Forem: Nishath J P

AWS 2025 Recap: A Year Where Cloud Became Smarter, Simpler, and More Human

Nishath J P — Wed, 31 Dec 2025 18:35:03 +0000

If 2024 was about scaling cloud faster, 2025 was about making cloud make sense.

AWS didn’t just launch new services this year — it refined how developers, DevOps engineers, and architects actually work. From AI deeply embedding itself into daily workflows to major improvements in serverless, security, and cost optimization, 2025 quietly reshaped AWS into a more intelligent and developer-friendly platform.

Here’s a clean recap of the most important AWS updates and shifts in 2025, explained in a way that actually feels useful.

1. AI Is No Longer a Feature — It’s the Foundation

In 2025, AWS stopped treating AI as a separate “thing” and started baking it into everything.

Key highlights:

Amazon Bedrock matured into a production-ready AI platform, not just a model playground.
Native support for multiple foundation models (Anthropic, Meta, Mistral, Amazon Titan) improved drastically.
Fine-tuning, guardrails, and evaluation tools became easier and cheaper.
AI workloads now integrate smoothly with Lambda, Step Functions, S3, and DynamoDB.

Big shift:

AI on AWS is no longer just for ML engineers. Backend developers, DevOps teams, and even cloud admins are now using AI as part of normal architecture.

2. Amazon Q Became the “Cloud Copilot” We Actually Needed

Amazon Q quietly became one of AWS’s most impactful launches.

In 2025, Q evolved from a chatbot into a context-aware assistant that understands:

Your AWS account
Your architecture
Your logs, metrics, and cost data
Your infrastructure code

What made it powerful:

Natural language troubleshooting for CloudWatch and X-Ray
Security explanations for IAM and GuardDuty findings
Cost optimization suggestions that actually make sense
Code assistance inside IDEs for AWS SDKs and IaC

Reality check:

Amazon Q didn’t replace engineers — it reduced cognitive load. And that’s a win.

3. Serverless Grew Up (Finally)

AWS doubled down on serverless maturity, not just features.

Important improvements:

AWS Lambda cold starts reduced further, especially for Java and .NET
Better VPC networking performance for serverless apps
Step Functions gained more expressive workflows with lower execution cost
EventBridge became more predictable for large-scale event routing

The real win:

You can now build serious production systems entirely serverless without hacks, workarounds, or hidden costs.

Serverless in 2025 feels stable, not experimental.

4. Containers & ECS Quietly Won Another Year

While Kubernetes still dominates headlines, AWS ECS continued winning real workloads.

2025 updates focused on:

Better ECS + ALB integration
Improved auto scaling signals
Lower Fargate networking overhead
Easier blue/green deployments

ECS didn’t try to become Kubernetes.

It focused on doing one thing extremely well: running containers on AWS with minimal effort.

For many teams, ECS + Fargate in 2025 is the lowest-stress container platform available.

5. Security Shifted from Reactive to Preventive

AWS security in 2025 felt less like alerts and more like guidance.

Major improvements:

IAM Access Analyzer became more actionable
GuardDuty findings became clearer and prioritized
Security Hub correlations improved
Default encryption, logging, and isolation got stronger

The biggest change:

AWS started preventing bad architectures instead of just warning about them.

Security became something you design once, not firefight daily.

6. Cost Optimization Became Smarter (and Less Painful)

2025 acknowledged a hard truth: cloud bills were hurting teams.

AWS responded with:

Smarter cost anomaly detection
Better visibility into NAT Gateway, data transfer, and idle resources
Improved Savings Plans recommendations
Clearer breakdowns for serverless and AI workloads

Cost optimization moved from:

“Read a 30-page bill”

to

“Here’s what’s wrong and how to fix it.”

That’s progress.

7. Networking & Architecture Became More Opinionated

AWS in 2025 leaned into best-practice architecture by default.

ALB and NLB usage became more intuitive
VPC design guidance improved
Cross-region and multi-AZ architectures got easier
High availability became the default, not an advanced topic

AWS started nudging users toward well-architected systems, instead of letting bad designs silently fail later.

8. DevOps Felt More Integrated Than Ever

CI/CD, infrastructure, monitoring, and security started feeling like one workflow.

CodePipeline and CodeBuild improved reliability
IaC (CloudFormation, CDK, Terraform) became more consistent
Observability with CloudWatch, OpenTelemetry, and X-Ray improved
Fewer third-party tools were mandatory

In 2025, AWS felt closer to a complete DevOps platform, not just a collection of services.

