In our previous articles, we explored why Apache Kafka exists and how its architecture is structured. In this third part, we address …
– Data platform architecture and engineering
Design, build and
modernise critical data
platforms.
Baremon helps organisations turn complex data requirements into reliable, scalable
and
maintainable platforms -from storage and cloud architecture to databases, ETL,
streaming,
data warehouses and governance.
– Your challenge is rarely one technology
Complex data problems
require an end-to-end view
A database can be healthy while the platform around it is failing. Storage, integration,
cloud design, data quality, security and operations must work together.
You need a target architecture
Your current environment has grown organically and no longer supports performance, resilience or future business needs.
Data does not move reliably
Fragile integrations, batch windows and unclear dependencies limit delivery speed and data availability.
Your analytical platform must scale
Reporting, real-time analytics and machine learning require a platform designed for changing workloads and data volumes.
You need control and trust
Ownership, security, lineage and recoverability must be built into the platform rather than added after delivery.
– Capabilities
From infrastructure
foundations to trusted business
data
We can take responsibility for a specific technical problem or help you design and deliver
the complete data platform.
Cloud & Infrastructure Architecture
Design cloud, hybrid and on-premises environments that balance resilience, performance, security and operating cost.
- Cloud and hybrid architecture
- Kubernetes and platform services
- High availability and disaster recovery
- Infrastructure assessment and modernisation
Storage, Backup & Recovery
Build storage and protection strategies around workload behaviour, recovery objectives and operational reality.
- Storage architecture and sizing
- Backup and recovery design
- RPO/RTO validation
- Resilience and recovery testing
Database Platforms
Design, operate, optimise and modernise transactional, distributed, document, graph and analytical database environments.
- Architecture and installation
- Administration and health checks
- Performance and capacity tuning
- Upgrades and cross-platform migrations
Data Integration, ETL & Streaming
Move and transform data through reliable pipelines designed for batch, near-real-time and event-driven use cases.
- ETL and ELT architecture
- Data pipeline implementation
- Streaming and event-driven integration
- Data quality and operational monitoring
Data Warehouses & Analytics
Build analytical platforms that deliver consistent, governed and performant data for reporting, analytics and data science.
- Data warehouse and lakehouse architecture
- Dimensional and analytical modelling
- Cloud data platforms
- Query and workload optimisation
Data Governance & Understanding
Make data ownership, meaning, dependencies and usage visible across systems and teams.
- Metadata management and catalogues
- Data lineage and impact analysis
- Governance operating models
- Identity, access and security reviews
– End-to-end data platform
We connect the layers that are usually
designed in isolation
The right architecture is not a collection of products. It is a system in which each layer
supports the reliability, performance and business purpose of the whole platform.
Sources
Applications & systems
Integration
ETL, ELT & streaming
Storage
Object, block & file
Data Platforms
Databases & warehouses
Consumption
BI, analytics & ML
Governance
Security, quality & lineage
– Platform modernisation
Move critical data platforms with controlled risk
We plan and deliver changes across infrastructure, storage, databases, integrations and analytical workloads—not only the database engine.
1
Discover the complete environment
We analyse workloads, data flows, dependencies, operating constraints, recovery objectives and current costs.
Outputs: architecture map, dependency map, risk register and target options.
2
Design the target platform
We select architecture patterns and technologies according to the workload—not according to a preferred vendor.
Outputs: target architecture, sizing, security controls and migration roadmap.
3
Validate before full delivery
Critical assumptions are tested through proofs of concept, representative workloads and recovery tests.
Outputs: benchmarks, compatibility findings and implementation decisions.
4
Build, migrate and stabilise
We implement the platform, migrate data and workloads, validate operations and transfer knowledge to your team.
Outputs: production platform, runbooks, monitoring and handover.
– Why Baremon
Senior specialists
with a platform-wide perspective
The same decision can affect storage, database performance, cloud cost, integration reliability and
analytical users. We evaluate those effects together.
Architecture and implementation
We do not stop at recommendations. We can design, build, migrate, optimise and stabilise the platform.
Direct access to senior experts
Experienced specialists remain involved throughout analysis and delivery.
Technology-independent decisions
We choose tools according to workload, risk, team capability and long-term operating cost.
Production-focused engineering
Resilience, recovery, observability, performance and security are part of the design from the beginning.
Knowledge transfer included
Documentation, runbooks and practical handover help your team operate the resulting environment confidently.
– How we work
A clear route from uncertainty
to an operational platform
01 · UNDERSTAND
Context and constraints
We understand the business purpose, workloads, teams, dependencies and operational limits.
02 · ARCHITECT
Options and decisions
We compare realistic designs and document trade-offs, risks and expected outcomes.
03 · DELIVER
Implementation and migration
We build and change the platform through measurable checkpoints and explicit ownership.
04 · ENABLE
Operations and knowledge
We validate operations, document the platform and enable your team to take ownership.
– Technology experience
Broad technology coverage.
Architecture-led decisions.
Our experience spans cloud platforms, infrastructure, databases, analytical systems,
integration tooling and data governance technologies.
Cloud & Infrastructure
Databases
Warehouses & Analytics
Integration & Governance
– Engineering credibility
Expertise demonstrated
beyond client projects
We share our work through technical articles, conference talks and open-source activity.
Conference Talks
Practical sessions on PostgreSQL, analytical SQL, Kafka and modern data architectures.
Technical Insights
In-depth articles on data platforms, architecture, migrations, performance and emerging technologies.
Open-Source Engineering
Experiments and contributions focused on PostgreSQL and modern analytical workloads.
– Latest insights
Technical thinking from the
Baremon team
Practical articles on architecture, streaming, databases and the engineering decisions
behind modern data platforms.
In Part 1 of this series, we explained why organisations adopt Apache Kafka and why traditional integration methods fail under complexity. Now …
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– About Baremon
A specialist partner for critical data environments
Baremon is a Central European consultancy specialising in data platform architecture, engineering, modernisation and operations.
We work across infrastructure, storage, databases, integration, analytics and governance to create platforms that are reliable, understandable and maintainable.
“The platform must work as one system - not as a collection of technologies.”
Architecture, delivery and operations connected by clear ownership and senior engineering expertise.
– Start a conversation
Planning a new
data platform or modernising an existing one?
Tell us what you are trying to achieve. A senior Baremon consultant will review your situation and respond within two business days.