Deployment still has off-pipeline steps
Release scripts, configuration changes or database work done by hand make deployment dependent on the people who know those steps.
DevOps Consulting
DevOps consulting for
production systems
We review and improve existing CI/CD pipelines, set up deployment and rollback, manage cloud and on-prem infrastructure, and support teams running Docker or Kubernetes in production.
Common Problems
Common release and production problems
Manual steps, environment drift and unclear access still cause failed deployments and slow incident response.
Rollback has never been exercised
The team needs to know which version to restore, which data changes are reversible and how long recovery will take.
Staging no longer matches production
Configuration and dependency drift creates failures that do not appear until the production deployment.
Alerts do not identify the failing service
Logs, metrics, traces and alerts need shared service names and enough context to support incident diagnosis.
Production access is difficult to audit
Individual access, executed commands, approvals and results should be available after every server or cluster operation.
Clusters and cloud resources have no clear owner
Resources without an owner, purpose or change history create unnecessary cost and production risk.
DevOps Assessment
We review the current setup before replacing it
We inspect repositories, pipeline jobs, environments, servers, clusters, network paths, access rules and recent incidents. This shows where releases fail and where production risk is concentrated.
The result may be a short list of pipeline fixes, not a platform rebuild. If the current VM or container setup works, we do not add Kubernetes. Each larger change has an implementation and rollback plan.
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01
Review repositories and environments
We trace a change through build, test, approval, deployment and post-deployment checks, including work performed outside the pipeline.
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02
Check production risk
We separate security and outage risks from slow jobs, repeated manual work and other delivery problems.
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03
Agree the implementation order
The plan lists pipeline fixes, infrastructure changes, migration steps, owners and rollback points in a practical sequence.
Scope
DevOps Services
We can take on a defined pipeline problem, a Kubernetes platform, infrastructure automation or ongoing production support.
CI/CD & Release Management
We configure build, test, security scan and deployment jobs in GitHub Actions, GitLab CI/CD or Jenkins. We also set up environment rules, approvals, rollback, blue-green or canary deployment where required.
Containers, Kubernetes & Platform Engineering
We work on Docker images, registries and deployment configuration. For Kubernetes environments, we cover cluster setup and operations, Helm, ingress, autoscaling, secrets, resource use and upgrades.
Terraform, Infrastructure as Code & GitOps
We use Terraform to manage infrastructure and environment differences in version control. GitOps can keep deployment changes reviewable and provide a clear history of what reached each environment.
Monitoring, Observability & SRE
We configure metrics, logs, traces and alerts with Prometheus, Grafana, Loki or the monitoring tools already in use. Dashboards and alerts are tied to services and incident response.
Cloud, Hybrid & On-Prem Infrastructure
We support AWS, private infrastructure, on-prem servers and hybrid environments. Network, access, backup, scaling and migration work is planned around the current dependencies.
DevSecOps & Production Access
We add secret management, image scanning, network policy, production permissions, approvals and audit logs to pipelines and infrastructure operations.
OpsPilot
Run approved infrastructure operations from chat
OpsPilot lets engineers request work on remote servers, jump servers, Kubernetes clusters and connected internal tools from chat. They do not need to open each system or search for the right command.
What happens before a command runs
OpsPilot prepares an execution plan for the target system. Permission and policy checks run first, and an approval is requested when required. The approved operation runs through the relevant MCP tool. The user, command, time and result remain in the audit trail.
OpsPilot is currently used for production operations in large enterprise environments.
View OpsPilot- 01Chat request
- 02Execution plan
- 03Permission & policy check
- 04Approval if required
- 05Run through an MCP tool
- 06Result & audit trail
Connected systems
- Remote server
- Jump server
- Kubernetes
- Internal tool
Typical Requests
Examples of work clients bring to us
“The deployment pipeline passes, but the release still fails.”
We inspect work performed outside the pipeline, approval gates, environment configuration, post-deployment checks and the rollback procedure.
“We need a practical plan for our on-prem estate.”
We inventory hosts, services, dependencies, network routes, backup and recovery first. Those findings determine what should remain, move or be replaced.
“Cluster upgrades and day-two Kubernetes work take too much time.”
We review nodes, add-ons, namespaces, resources, monitoring, access rules and the upgrade process across the cluster.
“Too many people share production access.”
We replace shared access with individual accounts, scoped roles, recorded commands and approvals for higher-risk operations.
“We collect logs and metrics, but incidents still take too long to diagnose.”
We correlate telemetry by service, remove noisy alerts and make ownership clear so responders can locate the failing component faster.
“Our cloud bill has grown without clear owners.”
We identify unused or oversized resources, check traffic and recovery requirements, and assign each resource to a service and owner.
Technology
Tools & Platforms
We can continue with the tools already in your environment and add a new one when it fixes a specific problem.
CI/CD & Release
- GitHub Actions
- GitLab CI/CD
- Jenkins
- Blue-green
- Canary
- Rollback
Docker & Kubernetes
- Docker
- Kubernetes
- Helm
- Container registry
- Ingress
- Autoscaling
Infrastructure as Code & GitOps
- Terraform
- Ansible
- GitOps
- Configuration management
- AWS
- On-prem
Monitoring & Logging
- Prometheus
- Grafana
- Loki
- Datadog
- Logs
- Metrics
- Traces
Security & Access
- Secrets
- Image scanning
- Policy
- Approval
- Audit log
- Runbooks
OpsPilot & MCP
- MCP tools
- Remote servers
- Jump servers
- Internal tools
- Approved execution
FAQ
DevOps Consulting FAQ
No. If the application runs well on virtual machines or Docker, Kubernetes may add unnecessary work. We consider service count, traffic, isolation, autoscaling and the team’s experience before recommending it.
Yes. We can fix slow or unreliable jobs, caching, artifacts, security scans, deployment steps, permissions and rollback without rebuilding the whole pipeline.
Yes. We manage on-prem servers and Kubernetes clusters, improve existing infrastructure, or connect on-prem services with cloud resources in a hybrid setup.
No. We work with AWS, private cloud, on-prem infrastructure and hybrid systems. A client does not need to change provider before we start.
Yes. We work with the internal team on pipeline code, infrastructure code, cluster settings and runbooks. Changes and day-to-day operating procedures are documented.
OpsPilot starts remote server and connected-system operations from chat. It prepares a plan, checks permissions and policies, requests approval when required, and runs the operation through an MCP tool.
OpsPilot can access only the systems an organisation connects and only within defined user permissions and policies. Read-only checks, low-risk actions and critical changes can have separate approval rules.
Yes. We can work with restricted network access, jump servers, role-based permissions, mandatory approvals and audit logs. Deployment and connectivity follow the organisation’s security requirements.
Need help with a pipeline, platform or production issue?
Tell us what is running today and where the team is stuck.
Contact the DevOps team