It is common to end up in a situation where you launch an EC2 instance with Amazon EBS (Elastic Block Store) storage, only to discover your EBS storage allocation is significantly larger than required.
Yet, shrinking an EBS volume can be complex, demanding thorough preparations like creating backups and precise execution of reduction procedures.
Acknowledging the challenges of resizing an AWS EBS volume, our upcoming blog aims to provide a comprehensive guide. It will delve into EBS volumes, their significance in AWS, the necessity of shrinking them, and detailed steps for the reduction process.
An Elastic Block Storage Volume (EBS Volume) is akin to a cloud-based hard drive, attached to instances, serving as an extension of EC2 storage. These volumes stack up to form file systems, presenting a flexible storage system for varied data sizes.
EBS volumes operate within an "availability zone," ensuring data attachment to EC2 instances and auto-duplication for enhanced security. However, exclusive data replicated within that zone is lost if a zone fails.
There are four types of EBS Volume, each classified into two categories- Solid State Drives and Hard Disk Drives. They are
Now that we know what EBS volume and its types are, let us talk about the various benefits that make it essential for AWS.
However, some issues associated with EBS volume contribute to a higher AWS bill. Our process to automate shrinkage and expand storage resources involves conducting a comprehensive storage discovery.
Upon conducting a storage audit of multiple organizations leveraging cloud service, we discovered that there were three primary problems.
Optimizing storage often becomes complex due to the limited scope of Cloud Service Providers' (CSPs) storage features. Meeting storage needs frequently involves developing custom tools, significantly increasing DevOps efforts and time.
Relying solely on CSP tools might lead to manual, resource-heavy processes unsuitable for routine tasks.
Confronted with this challenge, many organizations compromise by over-provisioning. The primary driver behind this choice is the need for uninterrupted application uptime, as disruptions can severely impact daily operations.
Businesses lacking comprehensive tools and dealing with resource-intensive solutions tend to prioritize stability over-optimizing resources. As a result, they adopt over-provisioning as a practical but imperfect solution.
However, overprovisioning significantly impacts the overall AWS bill in the following ways:
Moreover, AWS does not offer native shrink features for many reasons, such as emphasis on elasticity, complexity, variability, and the performance implications associated with EBS. This necessitates the urgency of finding a way to shrink EBS volume.
These issues make AWS EBS volume shrinkage a necessity.
Shrinking an AWS EBS volume presents a challenge due to the absence of a direct method for reduction, unlike its dynamic expansion counterpart.
While expanding EBS Volumes holds significance, recognizing the necessity for shrinkage is increasingly vital based on specific demands and use cases.
For instance, if an AWS EBS volume holds transient data like log files or cache, reclaiming storage over time by shrinking the volume becomes beneficial.
Several reasons underscore the need for AWS EBS volume shrinkage:
Wondering what are the challenges associated with AWS EBS volume shrinkage?
AWS doesn't offer direct support for live EBS volume shrinkage, necessitating workarounds that involve multiple steps and tools.
Not only does the manual intervention lead to a cumbersome process but the reliance on different techniques elongates the AWS EBS volume shrinkage process and requires additional resources.
Moreover, the preparation and execution of the shrinkage process might demand pausing certain services, leading to temporary disruption and downtime.
How?
When shrinking an EBS volume, resizing the file system to make it smaller is essential. This often requires unmounting or taking the file system offline temporarily.
As a result, applications relying on the data stored in that file system may face downtime during this operation.
In certain situations, shrinking an AWS EBS volume would require an offline resizing operation. In those cases, the volume is briefly taken offline for resizing. This might lead to downtime since the volume can not be actively used when the data is moved and resized.
Additionally, it is advisable to create a backup of volume data before initiating a manual shrink operation to prevent data loss. However, this backup process might also result in downtime, especially if a consistent file system snapshot is required.
Before delving into the steps for reducing the size of an EBS volume in AWS, it's important to clarify that there is no straightforward, built-in way for EBS volumes to be shrunk directly from the AWS console. It is, therefore, necessary to create a new volume and transfer the existing data to it as part of the process.
Preparing for EBS volume shrinkage requires careful consideration:
By thoroughly preparing and documenting these aspects, you'll be better equipped to navigate the volume shrinkage process and mitigate potential issues that may arise during the operation.
Ensuring your EBS volume is eligible for resizing is critical:
Checking your volume's eligibility beforehand is pivotal to avoid complications and maintain service continuity while executing a volume shrinkage procedure.
A snapshot is a point-in-time image of an EBS volume that captures all its data, settings, and configurations as they are. Creating a snapshot as a precautionary measure before adjusting an EBS volume is indeed a wise step.
That’s because this snapshot is a safety net in case of data loss or errors during shrinkage. If an unexpected issue or corruption occurs, you can restore your data from the snapshot:
This snapshot serves as a safeguard, enabling you to restore data from a specific point if any unexpected issues or data loss occur during the shrinkage process.
Stop the EC2 instance and create a new EBS volume using the data obtained from snapshots with desired storage in the same availability zone. Follow the steps mentioned below.
These steps ensure you create a new EBS volume from the snapshot with the desired size and configurations in the appropriate availability zone.
sudo mkfs -t ext4//dev/xvdf
Follow these steps religiously to ascertain whether there is any data in the volume before formatting it should the volume be empty.
sudo mkdir /mnt/new-volume
They will indicate that a new volume be inserted into the file listing as mounted filesystems.
To transfer data from the old volume to the new volume, you can use the rsync command with the following syntax: rsync -axv / mnt/new-volume
Allow your laptop to complete the data transfer exercise at its own pace without interruptions. This may depend on how much data is being transferred.
sudo tune2fs -U COPIED_UUID /dev/xvdf
sudo e2label /dev/xvda1
It will show a string such as "cloudimg-rootfs."
sudo e2label /dev/xvdf cloudimg-rootfs
Doing so ensures that the new volume boots GRUB with the correct UUID and the same system label as the old volume, which would be essential concerning system functionality and consistency.
