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Vladyslav K, Senior AWS DevOps Engineer

Vinnitsa, Ukraine
Last Updated: 4 Jul 2023

- 4 years in IT field as a DevOps Engineer. Strong scripting skills (Python, Bash, Groovy). - Good understanding of Software Development processes. Practical experience and professional competence in CI/CD (Jenkins, Azure DevOps), infrastructure as code (Terraform, CloudFormation), monitoring (ELK, Zabbix, Grafana), cluster management (Kubernetes, Kubespray, Helm), configuration management (Ansible) and computer network. Proficiency in Amazon Web Services. Extensive background in UNIX-like Operating Systems administration and maintenance. - Upper-Intermediate English

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Amazon Web Services (AWS)

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Henry A., Software Engineer with Python and Data Analytical Skills

Last Updated: 14 Mar 2024
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- 8+ years experience working with Python; - 5 years of experience as a BI and 4 years of experience with Tableau; - 8 years of experience with various data sets (ETL, Data Engineer, Data Quality Engineer); - 3 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP); - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Experience working with MySQL, SQL, and PostgreSQL; - Deep abilities working with Kubernetes (K8s); - Hands-on scripting experience with Python; Microsoft Power BI, Tableau, Sisense, CI/CD principles, Data Validation, Data QA, SQL, Pipelines, ETL, and Automated web scraping. - Pet web3 projects (solidity, wallet integration) - Upper-intermediate English

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Python   8.5 yr.

Data Analysis

Data Analysis   6 yr.

Google Cloud Platform (GCP)

Google Cloud Platform (GCP)   4 yr.


Tableau   4 yr.

Microsoft Power BI

Microsoft Power BI   4 yr.

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Asad S., AWS Data Engineer

Last Updated: 4 Jul 2023

- More than 8 years of Data Engineering experience in the Banking and Health sector. - Worked on Datawarehousing and ETL pipeline projects using AWS Glue, Databrew, Lambda, Fivetran, Kinesis, Snowflake, Redshift, and Quicksight. - Recent project involves loading data into Snowflake using Fivetran connector and automation of pipeline using Lambda and Eventbridge. - Performed Cloud Data Migrations and automation of ETL pipeline design and implementations. - Fluent English - Available from 18.08.2022

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Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Roman F., PHP Engineer

Last Updated: 5 Mar 2024
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- Experienced Software Engineer with 8 years of commercial experience in demanding environments, focused on producing cutting-edge systems for businesses. - Skilled in infrastructure cost optimization, Kubernetes, and Terraform. - Proficient in PHP, JavaScript, Golang, and various databases such as MySQL, PostgreSQL, and MongoDB. - Extensive experience with Amazon Web Services (AWS) and containerization technologies like Docker. - Strong background in computer science with a Master's degree in Computer Science. - Familiar with Agile and Scrum methodologies, as well as software development practices and SDLC. - Excellent communication skills and fluent in Ukrainian with advanced English proficiency.

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Serg K., QA Engineer with QA Automation Engineer, Data Quality

Lviv, Ukraine
Last Updated: 4 Jul 2023
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Programming Skills Verified
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- 5 years with QA automation - Strong testing theory understanding. Defect life cycle and issue workflow understanding, Experience in creating and executing test cases. Reporting - Experience with data and BI tools - DevOps experience with CI/CD, pipelines, Docker, AWS, SQL

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QA Automation

QA Automation   5 yr.





Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Table of Contents

What are top Amazon Web Services (AWS) instruments and tools?

