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Cloud Training and Support

DP 900 Azure Data Fundamental Training

Hindi tutorial on Microsoft Azure Data Fundamentals DP-900 by Shailesh Kumar.

    

•Over the last couple of decades, the amount of data generated by systems, applications, and devices has increased significantly. Data is everywhere, in a multitude of structures and formats.

•Data is now easier to collect and cheaper to store, making it accessible to nearly every business. Data solutions include software technologies and platforms that can help facilitate the collection, analysis, and storage of valuable information. Every business would like to grow their revenues and make larger profits. 

•In this competitive market, data is an asset. When analyzed properly, data provides a wealth of useful information and informs critical business decisions.

•The capability to capture, store, and analyze data is a core requirement for every organization in the world.

  

•Identify common data formats

•Describe options for storing data in files

•Describe options for storing data in databases

•Describe characteristics of transactional data processing solutions

•Describe characteristics of analytical data processing solutions

  Data is a collection of facts such as numbers, descriptions, and observations used to record information. Data structures in which this data is organized often represents entities that are important to an organization (such as customers, products, sales orders, and so on). Each entity typically has one or more attributes or characteristics. 

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https://youtu.be/B4luSRfq8X0?si=KDmSkjkFOvdzhtoR


DP-300 Administering Microsoft Azure SQL Solutions

Promotional graphic for Microsoft Azure SQL solutions in Hindi on Independence Day.

 Understanding Azure Database Administrator responsibilities, and how they relate to other Microsoft Intelligent Data Platform roles, is important to performing the tasks and duties expected for this function.

In general, cloud services can be broken down into two sets of services: 

Infrastructure as a Service (IaaS) and 

Platform as a Service (PaaS).

IaaS services typically consist of virtual machines, storage, and virtual networking components, and are largely managed by the user in terms of patching and software. 

Alternatively, PaaS services have a larger percentage of management tasks, which are handled by the cloud provider.

•Understand the role of Azure Database Administrator, and other data platform roles

•Describe the key differences between the SQL Server-based database options in Azure

•Describe other features for Azure SQL platforms available

  

Azure SQL Database is a Platform as a Service (PaaS) that provides high scalability capabilities, and it can be a great solution for certain workloads and requires minimal maintenance efforts.

It is aimed at new application development as it gives developers a great deal of flexibility in building new application services, and granular deployment options at scale. 

SQL Database offers a low maintenance solution that can be a great option for certain workloads.


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Coming Soon

Azure services for open-source databases

Title slide on MySQL and MariaDB performance tuning by Shailesh Kumar.

MySQL, MariaDB, and PostgreSQL are relational database management systems that are tailored for different specializations.


 How to Improve DB Server Performance With Tuning 

  • Balance the Hardware Resources And OS
  • System Performance Tuning for DBMS/RDBMS

 Tips For Better Database performance tuning and Optimization (Any RDBMS)

  1.  Structured Query Language (SQL) is a special-purpose programming language used to store, manipulate, and retrieve data from the database. It has found applications in many relational database systems including MySQL, PostgreSQL, Oracle, MSSQL Server, IBM DB2 and others.
  2. By using SQL statements, developers easily carry out various functional database operations such as creating, updating, and deleting data.
  3. As data volumes grow, and technology becomes increasingly complex, it is becoming more important to optimize MySQL databases properly to deliver end-user experience and to lower infrastructure costs. 
  4. MySQL performance tuning tools can help database professionals quickly identify bottlenecks, target insufficient operations through a review of query execution plans, and eliminate any guessing games.
  5. Please visit below link and share.


https://youtu.be/JOcnr6c-7L8?si=5hrWZP2fFWQDTNLA

Monitor & Performance Tuning of Database by Using DMVs

Promotional graphic for database monitoring and tuning by Shailesh Kumar, IT consultant.

