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Amazon S3 Vs Amazon Glacier | Encaptechno

Amazon S3 Vs Amazon Glacier

Amazon S3 Vs Amazon Glacier | Encaptechno


When you establish your first
AWS-hosted application for your new business, the first thing that jumps to mind is to prioritize the preservation of frequent and inactive data. Both Amazon Glacier and Amazon Web Services S3 are storage options that help you avoid data loss.

Businesses face various crucial conditions when conducting business online, including data corruption, administrative failures, malware attacks, etc. Therefore, even if you have a capable and long-lasting system, it is critical to keep a backup of all types of data on hand. Amazon S3 has been around for a long time. However, Amazon Glacier arrived later with premium features and capabilities. Both are legitimate services designed to provide an appropriate backup alternative in a tragedy.

Amazon’s Simple Storage Service (S3) and Glacier are two of the most popular cloud file storage systems. S3 enables you to store and recover any amount of data from anywhere on the network, known as file hosting. In addition, S3 offers object storage, which allows you to store files and metadata about them, which can be utilized for data processing.

You may create a low-cost storage system using Amazon S3’s great scalability, reliability, and speed. For various use situations, Amazon S3 provides many storage classes. S3 Standard is one of them. S3 Standard general-purpose storage for repeatedly accessed data, S3 Intelligent-Tiering for data with unknown or changing access schemes are designed for 99.9% availability, S3 Standard-Infrequent Access (S3 Standard-IA), and S3 One Zone-Infrequent Access (S3 One Zone-IA) for data requiring long-term storage for 99.5% availability are some of these options.

Amazon S3 Glacier (S3 Glacier) and Amazon S3 Glacier Deep Archive (S3 Glacier Deep Archive) are available for long-term data storage and preservation. Amazon Glacier and Amazon S3 are “Data Backup” and “Cloud Storage” technologies.


What exactly is Amazon S3?


Amazon S3, also known as Amazon Simple Storage Service, has been used by enterprises worldwide for a long time. It is recognized as one of AWS’s most widely used cloud storage offerings. It offers characteristics that allow you to store and retrieve an unlimited quantity of data without time constraints or limitations. 

With S3, there are no geographical limitations to data retrieval or upload. However, the pricing model is determined by how frequently it is retrieved. Amazon Simple Storage Service is an entirely redundant data storage system that allows you to store and recover any quantity of data from anywhere on the internet.

Amazon S3 is a cloud-based object storage solution that is simple to use. S3 provides industry-leading scalability, availability, access speed, and data security. In various circumstances, S3 can be utilized to store practically any quantity of data. Static websites, mobile applications, backup and recovery, archiving, corporate applications, IoT device-generated data, application log files, and extensive data analysis are all common uses for the storage service. Amazon S3 also has simple management tools. These tools, which you may access via the online console, command line, or API, let you arrange data and fine-tune access controls to meet project or regulatory requirements.

Amazon S3 organizes data into logical buckets, making it convenient and straightforward for users to find what they’re looking for. S3 also has an object storage facility for files, data, and metadata. But, again, its motive is to make it simple for individuals to locate data or files when they need them.

 

What exactly is the Amazon Glacier?


If you’re searching for a cost-effective way to back up your most static data, Amazon Glacier is the way to go. It’s often used for data backup and archiving. Customers should expect to pay around $0.004 per GB per month to retain their critical data for the long term.

The most incredible thing about Amazon Glacier is that it is a managed service, so you don’t have to worry about monitoring or maintaining your data. Amazon Glacier’s key selling point is that it can store data that isn’t accessed regularly for a long time. 

When opposed to S3, Amazon Glacier’s use cases are far more focused. As a result, it is a more robust solution for firms looking to protect sensitive and inactive data. With Amazon Glacier, you may store your source data, log files, or business backup data.

The only objective of Amazon Glacier’s development is to manage long-term data storage. Hence, it’s not designed for frequent retrievals. As a result, the retrieval speed with Glacier may be slow. But then the low-cost feature of Amazon Glacier compared to S3 draws the main business. Amazon Glacier is optimized for data that is retrieved infrequently and for which retrieval durations of several hours are acceptable to keep costs low. As a result, with Amazon Glacier, significant savings over on-premises options, customers can store considerable or minor amounts of data for as little as $0.01 per gigabyte per month.