  • AWS Lambda: AWS Lambda is a serverless computing service that lets you run your code without provisioning or managing servers. With Lambda, you can build applications that respond quickly to new information, or events, and automatically scale to handle the highest of loads. Launched in 2014, AWS Lambda has gained popularity due to its ability to execute code in response to real-time events, such as changes to data in an Amazon S3 bucket or a DynamoDB table.
  • Amazon EC2: Amazon Elastic Compute Cloud (EC2) is a web service that provides resizable compute capacity in the cloud. It allows developers to easily scale their applications based on demand and pay only for the resources they consume. Since its launch in 2006, EC2 has become one of the foundational services of AWS, providing virtual servers in the cloud for a wide range of use cases, from running small applications to hosting large-scale enterprise workloads.
  • AWS S3: Amazon Simple Storage Service (S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. It is designed to store and retrieve any amount of data from anywhere on the web. First introduced in 2006, S3 has become one of the most widely used storage services on the internet, serving as the backbone for various applications, including data backup, content distribution, and static website hosting.
  • AWS RDS: Amazon Relational Database Service (RDS) is a managed database service that makes it easy to set up, operate, and scale a relational database in the cloud. It supports popular database engines such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server, providing automated backups, software patching, and high availability. RDS was launched in 2009 and has since become a go-to choice for businesses looking to offload the management of their databases to AWS.
  • AWS CloudFormation: AWS CloudFormation is a service that helps you model and set up your Amazon Web Services resources so you can spend less time managing those resources and more time focusing on your applications that run in AWS. It allows you to create templates to provision and configure a wide range of AWS resources in a repeatable and automated manner. Introduced in 2011, CloudFormation has become a vital tool for infrastructure as code, enabling developers to create and manage their AWS infrastructure through code.
  • AWS Route 53: Amazon Route 53 is a scalable domain name system (DNS) web service designed to provide highly reliable and cost-effective domain registration, DNS routing, and health checking of resources within the AWS ecosystem. It is named after the TCP/IP port 53, which is used by DNS. Launched in 2010, Route 53 has become a popular choice for businesses to manage their domain names and route traffic to various AWS services and resources.
  • AWS Elastic Beanstalk: AWS Elastic Beanstalk is a fully managed service that makes it easy to deploy and run applications in multiple languages, including Java, .NET, PHP, Node.js, Python, Ruby, and Go. It abstracts the underlying infrastructure and provides a platform for developers to focus solely on their application code. Introduced in 2010, Elastic Beanstalk has gained traction for its simplicity and convenience in deploying scalable applications without worrying about the underlying infrastructure.
  • AWS DynamoDB: Amazon DynamoDB is a fast and flexible NoSQL database service that provides consistent, single-digit millisecond latency at any scale. It is fully managed, serverless, and highly available, making it an ideal choice for applications that require low-latency data access. Launched in 2012, DynamoDB has become a popular database service for web, gaming, ad tech, and IoT applications, offering seamless scalability and automatic data replication across multiple availability zones.

Cases when Amazon Web Services (AWS) does not work

  1. Limited Internet Connectivity: In scenarios where there is a lack of stable and reliable internet connectivity, AWS services may not function optimally. Since AWS operates in the cloud, a solid internet connection is crucial for accessing and utilizing its services effectively. Without a consistent and high-speed internet connection, users may experience difficulties in accessing their resources and managing their AWS infrastructure.
  2. Regional Outages: Although AWS boasts a highly resilient infrastructure, occasional regional outages can occur due to unforeseen circumstances such as natural disasters, power failures, or network disruptions. These outages can impact the availability of AWS services in specific geographical regions, leading to temporary service interruptions or reduced performance.
  3. Capacity Limitations: While AWS is designed to scale dynamically and accommodate high levels of demand, there have been instances where certain services experienced capacity limitations during peak usage periods. These limitations may result in decreased performance or temporary unavailability of specific services until additional capacity is provisioned.
  4. Configuration Errors: Misconfigurations by users can lead to AWS services not working as expected. Improperly configured security groups, access control lists (ACLs), or network settings can cause connectivity issues or unintended access restrictions. It is crucial to ensure that configurations align with the desired functionality to avoid service disruptions.
  5. Software Compatibility Issues: AWS services rely on various software components and dependencies. Incompatibilities between different software versions or conflicts with specific operating systems can occasionally lead to unexpected behavior or service failures. Regular updates and compatibility checks are essential to ensuring smooth operation of AWS services.

Soft skills of a Amazon Web Services (AWS) Developer

Soft skills are essential for Amazon Web Services (AWS) Developers as they work in a collaborative and dynamic environment. These skills complement their technical expertise and contribute to their overall effectiveness and success.


