Activación·Web// Tech Agency · est. 2015You choose where every piece lives.
Public cloud on AWS and Google Cloud Platform, our own servers in US and Mexican datacenters, or a deliberate mix of both. With monitoring, tested backups and an SLA that names actual numbers.
Cloud, dedicated, or both on purpose
The answer depends on where your data must live, how spiky your traffic is and whether you would rather pay for machines or for not thinking about machines.
The right answer when traffic is spiky, when you need to be near your users in several regions, or when managed services save you more engineering time than they cost. We build it so the bill stays legible.
- AWS and Google Cloud Platform, with Cloudflare in front
- Autoscaling sized to real traffic, not to fear
- Managed databases with automated backups
- Cost review every month — cloud bills drift silently
Our own hardware in US and Mexican datacenters. The right answer when your data must stay in a specific country, when the workload is steady enough that per-use pricing stops making sense, or when a regulator asks where the machine physically is.
- Data residency you can point at on a map
- Fixed monthly cost, no surprises at the end of the month
- cPanel or bare infrastructure, whichever you need
- Physical and network access under our control
Sensitive data and steady workloads on dedicated hardware; burst capacity, CDN and global edge on public cloud. Most companies past a certain size end up here, and it is worth designing on purpose rather than arriving by accident.
- Private database, public front end
- Disaster recovery in a different provider than production
- Traffic routed by geography and by cost
- One monitoring pane across both worlds
What we run day to day
None of this is exotic. What matters is that it is set up so a person can sleep through the night.
Kubernetes and Docker
Orchestration sized to your team, not to a conference talk
CI/CD pipelines
GitHub Actions and GitLab, with rollback that works
Databases
PostgreSQL, MySQL, MongoDB, Redis
REST and GraphQL APIs
Versioned, documented, rate-limited
Mobile and web backends
Node, Go and Python built for app traffic
CDN and edge caching
Cloudflare in front of everything
WAF and DDoS mitigation
Especially for regulated clients
Private VPN
Access to internal systems without exposing them
Geo-replicated backups
Restore tested, not assumed
Disaster recovery
RTO under 4 hours, written into the SLA
24/7 monitoring
Alerting that reaches a human, not a dashboard nobody watches
Migrations
Between providers, with a rollback plan before we start
Three ways to contract this
The difference is who holds the pager at three in the morning.
We design and build the infrastructure, document it and hand it over. Your team runs it from there. Best when you already have people who can operate what they are given.
We run it: monitoring, patching, backups, incident response, capacity planning. A defined SLA and a monthly report. Best when you would rather your engineers built product.
Engineers working alongside your team on your board and in your standups. Best for sustained platform work where context matters more than tickets.
What a technical buyer asks first
Especially the one about where the data physically sits.
Yes. We run our own servers in US datacenters, and both AWS and Google Cloud let us pin a region. Data residency is agreed and written down before we build anything.
Uptime, response time by severity, and a recovery objective under four hours for disaster scenarios. The specific numbers go in the contract rather than a marketing page, because they depend on the architecture you choose.
Yes, and we start with an audit rather than a migration. Sometimes what exists is fine and only needs monitoring; sometimes it needs rebuilding. We tell you which before you commit budget.
Dedicated wins on steady, predictable workloads; cloud wins on spiky traffic and on avoiding operational work. We model both against your actual usage before recommending, because the honest answer changes per case.
Tell us what wakes you up at night
Cost, uptime, a migration you have been postponing, or a regulator asking where the data lives.