DevOps is the practice of building, testing and releasing software through one automated path, owned by the people who write the code.
15+ years of team experience · Architect-led · 5.0/5 client satisfaction
DevOps and cloud engineering so every release ships the same tested way.
We build the pipelines, infrastructure code, containers and monitoring behind your applications, on AWS, Azure, Google Cloud or your own servers, and hand your team a setup it can run.
See a pipeline
- 15+Years of team experience
- 20+Enterprise implementations
- 60 minFree DevOps and cloud engineering review, with a written plan
- 5.0/5Client satisfaction (CSAT)
Proven Success With
5.0/5 CSAT
New to DevOps and cloud engineering?
What is DevOps and cloud engineering?
Cloud engineering is the infrastructure underneath: networks, compute, databases and access, written as code so it can be reviewed and rebuilt.
Monitoring closes the loop. Logs, metrics and traces show how each release behaves once real users reach it.
When to start
When does a team need DevOps help?
Most teams call us after one of these.
Releases are manual
One person knows the deploy steps, and nobody wants to deploy on a Friday.
Servers nobody can rebuild
Infrastructure was set up by hand and only exists in the console.
Users report outages first
There are no alerts, or so many that nobody reads them.
The cloud bill keeps growing
Nobody can say which service or team the spend belongs to.
Secrets in the repository
Passwords and keys sit in code, config files or chat history.
What we do
What does DevOps and cloud engineering include?
Eight areas. Most engagements start with the pipeline and infrastructure code, then add the rest.
CI/CD pipelines
01GitHub Actions, GitLab CI, Azure DevOps or Jenkins: build, test, scan and deploy on every change.
Infrastructure as code
02Terraform, OpenTofu, Pulumi, CloudFormation or Bicep, with plans reviewed before they apply.
Containers and Kubernetes
03Docker images built once, then run on managed Kubernetes or a simpler container service.
Observability
04OpenTelemetry, Prometheus, Grafana or your cloud monitoring, with alerts tied to what users feel.
Secrets and access
05A secrets vault, short-lived credentials for pipelines and least-privilege roles.
Cloud cost control
06Tags, budgets and alerts, idle resources removed and sizes matched to real load.
Self-hosted platforms
07Coolify or Dokku on servers you control, with backups and a reverse proxy.
Run and support
08Patching, upgrades, runbooks and on-call handover to your team or a monthly plan.
A delivery pipeline
What does a CI/CD pipeline look like?
One path from pull request to production. The same image moves through each stage, and the infrastructure under it comes from reviewed code.
approval
Pull requestCode review on GitHub or GitLab
Build and testUnit and integration tests
Security checksDependency, code and secret scans
Container imageBuilt once and stored in a registry
Infrastructure as codeTerraform or OpenTofu plan reviewed
StagingSmoke and end-to-end tests
ProductionApproved release, rollback ready
MonitoringLogs, metrics, traces and alerts
Build once
The image tested in staging is the one that reaches production.
Approval where it matters
Production deploys wait for a named approver; lower stages run on their own.
Rollback planned
The previous release stays ready to redeploy, and database changes are written to allow it.
Platform stack
Which tools do your DevOps engineers use?
The platform layer by layer. We work with the tools you already have and add only what is missing.
- GitHub Actions
- GitLab CI
- Azure DevOps
- Jenkins
- Terraform
- OpenTofu
- Pulumi
- CloudFormation
- Bicep
- Docker
- Kubernetes
- Managed container services
- Coolify
- Dokku
- OpenTelemetry
- Prometheus
- Grafana
- Cloud monitoring
- Secrets vault
- Least-privilege roles
- Image scanning
- Budgets and tags
Hosting choices
Should you self-host or use a managed cloud?
How much platform you need depends on your team, your load and where your data must live. We run our own website this way: on a self-hosted Coolify platform behind a reverse proxy.
Self-hosted platform
Coolify or Dokku on your own servers: push code, and apps and databases deploy.
Smaller estates, tight budgets, or data that must stay in a set location.
Virtual machines
Cloud servers you patch and configure, built from infrastructure code.
Legacy apps that need a full server, or software licensed per machine.
Managed containers
The cloud runs containers for you without a cluster to manage.
Most web apps and APIs that need to scale without a platform team.
Managed Kubernetes
EKS, AKS or GKE, with the control plane run by the provider.
Many services, several teams, and people to run the cluster.
Serverless
Functions and managed services billed by use.
Uneven or event-driven load, scheduled jobs and webhooks.
Production readiness
Is your application ready for production?
The review we run before a go-live or after taking over a platform. Each gap gets an owner and a fix.
Delivery
- Every deploy runs through the pipeline
- Tests and scans block a bad build
- Rollback tested in staging
- Infrastructure changes reviewed as code
Operations
- Alerts reach a named person
- Logs, metrics and traces in one place
- Backups restored in a test
- Runbooks for the common failures
Security and cost
- No secrets in code or images
- Least-privilege access for people and pipelines
- Patching schedule agreed
- Budgets and alerts on cloud spend
How it runs
How does a DevOps engagement run?
Five phases, run as parallel workstreams. The written proposal states the scope and milestones before anything starts.
Workstream
- 01Assess
- 02Foundation
- 03Automate
- 04Observe
- 05Hand over
Pipeline
Infrastructure
Security
Operations
Cost
Your team
Cost and timing
What it costs and how long it takes
The review is free
A 60-minute architecture review of your DevOps and cloud setup, with a written plan you keep.