Final Thoughts: AWS in 2025 Is About Clarity

AWS 2025 wasn’t flashy — and that’s exactly why it mattered.

This year focused on:

Reducing complexity
Embedding intelligence
Improving defaults
Helping engineers make better decisions faster

AWS didn’t try to be trendy.

It tried to be useful.

And honestly? That’s the best kind of update.

If you’re a developer, DevOps engineer, or cloud architect:

2025 was the year AWS stopped asking “What can we build?”

and started asking “How can we make this easier for humans?”

🔐 Advanced IAM for the AWS Solutions Architect – Associate (SAA-C03) Exam

Nishath J P — Thu, 30 Oct 2025 18:00:35 +0000

AWS Organizations

• Global service
• Allows to manage multiple AWS accounts
• The main account is the management account
• Other accounts are member accounts
• Member accounts can only be part of one organization
• Consolidated Billing across all accounts - single payment method
• Pricing benefits from aggregated usage (volume discount for EC2, S3…)
• Shared reserved instances and Savings Plans discounts across accounts
• API is available to automate AWS account creation

Advantages

• Multi Account vs One Account Multi VPC
• Use tagging standards for billing purposes
• Enable CloudTrail on all accounts, send logs to central S3 account
• Send CloudWatch Logs to central logging account
• Establish Cross Account Roles for Admin purposes

Security: Service Control Policies (SCP)
• IAM policies applied to OU or Accounts to restrict Users and Roles
• They do not apply to the management account (full admin power)
• Must have an explicit allow from the root through each OU in the direct path
to the target account (does not allow anything by default – like IAM)

SCP Hierarchy

Management Account
• Can do anything (no SCP apply)
Account A
• Can do anything
• EXCEPT S3 (explicit Deny from
Sandbox OU)
• EXCEPT EC2 (explicit Deny)
Account B & C
• Can do anything
• EXCEPT S3 (explicit Deny from
Sandbox OU)
Account D
• Can access EC2
Prod OU & Account E & F
• Can do anything

SCP strategies

Allowlist : Allows all actions and deny particular ones.
Denylist : Denys all actions and allows particular ones.

AWS Organizations –Tag Policies

• Helps you standardize tags across resources in an AWS Organization
• Ensure consistent tags, audit tagged resources,maintain proper resources categorization, …
• You define tag keys and their allowed values • Helps with AWS Cost Allocation Tags and Attribute-based Access Control
• Prevent any non-compliant tagging operations on specified services and resources (has no effect on resources without tags)
• Generate a report that lists all tagged/non-compliant resources
• Use EventBridge to monitor non-compliant tags

IAM Conditions
aws:SourceIp
restrict the client IP from which the API calls are being made

aws:RequestedRegion
restrict the region the API calls are made to

ec2:ResourceTag
restrict based on tags

aws:MultiFactorAuthPresent
to force MFA

*IAM for S3 *
• s3:ListBucket permission applies to arn:aws:s3:::test
• bucket level permission • s3:GetObject, s3:PutObject, s3:DeleteObject applies to arn:awn:s3:::test/*
• object level permission

Resource Policies & aws:PrincipalOrgID

• aws:PrincipalOrgID can be used in any resource policies to restrict
access to accounts that are member of an AWS Organization

IAM Roles vs Resource Based Policies

• Cross account:
• attaching a resource-based policy to a resource (example: S3 bucket policy)
• OR using a role as a proxy

IAM Roles vs Resource-Based Policies

• When you assume a role (user, application or service), you give up your
original permissions and take the permissions assigned to the role
• When using a resource-based policy, the principal doesn’t have to give up his
permissions
• Example: User in account A needs to scan a DynamoDB table in Account A
and dump it in an S3 bucket in Account B.
• Supported by: Amazon S3 buckets, SNS topics, SQS queues, etc…

Amazon EventBridge – Security

• When a rule runs, it needs permissions on the target
• Resource-based policy: Lambda, SNS, SQS, S3 buckets, API Gateway…
• IAM role: EC2 Auto Scaling, Systems Manager Run Command, ECS task…

IAM Permission Boundaries

• IAM Permission Boundaries are supported for users and roles (not groups)
• Advanced feature to use a managed policy to set the maximum permissions
an IAM entity can get.
Can be used in combinations of
AWS Organizations SCP
https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_boundaries.html
Use cases
• Delegate responsibilities to non administrators within their permission boundaries, for example create new IAM users
• Allow developers to self-assign policies and manage their own permissions, while making sure they can’t “escalate” their privileges (= make themselves admin)
• Useful to restrict one specific user (instead of a whole account using Organizations & SCP)