The verification of the success of the shrinkage process for the EBS (Elastic Block Store) in AWS includes verifying different features to guarantee the successful completion of the operation.
There's no denying that the above steps indeed demand considerable time and resources, impacting the overall productivity and potentially affecting revenue generation for an organization.
The intricacies involved in each stage, from eligibility checks to data migration, coupled with the need to navigate various tools, make it labor-intensive and error-prone.
Scaling such manual procedures across a vast environment becomes impractical and risky, risking system downtime that can significantly impact financial performance.
However, AWS doesn't provide a native live shrinkage feature. This is where Lucidity's solution comes into play. Their tools and services aim to streamline and automate the EBS shrinkage as well as expansion process, offering a more efficient, less error-prone, and less time-consuming alternative to the current manual procedures.
This saves time and resources and reduces the risk of downtime and errors associated with complex manual tasks.
While those above can help shrink the AWS EBS volume, it is technically not shrinking your volume but creating a smaller volume.
Owing to the complexities associated with the process, the probability of data loss, and other such reasons, this process of EBS shrinkage can be a hassle.
Several other reasons that necessitate a better process for AWS EBS shrinkage are:
The manual process of shrinking AWS EBS volumes doesn't just demand profound expertise and add complexity; it also comes with substantial cost implications:
Data loss or service interruptions can occur if any step in a manual process is missed, such as creating a snapshot, detaching a volume, or migrating data.
Moreover, the shrinkage process of EBS volumes may require coordination with several teams, including system administrators, database administrators, and developers.
Coordination across teams can add complexity and increase overall shrinkage time.
Given the drawbacks of manual EBS shrinkage, there's a growing need for a simpler and more efficient process to mitigate overprovisioning's impact on an organization's financial health.
Recognizing this need, we've developed a live block storage auto-scaler at Lucidity—an automated solution designed to simplify cloud storage management.
We offer the industry's first autonomous storage orchestration solution, which provides the storage your organization needs economically and reliably.
Mounted atop your block storage and cloud service provider, our EBS Auto-scaler frees you from the hassle of overprovisioning and underprovisioning since it offers seamless expansion and shrinkage of storage resources without any downtime, buffer time or performance issues.
Lucidity's EBS Auto-scalers work towards providing a NoOps experience and offer the following benefits.
Lucidity offers customizable policies to ensure smooth operation and maximum efficiency. With the ability to set utilization thresholds, minimum disk requirements, and buffer sizes, Lucidity effortlessly manages instances according to your preferences.
It's worth noting that you can create unlimited policies with Lucidity, allowing for precise adjustment of storage resources as your needs evolve.
Will the continuous process impact your daily operations?
You have nothing to worry about since Lucidity is designed only to consume 2% of the RAM and CPU usage. This will ensure that your workload is never disturbed.
How do we go about the process?
Before automating the shrinkage or expansion of your storage resources, we conduct a free-of-cost Lucidity Storage Audit to gain a profound understanding of your disk health, focusing on overall disk spend, disk downtime risks, and disk wastage.
With Lucidity Storage Audit, clients are provided with a seamless and user-friendly experience for creating and validating their own business cases in an easy-to-use manner.
Our storage audit can be conducted in just a few clicks, providing clients with valuable insights into their storage utilization and optimizing their cloud resources.
Once we help you figure out the reasons behind overprovisioning and excessive spending, which could be due to underutilized or idle resources, we install EBS Auto-scaler, which automates shrinkage and expands the storage resources based on the requirement.
How did we help Bobble AI save on DevOps efforts and ensure efficiency EBS management?
Bobble AI, a dynamic technology company, relied on AWS Auto Scaling Groups for scalability but encountered challenges in managing Elastic Block Storage (EBS).
This led to cost overruns and operational complexities. Seeking a solution, they approached our team to enhance their AWS infrastructure.
The issue originated from managing Elastic Block Storage (EBS) volumes within Bobble's system. Initially set at 100GB in Amazon Machine Image (AMI), new instances inherited this fixed size regardless of usage.
Resizing these volumes involved creating new AMIs, scaling volumes, and refreshing the cycle, causing significant time delays.
One critical challenge was volumes reverting to their original size every 24 hours during instance refresh cycles, complicating daily system upgrades.
Lucidity addressed this by integrating its Autoscaler agent into Bobble's AMI. This streamlined ASG deployment by seamlessly incorporating Lucidity Autoscaler into newly spawned EBS volumes through Bobble's launch template.
This enabled automatic scaling of volumes based on workload, maintaining a consistent utilization of 70-80%.
Lucidity's implementation streamlined the tedious task of resizing EBS volumes within the ASG at Bobble. Previously, the process involved coding, AMI creation, and full cycle refreshes.
With Lucidity, this cumbersome procedure was eliminated. Now, Bobble enjoys a simplified, low-touch system as Lucidity efficiently handles EBS volume provisioning. This streamlined process effortlessly scales to manage over 600 monthly instances at Bobble.
Reducing EBS volumes to align with an organization's storage needs is crucial to minimize unnecessary expenses and maintain system efficiency.
Automation stands out as a reliable, repeatable, and efficient solution for this task. Automating the shrinkage process minimizes errors, ensuring consistent execution and streamlining operations.
In the dynamic realm of cloud environments, automation for EBS volume shrinkage serves as both a cost-saving strategy and a method to enhance operational agility and resource management.
Let Lucidity take charge of managing your fluctuating storage needs. Book a demo today to discover how our solution ensures seamless AWS EBS volume shrinkage.