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AWS Cloud Industry Training By Anand Tiwari. – Offline @ Aundh Pune
1] Designing and deploying scalable, highly available, and fault tolerant systems on AWS
2] Lift and shift of an existing on-premises application to AWS
3] Ingress and egress of data to and from AWS
4] Selecting the appropriate AWS service based on data, compute, database, or security requirements
5] Identifying appropriate use of AWS architectural best practices
6] Estimating AWS costs and identifying cost control mechanism
Curriculum Designed by Experts
AWS Solutions Architect ==> AWS Sysops Administration ==> AWS DevOps Engineer
AWS certification training in pune
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Note : Each AWS lecture will be followed by a hands-on demo/activity wherever applicable
Getting Started :
Course Introduction
About the Training Architect
Working as a Solutions Architect
Creating an AWS Account, AWS Free Tier, Usage Tracking, and Billing Widget
Access Management
Shared Responsibility/Security Model
Service Models
High Availability vs. Fault Tolerance
RPO vs. RTO
Scaling
Tiered Application Design
Encryption
Architecture Odds and Ends
Architecture 101
AWS Architecture :
AWS Accounts
AWS Physical and Networking Layer
Well-Architected Framework
Elasticity
AWS Architecture 101
AWS Product Fundamentals :
Console Tour and Navigation
Introduction to S3
Introduction to CloudFormation
Hands-on Labs
Getting Started with CloudFormation
AWS Product Fundamentals
IAM (Identity and Access Management) :
IAM Essentials
IAM Policies
IAM Users
IAM Groups
IAM Access Keys
Securing Your Account — Creating an IAM User and Setting Up the CLI
IAM Roles
IAM Essentials
Multi-Account Management and Organizations :
AWS Organizations
Role Switching Between Accounts
Multi-Account Management and Organizations
Server-Based Compute (EC2) Fundamentals :
EC2 Architecture: Part 1
EC2 Architecture: Part 2
Instance Types and Sizes
EC2 Storage Architecture: Part 1
EC2 Storage Architecture: Part 2
EBS Snapshots
Security Groups
Instance Metadata
Hands-on Labs
Creating and Working with an EC2 Instance
Server-Based Compute (EC2) Fundamentals
Server-Based Compute (EC2) Intermediate :
AMI
Bootstrap
Instance ENI, IP, and DNS: Part 1
Instance ENI, IP, and DNS: Part 2
Instance Roles
Server-Based Compute (EC2) Intermediate
Using EC2 Roles and Instance Profiles
Using AWS Tags and Resource Groups
Server-Based Compute (EC2) Advanced :
EBS Volume and Snapshot Encryption
EBS Optimization, Enhanced Networking, and Placement Groups
EC2 Billing Models: Part 1 – Spot and Spot Fleet
EC2 Billing Models: Part 2 – Reserved Instances
Dedicated Hosts
Server-Based Compute (EC2) Advanced
Serverless Compute (Lambda) :
What Are APIs and Microservices?
Serverless and Event-Driven Architectures
Lambda Essentials: Part 1
Lambda Essentials: Part 2
API Gateway Essentials: Part 1
API Gateway Essentials: Part 2
Step Functions
Serverless Compute (Lambda)
Container-Based Compute and Microservices :
Docker Essentials
ECS
Container-Based Compute and Microservices
Networking Fundamentals :
Introduction
Seven-Layer OSI Model: Part 1
Seven-Layer OSI Model: Part 2
IP Addressing Basics
Subnetting
IP Routing
Firewalls
Proxy Servers
Networking Fundamentals
Virtual Private Cloud (VPC) :
Virtual Private Cloud (VPC) and Subnets: Part 1
Virtual Private Cloud (VPC) and Subnets: Part 2
Routing and Internet Gateway
Bastion Host/JumpBox
NAT, NAT Instance, and NAT Gateway: Part 1
NAT, NAT Instance, and NAT Gateway: Part 2
Network ACLs
Hands-on Labs
Designing and Building a Custom VPC from Scratch
Virtual Private Cloud (VPC)
Advanced VPC :
VPC Peering: Part 1
VPC Peering: Part 2
VPC Endpoints: Part 1
VPC Endpoints: Part 2
IPv6 within AWS
Egress-Only Gateway
Hands-on Labs
Implementing VPC Peering on AWS
Advanced VPC
Global DNS (Route 53) Fundamentals :
DNS 101
Domain Registration
Private vs. Public Hosted Zones
Record Set Types
Health Checks
Global DNS (Route 53) Fundamentals
Global DNS (Route 53) Advanced :
Routing Policy: Simple
Routing Policy: Failover
Routing Policy: Weighted
Routing Policy: Latency
Routing Policy: Geolocation
Global DNS (Route 53) Advanced
S3 Architecture and Features :
Permissions
Transferring Data to S3
Encryption
Static Websites and CORS
Object Versioning
Presigned URLs
Hands-on Labs
Creating a Static Website Using Amazon S3
S3 Performance and Resilience :
Storage Tiers/Classes
Lifecycle Policies and Intelligent-Tiering
Cross-Region Replication (CRR)
CloudFront :
CloudFront Architecture: Part 1
CloudFront Architecture: Part 2
OAI
Network File Systems :
EFS Fundamentals: Part 1
EFS Fundamentals: Part 2
Storage and Content Delivery
Database Fundamentals :
Database Models
SQL — RDS :
RDS Essentials: Part 1
RDS Essentials: Part 2
RDS Backups and Restore
