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Category: Cloud Services

Generative AI in Cloud Management - How It Makes a Difference
April 10, 2025

Generative AI in Cloud Management – How It Makes a Difference?

Introduction

Cloud management is getting harder as organizations grow across services, regions, and platforms. Even with automation tools, teams still struggle to make real-time decisions, forecast usage, or adjust resources fast. This is where Generative AI makes a difference. It’s not just another tool, it’s a smarter way to manage, secure, and optimize the cloud. In this blog, we explore why Gen AI is becoming essential for cloud teams today.

The Problem with Traditional Cloud Management 

Even when we have automation tools and monitoring solutions, cloud management can be rather a guessing game. Engineers use over-provision machines on a just in case basis. It may seem like reading tea leaves just to forecast cloud costs when the usage patterns are fast changing. It is not uncommon to find configuration errors, policy mismanagement, and slow incident response. DevOps teams that may be working in several cloud providers and regions may find it overwhelming. 

So, What Exactly Is Generative AI?

Generative AI is a type of model trained to create new content, such as text, images, or infrastructure-as-code, by extrapolating from the vast amounts of data it has been exposed to. Unlike traditional automation, which operates based on fixed rules, gen AI can understand intent, make suggestions, model scenarios, simulate outcomes, and even write scripts. 

When applied to cloud management, this means AI is not just following predefined rules—it can actively help define those rules, becoming an integral part of decision-making and resource optimization. 

5 Ways Generative AI Is Changing the Game

1. Smarter Resource Optimization

Rather than respond to CPU alerts or spikes in network traffic, generative models are able to analyze past utilization, anticipate future requirements, and indicate the most resource optimization-effective configuration of resources, in some cases down to specific instance type or storage category. This not only costs less, but increases performance, as resources are more customized to the work load.

2. Forecasting Cloud Spend More Accurately

By having the usage history on bills, the generative AI will be able to predict upon the next billing costs based on the trend and upcoming changes and seasons. Delivery teams will be able to identify cost aberrations before they become budget overruns and make more confident decisions.

3. Faster Infrastructure Provisioning

Generative models are able to generate Terraform or CloudFormation templates by translating natural-language descriptions. To put it in an example, a user may tell the tool what he needs: The base configuration, the place to configure: A high-availability Kubernetes cluster with autoscaling and logging enabled, and that will issue him the base configuration in seconds.
This reduces entry cost for new engineers and the amount of time spent on boilerplate code.

4. Early Detection of Issues

And some of the latest AI systems pick through logs, metrics, and user behavior to uncover patterns that indicate future ills such as resource leaks, security flaws, or unsound deployments. Exposing them early allows the teams to correct problems before they affect customers.

5. Automating Security and Compliance Checks

Generative AI is able to interpret your code in the infrastructures and compare it with best practices or compliance guidelines such as CIS or HIPAA. It may point out dangerous settings, propose them amended, or even change unsafe policies mechanically.

Real-World Adoption Is Already Underway

  • Amazon CodeWhisperer is helping developers write cloud configuration scripts more quickly and securely. 
  • Gemini AI is being integrated into Google Cloud consoles to assist with resource management and intelligent recommendations. 
  • Startup and enterprise teams are experimenting with open-source tools to: 
    • Generate policy-as-code 
    • Detect anomalies 
    • Optimize workloads 
  • This is no longer a futuristic concept—it’s already happening, especially in ecosystems like Android, and the pace is accelerating. 

The Payoff for Cloud Teams

The benefits for cloud and DevOps teams go far beyond just convenience: 

  • Reduced manual effort – Less time spent fine-tuning infrastructure by hand. 
  • Fewer billing surprises – More predictable monthly cloud costs. 
  • Improved security and compliance clarity – Easier to track, enforce, and audit policies. 
  • Better alignment between engineering and finance – Shared visibility into usage and spending. 

All of this means fewer late nights—and a shift toward more predictable, manageable operations. 

Challenges to Keep in Mind

With that said, generative AI is not flawless. In some cases, it hallucinates, or, in other words, it gives out either inaccurate or overconfident answers. And any slight misconfiguration in cloud systems is costly or risky. 
Human control, therefore, remains important. AI should be considered by teams as co-pilot, not autopilot.  
Furthermore, privacy and security of data is still of concern. Even powerful tools that use AI need to safeguard sensitive configurations or usage patterns. 

