Step 1: Audit
Review of infrastructure, costs, security and release process.
Cloud & DevOps ExpertsGoogle Cloud Datastore Services
Google Cloud Datastore and Firestore applications that scale with demand - modelled, built and optimized by our cloud team.
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Challenges & solutions
Pick the one that sounds like you. Here's how we solve it.
Automated CI/CD pipelines with tests and rollbacks.
Right-sized resources and clear cost tracking.
Redundancy, auto-scaling and fast recovery.
Metrics, logs and alerts in one place.
How we build
Secure, automated, cost-efficient infrastructure - delivered in five stages.
Review of infrastructure, costs, security and release process.
A cloud design built for reliability and scale.
Infrastructure as code and CI/CD pipelines.
Planned moves with testing and rollback.
Monitoring, cost control and ongoing DevOps support.

Deep expertise
Datastore, now Firestore in Datastore mode, gives apps a fully managed NoSQL database that scales without servers. We model entities and indexes around your queries, build on App Engine and Cloud Run, and migrate older Datastore apps to Firestore.
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Why Bytecode
Crafting exceptional experiences is at the core of what we do. Our team combines creativity, research and industry-leading practices to build products that are intuitive, engaging and results-driven.
We prioritize your users at every stage of the process.
Modern, creative work tailored to your industry and goals.
We work closely with you to align every build with your vision.
From idea to launch and beyond, one team covers it all.
FAQ
Everything you need to know about Google Cloud Datastore with Bytecode. Can't find what you're looking for? Our team is one message away.
Datastore now runs as Firestore in Datastore mode; we help you choose the right mode.
Yes - usually through better data modelling and composite indexes.
It depends on your queries. Datastore suits apps with high read and write volumes and predictable access patterns, such as user profiles or catalogs. If you need complex joins or ad hoc reporting, a relational database may serve you better.
Yes, though not directly inside Datastore. We export data to BigQuery on a schedule or through a pipeline, so your team can run SQL reports and dashboards without slowing down the live application.
Mainly the number of reads, writes and deletes, plus stored data and indexes. We design entities and indexes to avoid unnecessary operations and add caching where it helps, so costs grow in line with real usage.
Yes. Datastore works with Cloud Run, GKE and other Google Cloud services, not just App Engine. We update the client libraries, containerise the app and shift traffic gradually, while your data stays where it is.
We work across AWS, Azure and Google Cloud and recommend one based on your stack, team and budget.
Yes - from on-premise or another provider, with a phased, tested plan.
Yes, where they fit. We also keep simpler setups simple.
Usually. Right-sizing, scheduling and pricing plans often cut waste noticeably.
Yes - monitoring, patching, releases and on-call support.
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