Amazon Glacier is a low-cost storage service that offers secure and long-term data backup and archiving and is optimized for data that is retrieved infrequently and for which retrieval durations of several hours are acceptable to keep costs low.

 

Let’s explore in detail the features of Amazon Glacier

  • Inexpensive cost: Amazon Glacier is a pay-per-gigabyte-per-month storage solution as low as $0.01 per gigabyte per month.
  • Inexpensive cost | Amazon GlacierArchives: As archives, you save data in Amazon Glacier. You can use an archive to represent a single file or bundle many files to upload as a single archive. To get archives from Amazon Glacier, you must first start a job. In most cases, jobs are completed in 3 to 5 hours. After that, your archives are stored in vaults.

  • Security: Amazon Glacier uses Secure Sockets Layer (SSL) to encrypt data in transit and automatically saves data encrypted at rest using Advanced Encryption Technology (AES) 256, a secure symmetric-key encryption standard with 256-bit encryption keys.

 

Let’s dive into more detail to study the features of Amazon S3

  • Bucket criteria: Objects containing 1 byte to 5 terabytes of data can be written, read, and deleted. You can store an unlimited number of things. Each object is saved in a bucket and accessed using a unique key supplied by the developer.
    A bucket can be kept in any of the available regions. You can select an area to reduce latency, lower expenses, or meet regulatory criteria.
  • Scalability: Using Amazon S3, you won’t have to worry about storage issues. Instead, we can save as much information as possible and access it whenever we want.

  • Low-cost and simple to use: Amazon S3 allows users to store vast data for very little money.

  • Security: Amazon S3 allows data to be transferred via SSL, and the data is automatically encrypted once it is uploaded. Additionally, by defining bucket policies using AWS IAM, the user has complete control over their data.

  • Enhanced Performance: Amazon S3 is connected with Amazon CloudFront, which distributes material to end users with minimal latency and high data transfer speeds without any minimum usage commitments.

    Enhanced Performance | Amazon S3

  • Integration with AWS services: Amazon S3 is connected with Amazon CloudFront, Amazon CloudWatch, Amazon Kinesis, Amazon RDS, Amazon Route 53, Amazon VPC, AWS Lambda, Amazon EBS, Amazon DynamoDB, and other AWS services.

Transition from S3 to S3 Glacier


Let’s have a look at when this transition is appropriate:

  • When a large amount of data is accumulated but immediate access to it is not necessary.
  • When it comes to archiving.
  • When putting together a backup plan.
  • S3 Glacier’s budget is significantly reduced when dealing with big amounts of data.

Expedited, Standard, and Bulk Retrieval are the three archive extraction modes (also known as retrieval tiers) available in Amazon S3 Glacier to satisfy varying access time and cost needs.

  • In 1–5 minutes, you can have your archives ready.
  • Standard extraction, which produces archives in 3-5 hours.
  • Batch retrieval costs $0.0025 per GB and allows for cost-effective access to massive amounts of data (up to a few petabytes).
  • The cost of retrieving data varies.

What are the steps to moving to Amazon S3 Glacier?

  • Decide how much data you’ll be working with.
  • Decide how frequently you’ll need to access data from the backup.
  • Determine how much time you’ll have to wait for your backup.
  • Consider whether you need to use the API to obtain data.

You can choose if you should transform from normal S3 to Amazon S3 Glacier based on this information, as well as which technological aspects will be crucial for your job.

Battle of Amazon S3 Vs Glacier

 

  • S3 is mainly used for frequent data access, whereas Amazon Glacier is primarily utilized for long-term data storage.
  • Amazon Glacier does not support hosting static online content, whereas S3 does.
  • The data is saved in the logical buckets on S3. However, Amazon Glacier stores data in the form of archives and vaults.
  • Object migrating from one storage class to another is possible with S3. On the other hand, the Glacier items will only be moved to the Deep Archive storage type.
  • When compared to Amazon Glacier, Amazon S3 is more expensive. The many retrieval options included inside these storage technologies account for this disparity.
  • The minimum storage day with S3 is 30 days, while the minimum storage day with Glacier is 90 days.
  • Setting up Amazon Glacier is simple; however, S3 is more complicated.
  • Glacier makes it faster and easier to create and organize archives or vaults, whereas S3 takes time to develop folders or buckets properly.