 Dynamic Management View Objects - DMVOs 

  • Dynamic Management Views Objects
  • Added in SQL Server 2005
  • Regularly enhanced
  • Now more than 230+ DMVs in SQL server2022 
  • Views over internal memory structures
  • Data may be inconsistent
  • Deliver a vast amount of information

Step by Step database performance tuning Guide

Step by Step database performance tuning Guide

Step-by-step database performance tuning guide by Shailesh Kumar, DB and IT Infra Consultant.

žOverview: The Tuning Process

žBalance the Four Main Hardware Resources and OS First


žProfiler / DTA

žUsing DMVs

žTemp db

žUsing Extended events


Coming Soon

Know AWS 2026: Professional Training Guide

 Welcome to the comprehensive training manual for Know AWS 2026. This document is designed to provide a deep dive into the core services and architectural pillars that define the modern AWS ecosystem. Whether you are a Cloud Architect, a Developer, or a Database Administrator, this guide serves as your roadmap to mastering the cloud. 

 

🏗️ 1. Compute Services

The engine that powers your applications.

  • 🖥️ EC2 (Elastic Compute Cloud): Resizable virtual servers in the cloud. Provides complete control over your computing resources.
  • ⚡ Lambda: Run code without thinking about servers. A serverless compute service that scales automatically.
  • ⚖️ Auto Scaling: Automatically adjust capacity to maintain steady, predictable performance at the lowest possible cost.
  • 🌱 Elastic Beanstalk: An easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker.

📦 2. Storage Solutions

Reliable, scalable, and secure data storage.

  • 🪣 S3 (Simple Storage Service): Scalable object storage for any amount of data—perfect for data lakes, websites, and backups.
  • 💾 EBS (Elastic Block Store): High-performance block storage for Amazon EC2 instances.
  • 📂 EFS (Elastic File System): Scalable, managed network file storage (NFS) for Linux-based workloads.
  • 🧊 Glacier: Extremely low-cost archive storage for long-term data retention and digital preservation.

🌐 3. Networking & Content Delivery

Building a secure and isolated network environment.

  • 🛡️ VPC (Virtual Private Cloud): A logically isolated virtual network in the AWS cloud.
  • 🗺️ Subnets: Segment your VPC into smaller, manageable networks to improve security and traffic flow.
  • 🚦 Route Tables: A set of rules (routes) used to determine where network traffic is directed.
  • 🔌 NAT Gateway: Allows private resources to access the internet while preventing the internet from initiating a connection with them.
  • 🚪 IGW (Internet Gateway): A horizontally scaled, redundant, and highly available VPC component that allows communication between your VPC and the internet.
  • 🛑 NACL (Network Access Control List): An optional layer of security for your VPC that acts as a firewall for controlling traffic in and out of one or more subnets.

🗄️ 4. Databases

Managed database services for every need.

  • 🐘 RDS (Relational Database Service): Managed relational database service for MySQL, PostgreSQL, Oracle, and SQL Server.
  • ⚡ DynamoDB: A fast, flexible NoSQL database service for single-digit millisecond latency at any scale.
  • 🌅 Aurora: A MySQL and PostgreSQL-compatible relational database built for the cloud.
  • 🍷 Redshift: A fast, fully managed, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all your data.
  • 🚀 ElastiCache: In-memory caching service (Redis or Memcached) to improve application performance.

🔐 5. Security & Identity

Protecting your data, accounts, and workloads.

  • 👤 IAM (Identity & Access Management): Securely manage access to AWS services and resources.
  • 🔑 KMS (Key Management Service): Create and manage cryptographic keys to encrypt your data.
  • 🆔 Cognito: Add user sign-up, sign-in, and access control to your web and mobile apps.
  • 🎟️ STS (Security Token Service): Request temporary, limited-privilege credentials for users.
  • 🤫 Secrets Manager: Easily rotate, manage, and retrieve database credentials, API keys, and other secrets.
  • 🛡️ GuardDuty: A continuous security monitoring service that analyzes and processes data to identify unexpected and potentially unauthorized activity.

⚙️ 6. DevOps & Monitoring

Automating and observing your infrastructure.

