Apr 1, 2024
Slashing Cloud Costs
How Network APIs Slash Cloud Storage Costs Without Sacrificing Performance
Data Storage
Hosting
Data
Cloud Storage Costs
Cloud storage is expensive—not just because of the storage itself, but because of the hidden costs of moving, processing, and retrieving data. Many businesses store far more than they need, transfer massive datasets unnecessarily, and run expensive compute jobs that could be optimized.
Network APIs offer a smarter approach. Instead of treating cloud storage like a static warehouse where all data is stored indefinitely, APIs allow businesses to retrieve only what is needed, when it is needed. This reduces the amount of data stored, minimizes transfer costs, and streamlines processing. The difference is similar to the logistics of supply chain management—companies that stockpile inventory without considering demand waste money on storage and transportation. Those that use just-in-time delivery reduce overhead and keep operations running efficiently. With cloud data, the key is to avoid excess storage and unnecessary data movement.
A common issue for businesses is the cost of retrieving data from cloud storage, known as egress fees. Every time data is accessed or transferred, cloud providers charge a fee, and if large datasets are being moved regularly, these costs add up. A global e-commerce company, for example, may store millions of product details in a cloud database. If their system retrieves the entire catalog for every price update, they are moving terabytes of data unnecessarily. A more efficient approach is to use Network APIs to fetch only the updated items rather than the entire dataset. This simple shift can reduce egress costs by more than half while improving application speed.
Another hidden cost comes from redundant storage. Businesses often keep multiple copies of the same data across different cloud regions to improve access speeds, but this leads to unnecessary duplication. Network APIs reduce the need for excessive storage by providing real-time access to data without requiring multiple backups. Instead of storing data in multiple places, businesses can use APIs to fetch it dynamically from a single optimized source. This method not only cuts storage expenses but also reduces the complexity of maintaining and synchronizing data across multiple locations.
How to Reduce
Reducing Compute Costs Through Smarter Data Processing With Network APIs
Cloud computing costs are another major factor driving up cloud expenses. Many businesses run extensive data processing operations without optimizing the data being processed. When raw, unstructured data is continuously pulled into analytics systems, artificial intelligence models, or transaction monitoring platforms, the cost of cloud compute services skyrockets. Without efficient data filtering and retrieval, businesses end up paying for compute power that is processing unnecessary information.
A financial services company conducting fraud detection analysis on transactions provides a clear example. If the system analyzes every transaction from every customer, it requires massive computing resources. However, most of these transactions are routine and pose no fraud risk. By integrating Network APIs, the company can pre-filter transactions at the network level, analyzing only high-risk transactions while ignoring routine ones. This reduced the volume of data being processed by forty percent and cut cloud computing costs significantly.
For companies running data-intensive workloads, such as AI-driven recommendations, customer analytics, or real-time monitoring, the ability to filter data before it reaches the cloud is essential. Traditional cloud models rely on retrieving entire datasets and processing them in bulk. This is equivalent to a factory running at full capacity even when demand is low. Network APIs act as an intelligent filter, ensuring that only relevant data is sent for processing, allowing businesses to reduce compute cycles and lower costs.
Beyond lowering costs, optimizing compute efficiency also improves performance. When applications process only the necessary data, response times improve, making customer interactions smoother. A media streaming company implemented an API-based data retrieval system to serve only relevant metadata to users rather than querying full video files. This reduced their cloud compute costs and improved load times, creating a better user experience while saving on infrastructure expenses.
The shift to an API-driven cloud strategy is not just about cost reduction. It is about making cloud infrastructure more efficient, responsive, and adaptable. Businesses that integrate Network APIs into their cloud architecture gain the ability to scale without unnecessary expenses, ensuring that resources are used where they matter most. The long-term benefit is a system that is not only leaner and faster but also more sustainable as data volumes continue to grow.
Latest Updates
(GQ® — 02)
©2024
FAQ
01
What does Centillion do?
02
How does Centillion’s API work?
03
How does Centillion help companies monetize their data?
04
What industries benefit from Centillion?
05
How does Centillion ensure compliance with global regulations?
06
What makes Centillion different from other data platforms?
07
How does Centillion improve data security and integrity?