Similarities between Amazon Glacier And S3 

 

  • Both Amazon Glacier and Amazon S3 are expected to provide 99.999999999 per cent object durability across multiple availability zones.
  • Both S3 and Amazon Glacier have a high availability rate.
  • Both Glacier and S3 have no theoretical limit on the amount of data you may store.
  • Both Glacier and S3 allow for direct uploading of things.
  • SLAs are provided for both Glacier and S3.

 

Conclusion

Amazon S3 is a web-based cloud storage service designed for online backup and archival of data and applications on Amazon Web Services (AWS). Disaster recovery, application hosting, and website hosting are all possible with Amazon S3. Amazon S3 Glacier offers long-term storage for any data format. Data can be accessed in three to five hours on average. A developer may utilize Amazon Glacier in conjunction with storage lifecycle management to move rarely used data to cold storage to save money.

The most significant distinction between the two Amazon storage services is that S3 is meant for real-time data retrieval, whilst Amazon Glacier is utilized for archival. Therefore, S3 Glacier should only be used for low-cost storage scenarios when data isn’t needed right away. On the other hand, S3 is recommended for organizations that require frequent and quick access to their data.

These are a handful of the explanatory qualities that illustrate how AWS Glacier and S3 differ and how they are similar. As a result, select the appropriate AWS storage solution to match your data storage and retrieval requirements. 

At Encaptechno, we design AWS certified solutions to help you plan and implement an Amazon Web Services (AWS) migration strategy to improve your applications. Our team at Encaptechno has the expertise to plan a seamless migration of all aspects of your computing, application, and storage operations from your current infrastructure to the AWS Cloud. Reach out to us today. We would be glad to hear from you about your project goals and discuss how we can help!

 

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Best AWS Security Practices - Encaptechno

10 Best AWS Security Practices That Businesses Should Follow

The concept of information security stands as a matter of high importance to the customers of Amazon Web Services (AWS). In addition to being a functional requirement that safeguards the mission-critical information from any accident data theft, leakage, compromise, and deletion, the information security practices provide integrity to the data.

Best AWS Security Practices - Encaptechno

Hence, it can be easily concluded that the Amazon Web services or the AWS cloud security are important subjects in the cybersecurity environment of the present world. It is so important that an increasing number of businesses are implementing the AWS cloud services to ensure that their information security stays up to the mark. In the present landscape, there is clearly no doubt that Amazon risk management offers the best security features to the users preserving the AWS cloud services.

However, an important thing to note here is that security is a collaborative responsibility of AWS and the users. You can implement the fundamental AWS security practice but due to the fact that a large volume of resources gets launched and modified in the AWS infrastructure frequently, there must be an added focus maintained in keeping up with the cloud security best practices.

In this blog, we will see the 10 best AWS security practices that businesses should follow as important measures. Before we jump on to the best practices, we will begin by understanding what AWS is in detail.

Amazon Web Services

The AWS can be considered as a widely adopted comprehensive and protected cloud platform that provides high featured services such as content delivery, database storage, compute power, and other functionalities that can help immensely in becoming global. It also offers multiple solutions and tools like cloud video editing tools and many more for the software enterprises and developers for the purpose of scaling up and growing.

Related ReadAn Introduction to the Amazon Web Services

AWS cloud service is divided into numerous services and every one of these can be configured on the basis of the user’s needs. The services enable the users to host dynamic websites by running the web and application services in the cloud while using the managed databases such as Oracle, SQL Server, or even MySQL for the purpose of storing information and safely storing files on the cloud so that they can be accessed from anywhere.

With so many benefits that AWS offers, there comes an important responsibility of maintaining the security of data in the cloud. Now that we have understood what AWS is, we will implement them for ensuring enhanced security.