RDS Resiliency: Multi-AZ
RDS Read Replicas
Database Fundamentals and SQL — RDS
SQL — Aurora :
Aurora Essentials: Part 1
Aurora Essentials: Part 2
Parallel Queries and Aurora Global
Aurora Serverless Essentials: Part 1
Aurora Serverless Essentials: Part 2
SQL — Aurora
NoSQL :
DynamoDB Essentials: Part 1 — Tables and Items
DynamoDB Essentials: Part 2 — Query and Scan
DynamoDB Essentials: Part 3
DynamoDB Performance and Billing
DynamoDB Streams and Triggers
DynamoDB Indexes: Part 1 — LSI
DynamoDB Indexes: Part 2 — GSI
NoSQL
In-Memory Caching :
DAX
ElastiCache
In-Memory Caching
Load Balancing and Auto Scaling :
Load Balancing Fundamentals
Classic Load Balancers and Health Checks: Part 1
Classic Load Balancers and Health Checks: Part 2
Classic Load Balancers and Health Checks: Part 3
Application Load Balancers: Part 1
Application Load Balancers: Part 2
Network Load Balancers
Launch Templates and Configurations
Auto Scaling Groups: Part 1
Auto Scaling Groups: Part 2
Hands-on Labs
Implementing an Auto Scaling Group and Application Load Balancer in AWS
VPN and Direct Connect :
VPC VPN (IPsec)
Direct Connect Architecture
When to Pick Direct Connect vs. VPN
Snow* :
Snowball, Snowball Edge, and Snowmobile
Data and DB Migration :
Storage Gateway 101
Database Migration Service 101
Identity Federation and SSO :
What Is Identity Federation?
When to Use Identity Federation
Hybrid and Scaling
Application Integration :
Simple Notification Service (SNS)
Simple Queue Service (SQS): Part 1
Simple Queue Service (SQS): Part 2
Elastic Transcoder
Application Integration
Analytics :
Athena
Elastic MapReduce (EMR)
Kinesis and Firehose
Redshift
Analytics
Logging and Monitoring :
CloudWatch
CloudWatch Logs
CloudTrail
VPC Flow Logs
Hands-on Labs
Custom Logging Using CloudWatch and CloudWatch Logs
Hands-on Labs
Working with AWS VPC Flow Logs for Network Monitoring
Logging and Monitoring
Operations :
CloudWatch Events
KMS Essentials: Part 1
KMS Essentials: Part 2
Deployment :
Elastic Beanstalk
OpsWorks
Operations and Deployment
The Exam :
How to Prepare for the Real Exam
AWS Solutions Architect Associate (SAAC01) – Final Practice Exam
Course Features :
This course can help prepare you for a certification exam.
Earn a Certificate of Completion
When you complete this course, you’ll receive a certificate of completion as proof
An advanced storage course covering Direct-Attached Storage (DAS), Storage Area Networks (SAN), Network-Attached Storage (NAS), and Object Storage design and implementation would typically delve into the intricate details of storage architectures, protocols, technologies, and best practices. Here’s an outline of what such a course might include:
1. Introduction to Advanced Storage Concepts:
2.Direct-Attached Storage (DAS):
3. Storage Area Networks (SAN):
4. Network-Attached Storage (NAS):
5. Object Storage:
6. Storage Virtualization and Management:
7. Data Protection and Disaster Recovery:
8. Security and Compliance:
9. Scalability and Performance Optimization:
10. Case Studies and Hands-On Labs:
11. Best Practices and Industry Trends:
An advanced course on Level 3 (L3) networking and network troubleshooting with end-to-end VPC (Virtual Private Cloud) design would cover a comprehensive range of topics related to networking architectures, protocols, troubleshooting methodologies, and best practices for designing and managing VPCs in cloud environments. Here’s an outline of what such a course might include:
1.Networking Fundamentals Review:
2. Advanced Routing and Switching:
3. Network Troubleshooting Methodologies:
4. Network Security:
5. VPC Design and Implementation:
6. Advanced VPC Configurations:
7. Hybrid Cloud Networking:
8. Case Studies and Hands-On Labs:
9. Best Practices and Industry Trends:
Designing a complete database system with real-time RDS failover involves careful planning and implementation to ensure high availability, fault tolerance, and data integrity. Below is an outline of the components and considerations involved in such a design:
AWS RDS Multi-AZ Deployment:
1.Monitoring and Alerting:
2.Incident Response and Troubleshooting:
3. Infrastructure Management:
4. Security and Compliance:
5. Backup and Disaster Recovery:
6. Cost Management and Optimization:
7. Automation and Scripting:
Covers each topics with Real Time Examples . Covers More than 250+ Real Time Scenarios which is divided into L1 ( Basic ) + L2 ( Intermediate) and L3 ( Advanced ) . Trainer from Real Time Industry .This is completely hands-on training , which covers 90% Practical And 10% Theory
We give Combo Pack of RHEL 6 with RHEL 7 , to make sure all the candidate will get at least 5+ Year experience knowledge in Redhat Linux after attending this course.Covers SA1 + SA2 + SA3 topics in Details from the very basic to advanced level .
