SRE/DevOps & Platform Engineering
Increase production readiness, accelerate delivery, reduce risk
Your deployments take hours, your Kubernetes cluster is a black box, and compliance requirements are growing faster than your processes? Krafteq handles SRE, DevOps, and platform engineering tasks — from implementing individual initiatives to ongoing platform operations. As a managed service, as a project, or as team enablement. You decide what fits.
Enterprise software company, 300+ employees: From manual deployments to < 15 min. cycle time | 70 % cloud cost reduction
ChallengesWhy DevOps expertise determines success or stagnation
Many organizations have adopted cloud and containers. Yet releases remain risky, infrastructure fragile, and operational processes manual. The reason is almost always the same: a lack of experienced SRE and DevOps engineers who don't just know the practices, but live them daily.
Manual deployments slow down development
Releases take hours or days. Every rollout is a risk because steps are manual and undocumented. As a result, teams deliver slower and make more mistakes.
Kubernetes without operational expertise
The cluster is running, but nobody truly understands it. Autoscaling is misconfigured, secrets are stored in plain text, and an incident becomes a shot in the dark. Kubernetes without operational excellence is a risk, not an advantage.
Compliance pressure is rising rapidly
The EU Cyber Resilience Act takes effect in September 2026. SBOMs, vulnerability management, and verifiable software supply chains become mandatory. At the same time, GDPR and industry-specific requirements demand documented processes that many teams still lack.
No self-service for developer teams
Developers wait for infrastructure because there is no self-service tooling. Without an internal developer platform, bottlenecks form at ops teams and frustration builds among developers.
Cloud costs without governance
28-35 % of cloud spending is waste. Without FinOps practices and clear accountability, bills grow uncontrollably while the CFO asks for answers.
Observability as a gap
Without metrics, logs, and traces working together, production issues remain invisible until customers report them. Reactive troubleshooting costs time and trust.
Delivery ModelsThree paths to a production-ready platform — you decide
Krafteq handles SRE, DevOps, and platform engineering tasks flexibly. Whether we operate your platform on an ongoing basis, deliver a project with a defined target state, or enable your internal team — the delivery model adapts to your needs.
Managed Service — platform operated continuously
Krafteq operates and continuously evolves your platform. You steer through goals and priorities. Ideal for organizations that don't want to build their own DevOps organization — or want to strategically relieve an existing one.
Project-based — defined scope, clear target state
Build an IDP, modernize CI/CD, introduce Kubernetes — with a defined scope and measurable outcome. Typical duration: 6-12 weeks. Each project delivers standalone value.
Team enablement — build internal capabilities
Krafteq engineers work alongside your team, transfer knowledge, and build capabilities. Pair working, workshops, and documented processes ensure your team can independently maintain the platform.
Fully automated release pipelines
From manual deployment to fully automated CI/CD pipelines with GitHub Actions, GitLab CI, and ArgoCD. Typical result: cycle time under 15 minutes instead of hours.
Internal Developer Platform (IDP)
Building and operating an internal developer platform with Backstage, Pulumi, and self-service tooling. Developer teams gain self-service access to infrastructure, pipelines, and environments.
FinOps and cost control
Tagging strategies, cost dashboards, and rightsizing processes. Typical savings: 25-40 % of cloud costs within 90 days. FinOps expertise delivers transparency and governance.
ProcessHow we start — regardless of delivery model
Every engagement begins with an assessment, followed by implementation and transition to steady-state operations. The phases adapt to your chosen delivery model.
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Assessment and target state (Week 1-2)
We analyze your current DevOps landscape: CI/CD pipelines, infrastructure, observability, security, and operational processes. Together, we define the target state and the right delivery model. You receive a roadmap with concrete milestones.
Prioritized roadmap, clear target state, and matching delivery model
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Implementation and integration (Week 3-10)
Our SRE and platform engineers execute the roadmap. Depending on the model, we work as a dedicated team, as a project team with defined scope, or in pair with your staff. CI/CD pipelines, Kubernetes operations, observability stacks, and security checks are built and integrated.
Working pipelines, observability, and operational processes
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Transition and steady-state operations (Week 9-12)
For managed service, Krafteq takes over ongoing operations with defined SLAs. For projects and enablement, we hand over step by step to your team — with incident simulations, documented runbooks, and handover workshops.
Seamless transition to steady-state operations — internally or through Krafteq
ServicesWhat SRE/DevOps & Platform Engineering covers
Our SRE and DevOps engineers bring deep experience across all relevant disciplines. Whether as a managed service or in a project — you get holistic solutions, not isolated individual measures.
CI/CD and release automation
Modern pipelines with GitHub Actions, GitLab CI, or Jenkins. ArgoCD for GitOps-based deployments on Kubernetes. Automated tests, security scans, and approvals at every pipeline stage.
Kubernetes operations and platform engineering
EKS, AKS, or GKE at production grade. Helm charts for reproducible deployments. Namespace strategies, resource quotas, and autoscaling. Backstage as an internal developer portal for self-service.
Internal Developer Platform (IDP)
Building and operating an internal developer platform with Backstage, Pulumi, and self-service tooling. Developer teams gain independent access to infrastructure, pipelines, and environments — without having to wait for ops teams.
Infrastructure as Code
Terraform, Pulumi, or AWS CDK for versioned, reproducible infrastructure. Drift detection, automatic remediation, and modular reusability. No more manual clicking in cloud consoles.
Reliability Engineering
SLOs, error budgets, and incident management processes following SRE principles. Runbooks for common incidents. Blameless post-mortems as a learning culture. High availability and fault tolerance for business-critical systems.
Observability stack
Prometheus and VictoriaMetrics for metrics. Loki for logs. Jaeger or Tempo for distributed tracing. Grafana dashboards for your specific KPIs. OpenTelemetry as a vendor-neutral standard.
Security and compliance
Container scanning with Trivy, secrets management with HashiCorp Vault, SBOM generation for the EU Cyber Resilience Act. Network policies, pod security standards, and RBAC hardening for Kubernetes. GDPR-compliant infrastructure and processes.
FinOps and cloud cost control
Tagging strategies, cost dashboards, and rightsizing recommendations for AWS, Azure, and GCP. Automated alerts for cost anomalies. Clear allocation of costs to teams and projects.
ReferencesResults that speak for themselves
Cycle time after engagement
An enterprise software company with 300+ employees struggled with manual deployments that took 4-6 hours each. After 10 weeks: deployment time reduced from 6 hours to 12 minutes.
Cloud cost reduction
At the same enterprise software company, we reduced cloud costs by 70 % through technical ownership and targeted rightsizing — verified and documented.
Release cadence
From monthly to daily releases. Fully automated CI/CD pipeline with GitHub Actions and ArgoCD. The internal platform team now operates the solution independently.
Experience per engineer
Only senior engineers with an average of 10+ years of experience. Production-first: operations, security, and cost are considered from the start.
SRE/DevOps & Platform Engineering — let's talk about it
Let us discuss how we can support your team.
“Production-first engineering means: we deliver in production, not on slides. Whether as a managed service or as a project — what matters in the end is that your platform runs stable, fast, and maintainable.”
