Kubernetes & Managed Database Services
Production-grade managed Kubernetes and database-as-a-service on Dollu cloud - clusters, registry and CI/CD integration, plus PostgreSQL, MySQL, MongoDB and Redis with HA, backups and monitoring, run by engineers who are on call so yours are not.
99.95%
Control-plane and database SLA
< 10 min
Cluster or database provisioning
5
Regions with private networking
What is Kubernetes & Managed Database Services?
Dollu Kubernetes & Managed Database Services give development teams a production-ready platform without building and staffing one. We run CNCF-conformant Kubernetes clusters on Dollu cloud infrastructure in Mumbai, Singapore, Frankfurt, London and Ashburn - or on your own edge and private-cloud hardware - with a highly available control plane, automated upgrades, node auto-scaling, a private container registry and integrated ingress, storage, secrets and observability. Alongside, our database-as-a-service provisions PostgreSQL, MySQL, MongoDB and Redis in minutes with replication, automated backups, point-in-time recovery and monitoring already configured.
Both services are designed for teams that ship continuously. Clusters integrate with GitHub Actions, GitLab CI, Jenkins, Argo CD and Flux out of the box, so a merge to main can build an image, push it to the registry, scan it and roll it out with progressive delivery. Databases expose standard endpoints and connection pooling, so an application moved from a laptop or a hyperscaler needs no code changes. Everything is also available through the Dollu API, Terraform provider and CLI, and via the portal for teams who prefer to click through a wizard.
Reliability is handled at the platform layer. Control planes are spread across availability zones with etcd backups every 15 minutes; worker pools can span zones and mix general-purpose, memory-optimised and GPU nodes. Databases run as primary-replica or multi-primary clusters with automatic failover in under 30 seconds, daily encrypted backups retained for up to 35 days, and cross-region replicas for disaster recovery. Private networking connects clusters, databases, object storage and your on-premises estate over Dollu MPLS, cloud connectivity or IPsec, so application traffic never has to traverse the public internet.
What sets the service apart is the operating model. Dollu's DevOps and database engineers work as an extension of your team: 24×7 monitoring and incident response, monthly patch and upgrade windows agreed with you, capacity and cost reviews, performance tuning, schema and query advice, and hands-on help with Helm charts, service meshes and migrations. Pricing is per node-hour and per database instance with no control-plane fee, and data stays in the region you choose under ISO 27001 and SOC 2 controls, meeting GDPR and Indian data-localisation requirements.
Why choose Dollu for kubernetes & dbaas.
The advantages of buying from a carrier that owns its network, interconnects and operations - rather than a reseller.
Ship faster with fewer platform engineers
Clusters, registries, ingress, secrets and observability arrive configured and maintained, so your engineers write application code instead of running etcd and patching nodes.
Databases that stay up and stay backed up
Replication, automatic failover, encrypted backups and point-in-time recovery are on by default and tested by our DBAs, not left as a project for later.
Portable by design
Upstream Kubernetes, standard database engines and open tooling mean workloads move between Dollu regions, your own hardware and other clouds without rewrites or proprietary lock-in.
Data where you need it to be
Choose Mumbai for Indian data-localisation, Frankfurt for GDPR, London or Ashburn for UK and US requirements, or Singapore for APAC; nothing leaves the region unless you configure it.
Predictable cost
Per node-hour and per instance pricing with no control-plane charge, generous included egress and free traffic between Dollu regions and services, reviewed with you every quarter.
Capabilities in detail.
Everything included with Kubernetes & Managed Database Services - the platform features, options and controls you get from day one.
- 01
Managed Kubernetes clusters
Current and N-2 upstream Kubernetes versions, HA control plane across availability zones, automated minor and patch upgrades in agreed windows, RBAC integrated with your identity provider and cluster-level audit logging.
- 02
Node pools and auto-scaling
Multiple pools per cluster mixing general-purpose, compute-optimised, memory-optimised, NVMe-local and GPU nodes; cluster autoscaler and horizontal and vertical pod autoscaling; spot-style preemptible pools for batch workloads.
- 03
Container registry and supply-chain security
Private OCI registry per tenant with geo-replication, image vulnerability scanning, signing and admission policies, retention rules and pull-through caching of public registries to keep builds fast and traffic private.
- 04
CI/CD and GitOps integration
Pre-built pipelines and runners for GitHub Actions, GitLab CI and Jenkins; managed Argo CD or Flux for GitOps; canary and blue-green rollouts with automatic rollback on failing health checks or SLO breaches.
- 05
Managed PostgreSQL and MySQL
Multiple supported major versions, primary-replica clusters with synchronous or asynchronous replication, read replicas, connection pooling, extensions including PostGIS and pgvector, and zero-downtime minor upgrades.
