Both tracks · Cloud, web and apps
Google Cloud and Oracle OCI consulting, migration and DevOps
Infrastructure nobody has to remember how to rebuild.
Overview
Overview
ByteKnot Labs designs, migrates and runs infrastructure on Google Cloud and Oracle Cloud Infrastructure (OCI): landing zones, moves off single servers and on-premises racks, containers on Cloud Run, GKE or OKE, managed MySQL and Autonomous AI Database, GPU compute for private model serving, Terraform for every environment, CI/CD, monitoring and monthly cost reviews. Everything lives in your own accounts from the first week.
Google Cloud · Oracle OCI · Terraform
You probably need this if
- Production runs on one server that someone configured by hand years ago.
- Your cloud bill grows every month and nobody can say why.
- You need GPUs for an AI workload but cannot send data to a third party.
- There is no staging environment, so production is the test.
- You are moving out of a data centre and want a plan you can rehearse.
Approach
How we build it.
- 01
A written recommendation, not a default
Google Cloud is usually the shortest path from an AI prototype to a running service. OCI often fits Java and MySQL workloads and Oracle agreements. We put the reasoning on paper.
- 02
Everything as code
Every environment is Terraform, reviewed in pull requests. Nothing depends on a console setting someone remembers.
- 03
Pipelines for every change
Tests, builds and deployments run on every merge, with a staging environment that matches production.
- 04
Watched and costed
Logs, metrics, traces, alerts and a monthly cost review, so problems and spend surprises show up early.
Deliverables
What you get.
- Cloud architecture and landing zone: projects or compartments, IAM, networking
- Migration plan with a rehearsed cut-over and a way back
- Containers on Cloud Run, GKE, OCI Container Instances or OKE
- Managed databases: Cloud SQL, MySQL HeatWave, Autonomous AI Database
- GPU compute and model-serving infrastructure for private inference
- Every environment as Terraform, reviewed in pull requests
- CI/CD with GitHub Actions and Cloud Build
- Logging, metrics, alerting, uptime checks and monthly cost reviews
Stack
What we build it with.
Chosen per project, benchmarked where it matters, and all of it something your team can run after us.
- Google Cloud
- Cloud Run
- GKE
- Cloud SQL
- Gemini Enterprise Agent Platform
- Oracle OCI
- OKE
- MySQL HeatWave
- Autonomous AI Database
- Oracle Database@Google Cloud
- Kubernetes
- Terraform
- OpenTofu
- Docker
- GitHub Actions
- OpenTelemetry
- Grafana
Typical builds
What this looks like in practice.
Lift off a single server
Move an application to managed containers and a managed database, with backups that are tested.
Private AI environment
GPU compute and model serving inside your network for data that cannot leave it.
Oracle Database on Google Cloud
Keep Oracle Database and run it inside Google Cloud, next to Google's AI and analytics services.
Disaster recovery
Multi-zone or multi-region setup with a recovery plan that has been rehearsed.
Cost clean-up
Find and remove the spend that grew without a plan, then keep it down.
How a project runs
Process
Discover, then Design, then Build, then Launch and hand over. A working build every week, on a staging environment in your cloud.
How a project runsTerms
Code in your GitHub, infrastructure in your cloud, nothing trained on your data, and everything yours when we leave.
Read the termsFAQ
Cloud and DevOps: questions
Last reviewed
Google Cloud or Oracle OCI: which should we choose?
Google Cloud when you want Gemini and the Gemini Enterprise Agent Platform (formerly Vertex AI), BigQuery, Firebase and a wide range of managed services. OCI when you run Java and MySQL or Oracle Database at scale, want Autonomous AI Database or HeatWave, or have Oracle agreements or credits. Oracle Database@Google Cloud lets some teams use both. We give a written recommendation after seeing your workload.
Do you implement Oracle Fusion, NetSuite or E-Business Suite?
No. We work on Oracle Cloud Infrastructure: compute, networking, Kubernetes, MySQL HeatWave, Autonomous AI Database and the applications we build on them. For Fusion or NetSuite configuration you need an Oracle applications partner, and we are happy to work alongside one.
How long does a cloud migration take?
It depends on how many systems move, how tightly they are coupled and how much downtime you can accept. We start with an assessment that lists every system, its dependencies and a cut-over plan, and give a date and a price for each phase. Every phase is rehearsed on a copy before the real move.
What will our cloud bill be?
We estimate the monthly bill from your expected usage before you commit, price both clouds where either could work, and review the bill with you every month after launch.
Who owns the cloud accounts?
You do. We build inside your billing account and your organisation, and hand over Terraform and documentation so nothing depends on us.
Do you work with AWS or Azure?
Our depth is in Google Cloud and Oracle OCI. If you are committed to AWS or Azure we will tell you honestly whether we are the right fit, and we can still build the application layer.
Do you offer ongoing operations?
Yes. A monthly retainer covers monitoring, upgrades, incident response and cost reviews for the systems we built or inherited.
Often paired with
Agents, RAG and LLMs
Agents, retrieval systems and private or fine-tuned models, tested on your real cases and deployed on your infrastructure.
ExploreJava modernisation
Legacy Java and Spring Boot moved to supported versions in small, tested steps, without a rewrite.
ExploreTaking on new projects
Planning work on Cloud and DevOps? Let's talk.
A short call, a written brief, and a straight answer on scope, price and timeline before any work starts. NDA first if you need one.