You will get Data Layer (DB, DataGrid) Audit For Performance and Scalability
Project details
Is your Data Layer hitting a wall? Teams often implement In-Memory Data Grids (IMDG) or NoSQL for speed but struggle with scalability, GC pauses, and OOM crashes.
We are Mach41, a boutique consultancy. We don’t just use these platforms; we helped build them.
Why us?
Vendor Expertise: Our Principal Architect was Technical Director for Hazelcast. We know the internal mechanics.
Proven Scale: Designed grids handling billions of records for Tier-1 Banks and Global Exchanges.
What you get:
1. Config & Sizing (Starter) We audit cluster config (XML/YAML) and JVM flags.
Outcome: "Quick Wins" to stabilize performance.
2. Deep-Dive Audit (Standard) We analyze Client Code, Serialization bottlenecks, and "Hot Key" partitioning issues.
Outcome: Detailed "Scalability Risk Report."
3. Scale Roadmap (Advanced) Strategic capacity planning. Exact sizing models and architecture refactoring.
Outcome: Roadmap to scale capacity 10x.
Tech: Hazelcast, Redis, MongoDB, Kafka, Ignite.
We are Mach41, a boutique consultancy. We don’t just use these platforms; we helped build them.
Why us?
Vendor Expertise: Our Principal Architect was Technical Director for Hazelcast. We know the internal mechanics.
Proven Scale: Designed grids handling billions of records for Tier-1 Banks and Global Exchanges.
What you get:
1. Config & Sizing (Starter) We audit cluster config (XML/YAML) and JVM flags.
Outcome: "Quick Wins" to stabilize performance.
2. Deep-Dive Audit (Standard) We analyze Client Code, Serialization bottlenecks, and "Hot Key" partitioning issues.
Outcome: Detailed "Scalability Risk Report."
3. Scale Roadmap (Advanced) Strategic capacity planning. Exact sizing models and architecture refactoring.
Outcome: Roadmap to scale capacity 10x.
Tech: Hazelcast, Redis, MongoDB, Kafka, Ignite.
Database Type
Oracle, SQLite, PostgreSQL, MongoDB, Couchbase, Teradata, Realm Database, Azure Cosmos DBWhat's included
| Service Tiers |
Starter
$500
|
Standard
$2,500
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 0 | 0 | 0 |
Schema Diagram | - | - | - |
Permissions Setup | - | - | - |
Import/Export Data | - | - | - |
Admin Panel Setup | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$250 - $2,000
Additional Revision
+$100About Rimo
Data & AI Solutions Architect | Java & Low-Latency Specialist
High Wycombe, United Kingdom - 5:56 pm local time
As a former CTO and Technical Director, I don't just write code; I design systems that reduce costs, improve speed, and drive revenue.
How I Can Help You:
AI & Data Architecture: I design RAG (Retrieval-Augmented Generation) frameworks and Enterprise Data Platforms using Azure OpenAI, Databricks, and Vector Databases. I recently developed an enterprise-grade scalable RAG platform framework.
Legacy Modernization: I specialize in refactoring complex legacy monoliths into Cloud-Native solutions. Currently, I am driving a modernization initiative that achieved a 40% reduction in data footprint (Terabytes) and significant Opex reduction.
High-Performance Systems: Deep expertise in low-latency Java, Multi-threading, and In-Memory Data Grids (Hazelcast, Redis). I have built trading platforms for clients like Nomura, JPMorgan, and CME.
Strategic Leadership: I have led multi-cloud transformations and product strategies, winning industry awards for Data Ops and Innovation.
Technical Stack:
AI/ML: Azure AI, LangChain, RAG, Python, TensorFlow.
Languages: Core Java (Low Latency/Concurrency), Python, Scala.
Data: Hazelcast, Most no sql platforms Kafka, Spark, Databricks, Snowflake.
Cloud: AWS, Azure, GCP, Kubernetes.
Whether you need a fractional Architect to guide your AI strategy or a hands-on expert to optimize your high-throughput system, I bring C-level insight with engineering precision.
Steps for completing your project
After purchasing the project, send requirements so Rimo can start the project.
Delivery time starts when Rimo receives requirements from you.
Rimo works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Assessment & Config Review
We review your provided topology, configuration files (XML/YAML), and JVM flags to identify immediate "Red Flags" and establish a performance baseline.
Detailed Diagnostic & Analysis
We analyze the bottleneck—investigating Serialization overhead, Thread contention, Garbage Collection pauses, or Data Partition skew (Hot Keys).