Optimizing Blob Storage on AWS with Enteros: Boosting Performance and Lowering Costs

Introduction

In today’s digital age, businesses rely on storing vast amounts of data. AWS provides a scalable, secure, and cost-effective infrastructure for cloud computing. Amongst its many offerings, AWS provides Blob Storage, which is used to store unstructured data. Unstructured data such as images, videos, documents, and logs, make up the majority of the data businesses collect. AWS offers three services for blob storage: Amazon S3, EBS, and EFS. Blob storage can lead to higher costs and performance issues, which can hamper productivity. In this article, we will look at how Enteros UpBeat, a patented database performance management SaaS platform, can help optimize blob storage on AWS to improve performance and lower costs.

Understanding Blob Storage on AWS:

Before we delve into how to optimize blob storage on AWS using Enteros UpBeat, let’s first understand what Blob Storage is and the challenges associated with it. Blob storage is a type of unstructured storage for large data objects that are typically files such as documents, images, videos, and logs. It is different from structured data storage, where the data is stored in databases. AWS offers three types of Blob Storage services:

Amazon S3: It is an object storage service used to store and retrieve any amount of data at any time. S3 provides industry-standard security for data protection, and durability by replicating data across multiple devices and facilities.

Amazon EBS: EBS stands for Elastic Block Store, which is used to store data on a block-level basis. It is similar to a hard drive, where you can create partitions, format, and mount it as a drive. It is commonly used to store data for applications that require high-performance storage, such as databases.

Amazon EFS: EFS stands for Elastic File System, which is used to store and access files from multiple EC2 instances simultaneously. It provides scalable, high-performance, and elastic file storage for EC2 instances.

However, using Blob Storage can lead to higher costs and performance issues, such as slow data access, which can impact business productivity.

Enteros UpBeat: Overview and Benefits:

Enteros UpBeat is a patented database performance management SaaS platform that uses advanced statistical learning algorithms to scan thousands of performance metrics and measurements across different database platforms. It helps businesses identify and address database scalability and performance issues across a wide range of database platforms. By identifying abnormal spikes and seasonal deviations from historical performance, Enteros UpBeat can help businesses proactively address issues before they become critical.

Enteros UpBeat offers several benefits for optimizing blob storage on AWS, including:

1. Improved performance: Enteros UpBeat can help identify performance bottlenecks and optimize storage to improve data access times, leading to better application performance.
2. Lower costs: Enteros UpBeat can identify storage that is no longer being used or is rarely used, which can help reduce the costs associated with storing unstructured data.
3. Increased productivity: By automating the optimization process, Enteros UpBeat can help database, application, and DevOps engineers focus on more critical tasks.

Using Enteros UpBeat to Optimize Blob Storage on AWS:

Using Enteros UpBeat to optimize blob storage on AWS is straightforward. Here is a step-by-step guide on how to do it:

Step 1: Connect Enteros UpBeat to your AWS account:
The first step is to connect Enteros UpBeat to your AWS account. This will allow Enteros UpBeat to access the metrics and measurements it needs to optimize your blob storage.

Step 2: Monitor your Blob Storage:
Once Enteros UpBeat is connected to your AWS account, it will start monitoring your blob storage performance. It will look for any abnormalities or deviations from historical performance, which can indicate a potential issue.

Step 3: Optimize your Blob Storage:
Once Enteros UpBeat has identified potential issues, it can help optimize your blob storage. Here are a few ways Enteros UpBeat can optimize your Blob Storage on AWS:

1. Tiered Storage: One way to optimize Blob Storage is to use a tiered storage strategy. This means that frequently accessed data is stored in a high-performance storage tier, while less frequently accessed data is stored in a lower-cost storage tier. Enteros UpBeat can help identify data that is no longer being used or is rarely used, which can be moved to a lower-cost storage tier, leading to cost savings.
2. Compression: Another way to optimize Blob Storage is to compress data. Compressed data takes up less storage space, leading to cost savings. Enteros UpBeat can help identify data that can be compressed and automatically compress it, leading to cost savings.
3. Encryption: Encrypting data can help ensure data security. However, encrypting data can lead to slower data access times, leading to performance issues. Enteros UpBeat can help identify data that requires encryption and ensure that encryption does not impact performance.
4. Lifecycle Policies: AWS allows you to define lifecycle policies to automatically transition objects from one storage class to another. Enteros UpBeat can help you define lifecycle policies based on usage patterns, ensuring that data is stored in the appropriate storage class, leading to cost savings.

Conclusion:

Blob storage is a critical component of many businesses’ data storage strategy. AWS provides several Blob Storage services, including Amazon S3, EBS, and EFS. However, using Blob Storage can lead to higher costs and performance issues, such as slow data access, which can impact business productivity. Enteros UpBeat is a patented database performance management SaaS platform that can help optimize Blob Storage on AWS, leading to improved performance and cost savings. By identifying potential issues, optimizing Blob Storage using tiered storage, compression, encryption, and lifecycle policies, Enteros UpBeat can help businesses proactively address issues before they become critical. If you are using Blob Storage on AWS, consider using Enteros UpBeat to optimize your storage and improve performance while lowering costs.

About Enteros

Enteros UpBeat is a patented database performance management SaaS platform that helps businesses identify and address database scalability and performance issues across a wide range of database platforms. It enables companies to lower the cost of database cloud resources and licenses, boost employee productivity, improve the efficiency of database, application, and DevOps engineers, and speed up business-critical transactional and analytical flows. Enteros UpBeat uses advanced statistical learning algorithms to scan thousands of performance metrics and measurements across different database platforms, identifying abnormal spikes and seasonal deviations from historical performance. The technology is protected by multiple patents, and the platform has been shown to be effective across various database types, including RDBMS, NoSQL, and machine-learning databases.​