The Road Ahead

As generative AI tools continue to mature, deeper integration with cloud platforms is inevitable. Imagine the possibilities of interacting with your cloud infrastructure the same way you would with a support engineer: 

  • “Where is my storage expense high this month?” 
  • “What can I do to minimize latency in Europe?” 
  • “Roll out a dev environment similar to the staging setup.” 

These kinds of natural, conversational interactions are no longer science fiction—they’re quickly becoming reality. And they hold the promise of making cloud management not just easier, but significantly smarter and more intuitive. 

Conclusion

Generative AI is here to stay, and it can be used as an assistant by any cloud resource manager. It is changing how modern infrastructure is operated by assisting teams with automating the repetitive, predicting the unexpected and simplifying the complex.

April 10, 2025
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Using-Ansible-with-Windows-Client-on-AWS
April 25, 2024

Using Ansible with Windows Client on AWS: A Step-by-Step Guide 

In this blog, we'll walk you through step by step guide for setting up Ansible to manage a Windows Client running on AWS EC2.
Read More
April 25, 2024
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How to Create an ECS Instance in Huawei Cloud using Terraform
April 11, 2024

How to Create an ECS Instance in Huawei Cloud using Terraform 

Huawei Cloud is designed to help organizations of all sizes leverage cloud technology to enhance their IT infrastructure.
Read More
April 11, 2024
0
Active Directory
June 30, 2020

Are Cloud-based Directory Services replacing Active Directory?

Active directory turns 20 this year! 

There is a lot of talk in the community about whether AD is outdated and whether other Cloud-based directory services will replace AD. Before we jump to any conclusion, lets first understand AD in its entirety. 

Active Directory (AD) is a Microsoft’s Directory Service for Windows domain networks. Active Directory handles centralized domain management and directory-based identity-related services. It is a framework on which other services such as Certificate Services, Federated Services deployed.

How does Active Directory work?

Active Directory stores data as objects. An object is an element, which may be user, group, application, or device, such as a printer. Objects are general resources –such as printers or computers — or security principals — such as users or groups.

The server which runs Active Directory Domain Service(AD DS) is called a domain controller. Authenticating and authorizing all users and computers in a Windows domain type network is done by AD DS. When a user login into a computer then the active directory checks the submitted user and password and determines whether the user is a system administrator or user. It manages and stores information, provides authentication and authorization mechanisms, and makes a framework to deploy related services: Certificate Services, Active Directory Federation Services, Lightweight Directory Services, and Rights Management Services.

Active Directory Services :

Following are the services provided by Active Directory :

1. Domain Services – stores information of members such as users, devices, their access rights, and credentials. The server running this service is called a domain controller.

2. Lightweight Directory Services – it is an implementation of LDAP protocol

3. Directory Federation Services – It is a single-sign-on (SSO) service. It may be useful when a user is registered with several web services with the same credentials. So federation services enable us to use the same credentials for different networks.

4. Certificate Services – It creates and validates public key certificates for an organization. We can use these certificates to encrypt files, emails, and network traffic.

5. Rights Management – It provides development and management tools to help organizations to protect information.

AD objects :

The individual component of an organization is called Objects in Active Directory. Active Directory stores data as objects. Following is the list of AD Objects :

  • Contact: A contact object is used to store the contact of vendors or suppliers, who are not in the employ of the organization. Only the name of the person and the contact details are stored.
  • User: Member of the organization in the AD is denoted by a User. The user contains information about the first name, last name, email address, and associated groups.
  • Printer: This object contains information about all the printers in the network
  • Computer: This object contains information about all the computers in the network
  • Shared folder: This allows users to access folders from other computers on the network that have been marked as shared. Only folders, and not individual files, can be shared. If you want to share an individual file then it should be placed inside a shared folder.
  • Group: It is a collection of directory objects. It contains computers, users, other groups, and other AD objects. Group has 2 types
    • Distribution groups – used with emails application to send emails to the collection of users.
    • Security groups– used to assign access to resources on the network

E.g For your organization, if you want to give access to certain documents to only particular departments. Network administrators will create a group containing all members of the department and provide them to access file servers containing that document.

  • Organizational units (OUs): OUs help in structuring your network resources in an easy to locate manner. In OU you can place users, printers, computers, groups, and other OUs.Each domain can create its own OUs.
  • Builtin: Several user accounts and group accounts are automatically created when you install an active directory for the first time.

