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We implement the DevOps practices, CI/CD pipelines, and infrastructure management programmes that let engineering teams ship software confidently — faster deployments, fewer production incidents, and an operational platform that scales as your business grows. From infrastructure-as-code through Kubernetes orchestration, DevSecOps, and 24/7 site reliability engineering, we build the platform your developers build on.
From CI/CD pipeline automation and infrastructure-as-code through Kubernetes, DevSecOps, and 24/7 site reliability engineering — every layer of the modern engineering platform, delivered to production standards.
We design and implement CI/CD pipelines — build, test, and deployment automation using GitHub Actions, GitLab CI, Jenkins, and CircleCI — that reduce deployment lead time from hours to minutes, eliminate manual deployment errors, and give every commit a clear path to production through automated gates.
We design and implement infrastructure-as-code programmes — Terraform, Pulumi, CloudFormation, and Bicep — that make every infrastructure change version-controlled, reviewable, testable, and repeatable. No manual console changes, no configuration drift, no infrastructure that cannot be destroyed and recreated from code.
We design and implement container platforms — Docker build optimisation, Kubernetes cluster design, Helm chart development, service mesh configuration (Istio, Linkerd), and GitOps workflows (ArgoCD, Flux) — that give your applications a reliable, scalable, and operationally manageable deployment target.
We embed security into the delivery pipeline — SAST, DAST, SCA, container image scanning, secrets management, and infrastructure security scanning — so vulnerabilities are caught before they reach production rather than discovered after a breach. Security gates are automated, not manual reviews at the end.
We design and implement observability programmes — metrics, logs, and traces using Prometheus, Grafana, Elasticsearch, and Datadog — with alerting rules, runbooks, and on-call processes that give your operations team the visibility they need to detect and resolve production issues before customers notice.
We design and manage the cloud platform infrastructure — VPCs, networking, security groups, IAM, managed services, and platform engineering capabilities — that sits beneath your applications on AWS, Azure, or GCP, designed with the security, cost efficiency, and reliability requirements of your workloads from the ground up.
We design disaster recovery programmes and reliability engineering practices — runbooks, game days, chaos engineering, backup and restore testing, and multi-region failover — that give your engineering team confidence in the platform's ability to survive failure events and recover within defined recovery time objectives.
We help engineering organisations adopt DevOps practices — capability assessment, transformation roadmap, team topology design, toolchain selection, and coaching — accelerating the shift from release-by-ticket-batch to continuous delivery without a big-bang platform migration.
We are toolchain-agnostic — we recommend and implement the tools that fit your team, your workloads, and your existing investments. Here are the tools we have production experience with across every stage of the DevOps lifecycle.
A reliable infrastructure platform has three distinct layers — each must be designed and managed correctly for the one above it to deliver the reliability your engineering team needs.
All infrastructure is defined in code — versioned, reviewed, tested, and deployable in minutes. No manual changes, no undocumented configuration, no snowflake servers that cannot be replaced.
Applications run in containers orchestrated by Kubernetes — consistent environments, self-healing deployments, horizontal scaling, and deployment strategies (blue/green, canary) that eliminate deployment risk.
Every component of the platform emits metrics, logs, and traces — collected, stored, and visualised in dashboards that give engineering teams the visibility to detect, diagnose, and resolve issues before customers are affected.
A structured 6-phase approach — from assessing your current DevOps maturity through to a production-stable, monitored engineering platform that your team owns and operates independently.
We assess your current engineering practices — deployment frequency, lead time for changes, change failure rate, and mean time to restore — against DORA benchmarks, identifying the specific bottlenecks limiting your delivery performance.
We design the target DevOps platform — toolchain selection, pipeline architecture, infrastructure design, observability strategy, and security integration — with a prioritised implementation roadmap that delivers value from the first phase.
We implement the infrastructure foundation — IaC setup, network architecture, Kubernetes cluster design, and security baseline — creating the platform that the application pipelines and workloads will run on.
We deliver a structured knowledge transfer — platform documentation, operational runbooks, on-call training, and a supported handover period — ensuring your team can operate, maintain, and extend the platform independently.
We implement the observability layer — metrics, logging, tracing, and alerting — and establish the on-call process, incident response runbooks, and SLO framework that keep the platform reliable in production.
We implement CI/CD pipelines for your application portfolio — starting with a pilot application to validate the approach, then rolling out across the engineering team with training and support at each stage.
DevOps implementations fail when they focus on tools instead of outcomes. Here is how we measure ours.
Before DevOps implementation, most teams deploy weekly or monthly with a manual release process involving multiple handoffs, approvals, and risk-of-change windows. After our CI/CD implementation, deployment frequency typically increases to multiple times per day — smaller changes, faster feedback, lower risk per deployment.
Most production incidents in manually-managed environments are caused by changes that were not adequately tested or reviewed. Automated testing in CI/CD — unit tests, integration tests, security scans, and deployment verification — catches issues before they reach production, not after.
The fastest path to incident resolution is observability that was designed before the incident, not added after. We implement metrics, logging, tracing, and alerting with documented runbooks before go-live — so when an incident occurs, the team knows where to look and what to do within minutes, not hours.
Manual infrastructure changes accumulate as undocumented, unrepeatable configuration that makes systems fragile and environments inconsistent. Every infrastructure component we manage is defined in Terraform or equivalent IaC — versioned in Git, reviewed in pull requests, tested automatically, and deployable from scratch in a single command.
