbooks and data are yours from day one, with handover included.
Work is scoped and delivered within your plan’s capacity. Priorities can change; additional parallel workstreams require more capacity.
First-month benefits
14DAYS
First-delivery guaranteeYour first agreed deliverable ships within 14 days of scope and access being confirmed, or your first month is free.
$500 in AI infrastructure catalog creditsMONTH 1
Annual-plan benefits$10,000 in specialist services
Technical Assessment & Delivery RoadmapWe review your systems, rank your priorities and agree the first deliverable.
CI/CD & Quality Pipeline SetupYour pipelines, environments and quality checks, set up and handed over to you.
You buy monthly delivery capacity, not a fixed project price. Infrastructure usage and third-party services are billed separately. Full Delivery Plan coverage and terms →
Need more parallel workstreams? Talk to us →
Day 0Scope and access confirmedOnboarding starts at checkout. You confirm scope and share repos, cloud accounts and CI.
Within 48 hoursFirst code in productionFirst change merged and deployed through your pipeline.
Within 14 daysFirst agreed deliverable shipsFor example automated build and test stages for one priority repository.
If it does not shipYour first month is freeYou do not pay for month one.
The first deliverable is agreed in writing before the clock starts. The clock starts when scope and access are confirmed. Applies to the first deliverable on a new plan.Read the full Delivery Plan terms →
FAQ
DevOps engineering questions, answered
Still deciding? Talk to sales and get a scoped answer for your infrastructure.
Delivery Plan · Core costs Was $8,000£6,700R140,000 now $4,500£3,750R79,000 a month, excluding VAT or sales tax. That buys one active workstream with a managed DevOps team. It is monthly delivery capacity, not a fixed price for a complete DevOps programme, so your scope sets the number of months.
Yes. Delivery Plan · Core covers mobile, web, backend, AI, data and QA work as well as DevOps engineering. All of it sits in one prioritised backlog and is delivered within your plan’s capacity, one active workstream at a time. Priorities can change; additional parallel workstreams require more capacity.
DevOps assessment and strategy, CI/CD pipelines, infrastructure-as-code, containers and Kubernetes, cloud infrastructure, observability, incident response, SRE practices, and one accountable delivery owner. Every plan includes $500 in AI infrastructure catalog credits in your first month. Annual plans also include $10,000 in specialist services: a technical assessment, a delivery roadmap and CI/CD pipeline setup.
You rank the backlog. Your delivery owner scopes the top request, agrees acceptance criteria with you, and the team delivers it. You can reorder anything that has not started. One request is active at a time on Core; additional parallel workstreams require more capacity.
The clock starts when you confirm scope and give access to your repositories, cloud accounts and CI. Within 48 hours the team has its first code in production in your environment. Within 14 days your first agreed deliverable ships, for example automated build and test stages for one priority repository. If it does not, your first month is free.
48 hours to first code in production means the first change merged and deployed through your pipeline, counted from the day scope and access are confirmed. 14 days means the deliverable named at kickoff ships within 14 days of that date, or your first month is free. “Thousands of companies” counts organisations that have bought engineering services from Scrums.com since 2012. 10x faster deployments, 99.9%+ uptime with SRE practices, 70% lower MTTR, 3-5x faster implementation and 30-50% cloud cost reduction are the figures the current Scrums.com DevOps engineering page states. 40-60% lower cost is the figure that page states against US and UK DevOps agencies; it is not a quote for your scope.
DevOps is the practices, culture and automation that let development and operations work together: CI/CD, infrastructure-as-code, monitoring and incident response. Platform engineering builds internal developer platforms: self-service tools, environments and workflows that hide infrastructure complexity, so developers deploy without a DevOps bottleneck. Scrums.com delivers both.
It depends on starting maturity and scope. Basic CI/CD takes 2 to 4 weeks. Comprehensive DevOps (CI/CD for all services, IaC for all infrastructure, monitoring and containers) takes 2 to 3 months. A full platform engineering transformation takes 6 to 12 months. The first automated pipeline deploys within 2 to 3 weeks.
No. Automation, CI/CD, IaC and monitoring apply to on-premise, cloud or hybrid infrastructure, with tools such as Jenkins, Ansible and Prometheus that work across environments. Cloud platforms add managed services that speed up adoption, so most organisations benefit from a migration, but it is not required.
Yes. Automation enables right-sizing on actual usage, auto-scaling that matches capacity to demand, reserved instances and savings plans, spot instances for batch jobs, resource tagging and automated cleanup of unused resources. Most organisations reach a 30-50% cloud cost reduction through DevOps-enabled FinOps within 6 months.
That is expected. The team brings the Kubernetes, Terraform, monitoring and SRE expertise and trains your engineers through hands-on work, documentation, runbooks and knowledge-transfer sessions. By the end, your engineers can own the platform without an external dependency.
There are three models. A dedicated SRE team gives 24/7 incident response, triage and postmortems. In shared on-call, Scrums.com engineers join your rotation. In training and handoff, your team gets the runbooks, alerting and training to run on-call alone. Most clients start with dedicated coverage and move to shared or self-managed on-call.
Yes. Current tooling such as Jenkins, GitLab, Azure DevOps and existing cloud accounts is improved and automated, not replaced. Where a tool limits capability, the team recommends an upgrade or migration path. Most engagements are 70% existing tools plus 30% new tools for specific gaps.
DORA metrics on the Scrums.com Platform: deployment frequency, lead time for changes, mean time to recovery and change failure rate. Provisioning time, incident count and severity, toil percentage and cloud cost per transaction are tracked too. Quarterly reviews compare current metrics against baselines.
DEVOPS ENGINEERING · SORTED
Deployments that ship in minutes and hold.
Delivery Plan · Core: one monthly price, one backlog across your development priorities, one active workstream and a managed team for CI/CD, infrastructure-as-code, Kubernetes, observability and SRE.
PIPELINES · IAC · KUBERNETES · OBSERVABILITY · SRE