  • Effective Communication: Ability to convey ideas clearly and concisely, both verbally and in writing, to team members and stakeholders.
  • Teamwork: Capacity to work collaboratively with others, contribute to a positive team environment, and share knowledge and expertise.
  • Adaptability: Willingness to embrace change and quickly adapt to new technologies, tools, and methodologies.
  • Problem Solving: Aptitude to analyze and solve technical challenges, think critically, and propose innovative solutions.
  • Time Management: Skill to prioritize tasks, manage deadlines, and efficiently utilize time and resources.


  • Leadership: Ability to lead and guide a team, delegate tasks effectively, and mentor junior developers.
  • Collaboration: Capacity to collaborate with cross-functional teams, understand diverse perspectives, and foster a cohesive work environment.
  • Client Management: Skill to manage client expectations, build strong relationships, and ensure customer satisfaction.
  • Presentation Skills: Proficiency in delivering clear and engaging presentations to technical and non-technical audiences.
  • Conflict Resolution: Capability to identify and address conflicts, facilitate discussions, and find mutually beneficial resolutions.
  • Continuous Learning: Commitment to staying updated with the latest AWS technologies, industry trends, and best practices.
  • Problem Analysis: Ability to identify the root cause of complex technical issues and develop effective solutions.


  • Influencing Skills: Capacity to influence and persuade stakeholders, drive consensus, and advocate for technical decisions.
  • Strategic Thinking: Ability to align technical solutions with business goals, anticipate future needs, and propose long-term strategies.
  • Project Management: Skill to plan, organize, and execute complex projects, ensuring timely delivery and meeting objectives.
  • Empathy: Ability to understand and empathize with team members, clients, and end-users, fostering positive relationships.
  • Critical Thinking: Aptitude to evaluate information, identify patterns, and make informed decisions based on data and insights.
  • Conflict Management: Capability to handle conflicts and disagreements, mediate discussions, and find win-win solutions.
  • Innovation: Mindset to explore new technologies, propose innovative solutions, and drive continuous improvement.
  • Technical Mentorship: Ability to mentor and guide junior developers, sharing knowledge and promoting professional growth.

Expert/Team Lead

  • Strategic Leadership: Ability to provide strategic direction, align technical initiatives with business objectives, and drive organizational change.
  • Negotiation Skills: Proficiency in negotiating contracts, agreements, and partnerships, ensuring favorable outcomes for the organization.
  • Decision Making: Capability to make informed decisions under pressure, considering various factors and potential risks.
  • Conflict Resolution: Skill to handle complex conflicts and disputes, mediate between conflicting parties, and find optimal resolutions.
  • Team Building: Capacity to build high-performing teams, foster a positive work culture, and attract and retain top talent.
  • Executive Presence: Ability to communicate effectively with executives, present ideas confidently, and influence decision-making processes.
  • Business Acumen: Understanding of business principles, market dynamics, and the ability to align technical solutions with business objectives.
  • Change Management: Skill to lead and manage organizational change, anticipate challenges, and ensure successful implementation.
  • Strategic Partnerships: Capability to identify and establish strategic partnerships, foster collaborations, and drive mutual growth.
  • Thought Leadership: Recognition as a subject matter expert, contributing to industry forums, conferences, and thought leadership publications.
  • Continuous Improvement: Commitment to driving continuous improvement initiatives, optimizing processes, and increasing efficiency.

TOP 12 Tech facts and history of creation and versions about Amazon Web Services (AWS) Development