Benefits of Active Directory :

Here are some benefits of AD:

  • Central Storage– Active Directory provides a centralized storage repository for users’ files. If you save your files on the central server then other users of the domain can access them.
  • Better Backup– If a user’s machine is attacked by a cyberattack, all of the files on that machine may become inaccessible. However, if they were saved to a central storage location, it would be easily recovered from central storage.
  • Cut Costs– Active Directory is easy to scale up or down.
  • Improved Security– As the network administrator has control over the domain in AD, they can implement new security measures when necessary. This can include installing new antivirus software onto each machine, or making sensitive documents inaccessible so they don’t fall into the wrong hands.  

Cloud-based Directory Services:

There have been many new entrants in this space with the likes of Okta, JumpCloud, and others that are providing alternatives to what was the market-leading directory service. Enterprises are more distributed than ever before and applications are being deployed in Cloud making it imperative to have a directory service that can be centrally administered and managed. Microsoft with its Federated AD service in Azure (ADFS) has provided an extension of AD in the cloud. Okta, a pure SaaS service provider,  is another alternative for businesses looking at a cloud based SSO solution. 

Neova has expertise in Active Directory, Azure ADFS, Okta, and JumpCloud and can help organizations integrate their application with one or multiple of these directory service providers.

June 30, 2020
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Heroku
June 8, 2020

How to deploy an app on Heroku?

What is Heroku

Heroku is a cloud platform – Platform as a Service which is a container-based fully managed system on AWS. Data Services, Ad-ons, Plug-ins are fully integrated into Heroku for deployment and execution of modern applications.   

The Heroku provides the developer-centric approach which helps users to be associated closely with the tools and workflows integrated with it.  

Heroku is a Platform as a Service built on top of AWS, which provides a ready runtime environment and servers which eventually benefit development and DevOps teams for seamless integration to different development tools.

How does it work?

When the code is pushed to Heroku Git, a slug (VM) gets created and it launches the VM (called dyno) to validate and update the environment with the required libraries for the code pushed. 

The dynos are nothing but lightweight Linux containers.

When you push your code to the Heroku container, it converts it into a slug and autoruns all your migrations and scripts. Your application is hosted.

How it’s different

The platform is built keeping in mind that developers can integrate applications easily. Heroku is a fully managed platform that helps developers focus more on application development.

You can provision a new application on Heroku in seconds. Deploying your code and restarting your processes typically take just a few minutes.

Advantages

  • Heroku provides the facility to add application config variables and change the way your app behaves.
  • Heroku has an inbuilt OS and related services. There is no need to configure the infrastructure required for the application. A novice person can do the deployment without focusing on infrastructure.
  • Easy subscription plans to enroll as per the requirements.
  • Wonderful live dashboard for application/platform performance monitoring.
  • Notification/Alerting system for any critical/configured spikes 
  • Heroku provides add-ons for all your needs. You name it, they have it.
  • Heroku Scheduler to schedule any task that you want to run on a regular basis.
  • Support from Modern Open Source Languages (Node.js, Java, Ruby, PHP, Python, Go, Scala, Clojure)
  • No need for a DevOps Engineer to maintain the Heroku platform.

Try yourself:

5 Steps to deploy your application on Heroku:

Create a personal app:

1. Login to Heroku

Under personal apps, click on create a new app

Choose a personal app under team drop down and add the app. name

Click on create an app

2. Install Heroku

$ sudo add-apt-repository “deb https://cli-assets.heroku.com/branches/stable/apt ./”
     $ curl -L https://cli-assets.heroku.com/apt/release.key sudo apt-key add –
     $ sudo apt-get update
     $ sudo apt-get install Heroku

3. Login to Heroku using: Heroku login

4. Create a Heroku directory in local

$ git remote add Heroku your_heroku_repo_url
$ git remote -v This should have two remotes origin pointing to your git and Heroku
$ pointing to your Heroku repository

5. To deploy your application

$ git push heroku master: this will deploy your code on Heroku

Challenges using Heroku

  • Inbound and outbound latency is high. 
  • Heroku does not allow you to run any other services on dynos. 
  • It proves to be expensive for large and high-traffic apps.
  • Limited in types of instances
  • Not ideally suited for heavy-computing projects.

Conclusion:

Big Brands like Toyota Europe, Citrix, Westfield, Yesware, and SaleForce are a few examples who use the Heroku platform. 