  • 👁️ CloudWatch: Monitor resources and applications in real-time using metrics, logs, and alarms.
  • 📜 CloudTrail: Track user activity and API usage across your AWS infrastructure for auditing.
  • 🚀 CodeDeploy: Automate code deployments to any instance, including EC2 and on-premises servers.
  • 🛤️ CodePipeline: A fully managed continuous delivery service that helps you automate your release pipelines.
  • 🏗️ CloudFormation: Provision and manage a collection of related AWS resources using templates (Infrastructure as Code).
  • 🩺 X-Ray: Analyze and debug distributed applications, such as those built using a microservices architecture.

📊 7. Analytics

Turning raw data into actionable insights.

  • 🔍 Athena: An interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.
  • 🐘 EMR (Elastic MapReduce): Process vast amounts of data using managed Hadoop and Spark frameworks.
  • 📈 QuickSight: A fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization.

🔌 8. Application Integration

Connecting services to build complex workflows.

  • 📩 SQS (Simple Queue Service): A fully managed message queuing service that enables you to decouple and scale microservices.
  • 📣 SNS (Simple Notification Service): A fully managed Pub/Sub messaging service for both microservices and distributed systems.
  • 🌉 EventBridge: A serverless event bus that makes it easy to connect applications using data from your own apps and AWS services.
  • ⛓️ Step Functions: Coordinate multiple AWS services into serverless workflows.
  • 🚪 API Gateway: A fully managed service that makes it easy for developers to create, publish, and secure APIs at any scale.

 

🌟 Core Principles of AWS 2026

To build successfully on AWS, every architecture must adhere to these six foundational values:

  1. 📈 Scalable: Grow or shrink resources based on demand.
  2. 🔒 Secure: Implement multi-layered security at every level.
  3. 🤝 Reliable: Ensure systems are resilient and highly available.
  4. 💰 Cost Effective: Optimize spending and pay only for what you use.
  5. 🌍 Global: Deploy applications globally in minutes.
  6. 🤖 Automated: Use code to manage and deploy infrastructure.

End of Training Document For further inquiries, contact the SKY DBA Cloud Excellence Team.

Professional AWS Training Overview

 

This training guide is a professional reference guide for understanding the AWS ecosystem in 2026. 

It is designed for:

  • Beginners starting cloud learning
  • System administrators and database professionals
  • Application developers
  • DevOps engineers
  • Cloud architects
  • Teams preparing for AWS projects, internal training, or certification paths

This guide explains AWS services by category, their purpose, common use cases, benefits, and best practices. It follows a structured learning path from foundational concepts to advanced cloud design.

Introduction to AWS

 

What is AWS?

Amazon Web Services (AWS) is a cloud computing platform that provides on-demand IT services over the internet. Instead of buying and maintaining physical servers, storage devices, networking equipment, and data centers, organizations can use AWS resources as needed and pay only for what they consume.

AWS offers services across many domains, including:

  • Compute
  • Storage
  • Databases
  • Networking
  • Security
  • Monitoring
  • Governance
  • Analytics
  • Integration
  • Machine Learning
  • Edge and Content Delivery

Why AWS Matters

AWS is widely used because it helps organizations:

  • Scale infrastructure quickly
  • Reduce capital expense
  • Improve operational agility
  • Increase global reach
  • Strengthen security posture
  • Accelerate innovation

Core Value of AWS

AWS enables businesses to move from traditional infrastructure to a modern cloud model built on:

  • Elasticity
  • Reliability
  • Automation
  • Security
  • Global availability
  • Managed services

AWS Global Infrastructure

AWS provides a highly available and fault-tolerant global infrastructure.

Key Components

Regions

A Region is a physical geographic area where AWS has multiple data centers.

Examples:

  • US East
  • Europe
  • Asia Pacific
  • Middle East

Availability Zones

An Availability Zone (AZ) consists of one or more data centers within a region. AZs are isolated from each other to reduce the risk of simultaneous failure.