IAM Policy Evaluation Logic

AWS IAM Identity Center (successor to AWS Single Sign-On)

• One login (single sign-on) for all your
• AWS accounts in AWS Organizations
• Business cloud applications (e.g., Salesforce, Box, Microsoft 365, …)
• SAML2.0-enabled applications
• EC2 Windows Instances
• Identity providers
• Built-in identity store in IAM Identity Center
• 3rd party: Active Directory (AD), OneLogin, Okta…

AWS IAM Identity Center Fine-grained Permissions and Assignments
• Multi-Account Permissions
• Manage access across AWS accounts in your AWS Organization
• Permission Sets – a collection of one or more IAM Policies assigned to users and groups to define AWS access
• Application Assignments
• SSO access to many SAML 2.0 business applications (Salesforce, Box, Microsoft 365, …)
• Provide required URLs, certificates, and metadata
• Attribute-Based Access Control (ABAC)
• Fine-grained permissions based on users’ attributes stored in IAM Identity Center Identity Store
• Example: cost center, title, locale, …
• Use case: Define permissions once, then modify AWS access by changing the attributes

Microsoft Active Directory (AD)

• Found on any Windows Server with AD Domain Services
• Database of objects: User Accounts, Computers, Printers, File Shares, Security Groups
• Centralized security management, create account, assign permissions
• Objects are organized in trees
• A group of trees is a forest

AWS Directory Services

AWS Managed Microsoft AD
• Create your own AD in AWS, manage users
locally, supports MFA
• Establish “trust” connections with your on- premises AD

AD Connector
• Directory Gateway (proxy) to redirect to on- premises AD, supports MFA
• Users are managed on the on-premises AD

Simple AD
• AD-compatible managed directory on AWS
• Cannot be joined with on-premises AD

IAM Identity Center – Active Directory Setup

• Connect to an AWS Managed Microsoft AD (Directory Service)
• Integration is out of the box
• Connect to a Self-Managed Directory
• Create Two-way Trust Relationship using AWS Managed Microsoft AD
• Create an AD Connector

AWS Control Tower

• Easy way to set up and govern a secure and compliant multi-account AWS environment based on best practices
• AWS Control Tower uses AWS Organizations to create accounts
Benefits:
• Automate the set up of your environment in a few clicks
• Automate ongoing policy management using guardrails
• Detect policy violations and remediate them
• Monitor compliance through an interactive dashboard

AWS Control Tower – Guardrails
• Provides ongoing governance for your Control Tower environment (AWS Accounts)
• Preventive Guardrail – using SCPs (e.g., Restrict Regions across all your accounts)
• Detective Guardrail – using AWS Config (e.g., identify untagged resources)

🧩 Conclusion

Mastering AWS Identity and Access Management (IAM) is one of the most crucial skills for the Solutions Architect – Associate (SAA-C03) exam. Beyond passing the certification, understanding IAM’s depth helps you design secure, scalable, and compliant architectures in real-world AWS environments.

From Organizations and SCPs to Permission Boundaries and IAM Identity Center, each feature plays a role in maintaining the principle of least privilege while supporting flexibility across multi-account setups.

When preparing for the exam, focus not only on memorizing IAM terms but also on how they connect—for example, how SCPs differ from IAM policies, or how ABAC complements tagging strategies.
Practical experience—such as building and testing roles, cross-account access, and SSO configurations—will reinforce these concepts and make your knowledge exam-ready and job-ready.

Keep exploring AWS documentation and hands-on labs to strengthen your foundation, and remember:

“Security in the cloud is not just a checkbox — it’s a mindset.”

If you are preparing for SAA-C03 exam this is for you a complete IAM guide

Nishath J P — Mon, 20 Oct 2025 15:09:04 +0000

🔐 Mastering IAM for the AWS Solutions Architect – Associate (SAA-C03) Exam

Nishath J P ・ Oct 20

#awschallenge #cloud #aws #devops

🔐 Mastering IAM for the AWS Solutions Architect – Associate (SAA-C03) Exam

Nishath J P — Mon, 20 Oct 2025 15:07:19 +0000

If you’re preparing for the AWS Solutions Architect – Associate (SAA-C03) exam, then Identity and Access Management (IAM) is one topic you can’t afford to skip.