We have an expert team of engineers who can help you implement Heroku. Please feel free to connect in case of any queries.

June 8, 2020
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Cloudflare
June 7, 2020

Why should you consider Cloudflare?

What is Web Application Firewall?

A web application firewall (or WAF) channels, screens, and blocks HTTP traffic to and from a web application. A WAF is separated from a regular firewall, in that a WAF can channel the substance of explicit web applications while ordinary firewalls fill in as a security door between servers. By reviewing HTTP traffic, prevent attacks stemming from web application security flaws, for instance, SQL injection, cross-site scripting (XSS), document incorporation, and security misconfigurations.

Web application firewalls are probably the most grounded guard a web application has, however they can be helpless if the firewall variant utilized is known to an aggressor. Understanding which firewall an object is utilizing can be the initial step to a programmer finding how to move beyond it and what guards are set up on an objective. What’s more, the instruments Wafw00f and Nmap make fingerprinting firewalls simple.

While most web app firewalls, or WAFs, are pretty good at defending the services they protect, they occasionally become vulnerable when an exploitable flaw is discovered. If a firewall hasn’t been updated in quite some time, it can be easy to figure out the rules of a firewall and work around them to establish a foothold inside. Manually doing this is incredibly tedious and relies on interpreting the distinctive ways that the WAF responds to specific web requests.

Some of the WAF providers:

Below are few of the Web Application firewalls that are widely used.

  • Cloudflare
  • Fortinet
  • Sucuri
  • Symantec

So, why Cloudflare?

According to cloudflare.com; Cloudflare is one of the biggest networks operating on the Internet. People use Cloudflare services for the needs of accelerating the safety and performance of their internet sites and services.

Cloudflare conveys undertaking grade WAF for shielding the web property from SQL injection attacks, cross-site scripting, and cross-site fraud demands.

Cloudflare WAF gets naturally refreshed when another security defenselessness is discharged. It makes rules to alleviate the new dangers on the system.

For more grounded security, the Cloudflare WAF ensures the ventures against the best 10 OWASP (Open Web Application Security Project) vulnerabilities. These vulnerabilities incorporate touchy information introduction, XML External Entities (XXE), Broken Access Control, Security Misconfiguration, Cross-Site Scripting (XSS), Insecure Deserialization, Broken Authentication and Session Management, infusion, known vulnerabilities, deficient logging and observing.

Further, it assists undertakings with meeting the PCI consistency prerequisites to deal with the charge card data of customers. The PCI consistency can be met by conveying a WAF before the site, or by leading application powerlessness security surveys of in-scope web applications.

Apart from the WAF, cloudflare also provides a free Content delivery Network (CDN) which allows for the quick transfer of assets needed for loading Internet content including HTML pages, javascript files, stylesheets, images, and videos. A properly configured CDN may also help protect websites against some common malicious attacks, such as Distributed Denial of Service (DDOS) attacks. Below are the primary benefits of using the CDN.

  • Improving website load times
  • Reducing bandwidth costs
  • Increasing content availability and redundancy
  • Improving website security

Conclusion:

We have an expert team to help you with the deployment/ implementation of the firewall.  In case of any queries reach out to us.  

June 7, 2020
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CIS Benchmark
April 17, 2020

AWS CIS Compliance Test: A Cloud Security Requirement

What is CIS Benchmarks ?

Center for Internet Security (CIS) Benchmark for AWS is the best practices & recommendations for the secure configuration of AWS Accounts. CIS Benchmarks are the only consensus-based, best-practice security configuration guides both developed and accepted by the government, industry, academia, and business. The Benchmark recommendation document provides prescriptive guidance for configuring security options for a subset of Amazon Web Services with an emphasis on foundational, testable, and architecture agnostic settings. Specific Amazon Web Services in scope for this document include:  

  • AWS Identity and Access Management (IAM)  
  • AWS Config  
  • AWS CloudTrail  
  • AWS CloudWatch  
  • AWS Simple Notification Service (SNS)  
  • AWS Simple Storage Service (S3)  
  • AWS VPC (Default) 

The CIS AWS Foundation document v1.2.0 enlist 49 recommendations categorized across features into 

  • IAM
  • Logging
  • Monitoring
  • Networking

How does one test for compliance with the Benchmarks ?

Manually validating each recommendation across your AWS account can be cumbersome and exhaustive. This approach may be prone to human errors and with the growing number of resources across your AWS account, it would be nearly impossible to timely test the compliance. 

