The journey of data from On-Prem to the cloud

Modern organizations no longer have to rely on expensive, inflexible, and resource-intensive on-premises server centers to host hardware, software, and data. Thanks to the cloud, they can host all their applications and data elsewhere, pay only for the resources you use, and expand or shrink as their business grows.

But despite the many benefits of cloud service, IT teams still need to manage, optimize, and protect their cloud data assets. Here, Cloud Data Asset Management is really valuable.

What is Data Asset Management?

If all modern organizations have one valuable asset to accelerate innovation, improve the customer experience, streamline business, and improve our competitive position — it is certainly knowledge. Data assets include customer names, addresses, and financial information, as well as access information, internal documents, software applications, databases, websites, and more. Businesses spend a lot of time and energy collecting, managing and securing these funds. And more and more often they turn to the cloud to simplify these needs.

Cloud repositories include everything that stores and processes data, including computing resources such as servers or repositories, storage features such as object repositories or blocked storage spaces, and platform instances such as databases or queues.

Data Asset Management includes data asset maintenance, updates, disposal, and compliance.

Better visibility for cloud data

Often, organizations do not have a clear view of their cloud infrastructure, making it difficult to track resources and data, leading to sub-optimal processes, causing inaccuracies in asset inventory, and increasing costs.

With Cloud Data Asset Management, organizations can:

  • Track cloud resource locations
  • Identify the relationships between them
  • Plan preventive maintenance
  • Improve operational and financial reporting
  • Manage funds cost-effectively

Better data management in DevOps

In the DevOps environment, cloud data issues limit the ability to continuously integrate, test, and deploy application releases. In a hurry to deliver, integrate, test, and deploy application code, teams are missing important information about data such as:

  • How it is entered, used, stored and scaled
  • How to protect it from corruption or loss
  • How data types change over time
  • How to update old databases for new uses

If such issues are not addressed early, it will lead to a poor database architecture decision later and poor DevOps results in general.

Cloud Data Asset Management provides a clear framework for engineers and DevOps managers to address these issues and address security vulnerabilities at an early stage.

Tagging cloud resources for cloud data management

As organizations rely more on multi-cloud environments, they have to contend with an increasingly complex infrastructure. Tags allow companies to understand what resources are being used for and how they are connected to each other. They can monitor their cloud loads, understand costs, and improve documentation of their cloud environment.

What is a Cloud Resource Tag?

A tag is a “label” defined for the use of metadata customized for a cloud resource. Individual resources, such as virtual machines and databases, resource groups, and a top-level cloud tenant, can all be tagged.

Each tag is defined as a key-value pair. The key defines the type of tag, which is determined by its value. So in a DevOps environment, the key can be an “environment” with multiple values, such as “staging” or “production”.

When based on consistent rules and used globally across all resources, resource tags provide better visibility into the distributed cloud environment.

Adding tags in public clouds

All major public service providers offer coding capabilities. The table below shows how tagging is used by different cloud providers.

Managing cloud data assets and tagging cloud resources

Such identifiers, such as an instance ID or subdomain, are created automatically by CSPs and cannot be changed by the organization. Usually they contain long strings of letters and numbers.

CSPs support two types of tags.

  • Clear coding: Allows organizations to add a specific context to cloud services
  • Implicit Encoding: Sets certain naming conventions for cloud account resources

With user-defined tags, DevOps teams can enrich their cloud resources with relevant information and better track cloud information.

The benefits of cloud resource labeling

Tags allow teams to improve collaboration and efficiency between units, for example between DevOps and Finance. With cloud tags, companies can also design a robust management system to manage cost allocation, optimization, recovery, reporting, and compliance.

Adding tags will improve the cyber security of cloud services. DevOps teams can identify and track resources that contain personal information and detect breaches of security policies. It also simplifies access control, so administrators can ensure that only the right users can access the right resources.

Tags support application staging, automatic backups, and automatic startup or shutdown of instances. This helps minimize errors and allows the development team to focus on generating value rather than manual backups.

Adding tags makes it easier to manage operations, allowing administrators to identify resources to update.

Standardization of cloud tags

As an organization’s cloud services expand, multiple identifiers can make cloud management more difficult. It is therefore important to define a standardized naming convention and implement it globally and consistently.

Different service providers have their own requirements for the allowed characters, the number of characters, and the font size of the tags. For organizations using multiple cloud environments, coding name standards should be consistent with all of these different policies.

Identification in AWS

AWS tags must meet the following specifications:

  • In most cases, up to 50 tags can be assigned to a cloud data resource
  • S3 objects can have up to 10 tags per resource
  • The tag key for each resource must be unique and have only one value
  • Any characters can be used for EC2 tags
  • Character limit: 128 for keys, 256 for values
  • All keys and values ​​in the tags are case sensitive

Adding AZURE and GCP tags

Sky blue

GCP

The number of tags allowed per resource

Up to 50

Up to 64 (“stickers”)

Character restriction: keys

512

63

Character limit: values

256

63

Font size

No

Yeah

Allowed characters

<>% & /? not allowed

Lowercase letters, numbers, underscores, hyphens

Cloud Tag Enforcement Practices

Tag policies allow organizations to standardize tags in cloud resources. They also simplify cloud management. For example, a policy may specify that the “cost center tag” tag must use case-specific processing and tag values.

Includes cloud services coding policy As an infrastructure code (IaC) models do not require manual implementation of cloud tagging policies. Magalix provides hundreds of built – in, coded templates and practices that allow tags to be easily defined in IaC, add tags consistently to all projects and resources, and automate the process.

Organizations can also implement and control coding as a practical code. For example, to mark an S3 bucket, a policy can be specified so that the necessary identifiers for missing deployments fail. This ensures that the team never forgets to add tags to each cloud resource.

Magalix policies can help you force tags and tags into all of your cloud repositories, including data assets such as AWS S3 repositories, repository volumes, etc. Protect your data with the right configurations and security settings using Magalix’s encrypted policies.

Explore the Magalix Policy Library with a 30-day free trial

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