A fixed-scope proposal first
Before any work starts you get a written proposal: a fixed-scope project with milestones, or a monthly plan. You approve it, or you do not.
Timing follows scope
How long it takes depends on what is in scope. The proposal states the milestones, so you see the timeline before you commit.
Client stories
Client work we have delivered
Real engagements, described by industry. Each story covers the starting position, what we built and how we delivered it, end to end.
Financial ServicesSelf-Hosted AI Research Infrastructure Behind a Salesforce Deal EngineSelf-hosted AI agent infrastructure for a US private equity advisory firm: n8n workflows, PostgreSQL, web research and Google Drive mandate documents, deployed with Coolify and writing results back to Salesforce.n8n · PostgreSQL · Coolify · FirecrawlRead the story 
Commercial & Business ServicesA Subscription Estimator and Technical Library for Fire Protection ProfessionalsA Next.js web application for a fire protection business: a searchable technical library and estimator with role-based access, manufacturer filtering, PDF output and subscriptions, with AI product identification in development.Next.js · Custom web application · Authentication and roles · SubscriptionsRead the story 
Communications, Media & TechnologyFour Production AI Systems for a Japanese Contact Centre OperatorCustom AI for a Japanese contact centre operator: recorded and live Japanese call transcription, 16-field emergency form extraction with human review, a bilingual knowledge base, and realtime operator assistance.Custom AI · Speech-to-text · Large language models · Vector searchRead the story Client reviews
What clients say about working with our architects
See how teams describe working with SynconAI, from first scope to production delivery.
Salesforce Select Partner30+ Salesforce certificationsDelivery from Delaware & Sydney, worldwide
Simply Outstanding
“SynconAI Consulting are Simply the Best in the Business When it comes to Salesforce implementation and AI-powered solutions, SynconAI are in a league of their own. Their expertise, dedication, and ability to deliver results that truly move the needle sets them apart from every other consulting partner we've worked with. What they achieved with our Sales Cloud, Service Cloud, and custom Agentforce agent has completely transformed how we operate streamlining our pipelines and our customer service, and automating tasks that used to consume hours of our team's time. They don't just implement technology they transform businesses. If you want the best, you work with their team.”
Sales CloudService CloudAgentforce
Jack BennettConsumer Goods & Retail · United States
“I had a very urgent deadline for our project reporting to be delivered and needed to build the module, dashboard and output reports in Salesforce. SynconAI were very responsive - they met with me online, responded to my emails quickly and took calls - whatever was needed to progress the work quickly. We are thrilled with the outcome and will continue to work with SynconAI in the future to continue to build our Salesforce capability and platform.”
Sales CloudService CloudNonprofit Cloud
Salesforce Managed ServicesAustraliaSalesforce Verified
“The team at SynconAI were fantastic, and promptly delivered on each project. They were able to guide us through every stage and made sure we were satisfied with the outcomes on multiple scopes of work.”
Sales CloudSlackFlowAgentforceMuleSoft
ManufacturingAustraliaSalesforce Verified
“They have been great and helping us transform out business by bringing what I conceptualize to life. Great at translating process/workflow needs into a solution. Been a pleasure work with and they're a critical part of our team and will be instrumental into bringing about my vision.”
Sales CloudFinancial Services CloudArchitectureAI
Financial ServicesUnited StatesSalesforce Verified
“Working with SynconAI was a seamless and highly professional experience from start to finish. They took the time to deeply understand our business processes before designing and implementing a Salesforce solution tailored specifically to our operational needs. The team demonstrated strong technical expertise across Salesforce configuration, automation, integrations, reporting, and user experience design.”
SalesforceExperience CloudCustom DevelopmentAutomationReporting
Salesforce ImplementationSalesforce Verified
Frequently asked questions
DevOps and cloud engineering, answered.
Straight answers about pipelines, infrastructure as code, Kubernetes, self-hosting and how we work.
Building the automated path from code to production and the platform underneath it: CI/CD pipelines, infrastructure as code, containers, monitoring, secrets and cost control.
Our DevOps consulting services cover CI/CD pipelines, Terraform or OpenTofu, Docker and Kubernetes, observability, secrets management, cloud cost control, self-hosted platforms and ongoing support.
Both use the same configuration language. Terraform is under the Business Source License; OpenTofu is an open-source fork under the Linux Foundation. We help you choose based on licensing needs and features.
Often not. Many web apps run well on a managed container service or a self-hosted platform. Kubernetes fits when you run many services with a team able to operate it.
Coolify is an open-source, self-hosted platform for deploying applications and databases on your own servers. We run our own website this way.
Our engineers work on AWS, Microsoft Azure and Google Cloud, and on your own servers. We describe the work in a written proposal before anything starts.
Yes. You can engage us for a fixed-scope project, on a monthly plan, or with engineers added to your team through our engineering team extension service.
Yes. Everything lives in your repositories and accounts, with runbooks and training. A monthly support plan is available if you want one.
GitHub, GitLab, Azure DevOps, Bicep, Jenkins, Terraform, OpenTofu, Pulumi, AWS, CloudFormation, Amazon EKS, Microsoft Azure, AKS, Google Cloud, GKE, Docker, Kubernetes, OpenTelemetry, Prometheus, Grafana, Coolify and Dokku are trademarks of their respective owners. SynconAI is an independent consulting firm and is not affiliated with or endorsed by these companies or projects.
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