Automated compliance check is the only option that can timely deliver the compliance checks on your AWS account. With AWS SDKs, CLI and API’s available, any approach can be used to automate the compliance checks for CIS Benchmarks. 

An Example – 

Recommendation 2.3 – Ensure the S3 bucket used to store CloudTrail logs is not publicly accessible (Scored) 

Description: CloudTrail logs a record of every API call made in your AWS account. These log files are stored in an S3 bucket. It is recommended that the bucket policy, or access control list (ACL), applied to the S3 bucket that CloudTrail logs to prevent public access to the CloudTrail logs.

Manual Steps via the Management Console

1. Go to the Amazon CloudTrail console at https://console.aws.amazon.com/cloudtrail/home 

2. In the API activity history pane on the left, click Trails 

3. In the Trails pane, note the bucket names in the S3 bucket column 

4. Go to Amazon S3 console at https://console.aws.amazon.com/s3/home 

5. For each bucket noted in step 3, right-click on the bucket and click Properties 

6. In the Properties pane, click the Permissions tab. 

7. The tab shows a list of grants, one row per grant, in the bucket ACL. Each row identifies the grantee and the permissions granted. 

8. Ensure no rows exist that have the Grantee set to Everyone or the Grantee set to Any Authenticated User. 

9. If the Edit bucket policy button is present, click it to review the bucket policy. 

10. Ensure the policy does not contain a Statement having an Effect set to Allow and a Principal set to “*” or {“AWS” : “*”} 

Automated Approach using CLI –

1. Get the name of the S3 bucket that CloudTrail is logging to: 

aws cloudtrail describe-trails --query 'trailList[*].S3BucketName'

2. Ensure the AllUsers principal is not granted privileges to that <bucket>:

aws s3api get-bucket-acl --bucket <s3_bucket_for_cloudtrail> --query 'Grants[?Grantee.URI== `http://acs.amazonaws.com/groups/global/AllUsers` ]'

3. Ensure the AuthenticatedUsers principal is not granted privileges to that <bucket>:

aws s3api get-bucket-acl --bucket <s3_bucket_for_cloudtrail> --query 'Grants[?Grantee.URI== `http://acs.amazonaws.com/groups/global/Authenticated Users` ]'

4. Get the S3 Bucket Policy

aws s3api get-bucket-policy --bucket <s3_bucket_for_cloudtrail>
April 17, 2020
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AWS CloudTrail Security Checklist: Improve AWS Cloud Security
April 13, 2020

AWS CloudTrail Security Checklist: Improve AWS Cloud Security

What Is AWS CloudTrail?

AWS CloudTrail is an AWS service that lets you identify activities across your AWS account. It records actions taken by a user, role, or an AWS service as events. These events include actions in the AWS Management Console, AWS CLI, SDKs and APIs.  

CloudTrail is by default enabled on your AWS account when you create it and store data for 90 days. In addition, you can create a CloudTrail trail to analyze, archive and respond to changes in AWS resources. A trail is a configuration that stores and delivers events to Amazon S3 bucket.

Checklist to secure AWS CloudTrail:

  1. Enable CloudTrail across all AWS regions: This will enable CloudTrail logging across all regions of your AWS environment, thus monitoring every configured activity.
  2. Enable MFA for CloudTrail S3 bucket access: With MFA turned on for accessing  CloudTrail designated S3 buckets, chances of infiltrators deleting logs are almost zero.
  3. Enable S3 bucket logging: Enabling S3 logging ensures all the S3 actions are tracked, thus helping in forensic and audits.
  4. Create an S3 Lifecycle: You can define an S3 lifecycle rules to archive CloudTrail log files automatically. 
  5. Access Controls for CloudTrail S3 buckets: Create a bucket policy that allows only required resources to have access to these logs.
  6. Encrypt logs at rest: CloudTrail event log files are encrypted using Amazon S3 server-side encryption (SSE). One can choose to encrypt using AWS KMS as well.
  7. Cloudwatch Alarm for CloudTrail: Create a metric and an alarm, for events like CloudTrail S3 logs deleted. 
AWS CloudTrail Security Checklist: Improve AWS Cloud Security

We have a competent and excellent team of QA experts, who can help you with more details on it. 

Drop your queries at sales@neovatechsolutions.com to schedule a meeting with our experts.

April 13, 2020
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