08
How can businesses integrate Centillion’s services?
Apr 1, 2024
Slashing Cloud Costs
How Network APIs Slash Cloud Storage Costs Without Sacrificing Performance
Data Storage
Hosting
Data
Cloud Storage Costs
Cloud storage is expensive—not just because of the storage itself, but because of the hidden costs of moving, processing, and retrieving data. Many businesses store far more than they need, transfer massive datasets unnecessarily, and run expensive compute jobs that could be optimized.
Network APIs offer a smarter approach. Instead of treating cloud storage like a static warehouse where all data is stored indefinitely, APIs allow businesses to retrieve only what is needed, when it is needed. This reduces the amount of data stored, minimizes transfer costs, and streamlines processing. The difference is similar to the logistics of supply chain management—companies that stockpile inventory without considering demand waste money on storage and transportation. Those that use just-in-time delivery reduce overhead and keep operations running efficiently. With cloud data, the key is to avoid excess storage and unnecessary data movement.
A common issue for businesses is the cost of retrieving data from cloud storage, known as egress fees. Every time data is accessed or transferred, cloud providers charge a fee, and if large datasets are being moved regularly, these costs add up. A global e-commerce company, for example, may store millions of product details in a cloud database. If their system retrieves the entire catalog for every price update, they are moving terabytes of data unnecessarily. A more efficient approach is to use Network APIs to fetch only the updated items rather than the entire dataset. This simple shift can reduce egress costs by more than half while improving application speed.
Another hidden cost comes from redundant storage. Businesses often keep multiple copies of the same data across different cloud regions to improve access speeds, but this leads to unnecessary duplication. Network APIs reduce the need for excessive storage by providing real-time access to data without requiring multiple backups. Instead of storing data in multiple places, businesses can use APIs to fetch it dynamically from a single optimized source. This method not only cuts storage expenses but also reduces the complexity of maintaining and synchronizing data across multiple locations.
How to Reduce
Reducing Compute Costs Through Smarter Data Processing With Network APIs
Cloud computing costs are another major factor driving up cloud expenses. Many businesses run extensive data processing operations without optimizing the data being processed. When raw, unstructured data is continuously pulled into analytics systems, artificial intelligence models, or transaction monitoring platforms, the cost of cloud compute services skyrockets. Without efficient data filtering and retrieval, businesses end up paying for compute power that is processing unnecessary information.
A financial services company conducting fraud detection analysis on transactions provides a clear example. If the system analyzes every transaction from every customer, it requires massive computing resources. However, most of these transactions are routine and pose no fraud risk. By integrating Network APIs, the company can pre-filter transactions at the network level, analyzing only high-risk transactions while ignoring routine ones. This reduced the volume of data being processed by forty percent and cut cloud computing costs significantly.
For companies running data-intensive workloads, such as AI-driven recommendations, customer analytics, or real-time monitoring, the ability to filter data before it reaches the cloud is essential. Traditional cloud models rely on retrieving entire datasets and processing them in bulk. This is equivalent to a factory running at full capacity even when demand is low. Network APIs act as an intelligent filter, ensuring that only relevant data is sent for processing, allowing businesses to reduce compute cycles and lower costs.
Beyond lowering costs, optimizing compute efficiency also improves performance. When applications process only the necessary data, response times improve, making customer interactions smoother. A media streaming company implemented an API-based data retrieval system to serve only relevant metadata to users rather than querying full video files. This reduced their cloud compute costs and improved load times, creating a better user experience while saving on infrastructure expenses.
The shift to an API-driven cloud strategy is not just about cost reduction. It is about making cloud infrastructure more efficient, responsive, and adaptable. Businesses that integrate Network APIs into their cloud architecture gain the ability to scale without unnecessary expenses, ensuring that resources are used where they matter most. The long-term benefit is a system that is not only leaner and faster but also more sustainable as data volumes continue to grow.
Latest Updates
(GQ® — 02)
©2024
FAQ
01
What does Centillion do?
02
How does Centillion’s API work?
03
How does Centillion help companies monetize their data?
04
What industries benefit from Centillion?
05
How does Centillion ensure compliance with global regulations?
06
What makes Centillion different from other data platforms?
07
How does Centillion improve data security and integrity?