Every single AWS service relies on IAM for authentication and authorization, making it a core part of almost every exam question.

In this post, I’ll break down IAM concepts, best practices, and common exam scenarios so you can confidently answer any IAM-related question that appears on your SAA-C03 exam. This blog only cover theory part but you also need to practice.🚀

IAM: Users & Groups

IAM = Identity and Access Management, It's a Global service
Root account is created by default, Which shouldn’t be used or shared
Users are people within your organization, and can be grouped
Note : Groups only contain users, not other groups
Users don’t have to belong to a single group, and user can belong to multiple groups

IAM: Permissions

The permissions of the users are defined as Policies
Policies is JSON document
Users or Groups can be assigned to a policies
In AWS you apply the least privilege principle: don’t give more permissions than a user needs
Policy can be inherited from the group which user belongs
We can also set a password policy on how the password must be for the user

example policy
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": "ec2:Describe*", "Resource": "*" }, { "Effect": "Allow", "Action": "elasticloadbalancing:Describe*" , "Resource": "*" }, { "Effect": "Allow", "Action": [ "cloudwatch:ListMetrics", "cloudwatch:GetMetricStatistics", "cloudwatch:Describe*" ], "Resource": "*" }
IAM Policies Structure
Consists of

Version: policy language version, always include “2012-10-17”
Id: an identifier for the policy (optional) • Statement: one or more individual statements (required)
Statements consists of • Sid: an identifier for the statement (optional) - Effect: whether the statement allows or denies access (Allow, Deny)
Principal: account/user/role to which this policy applied to
Action: list of actions this policy allows or denies • Resource: list of resources to which the actions applied to
Condition: conditions for when this policy is in effect (optional)

Multi Factor Authentication - MFA

Users have access to your account and can possibly change configurations or delete resources in your AWS account
You want to protect your Root Accounts and IAM users
MFA = password you know + security device you own
Main benefit of MFA: if a password is stolen or hacked, the account is not compromised

MFA devices options in AWS

Virtual MFA device
Universal 2nd Factor (U2F) Security Key
Hardware Key Fob MFA Device
Hardware Key Fob MFA Device for AWS GovCloud (US)

How can users access AWS ?

To access AWS, you have three options:
AWS Management Console (protected by password + MFA)
AWS Command Line Interface (CLI): protected by access keys
AWS Software Developer Kit (SDK) - for code: protected by access keys
Access Keys are generated through the AWS Console
Users manage their own access keys
Access Keys are secret, just like a password. Don’t share them
Access Key ID ~= username
Secret Access Key ~= password

What’s the AWS CLI?

A tool that enables you to interact with AWS services using commands in your command-line shell
Direct access to the public APIs of AWS services
You can develop scripts to manage your resources
It’s open-source https://github.com/aws/aws-cli
Alternative to using AWS Management Console

What’s the AWS SDK?

AWS Software Development Kit (AWS SDK)
Language-specific APIs (set of libraries)
Enables you to access and manage AWS services programmatically
Embedded within your application
Supports
SDKs (JavaScript, Python, PHP, .NET, Ruby, Java, Go, Node.js, C++)
Mobile SDKs (Android, iOS, …)
IoT Device SDKs (Embedded C, Arduino, …)
Example: AWS CLI is built on AWS SDK for Python

IAM Roles for Services

Some AWS service will need to perform actions on your behalf
To do so, we will assign permissions to AWS services with IAM Roles Common roles:
EC2 Instance Roles
Lambda Function Roles
Roles for CloudFormation

IAM Security Tools

IAM Credentials Report (account-level)

A report that lists all your account's users and the status of their various credentials IAM Access Advisor (user-level)
Access advisor shows the service permissions granted to a user and when those services were last accessed.
You can use this information to revise your policies

IAM Guidelines & Best Practices

Don’t use the root account except for AWS account setup
One physical user = One AWS user
Assign users to groups and assign permissions to groups
Create a strong password policy
Use and enforce the use of Multi Factor Authentication (MFA)
Create and use Roles for giving permissions to AWS services
Use Access Keys for Programmatic Access (CLI / SDK)
Audit permissions of your account using IAM Credentials Report & IAM Access Advisor
Never share IAM users & Access Keys

Would you like me to make a Part 2 version — something like “Advanced IAM Concepts for SAA-C03 (Permission Boundaries, SCPs & Federation)” — to continue this as a blog series?