1. Understand AWS Security Model

Similar to maximum cloud service providers, Amazon functions on a shared responsibility model. In order to implement security practice, understanding this model is very important. Taking complete responsibility for the AWS cloud security in its infrastructure, Amazon has made platform security an important priority for the purpose of protecting important information and applications.

In its early stages only, Amazon finds all possible occurrences of fraud or abuse while aptly responding by notifying the customers. However, the customer is in charge of making sure that the AWS environment is configured safely and the data is not shared with anyone with whom it shouldn’t have been shared. It identifies when any user misuses AWS and enforces suitable governance rules.

  • Amazon’s Role: Amazon is excessively focused on the security of AWS infrastructure because it has very little control over how AWS is used by the customers. The role that Amazon plays includes protecting the computing, networking, storage, and database services against any kind of intrusions. In addition, Amazon is also responsible for the added security of hardware, software, and physical facilities that host the AWS services. Rather, it takes responsibility for the security configuration of managed services such as Redshift, Elastic MapReduce, WorkSpaces, Amazon DynamoDB, etc.
  • Customer’s Role: The customers of AWS are liable to ensure safe usage of AWS services that are otherwise considered unmanaged. For instance; although Amazon has created multiple layers of security features for preventing any unauthorized access to AWS including multi-factor authentication, it is entirely dependent on the customer to ensure that the multifactor authentication is turned on for the users.

2. Prioritize Your Strategy In Sync With Tools and Controls

There is a significant discussion on whether one should put tools and controls in the first place or set up the security strategy on the other hand. The right answer to this may seem like an underlying discussion because it is complex in nature.

At most times, it is recommended to establish the AWS cloud security strategy in the first place so that when you access a tool or control, you can evaluate if it supports your strategy or not. In addition, it also enables you to protect security into all the organizational functions including the ones relying on AWS. When a security strategy is in place first, it proves to be of great help with the concept of continuous deployment.

For example, when a company uses the configuration management tool for automating the software patches and updates, there is a strong security plan in place. It helps in implementing security monitoring all through the tools from the very first day.

3. Strengthening CloudTrail Security Configurations

CloudTrail is an AWS cloud service that helps in generating log files of all the API calls that are made within the AWS including the SDKs, command-line tools, AWS management console, etc. It is a capability that enables the organizations to monitor activities in AWS for both the compliance auditing and the post forensic investigations.

The log files so generated are stored in the S3 bucket. In case a cyber attacker gains access to an AWS account, one of the primary few things that they do will be disabling CloudTrail and deleting the log files. For getting the maximum benefit from CloudTrail, different organizations must take some measures.

Out of them, enabling the CloudTrail across different geographic locations and the AWS service prevents activity monitoring gaps. Turning on the CloudTrail log file validation to ensure the track of any changes made to the log file ensures the integrity of the log file. An access login for CloudTrail S3 bucket that can track access requests and find any potential access attempts is also important. Lastly, turning on the multifactor authentication for deleting the S3 buckets and encrypting all log files can be a good measure.

4.Configuring Password Policy

Configuring Password Policy

Credential stuffing, password cracking, and force attacks are some of the common security attacks that cyber criminals utilize to target organizations and their users. Enforcing a strong password policy in the right place is vital to the safety of an organization because it can greatly reduce any possibilities of a security threat.

As an important step of AWS risk management, you can consider setting a password policy that describes a set of conditions for creating a password, modifying, and deleting. For example: implementing multi-factor authentication, a password renewal policy after a period of time, automating the lockout after numerous login attempts that have failed, etc.

5. Disable Root API Access and Secret Keys

With an introduction of the AWS identity and access management, the simple need for root users having unlimited access is over. A root user has complete permission to view and change anything within an environment.

More often than not, the root user accounts are created to give access to the system for administrative functions such as gathering information on the billing and activity. With the help of AWS IAM, users can be explicitly allowed to carry out functions because otherwise, no user is granted automatic access to everything. As a capability, this enables companies to increase agility without any additional risks.