Edge Locations

Edge locations are used for low-latency content delivery through services such as CloudFront.

Benefits of AWS Global Infrastructure

  • High availability
  • Disaster recovery support
  • Low-latency application access
  • Geographic flexibility
  • Compliance support through regional deployment options

AWS Shared Responsibility Model

Security in AWS is based on a shared responsibility model.

AWS is Responsible For

Security of the cloud, including:

  • Physical data centers
  • Hardware
  • Networking infrastructure
  • Managed service platform security

Customer is Responsible For

Security in the cloud, including:

  • Identity and access settings
  • Data encryption choices
  • Application security
  • Operating system hardening where applicable
  • Network rules and configurations

This model is one of the most important concepts in AWS and must be understood before working with any service.


 

What are the AWS Service Categories ?

AWS services are commonly grouped into the following categories:

  • Compute
  • Storage
  • Databases
  • Networking
  • Security & Identity
  • DevOps & Monitoring
  • Management & Governance
  • Analytics
  • Application Integration
  • Machine Learning
  • Media Services
  • CloudFront & Edge

Each category serves a different purpose, but together they form a complete cloud platform.

 

AWS Core Principles

AWS cloud solutions should align with these principles:

Scalable

Resources should grow or shrink with demand.

Secure

Security must be built into every layer.

Reliable

Architectures should handle failures gracefully.

Cost Effective

Use only what is needed and optimize continuously.

Global

Applications should be deployable near users worldwide.

Automated

Manual work should be replaced with code and automation.

Innovative

Teams should continuously explore new services and improvements. 



AWS Services

 

Compute Services

Compute services provide the processing power to run workloads in AWS.

 Amazon EC2

What It Is?

Amazon EC2 (Elastic Compute Cloud) provides virtual servers in the cloud.

Key Features

  • Resizable compute capacity
  • Multiple instance types
  • Support for Windows and Linux
  • Full OS-level control
  • Integration with storage, security, and monitoring services

Common Use Cases

  • Web servers
  • Application servers
  • Enterprise systems
  • Batch processing
  • Custom business workloads

Benefits

  • Flexible sizing
  • Scalable deployment
  • High control
  • Reliable infrastructure

AWS Lambda

What It Is?

AWS Lambda is a serverless compute service that runs code in response to events.

Key Features

  • No server management
  • Automatic scaling
  • Pay per execution
  • Event-driven architecture
  • Supports multiple programming languages

Common Use Cases

  • API backends
  • File processing
  • Scheduled jobs
  • Automation workflows
  • Real-time event handling

Benefits

  • Faster development
  • Lower operational overhead
  • Built-in elasticity
  • Cost efficiency for variable workloads

Auto Scaling

What It Is ?

Auto Scaling automatically adjusts resource capacity to match application demand.

Key Features

  • Scale out during high traffic
  • Scale in during low demand
  • Improve availability
  • Optimize cost

Use Cases

  • E-commerce applications
  • Business portals
  • Event-driven workloads
  • Unpredictable traffic patterns

Benefits

  • Better performance
  • Cost optimization
  • Improved resilience

Elastic Beanstalk

What It Is ?

Elastic Beanstalk is a platform service for deploying and managing applications.

Key Features

  • Simplified deployment
  • Managed infrastructure
  • Integrated monitoring
  • Supports common application stacks

Use Cases

  • Web applications
  • Internal business applications
  • Development and testing environments

Benefits

  • Faster deployment
  • Reduced infrastructure complexity
  • Developer-friendly operations

Amazon Lightsail

What It Is ?

Lightsail is a simplified VPS solution for small workloads.

Key Features

  • Fixed pricing
  • Easy setup
  • Bundled compute, storage, and networking
  • Good for lightweight applications

Use Cases

  • Blogs
  • Small business sites
  • Simple hosting environments
  • Demo applications

Storage Services

AWS provides multiple storage types based on performance, access pattern, and cost.

 Amazon S3

What It Is ?

