Cloud & Modernization

Modernize Google Cloud on Google's own frameworks — by engineers who run Kubernetes.

Assess with Google's own discovery tooling, build the landing zone, migrate in sequenced waves, then run cost and reliability against the Well-Architected Framework's six pillars — one senior team, start to finish.

Talk to a cloud architect

Credentials

Google Cloud Premier Partner

Google Cloud Data Analytics specialization

Google Cloud Machine Learning specialization

Elastic Generative AI Partner

Looker Consulting Partner

Method

We run modernization on Google's own migration and reliability frameworks.

Modernization is a sequence of decisions — what changes, what stays stable, who operates it, how cost stays visible. SquareShift runs that sequence against Google's published framework, phase by phase, not an improvised playbook.

Assess

Inventory workloads and dependencies with Google Cloud's Migration Center, then score each one against Google's migration strategies — rehost, replatform, refactor, re-architect — to decide what actually needs to change.

Plan

Design the landing zone: identity, resource hierarchy, network topology, and security baselines, before any workload moves.

Deploy

Migrate in sequenced, rollback-ready waves, workload by workload.

Optimize

Run cost, performance, and reliability against the Well-Architected Framework's six pillars — operational excellence, security, reliability, cost, performance, sustainability — once workloads are live.

Engineering depth

Kubernetes and DevOps, run by the same engineers who operate them in production.

The Deploy and Optimize phases lean on real Kubernetes and DevOps depth, not a subcontracted skill.

Certified Kubernetes engineers run production workloads on Google Kubernetes Engine (GKE) today.

In productionA production Elasticsearch cluster running on GKE for a global professional-services firm, with RBAC and Field/Document-Level Security designed in from day one.

App modernization runs on GKE Enterprise for workloads moving from a monolith to containers, with fleet management across clusters.

DevOps rigor is measured, not assumed.

MethodSquareShift instruments and improves the same Four Keys DORA uses industry-wide — deployment frequency, lead time for changes, mean time to recovery, and change failure rate.

What SquareShift builds

SquareShift builds the platform each phase requires.

Google Cloud migration

Landing zones, migration waves, and a cutover/rollback plan for the workloads that are moving.

Cloud foundations

Identity, networking, infrastructure-as-code, security baselines, and observability set up before workloads land, not after.

Managed cloud operations

A senior escalation layer that runs the platform after go-live, backed by the same SRE discipline SquareShift already runs for enterprise Elastic Cloud and Kubernetes clients.

Cloud FinOps

Cost tagging, accountability, and tradeoff visibility so spend maps to a decision, not a surprise.

Data and warehouse modernization

Storage, pipeline, cost, and performance work on the platform itself.

For the metric model, semantic layer, and Looker/BI layer, see Data, Analytics & BI →

Ways to start

Four ways to start, matched to what you need first.

Cloud readiness and migration assessment

Scope the workloads, risk, and sequencing, using Migration Center discovery, before committing to a migration plan.

Google Cloud foundation review

Check identity, networking, security, and billing foundations against production readiness.

FinOps and cost-visibility sprint

Get spend tagged, attributed, and visible before the next budget cycle.

Data-platform modernization assessment

Scope the storage, pipeline, and platform-cost work a modernization program actually needs.

Talk to a cloud architect

Selected outcomes

Migration, operations, and cost outcomes at Google Cloud scale and beyond.

This track record spans native Google Cloud migration scale, Kubernetes delivery, and Elastic Cloud migration discipline — real engagements, not pilot programs.

70+TBSnowflake estate migrated to BigQuery

<10sDashboard refresh, down from a 4–6 hour ETL lag

60%Frozen-tier storage cost cut, Elastic Cloud version upgrade

17,000+Cost tags tracked in the FinOps self-service portal

20Production hosts re-platformed, zero downtime

Migration

Snowflake to BigQuery migration. A SaaS applicant-tracking and recruiting platform moved a 70+TB, 4–5 billion-events-per-week Snowflake estate to BigQuery, cutting a 4–6 hour ETL lag to under 10 seconds.

Read the case study Migration

Elasticsearch 1.x to 8.x migration. A logistics firm's 7TB+ Elasticsearch estate moved from version 1.x to 8.x onto Elastic Cloud, cutting frozen-tier storage cost 60%, with downtime capped at 3 hours.

Read the case study Engineering

Solr to Elasticsearch migration on GKE. A global professional-services firm's legacy Solr estate moved to Elasticsearch on Google Kubernetes Engine, with RBAC and Field/Document-Level Security designed in from day one.

Read the case study Engineering

Bespoke computer-vision plan-review application. SquareShift delivered a computer-vision plan-review application from scratch for a U.S. government regulatory body, showing the team can deliver bespoke software, not only platform moves.

Read the case study Cost / FinOps

FinOps self-service tagging portal. A global semiconductor and enterprise-software company got a self-service tagging portal with 3,000+ metadata entries and 17,000+ tags, built on Google Cloud Functions, so engineering teams see cost tradeoffs before the bill arrives.

Read the case study Operations

Zero-downtime platform re-platforming. A global banking group re-platformed 20 production hosts with zero downtime and zero data loss, using a DR-first, phased, rollback-ready sequence.

Read the case study

The same serverless Google Cloud rebuild discipline — clustering, partitioning, incremental processing — also underpins our AWS-to-Google-Cloud analytics migrationand BigQuery optimization work.

Next step

Bring one workload, one migration question, or one cost concern.

Leave with a scoped plan, not a broad transformation promise.

Book a cloud modernization working session Talk to a cloud architect

See all five SquareShift practices