What’s more, is the fact removing the remote access from the system is an easy and simple step that offers many security benefits. Besides creating a secure system as a whole, it also helps in enhancing the productivity of DevOps and other product teams by enabling the teams to operate securely through comfort and immediate management of AWS infrastructure security.

6. Implement Identity and Access Management

Implement Identity and Access Management Best Practices

IAM is known as an AWS service that offers user provisioning and access control capabilities for the AWS users. The AWS administrators can use the IAM to create and manage users and groups for applying granular permission rules for limiting access to the AWS APIs and resources. For making the most use of IAM, organizations must do the following things:

  • While creating IAM policies make sure that they are attached to roles or groups as opposed to the individual users for minimizing the risk of an individual user getting unnecessary permissions or excessive privileges by accident.
  • Make sure that the IAM users are given the least number of access privileges to the AWS resources that still enable them to complete their job responsibilities.
  • Provision access to a resource that uses IAM roles rather than providing an individual set of credentials for access that ensure any possible misplaced or compromised credentials leading to unauthorized access to the resource.
  • Rotate the IAM access keys frequently and standardize a selected number of days for password expiration for ensuring that the data cannot be accessed with a potential stolen key.
  • Make sure that all IAM users have a multifactor authentication activated for individual accounts and restrict the number of IAM users with administrative privileges.

7. Encrypt Data Regularly

Encrypt Data Regularly

Each organization should create frequent backups of the data. In the AWS cloud services, a backup strategy relies on the existing IT setup, industry requirements, and the nature of data. Backing up of the data provides flexible backup and restores solutions that protect your data against any cyber thefts and security breaches.

Using the AWS Backup is extremely viable because it provides a centralized console for managing and automating the backup across the AWS services. It helps in integrating the Amazon DynamoDB, Amazon EFS, Amazon Storage Gateway, Amazon EBS, and Amazon RDS for enabling regular backups of key data stores such as file systems, storage volumes, and databases.

8. Data Policies

All data is not created in an equal measure, which basically means that classifying the data in the right way is important for ensuring security. It is rather important to accommodate the difficult tradeoffs between a stringent security environment and a flexible agile environment. Basically, a strict security posture requires lengthy access control procedures that guarantee data security.

However, a security posture can work in counter to the fast-paced and agile development environments where the developers need self-service access to data stores. Designing an approach to data classification helps in meeting a wide range of access requirements.

The day in which data classification is done does not have to be binary as public or private. Data can rather come in different degrees of sensitivity while having multiple levels of confidentiality and sensitivity. Design the data security controls with a suitable mix of detective and preventive controls for matching data sensitivity suitably.

9. Form a Security Culture

Working on the security best practices of AWS cloud services is more like a top to bottom effort with each member of the organization taking complete responsibility. Particularly in the present time when there is a lack of cybersecurity professionals, it is harder to find individuals who are skilled in the latest technologies and tools.

Irrespective of whether you have a committed security team or no employees, make sure that you train all the employees about the significance of data security and the ways in which they can contribute to strengthening the overall security of the organization.

10. Limit the Security Groups

Limit the Security Groups

Security groups are an important way to enable network access to resources provisioned on AWS. Make sure that only the needed ports are open and the connection is enabled from the known network ranges because that is a foundational approach to security.

You can also use services such as AWS Firewall Manager and AWS coding to ensure programmatically that the virtual private cloud security group configuration is what you intend. The rules of network reachability analyze the network configuration for determining if the Amazon EC2 instance can be reached from external networks.

The internet, AWS Direct Connect, AWS Firewall Manager can also be used to apply AWS WAF rules to the internet-facing resources across different AWS accounts.

Conclusion

When you shift to an AWS cloud infrastructure or grow the existing AWS, there will be a need to take a profound look into the safety of AWS infrastructure. In addition, the users also need to stay updated with the new changes so that better and more holistic security measures can be adopted.

The best practice mentioned above can help a great deal in maintaining the security of the AWS ecosystem. However, if you need any more assistance or support in ensuring the same, getting in touch with the team of Encaptechno can be extremely helpful.

Reach out to ensure effective implementation of security practices.

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