[Boost]

Nishath J P — Tue, 14 Oct 2025 06:37:27 +0000

AWS September 2025 Recap — AI Agents, Managed Compute, and Cloud Sovereignty Take Center Stage

Nishath J P ・ Oct 13

#ai #aws #news

AWS September 2025 Recap — AI Agents, Managed Compute, and Cloud Sovereignty Take Center Stage

Nishath J P — Mon, 13 Oct 2025 18:01:15 +0000

A Quick Glance at the Month

Agentic AI received a significant boost with fresh releases to Amazon Bedrock AgentCore as well as new entrant Strands Agents.

Containers were made easier to handle with the release of ECS Managed Instances.

☁️ Storage & Networking received some valuable new features — including IPv6 within Control Tower, along with new features within S3.

Sovereign Cloud & compliance took the spotlight with a massive AWS + SAP collaboration in Europe.

Community & developer programs were extended worldwide with new hackathons, AWS Lofts, and Summits.

Let's go deeper 👇

🤖 The Agentic Age of AI: AWS Raises the Bar

AWS interest in AI agents — self-contained systems that can think, reason, and take action independently — was front and center this month.

🧵 Threads Agents Hit 1 Million Downloads

The open-source Strands Agents SDK exceeded the 1 million download barrier three months after the debut of the preview version.

It now includes:

Multi-agent cooperation
Improved A2A (agent-to-agent) procedures
Simplified integration with AgentCore

This surge shows how quickly developers are experimenting with AWS’s ecosystem for agentic AI — building intelligent assistants, workflow bots, and enterprise-grade automation systems.

Go to the official AWS blog article

🧩 AgentCore Goes Enterprise

The Amazon Bedrock AgentCore also had some real upgrades:

✅ VPC connectivity & PrivateLink support

✅ Increased governance with resource tagging

✅ Integration of CloudFormation with IaC (Infrastructure as Code)

These enhancements enable enterprises to easily deploy secure, scalable AI agents that remain compliant and auditable.

All the latest news

🌍 World AI Agent Hackathon

To encourage innovation, AWS launched a Global AI Agent Hackathon where devs build agents with Strands and Bedrock — with prizes, mentorship, and AWS credits on the line.

It seems that AWS wishes to spark a community around agent development the same way Hugging Face sparked one around models.

🐳 Enhancing Containers with Amazon ECS Managed Instances

Containers were given a big usability upgrade with the introduction of Amazon ECS Managed Instances.

This feature lets you:

Run ECS containers on EC2-like environments
Do away with the trouble of provisioning, patching, or node scaling
Choose default (cost-optimized), or customer-defined instance configurations

It's essentially the sweet spot between EC2 control and Fargate simplicity — perfect for teams that want flexibility but with less ops overhead.

Read the message

🧠 Storage & Networking: S3 und IPv6 werden schwärmerisch

September saw some slight but notable infrastructural enhancements.

Amazon S3 Enhancements

Bulk object selection for S3 Batch Operations
Conditional Deletes for General-Purpose Buckets
Larger scanning file size capacity of the archives
See S3 tables preview in the console

These characteristics facilitate data operation in a smoother and efficient manner — especially for teams dealing with enormous object collections.

🌐 IPv6 Support Added to AWS Control Tower

AWS Control Tower is IPv6 enabled, allowing easy management of dual-stack and powering new networking topologies within accounts.

And yes, AWS also made new Asia Pacific (New Zealand) regions available — yet another steady expansion around the world.

🇪🇺 Cloud Sovereignty: SAP und AWS kommen in Europa zusammen

Perhaps the biggest cloud news this month — AWS and SAP made an announcement about partnering to bring SAP's Sovereign Cloud capabilities to the AWS European Sovereign Cloud.

The deal involves a €7.8 billion investment to allow the public sector and highly regulated industries to benefit from data residency alongside data sovereignty compliance.

This alliance is yet another indication that AWS is very committed to localized control along with compliance — something that has gained momentum across the globe.

Full announcement on SAP Newsroom

🎥 Media & Entertainment: Shining at IBC2025 with AWS

At IBC 2025 (Amsterdam, September 12–15), AWS showed how media workflows are being transformed with generative AI.

A prominent demo saw Reuters collaborate with AWS to show off a next-gen news distribution platform running on:

Amazon S3
AWS MediaConvert
Step Functions
AI-driven metadata tagging

This kind of end-to-end automation can redefine the manner in which broadcasters generate and distribute video.