  • AWS was developed using a revolutionary methodology called cloud computing, which allows users to access and utilize computing resources over the internet.
  • Amazon Web Services (AWS) was officially launched in the year 2006, providing a wide range of cloud-based services to individuals, businesses, and governments.
  • The mastermind behind AWS is Jeff Bezos, the founder and CEO of Amazon.com. He recognized the potential of cloud computing and saw an opportunity to provide scalable and cost-effective solutions to customers.
  • One of the groundbreaking services introduced by AWS was Amazon Elastic Compute Cloud (EC2) in 2006. It allowed users to rent virtual computers on which they could run their own applications.
  • In 2008, AWS introduced Amazon Simple Storage Service (S3), a scalable object storage service that revolutionized the way data is stored and accessed in the cloud.
  • AWS continued to innovate with the introduction of Amazon DynamoDB, a fully managed NoSQL database service, in 2012. It provided high-performance and low-latency access to structured data.
  • In 2013, AWS unveiled Amazon Redshift, a fully managed data warehousing service that allowed businesses to analyze vast amounts of data quickly and cost-effectively.
  • AWS Lambda, launched in 2014, introduced serverless computing, enabling developers to run their code without managing servers. It revolutionized the way applications are built and deployed.
  • Amazon Aurora, introduced in 2015, is a MySQL and PostgreSQL-compatible relational database built for the cloud. It offers high performance, reliability, and scalability.
  • AWS launched Amazon Elastic Container Service for Kubernetes (EKS) in 2018, providing a fully managed Kubernetes service for container orchestration. It simplified the deployment and management of containerized applications.
  • AWS Outposts, introduced in 2019, brought AWS infrastructure and services to customers’ on-premises data centers. It allowed organizations to seamlessly extend their AWS environment to hybrid cloud setups.
  • Amazon Braket, launched in 2019, is a fully managed quantum computing service. It provides a development environment to explore and experiment with quantum algorithms.

Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior Developer0-2 years– Assisting in the development and maintenance of software applications
– Writing code under the guidance of senior developers
– Debugging and troubleshooting issues
– Participating in code reviews and learning best practices
$45,000 – $65,000
Middle Developer2-5 years– Developing and implementing software solutions
– Collaborating with team members to design and develop applications
– Writing efficient, clean, and maintainable code
– Participating in code reviews and providing constructive feedback
$65,000 – $85,000
Senior Developer5-10 years– Leading the design and development of complex software projects
– Mentoring and guiding junior and middle developers
– Making architectural decisions and ensuring code quality
– Collaborating with stakeholders to understand requirements and deliver high-quality solutions
$85,000 – $110,000
Expert/Team Lead Developer10+ years– Leading a team of developers and overseeing project execution
– Setting technical direction and making strategic decisions
– Providing technical guidance and mentorship to team members
– Collaborating with cross-functional teams to deliver projects on time and within budget
$110,000 – $150,000+

TOP 12 Facts about Amazon Web Services (AWS)

  • **AWS is the largest and most widely adopted cloud computing platform in the world, with a market share of over 30%.** According to Gartner, AWS dominates the cloud market, surpassing its competitors like Microsoft Azure and Google Cloud Platform. It offers a vast array of services and solutions to organizations of all sizes, including startups, enterprises, and governments.
  • **AWS operates in 76 availability zones within 24 geographic regions around the world.** These availability zones are designed to provide low-latency connections and high availability to customers. They are essentially data centers that are interconnected and replicate data across multiple locations, ensuring resilience and reliability.
  • **AWS offers over 200 fully featured services** in various domains such as compute, storage, databases, analytics, networking, machine learning, and more. These services cater to a wide range of use cases and provide the flexibility to scale up or down based on demand.
  • **AWS provides an extensive ecosystem of partner services** that integrate with its platform, allowing customers to extend the capabilities of their applications. This ecosystem includes technology partners, consulting partners, managed service providers, and more, enabling customers to leverage specialized expertise and tools.
  • **AWS offers a pay-as-you-go pricing model**, allowing customers to pay only for the resources they consume. This cost-effective approach eliminates the need for upfront investments in hardware and infrastructure, making it appealing to businesses of all sizes. Additionally, AWS provides various pricing options and discounts for long-term commitments.
  • **Netflix, one of the world’s largest streaming platforms, runs entirely on AWS**. The scalability and reliability of AWS enable Netflix to deliver its content to millions of viewers worldwide without interruptions. This showcases the ability of AWS to handle massive workloads and accommodate high-demand applications.
  • **AWS has a robust security infrastructure** that includes features such as identity and access management, encryption, firewalls, and monitoring tools. It also complies with various industry standards and regulations, ensuring the security and privacy of customer data.
  • **AWS offers several machine learning services**, including Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend. These services enable developers to incorporate machine learning capabilities into their applications without requiring deep expertise in the field.
  • **AWS has a strong commitment to sustainability**. It aims to power its global infrastructure with 100% renewable energy and has already achieved significant milestones in this regard. AWS invests in renewable energy projects, energy efficiency initiatives, and carbon offset programs to minimize its environmental impact.
  • **NASA’s Jet Propulsion Laboratory (JPL) uses AWS for its mission-critical work**. AWS provides the necessary compute power and storage capabilities to analyze vast amounts of data collected from space missions. This demonstrates the trust placed in AWS for handling complex and sensitive scientific data.
  • **AWS offers comprehensive documentation, training, and certification programs** to help individuals and organizations build their skills and expertise in using AWS services. These resources enable developers, architects, and administrators to become proficient in leveraging the full potential of AWS.
  • **AWS has a strong track record of reliability and uptime**. It provides a Service Level Agreement (SLA) guaranteeing a certain level of availability for its services. This ensures that businesses relying on AWS can operate without significant disruptions or downtime.