Amazon S3 is object storage for storing virtually unlimited amounts of data.

Key Features

  • Buckets and objects
  • High durability
  • Multiple storage classes
  • Lifecycle management
  • Versioning
  • Encryption support

Use Cases

  • Backups
  • Data lakes
  • Static website hosting
  • Application file storage
  • Log storage

Benefits

  • Massive scalability
  • Cost-effective storage tiers
  • Strong integration across AWS

Amazon EBS

What It Is ?

Amazon EBS is block storage for EC2 instances.

Key Features

  • Persistent disks
  • SSD and HDD types
  • Snapshots
  • High performance for transactional workloads

Use Cases

  • Databases
  • Operating system disks
  • Transactional applications
  • Enterprise workloads

 Amazon EFS

What It Is ?

Amazon EFS is a fully managed shared file system for Linux workloads.

Key Features

  • Scalable file storage
  • Multi-instance access
  • Managed availability
  • Simple integration with EC2

Use Cases

  • Shared application data
  • Content management systems
  • Analytics platforms
  • Container workloads

Amazon Glacier

What It Is ?

Amazon Glacier is archival storage for long-term retention.

Key Features

  • Low-cost storage
  • Long-term preservation
  • Compliance-friendly archive options
  • Flexible retrieval times

Use Cases

  • Regulatory records
  • Old backups
  • Historical archives
  • Digital preservation

 AWS Storage Gateway

What It Is ?

Storage Gateway connects on-premises storage systems with AWS storage services.

Key Features

  • Hybrid cloud integration
  • File, volume, and tape modes
  • Backup and recovery support

Use Cases

  • Hybrid backup
  • Legacy system integration
  • Cloud migration support

Database Services

AWS provides purpose-built databases for structured, unstructured, analytical, and high-performance use cases.

Amazon RDS

What It Is ?

Amazon RDS is a managed relational database service.

Supported Engines

  • MySQL
  • PostgreSQL
  • MariaDB
  • Oracle
  • SQL Server

Key Features

  • Automated backups
  • Patching
  • Monitoring
  • Multi-AZ deployment
  • Read replicas

Use Cases

  • Business applications
  • ERP systems
  • Operational databases
  • Standard transactional systems

 Amazon DynamoDB

What It Is ?

DynamoDB is a fully managed NoSQL database.

Key Features

  • Key-value and document model
  • Single-digit millisecond latency
  • Automatic scaling
  • Serverless model
  • Global tables

Use Cases

  • Mobile apps
  • IoT systems
  • Gaming applications
  • Session storage
  • High-scale APIs

 Amazon Aurora

What It Is ?

Aurora is a cloud-native relational database compatible with MySQL and PostgreSQL.

Key Features

  • High performance
  • High availability
  • Automated recovery
  • Managed maintenance
  • Read scalability

Use Cases

  • Mission-critical applications
  • High-performance transactional workloads
  • Modern enterprise systems

Amazon Redshift

What It Is ?

Redshift is a fully managed cloud data warehouse.

Key Features

  • Large-scale analytics
  • Fast query performance
  • Integration with BI tools
  • Structured data analysis

Use Cases

  • Reporting platforms
  • Business intelligence
  • Data warehousing
  • Enterprise analytics

Amazon ElastiCache

What It Is ?

ElastiCache is a managed in-memory caching service.

Engines

  • Redis
  • Memcached

Use Cases

  • Session storage
  • Real-time apps
  • Performance acceleration
  • Database offloading

Networking Services

Networking services define connectivity, traffic control, segmentation, and secure communication in AWS.

Amazon VPC

What It Is

Amazon VPC provides a logically isolated network in AWS.

Key Features

  • Custom IP address ranges
  • Public and private subnets
  • Route control
  • Gateway connectivity
  • Security layers

Use Cases

  • Application isolation
  • Secure infrastructure design
  • Multi-tier architectures

Subnets

What They Are ?

Subnets divide a VPC into smaller network segments.