👩‍💻 Developer Community Highlights

Gen AI Lofts & Conferences

AWS continued to expand the Gen AI Loft sessions — free, hands-on experiences where one could experiment with AWS's AI products in real time.

AWS Summit Los Angeles 2025 brought together thousands of builders along with keynotes, training, and product previews.

☁️ Cloud Club & Hack

AWS continued to expand its Cloud Club Captain program — supporting student leaders and area developer groups.

Along with the continuing hackathons, it becomes obvious that AWS is making significant investment in ground-level developer involvement.

🧭 Key Points — The Bottom Line

These are what generated most interest this month:

Agentic AI is no hype — it's the next big frontier in AWS.

With Strands Agents and AgentCore, Amazon Web Services is creating the plumbing of smart, self-contained systems.
Containers just became simpler to deal with.

ECS Managed Instances are a lifesaver for teams balancing cost control and convenience.
The sovereign cloud is here to stay.

The SAP + AWS alliance demonstrates that data control and compliance will be the core of enterprise cloud strategies.
Developer experience remains front of mind.

From Lofts to Hackathons, AWS is making sure the ecosystem stays dynamic, inclusive, and community-focused.

🔮 Q4 2025 Things to Watch

With the year coming to a close soon, some things to look out for are:

AWS re:Invent 2025 — Huge announcements will be coming around AI, compute, and automation.
Potential public release of "Quick Suite", the speculated internal workspace of AWS's AI.
Expansion of the Sovereign Cloud regions beyond Europe.
Even more "managed but flexible" compute layers, like ECS Managed Instances.
Deeper integration of AI capabilities into regular day-to-day AWS services.

🏁 Final Thoughts

AWS is obviously in acceleration mode.

The drive to quicker rollouts, AI-first infrastructure, and worldwide compliance is the rising cloud space competitiveness.

That equates to additional equipment, automation, and — most important of all — possibilities to be different, to innovate.

If you happen to be working with agentic AI, managed containers, or self-sovereign cloud deployments, there were hints released this month on where exactly AWS is heading next.

Want Some tips to pass your AWS Solutions Architect Exam Check this Blog

Nishath J P — Sun, 05 Oct 2025 14:11:33 +0000

How I Passed the AWS Solutions Architect Associate (SAA-C03) Exam with 863 Marks

Nishath J P ・ Oct 1

#awschallenge #cloud #devops #beginners

Want Some tips to pass your AWS Solutions Architect Exam read this Blog

Nishath J P — Sun, 05 Oct 2025 14:10:38 +0000

How I Passed the AWS Solutions Architect Associate (SAA-C03) Exam with 863 Marks

Nishath J P ・ Oct 1

#awschallenge #cloud #devops #beginners

How I Passed the AWS Solutions Architect Associate (SAA-C03) Exam with 863 Marks

Nishath J P — Wed, 01 Oct 2025 16:31:58 +0000

On September 29, 2025, I cleared my AWS Certified Solutions Architect – Associate (SAA-C03) exam with the score of 863/1000. This milestone is special for me, because just a few months ago I knew very little about AWS like the full form Amazon web services and what is s3.
To my knowledge at that time I though S3 is just like google drive.

From that point with consistent effort, the right resources, and a structured approach, I was able to crack Solutions Architect Associate exam. In this blog, I’ll share my journey, preparation strategy, and key takeaways.

Courses you need

First of all you must need a basic knowledge to on AWS to start preparing for this exam.

I started preparing for AWS Certified Cloud Practitioner at the start of July 1st week 2025.
For that I took [NEW] Ultimate AWS Certified Cloud Practitioner CLF-C02 2025 course from Udemy by Stephane Maarek. The best course to build your foundations it also includes a full length practice test you can use it to test your knowledge.
It took me about 10 days to complete it.

Note - If you already have good foundational knowledge then skip this part.

Then its time to prepare for the SSA-CO3 exam with Ultimate AWS Certified Solutions Architect Associate 2025 course on Udemy by Stephane Maarek.
This one course will give you enough knowledge to take practice tests the course it self has a practice use it to test your knowledge.

This course also includes a study material which he uses to teach. Go through the pdf 2 to 3 times. Take notes and understand the concepts deeply.

Identify your weak areas and do research on it.
Use Chatgpt, AWS whitepapers, Youtube etc... resources.

After you again some confidence get a Udemy personal subscription plan which give you access to all the courses in it.

