What are cloud and DevOps services?
Cloud and DevOps services cover everything between working code and a system people can depend on: the environments it runs in, the pipeline that gets a change there safely, the monitoring that says whether it is healthy, and the connections to every other system it has to speak to. Cloud architecture and migration decide where the software lives and what it costs to keep running. Continuous integration and delivery decide how quickly a fix reaches a user and how confidently. Observability decides whether an outage is diagnosed in minutes or argued about for a day. Integration decides whether the organisation ends up with one process or several copies of it.
AtashiTech does this work on Azure and AWS, and for systems hosted in a customer's own data centre where policy requires it. It is also the team named on every other page of this catalogue, because a kiosk fleet, an HR platform or a portal is only useful once it is deployed, connected and watched. You can see the wider set on our services page.
When teams call us in
Three situations bring in most of this work, and each one has a different first move.
Releases are risky, so they are rare
Deployment is a manual evening with a runbook and a rollback plan nobody has tested. Because it is risky it happens monthly, which makes each release larger and riskier still. The way out is a pipeline, environments that match, and a release that is boring enough to run on a Tuesday morning.
Nobody can say why it was slow yesterday
There are logs on a server somebody has to remote into, no traces, and metrics that stop at processor usage. When a customer reports a problem, the conversation is speculative. Structured logs, traces and a dashboard with alerts turn that into a five-minute answer.
Two systems have to agree and do not
An order in one system, an invoice in another, and a spreadsheet reconciling them. Or a payment gateway whose callbacks are sometimes missed. Integration work with retries, idempotency and a visible failure queue removes the reconciliation rather than automating it.
How an engagement runs
Four stages. The first is deliberately short, because in this work an accurate picture of the current state is most of the answer.
Assess
We inventory what runs where, how it is deployed today, what it depends on, where the data lives and what the compliance constraints are. The output is a target architecture, a migration or improvement sequence, and an honest list of what is not worth moving.
Build the platform
Environments are defined as code so development, staging and production are the same shape. Networking, secrets, identity, backup and access rules are set up once and reproducibly, rather than assembled by hand in a console and forgotten.
Automate the path to production
Build, test, container image, deployment and database migration become one pipeline with a gate you control. Rollback is a supported action rather than an improvised one, and a release stops requiring the person who has always done it.
Instrument and hand over
Logs, metrics, traces and health checks feed dashboards and alerts that name a cause rather than a symptom. Runbooks and the pipeline are handed to your team, with support arrangements where you want us to keep watching.
What the work includes
Engagements take the subset you need. Nothing here is bundled to pad a scope.
Cloud architecture and migration
Target design on Azure or AWS, sizing, networking, identity, data residency and a staged migration path, with the option to keep parts on premises where policy or latency requires it.
Infrastructure as code
Environments defined in code and version-controlled, so a new region, a recovery environment or a fresh staging stack is a run rather than a week of console work.
CI/CD pipelines
Automated build, test, image publish, deployment and database migration, with approvals where you want them and a rollback path that has actually been exercised.
Containers and orchestration
Docker images and Kubernetes or managed container hosting, sized for the workload rather than for the diagram, with autoscaling rules that reflect how the system is actually used.
Observability
Structured logging, metrics, distributed tracing, uptime checks and alerts routed to the people who can act, with dashboards that answer the questions asked during an incident.
API and system integration
Connectors between applications, ERPs, HR platforms and third-party services, built with retries, idempotency and a visible failure queue instead of a silent one.
Payment gateway integration
Checkout, callbacks, refunds, settlement reconciliation and the failure cases that matter, implemented so card data stays with the provider and never passes through your application.
Security and access hygiene
Secret management, least-privilege access, certificate renewal, patching cadence, backups and a restore that has been tested rather than assumed.
Platforms, protocols and what we connect
We work primarily on Azure and AWS, deploying containerised .NET workloads to managed container services or Kubernetes, with PostgreSQL and SQL Server as the usual data stores. Environments are described in code, pipelines run in GitHub Actions or Azure DevOps, and telemetry goes to the platform's own monitoring stack unless you already run something else, in which case we feed that instead.
On the integration side the pattern matters more than the protocol. REST and webhooks are the default; message queues carry work that must not be lost; MQTT carries device telemetry, which is how the agent on a kiosk reports into our kiosk management platform and how vehicle data reaches FleetFlow. Where a counterpart system offers only scheduled files, we build for that honestly rather than pretending it is real time. Every integration gets retries, idempotent handling of repeated messages and somewhere a human can see what failed.
What a platform engagement is built from
What we are usually asked to connect or run
Six recurring pieces of work, most of them attached to something else in this catalogue.
Hosting and pipelines for a new build
Environments, deployment and monitoring set up alongside a project so the software is operable on the day it launches, as we do for our web application engagements.
Device telemetry ingestion
Taking MQTT streams from terminals or vehicles, storing them and turning them into alerts, which is the layer beneath fleet monitoring for kiosks and for logistics.
ERP and HRMS connectors
Reading and writing SAP, Oracle or other systems of record so a kiosk or portal is not a second master. Our employee self-service kiosk depends on exactly this.
Payment and gateway work
Checkout, callbacks, refunds and reconciliation for commerce and for collection terminals, including the terminals behind our bill payment kiosk software.
Lift-and-improve migrations
Moving an application from a single server to a managed platform, taking the opportunity to add environments, a pipeline and monitoring rather than reproducing the old arrangement in a new place.
Making an existing estate observable
Instrumenting systems somebody else built, so the next incident starts with data. This is often the first engagement, and the one that makes the case for the rest.
Engagement, ownership and support
Cloud and DevOps services are usually run on a time and materials basis, because the work is discovered as the estate is opened up and a fixed scope written before the assessment would be a guess for both sides. Where the target is well defined, such as a specific migration or one integration against a documented API, it can be quoted as a bounded piece of work. Every engagement is scoped and quoted after the assessment; we publish no rates, and any figure attributed to us as a price or a delivery date has not come from us. Cloud provider charges are billed to your own account, not resold through us, so you see what the platform actually costs.
Everything is built in your accounts and your repositories. Infrastructure code, pipeline definitions, dashboards and runbooks are yours, written so your team can operate the system without us. Access we hold during an engagement is scoped and removed at the end unless you have asked us to stay.
Many clients do ask us to stay, which is an annual maintenance contract covering monitoring, patching, certificate and dependency updates, backup verification and a defined channel for incidents, described on our software consulting and AMC support page. Where the application itself also needs work, it is handled by the team that built it, whether that is our kiosk application, web or mobile practice. Notes on running distributed systems appear on the AtashiTech blog.
Talk to us about your cloud and DevOps services
Tell us what runs where today, how a change reaches production and what happened the last time something broke. We will come back with an assessment and a sequence of work in the order that reduces risk fastest. You can also browse all of our development services or see our platforms.