At Rackwave Technologies, we deliver tailored IT Consulting Services across a wide range of industries. Our industry-focused approach ensures that every solution aligns with specific operational challenges, compliance requirements, and growth objectives—rather than generic technology implementations.
IT systems for real-time tracking and efficient operations.
Explore MoreFeedback from engineering leaders, VPs of Technology, and CTOs who have transformed their delivery performance with Rackwave Technologies.
Before Rackwave, we deployed once every two weeks, after a four-hour manual process involving six people and a release checklist with 47 items. Three months after their CI/CD implementation, we deploy twelve times per day with a fully automated pipeline that takes eight minutes. The change failure rate dropped from 23% to 2%. Every engineer on the team can deploy independently, without waiting for a release window. The transformation in team confidence was as significant as the metrics improvement — people stopped being afraid to ship code.
We had 400 servers in 3 different cloud accounts managed by hand — no IaC, no documentation, environments that drifted from each other monthly. Rackwave migrated the entire estate to Terraform over 4 months. We can now rebuild any environment from scratch in 22 minutes. The last disaster recovery test passed in 18 minutes against a 30-minute RTO. That was previously untestable because we had no idea what "correct infrastructure" looked like.
Moving from VMs to Kubernetes was something we had failed at twice before. Rackwave took a different approach — they started with one application, proved the pattern, then templated it for the other 12. The GitOps workflow with ArgoCD means developers can see exactly what is deployed in every environment. We have had zero deployment-related production incidents in 8 months.
Our MTTR was 4 hours — we would get alerted by customers before our own monitoring. Rackwave implemented Prometheus, Grafana, and distributed tracing in 6 weeks. Our MTTR is now 14 minutes. More importantly, 80% of incidents are now detected and resolved by our team before any customer impact. The observability runbooks they wrote are still the first thing every new engineer reads during onboarding.
“Rackwave Technologies has significantly improved our marketing performance while providing reliable cloud services. We’ve been using their solutions for a while now, and the experience has been seamless, scalable, and results-driven.”
David Larry
Founder & CEOCommon questions about DevOps and infrastructure management services with Rackwave Technologies.
We use the DORA (DevOps Research and Assessment) four key metrics as our primary measurement framework — deployment frequency, lead time for changes, change failure rate, and mean time to restore. These metrics are industry-validated predictors of software delivery performance and organisational performance. At the start of every engagement we baseline these metrics for your team. At 90 days and 6 months, we review them against the baseline and against DORA Elite benchmarks. Typical outcomes after our CI/CD implementation: deployment frequency increases from weekly to multiple times per day; lead time drops from days to under an hour; change failure rate drops from 15-25% to 2-5%.
No. Kubernetes is appropriate for many workloads but not all. We assess your applications, team capabilities, and operational requirements before recommending a container orchestration strategy. For some teams and workloads, managed container services (AWS ECS, Azure Container Apps, Google Cloud Run) provide most of the benefit with significantly less operational complexity. For others, serverless architectures eliminate infrastructure management entirely. We recommend the approach that fits your team and your workloads — not the most sophisticated architecture for its own sake.
Infrastructure as code means every infrastructure resource — servers, networks, databases, load balancers, DNS records — is defined in configuration files that are stored in version control, reviewed like application code, and applied automatically rather than created manually through consoles. It matters because manual infrastructure creates environments that cannot be reliably reproduced, changes that cannot be traced, and configurations that drift from their intended state over time. With IaC, every environment is reproducible from a single command, every change is auditable, and disaster recovery can be tested by actually destroying and recreating the environment.
A focused CI/CD implementation for a single application — pipeline design, build automation, test integration, deployment automation, and monitoring — typically takes 4 to 8 weeks. A platform-wide CI/CD rollout across a team of 20 to 50 engineers typically takes 3 to 5 months, rolling out in application waves of 3 to 5 applications at a time. We always start with a pilot application to validate the pipeline design before scaling to the rest of the portfolio.
DevSecOps means embedding security controls into the CI/CD pipeline rather than running security reviews at the end of the delivery cycle. In a traditional approach, security is reviewed before a release — often finding vulnerabilities too late to fix without delaying the release. In a DevSecOps pipeline, SAST scans run on every commit, dependency vulnerabilities are checked on every build, container images are scanned before deployment, and infrastructure security is validated before provisioning. Issues are caught when they are cheapest to fix — during development — rather than before a release deadline.
Yes. We offer 24/7 infrastructure managed services — monitoring, incident response, patch management, and on-call escalation. Our SRE team monitors your infrastructure health continuously with agreed alerting thresholds and response time SLAs. We also help you build your own on-call capability — designing the alerting rules, escalation paths, and incident runbooks that your internal team needs to own production operations. Many clients use our managed services initially and progressively transition on-call responsibility to their internal team as capability matures.
Yes — DevOps rescue and optimisation is common. Most teams that have started a DevOps journey have CI/CD pipelines that are too slow (20-30 minute builds), test suites that are too fragile or incomplete, infrastructure that is partially automated, or observability that lacks actionable alerting. We audit what exists, identify the highest-impact improvements, and implement them. The most common fixes are pipeline performance optimisation (parallelisation, caching), test suite reliability improvement, IaC coverage gaps, and alerting rule design. We do not restart from scratch unless there is a specific reason to.