How and where is Amazon Web Services (AWS) used?

Case NameCase Description
NetflixNetflix is a popular streaming service that delivers a wide range of TV shows and movies to millions of users worldwide. Netflix relies heavily on AWS for its infrastructure needs, using services like Amazon EC2 for compute power, Amazon S3 for storage, and Amazon DynamoDB for database management. By leveraging AWS, Netflix is able to scale its platform to handle high volumes of traffic, deliver content efficiently, and ensure a seamless streaming experience for its users.
DropboxDropbox is a leading cloud storage service that allows users to store and share files across devices. AWS plays a crucial role in powering Dropbox’s infrastructure, providing the necessary scalability and reliability. Dropbox uses Amazon S3 for storing user files, Amazon EC2 for compute resources, and Amazon CloudFront for content delivery. With AWS, Dropbox can easily handle the storage and synchronization needs of millions of users, ensuring data availability and seamless file sharing.
LyftLyft is a popular ride-sharing platform that connects drivers and passengers. To manage its rapidly growing user base and ensure real-time availability of drivers, Lyft relies on AWS. They use services like Amazon EC2 for compute power, Amazon RDS for database management, and Amazon Kinesis for real-time data streaming. By leveraging AWS, Lyft can handle thousands of ride requests simultaneously, track driver locations in real-time, and provide a reliable and efficient transportation service to its users.
SlackSlack is a collaboration hub that brings teams together for better communication and productivity. AWS plays a crucial role in powering Slack’s infrastructure, providing the necessary scalability and reliability. Slack utilizes services like Amazon EC2 for compute resources, Amazon S3 for storage, and Amazon CloudFront for content delivery. With AWS, Slack can handle millions of concurrent users, ensure real-time messaging and file sharing, and deliver a seamless collaborative experience to teams worldwide.
AirbnbAirbnb is a popular online marketplace that connects travelers with hosts offering unique accommodations. To handle the massive volume of listings and bookings, as well as ensure a smooth user experience, Airbnb relies on AWS. They utilize services like Amazon EC2 for compute power, Amazon S3 for storage, and Amazon RDS for database management. By leveraging AWS, Airbnb can scale its platform to accommodate millions of users, handle complex search queries, and facilitate secure and reliable bookings.
NASA Jet Propulsion Laboratory (JPL)NASA JPL is a leading research facility that explores space and conducts missions to other planets. AWS enables JPL to process and analyze vast amounts of space data efficiently. JPL uses services like Amazon EC2 for high-performance computing, Amazon S3 for secure data storage, and Amazon Glacier for long-term archival. By leveraging AWS, JPL can accelerate scientific discoveries, simulate space missions, and gain valuable insights into the universe.

Hard skills of a Amazon Web Services (AWS) Developer

As an Amazon Web Services (AWS) Developer, you need a strong set of hard skills to effectively work with the AWS platform and deliver robust solutions. Here are the hard skills required for AWS Developers at different levels:


  • AWS EC2: Proficiency in creating, configuring, and managing virtual servers using Amazon Elastic Compute Cloud (EC2).
  • AWS S3: Ability to work with Amazon Simple Storage Service (S3) to store and retrieve data efficiently.
  • AWS Lambda: Knowledge of serverless computing and experience in creating functions using AWS Lambda.
  • AWS IAM: Understanding of AWS Identity and Access Management (IAM) to manage user access and permissions.
  • AWS CloudFormation: Familiarity with infrastructure as code and ability to create and manage cloud resources using AWS CloudFormation.


