Scrums.com provides end-to-end DevOps engineering services that help you 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 custom software, AI, backend, web, mobile, data or DevOps and cloud work to the same backlog whenever you need it.
“The Scrums.com team often pre-empted and identified solutions and enhancements to our project.”
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How your Software Factory Delivery Plan works
We turn your goals into clear tasks and agree milestones before work starts. Follow progress from research and prototypes through to production, with every handoff visible. As each task ships, Scrums.com moves to the next priority.
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.
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.
Automated 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.
Infrastructure 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.
Containerised 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.
Cloud 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.
Metrics, 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%.
SRE 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.
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.
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.
DevOps specialists, SREs and cloud architects from the Scrums.com bench, matched to your infrastructure and domain.
The operations, code-review and release agents that run alongside your team, plus the MCP servers they use.
Cloud, container and observability infrastructure, deployable from the catalog with your $500 first-month credits.
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.
Infrastructure, configuration, policies and monitoring are version-controlled, peer-reviewed and rolled back on any failure.
One plan price for pipelines, infrastructure and reliability work. Your scope sets the number of months.
Pre-built CI/CD patterns, IaC modules and monitoring templates make implementation 3-5x faster than building from scratch.
Agents correlate alerts, analyse logs, monitor capacity and fix common issues. Engineers keep architecture and platform work.
AWS, Azure and GCP experience keeps architecture decisions informed and vendor lock-in out.
Compliance automation: audit trails, policy-as-code and security scanning in the pipeline.
Teams are matched to your domain, built for payments, FinTech and enterprise platforms, across your cloud, pipelines and observability stack.
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.
Design and launch a portal for API discovery, credentials, documentation, usage visibility, support, and onboarding.
Centralize API routing, authentication, throttling, observability, and policy enforcement behind one gateway. Finish state: every API fronted by a governed gateway with limits enforced.
Reduce response times for a defined set of APIs using profiling-led query, caching, code, and infrastructure changes.
Profile and reduce excessive memory and CPU usage that drives instability, cost, or latency in a defined service.
Create a secure, governed multi-account AWS foundation with identity, networking, logging, and baseline controls, delivered as code.
Create a secure, governed Azure foundation with management groups, subscriptions, identity, networking, policy, and logging, delivered as code.
Implement application, CDN, database, or distributed caching for a defined high-read or latency-sensitive workload — with invalidation designed first.
Automate build, test, release promotion, approvals, rollback, and deployment for a defined application or repository.
Implement backups, recovery objectives, replication, and restore procedures for a defined workload, and prove them with a tested recovery.
Find and implement high-confidence savings across compute, storage, data transfer, managed services, and idle resources, with guardrails that keep them.
Redesign VPC/VNet structure, routing, private connectivity, ingress/egress, and segmentation for a defined cloud environment, with a staged cutover.
Assess a cloud environment for risky configurations, exposed assets, identity weaknesses, and control gaps — ranked by exploitability.
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.
Work is scoped and delivered within your plan’s capacity. Priorities can change; additional parallel workstreams require more capacity.
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 starts coding. Within 14 days the team builds your first agreed deliverable, 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 means the team starts coding within 48 hours of the day scope and access are confirmed. 14 days means the team builds the deliverable named at kickoff 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.
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The Software Factory
We’ve spent 15 years building software for some of the world’s biggest brands. Now we’re upgrading how you buy it.
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