We build the cloud infrastructure that keeps your software stable, secure and scalable: an automated, observable and reversible flow from code change to production release.
DevOps and cloud are not just about writing software; they are about releasing it safely, monitoring it and keeping it standing under load. A CI/CD pipeline automatically tests every code change and prepares it for release; with Docker your application runs identically in every environment; infrastructure built on AWS, GCP or Vercel can grow and shrink with traffic. Without this layer, even a well-written application wears down under manual deployments, unexplained crashes and midnight interventions.
An off-the-shelf panel or one-click setup is often enough up to a point. When scale grows, when multiple services come into play, and when critical flows such as e-invoicing/GİB or payment integrations must run without interruption, the infrastructure needs to be designed around your requirements. A purpose-built DevOps layer defines — on your terms — which metrics you monitor, how a deployment is rolled back, where backups are kept and who holds access rights.
In our Pan Standard approach, infrastructure is treated like code: deployment steps are documented, environments are reproducible, and changes pass a four-eyes review. The source code and configuration of everything we build remains one hundred per cent yours; cloud accounts are opened in your name. You grow while keeping control, without being locked into a single supplier.
Companies operating systems that must stay online at all times, such as order management, B2B dealer or e-export platforms. For those who need infrastructure that automatically absorbs traffic spikes during campaign periods and grows without outages.
Carpet, machinery, textile and food plants in and around Gaziantep; systems collecting ERP, production tracking (MES) or SCADA data. For those who need shop-floor data flowing without interruption, reports ready every morning and a system that keeps pace with the factory.
Teams releasing every version by hand, intervening on crashed servers at night, with test and production environments blurring into each other. For those who want to automate the process, catch errors before release and make deployments reversible.
Teams taking an application live for the first time. For those who want to start on a solid footing with a properly built cloud foundation, monitoring and backups — and avoid the cost of rebuilding the infrastructure later.
Test and deployment pipelines that run automatically on every push to the code repository. Faulty code is caught before it reaches production; approved changes go live in a single step. Built with GitHub Actions or GitLab CI, with the whole process documented.
We package your application as Docker images so it runs identically across development, test and production environments. For multi-service systems, Kubernetes provides orchestration, automatic restarts and distributed operation.
Infrastructure built to your needs on AWS, GCP or Vercel: servers, database, storage, networking and domain configuration. Accounts are opened in your name and costs are kept transparent from the start.
Configuration that automatically grows capacity when traffic rises and shrinks it when traffic falls. A load balancer distributes requests so a single server issue does not stop the whole system. Infrastructure ready for campaign and seasonal loads.
Dashboards that continuously measure system health, centralised log collection and automatic alerts when thresholds are crossed. You hear about a problem before users feel it, and find the cause quickly in the logs.
SSL/TLS certificates, secure storage of secrets, role-based access and a disciplined update routine. Who can access what is clear; critical credentials live in protected vaults, not in the code.
Automatic, regular backups for databases and files, with the restore procedure tested in advance. In the event of a failure, how much data loss and how much downtime to expect is defined from the outset.
Together we define your software, expected traffic, critical flows (payments, e-invoicing, orders) and the acceptable downtime. If infrastructure already exists, we identify its weak points and build a roadmap towards the target.
The cloud provider, environment structure (development/test/production), network and database architecture are decided. Infrastructure is defined as code (Terraform), so every environment is reproducible and documented.
The application is packaged with Docker and automated test and deployment pipelines are set up. The first end-to-end deployment is run together and the rollback step is proven. The process passes a four-eyes review.
Monitoring dashboards, log collection, alerts, backups and access policies are put into operation. The system goes live in a controlled way, and its behaviour is observed under real load.
After launch, monitoring, updates and performance improvements continue under the agreed SLA. Cost and capacity are reviewed regularly, and documentation is delivered for handover to your team.
Cost depends on the size of the system, the number of services, expected traffic and the required level of availability. We do not quote a fixed list price. After the discovery call we define the scope and present a transparent proposal, and we state cloud-provider usage costs separately and openly from the start.
The timeline depends on the state of the existing software and the complexity of the target infrastructure. A clean setup for a single application takes a different amount of time from a multi-service, auto-scaling system. We share a firm schedule after the discovery phase, with staged milestones.
All of it is yours. The infrastructure configuration, deployment scripts and source code remain one hundred per cent with you. Cloud accounts are opened in your name; billing and ownership sit with you. You are never locked into a single supplier.
Yes. We first review the existing application and assess it for containerisation and portability. We carry out the migration in stages, designed to minimise downtime, with a rollback plan in place. Any improvements required are set out in the discovery report.
Yes. We provide SLA-based maintenance covering monitoring, updates and emergency response after launch. We also provide documentation and handover support so your own team can run the system; our goal is control, not dependency.
Off-the-shelf solutions work up to a certain scale. When you need multiple services, critical integrations (payments, GİB) or high availability, the infrastructure has to be designed around your requirements. A custom setup defines monitoring, security and rollback on your terms — and leaves control with you.
In a 30-minute discovery call we listen to what you need and tell you honestly whether custom development or an off-the-shelf product is the better answer.
ERP software designed around your processes, bringing your entire operation — from production to finance — onto a single backbone. Where the off-the-shelf package falls short, we build a system that fits your factory exactly.
Details →We develop a manufacturing execution system built for your factory — making the shop floor visible in real time, from work orders to OEE, scrap to shifts, running on a PLC/SCADA bridge and shop-floor terminals.
Details →We design the whole chain from sensor to cloud: device firmware, MQTT-based telemetry, edge processing and a remote monitoring panel. Your machines, production line and field equipment come together in a single data stream — and all of the source code stays with you.
Details →We collect a machine's vibration, temperature, current and cycle data, learn its normal operating signature, and catch deviations from that signature before failure occurs. An alert becomes a maintenance work order; the machine's history and the parts used accumulate in the same record.
Details →We build camera-based visual inspection on the production line: surface defects, colour and shade variation, missing parts, label verification and dimensional checks. The work does not begin as a software installation — it begins with feasibility and sample testing.
Details →We generate demand forecasts from order history, seasonality and stock data, and link that forecast to your production and purchasing plans. We sequence work under capacity constraints, calculate safety stock and measure how accurate the forecast actually was.
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