  • AWS RDS: Proficiency in managing relational databases using Amazon Relational Database Service (RDS).
  • AWS VPC: Experience in designing and configuring virtual private cloud (VPC) environments to ensure secure network connectivity.
  • AWS CloudWatch: Ability to monitor and troubleshoot AWS resources using Amazon CloudWatch.
  • AWS Elastic Beanstalk: Knowledge of deploying and managing applications using AWS Elastic Beanstalk.
  • AWS API Gateway: Understanding of creating and managing APIs using Amazon API Gateway.
  • AWS DynamoDB: Familiarity with NoSQL database service Amazon DynamoDB and its query language.
  • AWS ECS: Proficiency in managing containerized applications using Amazon Elastic Container Service (ECS).


  • AWS Elastic Load Balancer: Expertise in configuring and managing load balancers for high availability and scalability using AWS Elastic Load Balancer.
  • AWS CloudFormation: Advanced knowledge of infrastructure as code and the ability to create complex cloud architectures using AWS CloudFormation.
  • AWS CloudFront: Experience in setting up and managing content delivery networks (CDN) using Amazon CloudFront.
  • AWS Kinesis: Proficiency in processing and analyzing streaming data using Amazon Kinesis.
  • AWS SNS: Understanding of creating and managing push notifications using Amazon Simple Notification Service (SNS).
  • AWS CodePipeline: Knowledge of continuous integration and continuous deployment (CI/CD) pipelines using AWS CodePipeline.
  • AWS Step Functions: Ability to design and orchestrate serverless workflows using AWS Step Functions.
  • AWS Aurora: Expertise in managing and optimizing performance for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database service.

Expert/Team Lead

  • AWS CloudFormation: Mastery in creating and managing comprehensive, reusable, and scalable cloud infrastructure using AWS CloudFormation.
  • AWS Lambda: Extensive experience in designing and implementing complex serverless architectures using AWS Lambda.
  • AWS Redshift: Proficiency in managing and optimizing performance for Amazon Redshift, a fully managed data warehousing service.
  • AWS CloudTrail: Expertise in auditing and monitoring API calls and activities across AWS services using Amazon CloudTrail.
  • AWS EMR: Knowledge of big data processing and analysis using Amazon Elastic MapReduce (EMR).
  • AWS Glue: Understanding of data integration and ETL (extract, transform, load) processes using AWS Glue.
  • AWS Organizations: Ability to manage multiple AWS accounts and resources using AWS Organizations.
  • AWS Direct Connect: Familiarity with establishing dedicated network connections to AWS using AWS Direct Connect.
  • AWS Cost Optimization: Proficiency in optimizing AWS costs by analyzing usage patterns and implementing cost-saving strategies.
  • AWS Security Best Practices: Knowledge of implementing security best practices and ensuring compliance with AWS security standards.
  • AWS High Availability and Disaster Recovery: Expertise in designing and implementing highly available and resilient architectures with disaster recovery mechanisms using AWS services.

Pros & cons of Amazon Web Services (AWS)