08
How can businesses integrate Centillion’s services?
Apr 1, 2024
Slashing Cloud Costs
How Network APIs Slash Cloud Storage Costs Without Sacrificing Performance
Data Storage
Hosting
Data
Cloud Storage Costs
Cloud storage is expensive—not just because of the storage itself, but because of the hidden costs of moving, processing, and retrieving data. Many businesses store far more than they need, transfer massive datasets unnecessarily, and run expensive compute jobs that could be optimized.
Network APIs offer a smarter approach. Instead of treating cloud storage like a static warehouse where all data is stored indefinitely, APIs allow businesses to retrieve only what is needed, when it is needed. This reduces the amount of data stored, minimizes transfer costs, and streamlines processing. The difference is similar to the logistics of supply chain management—companies that stockpile inventory without considering demand waste money on storage and transportation. Those that use just-in-time delivery reduce overhead and keep operations running efficiently. With cloud data, the key is to avoid excess storage and unnecessary data movement.
A common issue for businesses is the cost of retrieving data from cloud storage, known as egress fees. Every time data is accessed or transferred, cloud providers charge a fee, and if large datasets are being moved regularly, these costs add up. A global e-commerce company, for example, may store millions of product details in a cloud database. If their system retrieves the entire catalog for every price update, they are moving terabytes of data unnecessarily. A more efficient approach is to use Network APIs to fetch only the updated items rather than the entire dataset. This simple shift can reduce egress costs by more than half while improving application speed.
Another hidden cost comes from redundant storage. Businesses often keep multiple copies of the same data across different cloud regions to improve access speeds, but this leads to unnecessary duplication. Network APIs reduce the need for excessive storage by providing real-time access to data without requiring multiple backups. Instead of storing data in multiple places, businesses can use APIs to fetch it dynamically from a single optimized source. This method not only cuts storage expenses but also reduces the complexity of maintaining and synchronizing data across multiple locations.
How to Reduce
Reducing Compute Costs Through Smarter Data Processing With Network APIs
Cloud computing costs are another major factor driving up cloud expenses. Many businesses run extensive data processing operations without optimizing the data being processed. When raw, unstructured data is continuously pulled into analytics systems, artificial intelligence models, or transaction monitoring platforms, the cost of cloud compute services skyrockets. Without efficient data filtering and retrieval, businesses end up paying for compute power that is processing unnecessary information.
A financial services company conducting fraud detection analysis on transactions provides a clear example. If the system analyzes every transaction from every customer, it requires massive computing resources. However, most of these transactions are routine and pose no fraud risk. By integrating Network APIs, the company can pre-filter transactions at the network level, analyzing only high-risk transactions while ignoring routine ones. This reduced the volume of data being processed by forty percent and cut cloud computing costs significantly.
For companies running data-intensive workloads, such as AI-driven recommendations, customer analytics, or real-time monitoring, the ability to filter data before it reaches the cloud is essential. Traditional cloud models rely on retrieving entire datasets and processing them in bulk. This is equivalent to a factory running at full capacity even when demand is low. Network APIs act as an intelligent filter, ensuring that only relevant data is sent for processing, allowing businesses to reduce compute cycles and lower costs.
Beyond lowering costs, optimizing compute efficiency also improves performance. When applications process only the necessary data, response times improve, making customer interactions smoother. A media streaming company implemented an API-based data retrieval system to serve only relevant metadata to users rather than querying full video files. This reduced their cloud compute costs and improved load times, creating a better user experience while saving on infrastructure expenses.
The shift to an API-driven cloud strategy is not just about cost reduction. It is about making cloud infrastructure more efficient, responsive, and adaptable. Businesses that integrate Network APIs into their cloud architecture gain the ability to scale without unnecessary expenses, ensuring that resources are used where they matter most. The long-term benefit is a system that is not only leaner and faster but also more sustainable as data volumes continue to grow.
FAQ
What does Centillion do?
How does Centillion’s API work?
How does Centillion help companies monetize their data?
What industries benefit from Centillion?
How does Centillion ensure compliance with global regulations?
What makes Centillion different from other data platforms?
How does Centillion improve data security and integrity?
How can businesses integrate Centillion’s services?