Complete RHCSA and RHCE Exam Preparations.Appear for Redhat Global Certification Exam At any time After the course – No need to wait to get schedule from Redhat .At your convenient time , you can book and appear for exam using our Individual Exam Delivery System called KOALA
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Infrastructure Provisioning
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.
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Red Hat Linux Certification is a prestigious credential recognized globally for its emphasis on practical skills and knowledge in Linux system administration and related technologies. This certification validates an individual’s proficiency in managing and troubleshooting Red Hat Enterprise Linux (RHEL) environments, making it a valuable asset for IT professionals aiming to excel in the open-source ecosystem.
Red Hat Linux, particularly Red Hat Enterprise Linux (RHEL), is renowned for its stability, security, and performance in enterprise environments. Its versatility allows it to be used in various applications across different industries. Here are some of the key applications of Red Hat Linux:
1.Server Operating System
Web Servers: RHEL is commonly used to host web servers, including Apache and Nginx, due to its robust performance and security features.
Database Servers: It is widely used to run database management systems like MySQL, PostgreSQL, and Oracle, providing a reliable platform for data storage and management.
Application Servers: RHEL supports various application servers, including JBoss, Tomcat, and WildFly, making it ideal for deploying enterprise applications.
2. Cloud Computing
Private Clouds: RHEL is a popular choice for building private cloud environments using platforms like OpenStack and Red Hat Virtualization.
Public Clouds: It is available on major public cloud providers like AWS, Microsoft Azure, and Google Cloud, offering scalability and flexibility for cloud-based applications.
Hybrid Clouds: RHEL enables seamless integration between on-premises infrastructure and cloud environments, supporting hybrid cloud strategies.
3. Virtualization
KVM (Kernel-based Virtual Machine): RHEL includes KVM for virtualization, allowing multiple virtual machines to run on a single physical host.
Red Hat Virtualization (RHV): RHV is a comprehensive virtualization solution for managing virtual servers and desktops, based on RHEL.
4. Containerization
Docker: RHEL supports Docker for containerizing applications, providing a consistent runtime environment across different systems.
OpenShift: Red Hat OpenShift is a Kubernetes-based platform for developing, deploying, and managing containerized applications, offering advanced features for enterprise environments.
5. Development Environment
Software Development: RHEL provides a stable and secure platform for software development, supporting a wide range of programming languages and development tools.
DevOps: It integrates well with DevOps tools and practices, enabling continuous integration and continuous deployment (CI/CD) pipelines.
6. Networking
Network Services: RHEL is used to provide various network services such as DNS, DHCP, FTP, and more.
Firewall and Security: It includes robust firewall and security features, making it suitable for use as a network security appliance.
7. Big Data and Analytics
Hadoop and Spark: RHEL supports big data platforms like Hadoop and Spark, providing a reliable and scalable environment for big data processing and analytics.
Data Warehousing: It is used for data warehousing solutions, offering high performance and reliability for large-scale data storage and analysis.
8. High-Performance Computing (HPC)
Scientific Computing: RHEL is used in scientific computing environments for tasks that require significant computational power, such as simulations and data analysis.
Cluster Computing: It supports the creation of compute clusters for parallel processing and distributed computing.
9. Internet of Things (IoT)
Edge Computing: RHEL is used in edge computing scenarios, providing a reliable platform for processing data close to the source in IoT applications.
IoT Gateways: It serves as a secure and stable operating system for IoT gateways, managing data flow between IoT devices and the cloud.
10. Enterprise Applications
ERP and CRM Systems: RHEL is often used to host enterprise resource planning (ERP) and customer relationship management (CRM) systems, ensuring reliable and secure operation.
Content Management Systems: It supports various content management systems (CMS) such as Drupal, Joomla, and WordPress, providing a stable environment for managing digital content.
Red Hat Linux’s extensive capabilities and robust features make it a versatile platform suitable for a wide array of applications across different industries. Its reliability, security, and performance ensure that it continues to be a preferred choice for enterprises worldwide.
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