Types

  • Public subnet
  • Private subnet

Importance

Subnets help control resource placement, security boundaries, and routing behavior.

Route Tables

What They Are ?

Route tables determine how network traffic moves between resources and external destinations.

Examples of Routes

  • Local VPC traffic
  • Internet Gateway
  • NAT Gateway
  • VPN
  • Peering connections

 Internet Gateway

What It Is ?

An Internet Gateway enables resources in public subnets to communicate with the internet.

Use Cases

  • Public web servers
  • Bastion hosts
  • Public-facing APIs

NAT Gateway

What It Is ?

A NAT Gateway allows outbound internet access from private subnets while blocking inbound initiation.

Use Cases

  • Software updates
  • Patch downloads
  • Secure outbound connectivity from internal workloads

Network ACL

What It Is ?

A Network ACL is a stateless subnet-level security mechanism.

Key Purpose

  • Additional traffic filtering
  • Explicit allow/deny rules
  • Security segmentation

Security & Identity Services

Security is central to every AWS design.

AWS IAM

What It Is ?

IAM controls authentication and authorization in AWS.

Components

  • Users
  • Groups
  • Roles
  • Policies

Best Practices

  • Use least privilege
  • Enable MFA
  • Use roles instead of long-term keys
  • Rotate credentials regularly

AWS KMS

What It Is ?

KMS manages encryption keys used across AWS services.

Use Cases

  • Encrypt S3 objects
  • Encrypt EBS volumes
  • Protect database data
  • Application-level key use

Amazon Cognito

What It Is ?

Cognito provides user authentication and identity services for applications.

Use Cases

  • User sign-up and sign-in
  • Mobile app authentication
  • Social login integration

AWS STS

What It Is ?

Security Token Service provides temporary credentials.

Use Cases

  • Cross-account access
  • Federated access
  • Temporary sessions

AWS Secrets Manager

What It Is ?

Secrets Manager securely stores and rotates secrets.

Examples

  • Database passwords
  • API keys
  • Tokens
  • Connection credentials

Amazon GuardDuty

What It Is ?

GuardDuty is a managed threat detection service.

Key Functions

  • Detect suspicious activity
  • Analyze account behavior
  • Alert on possible threats

DevOps & Monitoring Services

These services help monitor, automate, trace, and manage cloud operations.

Amazon CloudWatch

What It Is ?

CloudWatch collects and visualizes operational data.

Key Functions

  • Metrics
  • Logs
  • Alarms
  • Dashboards
  • Events

Use Cases

  • Infrastructure monitoring
  • Alerting
  • Application health checks

AWS CloudTrail

What It Is ?

CloudTrail records AWS API activity.

Benefits

  • Governance
  • Auditability
  • Security investigations
  • Compliance reporting

AWS Config

What It Is ?

AWS Config tracks resource configurations and changes over time.

Use Cases

  • Compliance checks
  • Drift detection
  • Resource history review

AWS CloudFormation

What It Is ?

CloudFormation provisions AWS infrastructure using templates.

Benefits

  • Repeatability
  • Standardization
  • Automation
  • Reduced manual errors

AWS CodePipeline

What It Is ?

CodePipeline automates software release pipelines.

Stages

  • Source
  • Build
  • Test
  • Deploy

Benefits

  • Faster delivery
  • Consistency
  • DevOps workflow automation

 AWS X-Ray

What It Is ?

X-Ray helps analyze and debug distributed applications.

Use Cases

  • Microservices tracing
  • Performance troubleshooting
  • Dependency mapping

 Management & Governance Services

These services help organizations control environments, enforce standards, and optimize operations.

 AWS Systems Manager

What It Is ?

Systems Manager helps manage infrastructure at scale.

Use Cases

  • Patch management
  • Automation
  • Inventory
  • Session management

AWS Trusted Advisor

What It Is ?

Trusted Advisor provides recommendations for cost optimization, security, and performance.