Practice test

Now comes the hard part you must start taking practice test from

Stephane Maarek
Jon Bonso and
Neal Davis

each one has a practice test of 6 which means total 18.
Plus each of them has their own course which also have one practice test So, total of 21 test.

Try to take them all.

I took them all because this is my first AWS exam and it is Associate level which made me bit nervous about the actual exam.

First take Stephane Maarek practice test which will make you recall all the concepts but it does not resemble actual exam but good to have it.

After taking carefully review the answers and mistake.

If you are good enough to get above 80% in first attempt in all the 6 test.
_If you didn't make it no problem reviews the answer and retake one more time from the oldest test you took. _

Note- Don't take more than two attempts.

Then go for Jon Bonso and Neal Davis practice test take alternatively both highly resemble actual exam.

Might be harder for some if you feel that way review the answers and for more details you can use study material from Neal Davis course he provides two study material.

Full length Notes
Exam Cramp Notes

Both are highly useful Exam Cramp is a shorter version of notes high recommended for revision purpose only not for studying.

Now also try to take 80% or above. Most of the actual exam questions will be like Neal Davis and some will be like Jon Bonso practice test.
Try to complete under 1:30 hr time

But don't memorize the questions try to understand because AWS has over 1 million question sets.

So, understanding is the crucial thing here.

Take it Slowly it took me more than 1 and a half months.

Before the Exam Day

A couple of days before the exam don't take any practice test if you want there is a official practice test from AWS which has around 20 question that is enough don't take too much.

Just go through the mistakes you made in the practice test figure out your weak point try to gain knowledge on it go through the study material take it easy, sleep well.

Clean your room and table for the exam. And be prepared.

On the exam day

You might feel nervous it is normal I also felt that way.
So, take a Walk, meditate and relax.

The exam will be easier than the practice test but you should take the practice test seriously.

Get a chewing gum you can use those in exam but no food, beverages or breaks for restroom.

Take a government Id with you in the exam.

Spend a good amount of time to read each question take 1 to 2 mins per question if you can't find the answer flag it and review it later. Don't sit on single question for long time.

> Go by elimination method eliminate the options that are your are sure incorrect and choose the option which makes more sense to you.

If you finish the exam early review the questions again.

_After finishing you will receive the email about passing mostly with in 24hr to 5days.
But I received in 8hrs.
_

ALL the Best for you exams it is not impossible but need some hard work. That's it, once again ALL the best.

Want to know what AWS bought us on August 2025? A quick recap 👇

Nishath J P — Mon, 08 Sep 2025 15:15:55 +0000

🚀 AWS August 2025 Recap: AI Guardrails, VMware on AWS, Marketplace in India & Prime Day Scale

Nishath J P ・ Sep 6

#ai #aws #awschallenge #cloud

Want to know what AWS bought us on August 2025? A quick recap👇

Nishath J P — Mon, 08 Sep 2025 15:15:20 +0000

Nishath J P

Sep 6 '25

🚀 AWS August 2025 Recap: AI Guardrails, VMware on AWS, Marketplace in India & Prime Day Scale

#ai #aws #awschallenge #cloud

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🚀 AWS August 2025 Recap: AI Guardrails, VMware on AWS, Marketplace in India & Prime Day Scale

Nishath J P — Sat, 06 Sep 2025 16:33:17 +0000

AWS had many update on August 2025
From new AI guardrails to seamless VMware migration, from a global-scale stress test during Prime Day to a game-changing AWS Marketplace launch in India — the updates this month highlight AWS’s focus on trust, modernization, and global expansion.

🛠 Major Product Announcements

🔹 Amazon Bedrock Guardrails – Smarter & Safer AI

*What is AWS Bedrock?

Amazon Bedrock is a comprehensive, secure, and flexible service for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs), services to deploy and operate agents, and tools for fine-tuning, safeguarding, and optimizing models along with knowledge bases to connect applications to your latest data so that you have everything you need to quickly move from experimentation to real-world deployment.

Definition by AWS
In Short words it is a Service used to build generative AI applications and agents.

What is Bedrock Guardrails?

It is like a safety filter of AI models

Example
When you use an AI model (like for chatbots, text generation, or analysis), sometimes it can:

Say something unsafe or offensive

Reveal sensitive information

Or just make things up (hallucinations)

Guardrails prevent that.
They are rules you set (like “don’t share personal data” or “avoid medical advice”), and AWS makes sure the AI follows those rules every time it responds.

