A container packages an app with everything it needs to run, so it behaves the same on a laptop, in testing and in production.
15+ years of team experience · Architect-led · Free 60-minute architecture review
Kubernetes and containers sized to what your apps actually need.
Our engineers package apps as containers, set up and run managed Kubernetes on EKS, AKS or GKE, and keep clusters secure, observed and upgraded. When Kubernetes is more than you need, we say so.
Do you need Kubernetes?
- 15+Years of team experience
- 20+Enterprise implementations
- 60 minFree Kubernetes and containers review, with a written plan
- 5.0/5Client satisfaction (CSAT)
Proven Success With
5.0/5 CSAT
New to Kubernetes and containers?
What is Kubernetes and containers?
Kubernetes runs many containers across a group of servers: it schedules them, restarts failed ones and scales them with demand.
Managed services such as Amazon EKS, Azure Kubernetes Service and Google Kubernetes Engine run the control plane, so your team runs the workloads.
Where you start
Do you need Kubernetes at all?
Kubernetes adds running costs in people and time. We start from the simplest platform that runs your apps well, and move right only when the need is clear.
Coolify on your own server
An open-source, self-hosted platform that deploys apps and databases from Git.
A handful of apps, a small team, or cost and data-location control.
Managed container service
Azure Container Apps, Amazon ECS on Fargate or Google Cloud Run.
Stateless web apps and APIs without a platform team.
Managed Kubernetes, automated mode
AKS Automatic, Amazon EKS Auto Mode or GKE Autopilot manage the nodes for you.
You want Kubernetes APIs with less node work.
Managed Kubernetes
Amazon EKS, AKS or GKE with node pools your team configures.
Many services, several teams, custom networking or operators.
Self-managed Kubernetes
Clusters you install and run yourself, on your own hardware.
On-premises or edge sites where a managed service cannot run.
What we do
What do our Kubernetes consulting services include?
Eight services. One or several, depending on where your platform stands today.
Containerization
Small, scanned Docker images built in CI.
Cluster setup
EKS, AKS or GKE built as code.
Helm and GitOps
Argo CD or Flux syncing from Git.
Autoscaling and ingress
Pods, nodes, Gateway API and TLS.
Secrets and security
Vault-backed secrets, scans and policies.
Observability
OpenTelemetry, Prometheus and Grafana.
Cluster upgrades
Minor versions kept in support.
Platform fit review
Kubernetes or something simpler.
GitOps
How does a GitOps release reach the cluster?
Git holds the desired state of every cluster. Nobody runs kubectl against production by hand; Argo CD or Flux applies what was merged.
- Developer
- CI pipeline
- Image registry
- Config repository
- Argo CD or Flux
- Cluster
- Developer to CI pipeline: Merges a code change
- CI pipeline to Image registry: Builds, tests and scans the image
- CI pipeline to Config repository: Opens a pull request with the new image tag
- Developer to Config repository: Reviews and approves the change
- Argo CD or Flux to Config repository: Detects the merged change
- Argo CD or Flux to Cluster: Applies the new desired state
- Cluster to Argo CD or Flux: Reports health and sync status
- Argo CD or Flux to Developer: Flags drift or a failed rollout
Cluster stack
What sits in a production Kubernetes cluster?
Your apps sit on top of several layers of platform software. Each layer is installed as code and upgraded on a plan.
- Deployments
- Helm charts
- Jobs and CronJobs
- Horizontal Pod Autoscaler
- Gateway API
- cert-manager
- External Secrets Operator
- Argo CD or Flux
- OpenTelemetry
- Prometheus
- Grafana
- Cloud-native logging
- Managed control plane
- Node pools
- Karpenter or Cluster Autoscaler
- Network and subnets
- Cloud identity
- Container registry
- Key management
Cluster upgrades
How do you keep clusters on supported Kubernetes versions?
Kubernetes ships about three minor releases a year, and each gets about a year of patches. Managed services set their own support windows, and some charge for extended support.
TodayA cluster nearing the end of its version support
- In place
One minor version at a time
Deprecated APIs found and fixed, add-ons updated, then control plane and node pools upgraded.
Most clusters, with a staging cluster upgraded first.
- New cluster
Blue-green cluster
A new cluster built on the target version, workloads synced by GitOps, traffic moved across.
Several versions behind, risky add-ons or a network redesign.
- Gateway API
Ingress NGINX replaced
Ingress rules moved to Gateway API routes on a maintained controller.
You still run Ingress NGINX, which stopped receiving fixes after March 2026.
Production readiness
What does a Kubernetes production readiness review check?
Grouped by area. Each item is marked pass or fix in the written report, with the fix explained.
Workloads
- Resource requests and limits set
- Readiness and liveness probes
- Pod disruption budgets
- Autoscaling tested under load
Security
- Images scanned and from trusted registries
- Pod Security Standards enforced
- Network policies between services
- Secrets kept out of Git and manifests
- Role-based access with least privilege
Operations
- Metrics, logs and traces collected
- Alerts routed to an on-call person
- Backups and a tested restore
- Version support dates and an upgrade plan
- Cost visible per namespace or team
How it runs
How does a Kubernetes engagement run?
Four stages. The written proposal states the scope and milestones before anything starts.
- 01
Assess
Know what you run.
- Apps, clusters and pipelines reviewed
- Platform fit decided
- Readiness findings listed
- 02
Build the platform
Clusters as code.
- Cluster and add-ons in Terraform or OpenTofu
- GitOps set up
- Observability and alerts
- 03
Move workloads
One service at a time.
- Images and Helm charts
- Staging first, then production
- Rollback tested for each
- 04
Run and hand over
Your team owns it.
- Runbooks and training
- Upgrade calendar
- Monthly plan, if you want one
Cost and timing
What it costs and how long it takes
The review is free
A 60-minute architecture review of your container and Kubernetes 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
Kubernetes and containers, answered.
Straight answers about when to use Kubernetes, managed clusters, GitOps and upgrades.
Packaging apps as Docker images and running them on Kubernetes or a simpler container platform, with GitOps, autoscaling, security, observability and upgrades set up and documented.
For a few stateless apps and a small team, a managed container service or a self-hosted platform such as Coolify is usually easier to run. Kubernetes pays off with many services and teams.
Usually the one on the cloud you already use. All three run upstream Kubernetes. Each also has an automated mode: EKS Auto Mode, AKS Automatic and GKE Autopilot.
Kubernetes ships about three minor releases a year, each with about a year of patches. As of November 2026 the project maintains 1.35, 1.36 and 1.37.
Both are CNCF graduated GitOps tools. Argo CD has a built-in web interface. Flux has none and is driven entirely from Git. We use whichever your team prefers.
Yes. The Kubernetes project retired it after March 2026, so it gets no more security fixes. We move your routes to Gateway API or another maintained controller.
Ask to see the cluster code, runbooks and readiness report a team would leave behind. Our free 60-minute review gives you a written plan you can compare.
Kubernetes is a registered trademark of the Linux Foundation. Docker is a trademark of Docker, Inc. Amazon EKS, Amazon ECS and AWS Fargate are trademarks of Amazon.com, Inc. or its affiliates. Azure and AKS are trademarks of Microsoft Corporation. Google Kubernetes Engine and Cloud Run are trademarks of Google LLC. Argo, Flux, Helm, Prometheus and OpenTelemetry are projects of the Linux Foundation. Grafana is a trademark of Grafana Labs. Coolify is a trademark of its owner. SynconAI is an independent consulting firm and is not affiliated with or endorsed by these organizations.
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