- 06
Managed MongoDB and Redis
MongoDB replica sets and sharded clusters, Redis in replicated, Sentinel and cluster modes with persistence options, TLS everywhere, and sizing from a single small instance to multi-terabyte deployments.
- 07
High availability, backup and disaster recovery
Multi-zone deployments with automatic failover, daily encrypted backups and continuous WAL or oplog archiving for point-in-time recovery to any second within 35 days, cross-region standby replicas and regular restore testing.
- 08
Networking, ingress and private connectivity
Private VPCs, managed ingress with TLS termination and WAF option, network policies, service mesh option, DDoS-protected anycast load balancing and private paths to on-premises via Dollu MPLS, SD-WAN, cloud connectivity or IPsec.
- 09
Observability and DevOps support
Prometheus, Grafana and Loki stack per cluster, database metrics and slow-query insights, alerting to your channels, and a named DevOps and DBA team for tuning, migrations, incident response and architecture reviews.
How it works.
From first conversation to live traffic - a tracked, engineer-led onboarding with a named owner at every step.
- Step 01
Design
A short architecture workshop covers workloads, regions, data residency, connectivity and pipelines. We return a reference design with cluster and database sizing and transparent monthly pricing.
- Step 02
Provision
Clusters, registries and databases are created from the portal, API or Terraform in minutes, wired to your identity provider, private network and observability from the start.
- Step 03
Migrate and integrate
Our engineers connect your CI/CD, migrate images, Helm charts and data with logical replication or dump-and-restore, and run parallel testing until cut-over.
- Step 04
Operate
24×7 monitoring, agreed patch windows, capacity and cost reviews and hands-on tuning continue for the life of the service, with a named team who know your stack.
Who uses this and why.
Typical deployments across carriers, enterprises, platforms and contact centres.
SaaS and digital product companies
Multi-region Kubernetes and databases for API-driven products, with GitOps delivery, autoscaling and predictable costs as customer numbers grow.
Telecom, CPaaS and contact-centre platforms
Run SBCs, media servers, messaging gateways and analytics on clusters that sit on the same backbone as Dollu voice, SMS and numbering services.
E-commerce, fintech and payments
Highly available PostgreSQL and Redis behind autoscaling front ends, with PCI-aligned network isolation, encrypted backups and failover tested before peak season.
Data and AI workloads
GPU node pools, pgvector and MongoDB for embeddings and features, and private paths to object storage for training and inference pipelines close to your data.
Enterprises modernising applications
Move monoliths and legacy databases from on-premises hardware to managed containers and DBaaS in stages, connected privately to the existing estate throughout.
Regulated and data-localised deployments
Keep clusters and data in Mumbai, Frankfurt or London to satisfy RBI, GDPR or UK requirements, with audit logs and access controls ready for review.
Technical & commercial specifications.
Key parameters at a glance. Ask us for the full service description and SLA document.
| Kubernetes | CNCF-conformant; current and N-2 versions; HA control plane, no control-plane fee |
|---|---|
| Nodes | General-purpose, compute, memory, NVMe-local and GPU pools; autoscaling; preemptible option |
| Registry | Private OCI registry, vulnerability scanning, image signing, geo-replication |
| Databases | PostgreSQL, MySQL, MongoDB, Redis; multiple supported major versions |
| High availability | Multi-zone; automatic failover under 30 s; read and cross-region replicas |
| Backups | Daily encrypted backups; PITR up to 35 days; restore testing |
| Networking | Private VPC, managed ingress, WAF option, MPLS/SD-WAN/IPsec on-ramps |
| Storage | Replicated NVMe block volumes, S3-compatible object storage, snapshots |
| Regions | Mumbai, Singapore, Frankfurt, London, Ashburn; on-premises and edge option |
| SLA and support | 99.95% control plane and database; 24×7 DevOps/DBA; P1 response ≤ 15 min |
How Cloud is priced.
Cloud and hosting are priced per resource - compute, storage, network egress, backup volume - with managed-service tiers on top. Migrations and DR projects are quoted as fixed scope.
We publish the model, not a public rate card - actual rates depend on destination, route class, volume and regulatory cost. See how every Dollu service is priced.
- Per resource: compute, storage, egress, backup volume
- Managed-service tiers per environment
- Reserved-capacity discounts on 12–36 month terms
- Migration and DR projects as fixed-scope quotes
- Billing
- Monthly recurring plus metered usage; itemised resources on every invoice
- Commitment
- On demand, or reserved for 12–36 months
Kubernetes & DBaaS - your questions answered.
The questions customers and carriers ask us most often before they interconnect. If yours is not here, our team answers within one business day.
Still have a question?
Ask our solutions teamRelated services.
Services customers commonly combine with Kubernetes & Managed Database Services.
Get a reference design in a week.
Share your workloads, data volumes and regions and we will return a cluster and database design with sizing, connectivity options and transparent monthly pricing.
