Delivery pipelines modernised as scoped workstreams on the Scrums.com platform: CI/CD automation, infrastructure-as-code, Kubernetes and cloud-native deployments, observability and SRE practices. Scrums.com owns the outcome, milestone by milestone, with deployment frequency, lead time and MTTR visible in one dashboard.
Delivering since 2012 · Trusted by 400+ enterprises · 40-60% cost savings versus US and UK firms
DevOps on Scrums.com is delivered as scoped workstreams: the pipeline, the infrastructure-as-code, the container platform, the observability stack and the SRE practices, run to milestones on the SEOP platform with Scrums.com accountable for the outcome. AI agents handle the repetitive operational work: incident detection, log analysis and alert correlation, predictive scaling, vulnerability scanning and the remediation of common issues. Engineers keep architecture, automation and platform evolution.
Internal developer platforms that abstract infrastructure complexity, so developers self-service environments, deployments and resources without a DevOps bottleneck, and a small DevOps team supports hundreds of developers.
Infrastructure, configuration, policies, monitoring and documentation are version-controlled code: tested before production, peer-reviewed, rolled back on any failure, with compliance enforced as code.
Agents correlate alerts, analyse logs, monitor capacity and remediate common issues. AI does not replace DevOps engineers; it removes the toil that causes incidents and frees engineers for strategic work.
Pre-built CI/CD patterns, IaC modules and monitoring templates accelerate implementation 3-5x versus building from scratch. Multi-cloud experience across AWS, Azure and GCP keeps architecture decisions informed and vendor lock-in out. Regulated industries get compliance automation: audit trails, policy-as-code and security scanning in the pipeline.
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.
Each capability above is delivered as a fixed-scope workstream from the scopes register: agreed acceptance criteria, milestones, evidence you can stand behind, and no timesheets.
A structured implementation that builds automation maturity progressively while delivering operational improvements from the first weeks. Basic CI/CD lands in 2 to 4 weeks; comprehensive DevOps in 2 to 3 months; a full platform engineering transformation in 6 to 12 months.
Fixed-scope work from the scopes register. Milestone-based, SLA-backed and run on the platform. Shipping a mobile app too? See mobile app development.
Automated CI/CD pipelines that test, build and deploy reliably cut deployment time by 10x.
Firefighting instead of building features. Observability and automation reduce incidents by 60%.
Infrastructure-as-code brings environment creation down to minutes.
FinOps practices on DevOps automation: right-sizing, auto-scaling, tagging and cleanup deliver 30-50% cloud savings.
Orchestration strategy, SRE capabilities, on-call practices and incident response frameworks, in place.
Proactive maintenance, monitoring and support under an SLA is the Platform Maintenance scope. Platform Maintenance SLA →
Legacy to cloud-native as a transformation programme is its own service. Platform Modernization →
Add a DevOps specialist, SRE or cloud architect from the register to a team you direct. Hire DevOps engineers →
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, workflows) that abstract infrastructure complexity so developers deploy and operate applications without a DevOps bottleneck. It is the evolution of DevOps at scale. Scrums.com delivers both: foundational DevOps automation plus platform engineering for self-service scale.
It depends on starting maturity and scope. Basic CI/CD (initial pipelines, automated testing, deployment automation) takes 2 to 4 weeks. Comprehensive DevOps (CI/CD for all services, IaC managing all infrastructure, monitoring, containerisation) takes 2 to 3 months. A full platform engineering transformation (self-service platforms, multi-cloud, advanced SRE) runs 6 to 12 months. The phased approach shows value immediately: the first automated pipeline deploys within 2 to 3 weeks.
No. DevOps principles (automation, CI/CD, IaC, monitoring) apply to on-premise, cloud or hybrid infrastructure, using tools such as Jenkins, Ansible and Prometheus that work across environments. Cloud platforms add native services (managed Kubernetes, serverless, managed databases) that accelerate adoption and reduce operational overhead, so most organisations find cloud migration beneficial, but it is not required.
Yes. Automation enables optimisation that manual processes cannot: right-sizing on actual usage, auto-scaling that matches capacity to demand, reserved instances and savings plans for predictable workloads, spot instances for fault-tolerant batch jobs, resource tagging for cost allocation 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. Most development teams lack specialised skills in Kubernetes, Terraform, monitoring platforms or SRE practices. The workstream brings the expertise and progressively trains your team through hands-on collaboration, documentation, runbooks and knowledge-transfer sessions, so your engineers have practical DevOps experience by the end and can own the platform without external dependency.
Flexible models: a dedicated SRE team providing 24/7 incident response, triage, coordination and postmortems; shared on-call where Scrums.com engineers join your rotation; or training and handoff where on-call practices, runbooks and alerting are established and your team is trained for self-sufficiency. Most clients start with dedicated coverage during implementation and move to shared or self-managed on-call as capability grows.
Yes. Current tooling (Jenkins, GitLab, Azure DevOps, existing cloud accounts) is enhanced and automated rather than replaced. Where tools limit capability, upgrades and migration paths are recommended with integration complexity, team familiarity and business disruption in mind. Most engagements are 70% existing tools plus 30% complementary tools for specific gaps.
DORA metrics through SEOP dashboards: deployment frequency, lead time for changes, mean time to recovery and change failure rate, plus provisioning time, incident count and severity, toil percentage and cloud cost per customer or transaction. Quarterly reviews compare current metrics against baselines to show velocity and reliability improvements.
Ongoing platform engineering that keeps improving automation and scaling the platform; managed operations with 24/7 monitoring, incident response and infrastructure management; advisory with a part-time DevOps architect for strategic guidance and quarterly reviews; or knowledge transfer and handoff for complete platform ownership. Most clients choose ongoing support to keep DevOps momentum and prevent capability regression.
Scoped DevOps workstreams on the Scrums.com platform: CI/CD, infrastructure-as-code, Kubernetes, observability and SRE, with every DORA metric visible and Scrums.com accountable for the outcome.
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