Focus Areas

  • Cost
  • Security
  • Fault tolerance
  • Service limits
  • Performance

 AWS Organizations

What It Is ?

Organizations centrally manages multiple AWS accounts.

Benefits

  • Policy control
  • Account grouping
  • Central billing
  • Governance at scale

 Service Quotas

What It Is ?

Service Quotas helps manage AWS service usage limits.

AWS Backup

What It Is ?

AWS Backup centralizes backup policies and recovery management across AWS services.

Analytics Services

Analytics services transform raw data into meaningful information.

Amazon Athena

What It Is ?

Athena is an interactive query service for data stored in S3.

Benefits

  • Uses standard SQL
  • No infrastructure to manage
  • Good for ad hoc analysis

 Amazon EMR

What It Is ?

EMR is a managed big data platform for frameworks such as Hadoop and Spark.

Use Cases

  • Data processing
  • Large-scale analytics
  • ETL workloads

Amazon Redshift


Already covered under databases, Redshift also plays a major role in analytics and enterprise reporting.

 Amazon QuickSight

What It Is ?

QuickSight is a business intelligence and visualization service.

Use Cases

  • Dashboards
  • KPI reporting
  • Executive insights

Amazon Kinesis

What It Is ?

Kinesis collects and processes streaming data in real time.

Use Cases

  • Log streaming
  • IoT telemetry
  • Real-time analytics

Application Integration Services

These services connect distributed systems and support event-driven architectures.

 Amazon SQS

What It Is ?

SQS is a message queuing service for decoupling applications.

Benefits

  • Reliability
  • Loose coupling
  • Asynchronous processing

Amazon SNS

What It Is ?

SNS is a publish/subscribe messaging service.

Use Cases

  • Notifications
  • Fan-out messaging
  • Alerting systems

 Amazon EventBridge

What It Is ?

EventBridge is an event bus for building event-driven solutions.

Use Cases

  • System integration
  • Automation
  • Application events

 AWS Step Functions

What It Is ?

Step Functions orchestrates workflows across AWS services.

Use Cases

  • Multi-step automation
  • Serverless workflows
  • Data processing pipelines

Amazon API Gateway

What It Is ?

API Gateway creates, publishes, and secures APIs.

Use Cases

  • REST APIs
  • HTTP APIs
  • Lambda integrations
  • Backend access control

Amazon AppFlow

What It Is ?

AppFlow transfers data between SaaS applications and AWS services securely.

Machine Learning Services

AWS offers machine learning services for building, training, and using intelligent models.

 Amazon SageMaker

What It Is ?

SageMaker helps build, train, and deploy machine learning models.

Use Cases

  • Predictive analytics
  • Model development
  • AI-powered applications

 Amazon Rekognition

What It Is ?

Rekognition provides image and video analysis.

Use Cases

  • Face detection
  • Object recognition
  • Media analysis

Amazon Comprehend

What It Is ?

Comprehend extracts meaning and insights from text.

 Amazon Forecast

What It Is ?

Forecast provides time-series forecasting using machine learning.

Amazon Lex

What It Is ?

Lex enables conversational interfaces such as chatbots.

Media Services

Media services support video processing and delivery workflows.

AWS Elemental MediaLive

What It Is ?

MediaLive provides live video encoding and streaming.

AWS Elemental MediaConvert

What It Is ?

MediaConvert converts video files at scale.

 S3 Transfer Acceleration

What It Is ?

Speeds up file transfers to Amazon S3 using optimized network paths.

 CloudFront & Edge Services

These services improve global delivery and edge performance.

Amazon CloudFront

What It Is ?

CloudFront is a content delivery network (CDN).

Benefits

  • Low latency
  • Faster delivery
  • Global caching
  • Better user experience

Amazon Route 53

What It Is ?

Route 53 is a scalable DNS and domain management service.

Use Cases

  • Domain routing
  • Health checks
  • Traffic policies

 AWS Global Accelerator

What It Is ?

Improves application availability and performance using the AWS global network.

  • MSSQL DBA

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