Performance and Cost Optimization– Maximizing Data Efficiency
As an AWS partner, we suggest systematic analysis, strategic tuning, and intelligent resource management that identifies inefficiencies in data pipelines, SQL query optimization, and right-sizes computational resources. In such a way, we minimize cloud infrastructure costs while maintaining or improving real-time data processing speed and reliability.
Cloud Cost and Performance Optimization Solutions
Enhance database query speed by implementing advanced caching mechanisms (like Redis or Memcached), strategic indexing, de-normalizing data, and precomputing frequently accessed data structures to dramatically reduce query execution time.
Solutions for Performance and Cost Optimization
FinTech Data Optimization
- Implement distributed databases to handle high-volume, real-time transaction processing with maximum reliability and minimal latency
- Deploy stream processing platforms like Kafka and improve performance with Apache Flink to enable continuous, instantaneous fraud detection and transaction monitoring
- Develop complex analytics systems that process financial data in real time, enhancing risk management and compliance capabilities
Retail Data Intelligence
- Utilize big data analytics to track and analyze comprehensive customer behavior analytics across multiple touchpoints
- Apply machine learning technologies like TensorFlow and PyTorch to generate personalized product recommendations
- Create predictive models that optimize marketing spend by targeting high-conversion customer segments and reducing acquisition costs
Medical Data Engineering
- Design HIPAA-compliant cloud infrastructure that ensures maximum data security while minimizing storage and processing expenses
- Implement specialized medical data processing systems that can handle complex, sensitive patient information with strict privacy controls
- Develop scalable solutions that enable efficient storage, retrieval, and analysis of large-scale medical datasets while maintaining regulatory compliance
Telco Data Optimization
- Use big data processing with Hadoop and stream analytics tools like Apache Flink to process network traffic data in real-time
- Develop churn prediction models for proactive customer retention strategies
- Create sophisticated data processing pipelines that analyze customer usage patterns to recommend optimal service tariffs and packages
Manufacturing Data Intelligence
- Implement IoT for equipment monitoring and predictive maintenance systems that use machine learning to forecast equipment failures and optimize maintenance schedules
- Develop distributed database solutions for real-time tracking and management of complex supply chain logistics
- Create warehouse management systems (WMS) that provide granular insights into inventory movement, reducing waste and improving operational efficiency
Tired of sky-high cloud bills?
Case Studies in Data Engineering: Streamlined Data Flow
Check out a few case studies that show why VOLTERA will meet your business needs.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
Performance Measurement
The Retail company struggled with controlling sales and monitoring employees’ performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
AWS Performance and Cost Optimization Technologies
Arangodb
Neo4j
Google
BigTable
Apache Hive
Scylla
Amazon EMR
Cassandra
AWS Athena
Snowflake
AWS Glue
Cloud
Composer
Dynamodb
Amazon
Kinesis
On premises
AZURE
AuroraDB
Databricks
Amazon RDS
PostgreSQL
BigQuery
AirFlow
Redshift
Redis
Pyspark
MongoDB
Kafka
Hadoop
GCP
Elasticsearch
AWS
Let’s take the guesswork out of cloud costs.
Performance and Cost Optimization Process
Assessment
01
Goal Setting
02
Optimization Design
03
Automation
04
Implementation
05
Continuous Monitoring
06
Users' Feedback
06
Performance and Cost Challenges
Overcoming Cloud Resource Wastage
Tackling Massive Data Volume Challenges
Overcoming Scalability Bottlenecks
Overcoming Cloud Resource Wastage
Tackling Massive Data Volume Challenges
Overcoming Scalability Bottlenecks
Addressing High Support Costs
Cost And Performance Optimization Benefits
Dynamic Scaling
Data Architecture Optimization
Choosing Tools
Real-Time Processing
Intelligent Cost Management