9 Pros of Amazon Web Services (AWS)

  • Scalability: AWS provides scalable infrastructure that allows businesses to easily scale their resources up or down as needed, enabling them to handle fluctuating workloads and accommodate growth without disruptions.
  • Reliability: AWS offers a highly reliable infrastructure with multiple data centers located in different regions worldwide. This ensures that applications and data are highly available, minimizing downtime and providing a robust platform for businesses.
  • Security: AWS has a comprehensive security framework that includes physical security measures, network security, data encryption, identity and access management, and compliance certifications. This helps businesses protect their data and applications from unauthorized access and ensures compliance with industry regulations.
  • Cost-effective: AWS operates on a pay-as-you-go model, allowing businesses to only pay for the resources they use. This eliminates the need for large upfront investments in infrastructure and reduces overall IT costs.
  • Flexibility: AWS offers a wide range of services and tools to cater to different business needs. Whether it’s compute power, storage, databases, analytics, machine learning, or IoT, AWS provides flexible and customizable solutions to meet specific requirements.
  • Ease of use: AWS provides a user-friendly interface and a well-documented API, making it easy for businesses to manage and configure their infrastructure. Additionally, AWS offers a vast library of tutorials, documentation, and community support to help users get started and troubleshoot issues.
  • Global presence: With data centers located in multiple regions across the globe, AWS enables businesses to deploy their applications closer to their target audience, reducing latency and improving user experience.
  • Integration with other services: AWS seamlessly integrates with other Amazon services like Amazon S3, Amazon RDS, and Amazon DynamoDB, making it easier for businesses to leverage the full potential of the AWS ecosystem.
  • Innovation: AWS is known for its continuous innovation and introduction of new services and features. This allows businesses to stay ahead of the curve and leverage the latest technologies to drive their digital transformation initiatives.

9 Cons of Amazon Web Services (AWS)

  • Complexity: AWS offers a vast array of services, which can be overwhelming for beginners. Managing and configuring the various services may require a certain level of technical expertise.
  • Pricing complexity: While AWS’s pay-as-you-go model is cost-effective, understanding the pricing structure and optimizing costs can be complex. It requires careful monitoring and management to avoid unexpected expenses.
  • Data transfer costs: Transferring data in and out of AWS can incur additional costs, especially for large data volumes or when using services located in different regions.
  • Vendor lock-in: Once a business heavily invests in AWS services, it can be challenging to switch to another cloud provider due to the integration and dependencies built within the AWS ecosystem.
  • Potential downtime: Although AWS has a highly reliable infrastructure, occasional outages or service disruptions can occur, potentially impacting businesses that rely heavily on AWS services.
  • Learning curve: Due to the complexity and constant evolution of AWS services, there can be a steep learning curve for businesses and their IT teams to fully understand and utilize the platform’s capabilities.
  • Technical support: While AWS offers support services, some businesses may find the level of support provided insufficient for their specific needs and may require additional expertise or dedicated support options.
  • Data security and compliance: While AWS provides robust security measures, businesses must also ensure they configure and manage their services correctly to maintain data security and compliance with industry regulations.
  • Dependency on internet connectivity: As AWS operates in the cloud, businesses relying on its services need a stable and reliable internet connection to access and utilize their resources effectively.

TOP 10 Amazon Web Services (AWS) Related Technologies

  • Python

    Python is a popular programming language for AWS software development due to its simplicity, readability, and extensive libraries. It offers excellent integration with AWS services through the Boto3 library, making it easy to build scalable and efficient applications.

  • Java

    Java is widely used for AWS software development as it provides robustness, portability, and scalability. Its rich ecosystem and extensive libraries make it a preferred choice for building enterprise-grade applications on AWS.

  • JavaScript

    JavaScript is a versatile language used for both front-end and back-end development on AWS. Its compatibility with Node.js allows developers to build serverless applications using AWS Lambda, making it a popular choice for building scalable and responsive web applications.

  • Amazon EC2

    Amazon Elastic Compute Cloud (EC2) is a fundamental service for AWS software development. It provides resizable compute capacity in the cloud, allowing developers to quickly provision and scale virtual servers to run their applications.

  • AWS Lambda

    AWS Lambda is a serverless computing service that enables developers to run code without provisioning or managing servers. It allows for event-driven, scalable, and cost-effective application development on AWS.

  • AWS Elastic Beanstalk

    AWS Elastic Beanstalk is a fully managed service that makes it easy to deploy and run applications in multiple languages. It provides a platform for automated application scaling, monitoring, and management, reducing the operational overhead for developers.

  • Amazon S3

    Amazon Simple Storage Service (S3) is a scalable object storage service that allows developers to store and retrieve any amount of data from anywhere on the web. It provides durability, high availability, and performance, making it a popular choice for storing and managing data in AWS applications.

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