👉 In short: Guardrails = AI safety rules that keep outputs accurate, safe, and compliant.

Now they introduced new features in AWS Bedrock Guardrails on August 6 2025

Automated Reasoning Checks — Now Generally Available

What It Is: A technology using formal verification and mathematical logic to assess AI model outputs against predefined business rules or domain knowledge. It offers up to 99% accuracy in validating that responses are accurate and aligned with policies — essentially reducing hallucinations and ambiguity

Key Capabilities:

Support for large documents—up to 122,880 tokens (text scans of ~100 pages)
Simplified policy validation—save and rerun tests over time
Automated scenario generation—auto-generate test cases from rule definitions
Enhanced feedback—natural language suggestions for refining policies
Custom validation thresholds—tune confidence levels per enterprise needs

🔹 OpenAI Models on AWS

AWS announced that OpenAI’s open-weight models are now available on Amazon Bedrock.

Until now, Amazon Bedrock had already integrated leading foundation models (FMs) from A*nthropic (Claude), **Cohere (Command-R), Stability AI *(Stable Diffusion),** AI21 Labs, and Mistral.

But now OpenAI Models are also added.

🔹 Amazon Application Recovery Controller Region Switch

What is Amazon ARC?

** Amazon Application Recovery Controller** helps you manage and automate recovery of your applications across AWS Regions and Availability Zones (AZs). These capabilities make it easier to reliably recover applications without the manual steps required by traditional tools and processes.

Definition by AWS

With the August 2025 update, AWS introduced Region Switch for Application Recovery Controller (ARC), a powerful new feature that makes cross-region disaster recovery simpler, faster, and automated.
For more info

🔹 Amazon Elastic VMware Service (Amazon EVS) – Detailed Breakdown

What is AWS EVS?

Amazon EVS is a new managed service that lets enterprises run VMware Cloud Foundation (VCF) directly inside their own AWS VPCs.

You bring your VMware-based workloads (vSphere, vSAN, NSX, vCenter).
AWS runs it for you natively in the cloud, without the need for complex re-architecting.
You still use the same VMware tools your IT teams already know — no steep learning curve.

Why it matters?

Seamless Hybrid Cloud
Familiar VMware Tools + AWS Elasticity

👉 In short:
Amazon EVS bridges the VMware-to-cloud gap, letting enterprises modernize faster by combining the familiarity of VMware with the scalability of AWS.

🔹 🌏 AWS Marketplace in India

It is Launching by end of 2025 in India.
Some key points are enables INR billing, simplified procurement, and regulatory alignment.
Opens global AWS customers to Indian SaaS vendors.

💡 Why it matters: A huge unlock for India’s SaaS ecosystem, giving startups global reach.

I already posted a detailed Blog on this So check it out.
Click Here 🤟

👥 Community & Learning – August 2024 Updates

🌟 AWS Heroes Program
**
**What is it?
It is a program that recognizes exceptional community leaders who share knowledge, create content, speak at events, and help others grow in the AWS ecosystem.

Now new Recognitions are added in August 2024:

AI/ML Heroes → Experts pushing boundaries in generative AI, ML Ops, and applying AWS services like SageMaker & Bedrock.
Serverless Heroes → Builders who drive adoption of serverless services (Lambda, DynamoDB, Step Functions, API Gateway) through real-world solutions.
Security Heroes → Specialists helping organizations implement best practices with IAM, GuardDuty, Security Hub, KMS, and more.

📈 Prime Day 2025 – AWS at Scale

Prime Day once again proved AWS’s global-scale resilience:

We all know that Prime Day Sales is the Amazon's Biggest global shopping event and Amazon is running in AWS cloud infrastructure.

Since Amazon runs on AWS, AWS actually use this has a stress test
for AWS infrastructure.

Some highlights this time are:

SageMaker → 626B inference requests.
ECS & Fargate → 18.4M tasks/day (+77% YoY).
Lambda → 1.7T invocations/day.
API Gateway → 1T+ requests/day.
CloudFront → 3T requests (+43% YoY).
EBS → 20.3T I/O ops, 1 exabyte/day.
Aurora → 500B transactions.
SQS → 166M msgs/sec peak.
GuardDuty → 8.9T log events/hour (+49%).

💡 Why it matters: Prime Day acts as AWS’s ultimate stress test — proving unmatched elasticity and reliability.

✅ Final Thoughts

I think I covered almost everything that happened last month (August 2025).

If I missed anything, share it to me through comment😉.