The most popular AWS services for business

AWS (Amazon Web Services) is a leading cloud services platform that has significantly influenced the way companies approach IT infrastructure. With its broad portfolio of solutions, AWS enables businesses of all sizes to access advanced technologies without incurring huge upfront costs. In this article, we will take a look at the most popular AWS services, their practical business applications, as well as the challenges and limitations organizations may face when implementing Amazon’s cloud solutions.

What is AWS and why should you consider using it for your business?

Amazon Web Services is a comprehensive cloud platform offering more than 200 full-featured services from data centers around the world. It was launched in 2006 as a natural evolution of Amazon’s in-house infrastructure that handled massive e-commerce workloads. Over time, AWS has evolved into the most powerful cloud platform used by both startups and the world’s largest corporations.

The main advantage of AWS is the ability to quickly access computing resources without investing in physical hardware. Companies can get servers, databases or analytics platforms up and running in minutes, paying only for the resources actually used. This model eliminates capital expenditures and risks associated with purchasing infrastructure that can quickly become obsolete or insufficient for growing needs.

AWS is distinguished by its high level of flexibility and scalability. Enterprises can increase or decrease the resources used based on current business needs, which is particularly valuable for seasonal traffic spikes, new deployments or expansion into new markets. This flexibility can translate into savings and greater operational efficiency, although it requires careful monitoring and management of resources to avoid unexpected costs.

In addition, AWS offers high availability, advanced security mechanisms and compliance with numerous standards and regulations, making it a suitable solution for demanding industries such as finance, healthcare and the public sector. However, it is important to note that moving to AWS involves building new competencies in the IT team and paying special attention to the shared security responsibility model.

Key benefits and challenges of AWS for business

Benefits:

Elimination of upfront costs associated with the purchase of equipment
Scale infrastructure up or down in response to business needs
Global reach with data centers around the world
Access to advanced technologies without having to build all competencies in-house
Payment only for resources actually used

Challenges:

Complex pricing model requiring careful monitoring and optimization
Steep learning curve for IT teams accustomed to traditional infrastructure
Risk of dependence on a single supplier (vendor lock-in)
Need to rethink application architecture for full use of the cloud
Changing approach to security in a shared responsibility model

What are the three leading AWS services on the market in 2025?

In 2025, three AWS services consistently lead the market for cloud solutions. Amazon EC2 (Elastic Compute Cloud) remains a fundamental component of the AWS ecosystem, offering virtual machines in a variety of configurations to fit specific business needs. EC2 allows applications to run in the cloud without managing physical servers, while providing control over computing resources. Companies use EC2 to host web applications, development environments, or data processing systems. Technically, EC2 offers more than 600 instance types optimized for different use cases (compute, memory, storage, GPU), which can be configured with AMIs (Amazon Machine Images) containing the operating system and pre-installed software.

Amazon S3 (Simple Storage Service) is a popular object storage service that offers high capacity, availability and security. S3 is used to store backups, create content repositories, host static websites or build microservices architecture. By integrating with other AWS services, S3 is at the heart of many cloud solutions. S3 makes data available through a standard RESTful API, enabling integration with virtually any application. The service offers different classes of storage (S3 Standard, Infrequent Access, Glacier, Intelligent-Tiering) varying in price and availability, allowing costs to be optimized depending on the frequency of data access.

Amazon RDS (Relational Database Service) automates complex database administration tasks such as configuration, backup, and software updates. RDS supports popular database engines, including MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB, allowing companies to migrate existing databases to the cloud without radical application changes. RDS offers advanced features such as Multi-AZ deployment (synchronous replication between availability zones), Read Replicas (read-only replicas for query scaling), Point-in-Time Recovery (the ability to restore a database to any point in time) and automatic version and security patch management.

A key factor in the success of these three services is their maturity, reliability and continuous development of functionality to meet changing business needs. AWS regularly innovates these foundational services while maintaining high backward compatibility, allowing companies to build long-term cloud strategies.

A practical guide to selecting foundation services:

EC2 instance selection:
- Determine computing requirements (CPU, RAM, network bandwidth)
- For applications with uneven load, consider burstable instances (T3, T4g)
- For permanent high-performance workloads, choose dedicated instances (M6i, C6i)
- For ML/AI workloads, consider instances with GPU acceleration (P4, G5)
S3 – cost and performance optimization:
- Standard access data: S3 Standard
- Data available less frequently (backups): S3 Standard-IA or S3 One Zone-IA
- Archive data: S3 Glacier or S3 Glacier Deep Archive
- Configure S3 Lifecycle Rules to automatically move data between classes
RDS – selection of database instances:
- Determine performance requirements (IOPS, bandwidth, capacity)
- For production systems, always use a multi-AZ configuration
- Scale up your reading by adding Read Replicas
- Consider Amazon Aurora for applications requiring high performance

What are the key business benefits of implementing AWS?

The implementation of AWS brings tangible financial benefits to companies by fundamentally changing their IT spending model. The transformation of costs from a capital model (CAPEX) to an operating model (OPEX) frees up significant financial resources that can be used for development and innovation. Instead of investing in expensive equipment that needs to be replaced every few years, companies pay only for the resources actually used. This flexible model is particularly suitable for fast-growing organizations that can respond immediately to market changes without having to forecast resource requirements years in advance.

AWS enables unprecedented speed of deployment of new solutions, resulting in faster time-to-market. Development teams can set up complete test or production environments in minutes, which was impossible in the traditional infrastructure management model. This gives companies a competitive advantage by responding faster to customer needs and changing market trends. In addition, the automation of many administrative processes allows IT teams to focus on activities that bring real business value instead of routine maintenance tasks.

AWS’ global infrastructure enables companies to expand into new markets with virtually no technology barriers. Launching services in a new geographic region doesn’t require building local data centers – just a few clicks in the AWS management console. This ability to scale globally is particularly valuable for e-commerce, SaaS or media companies, which can serve customers around the world with low latency and in compliance with local regulations. AWS currently offers regions in Europe, North and South America, Asia, Africa and Australia, with multiple local availability zones for high fault tolerance.

Transform IT spending with AWS

Conversion of capital expenditures (CAPEX) to operating expenditures (OPEX)
Payment only for resources actually consumed
Eliminate the cost of redundant infrastructure purchased “in stock”
Reducing the cost of maintaining in-house infrastructure
Reduce license expenses with managed services

How does AWS ensure the security and reliability of corporate data?

AWS takes a multi-layered approach to security, including physical protection of data centers, encryption of data at rest and during transmission, and advanced access controls. AWS data centers are designed to the highest security standards, with biometric access control, 24/7 monitoring and regularly audited security procedures. At the infrastructure level, AWS offers mechanisms such as AWS Shield for protection against DDoS attacks, AWS WAF (Web Application Firewall) for securing web applications, and Amazon GuardDuty for continuous threat monitoring.

A key element of security in AWS is the shared responsibility model, which clearly defines the responsibilities of AWS and the customer. AWS is responsible for cloud security (physical infrastructure, networks, hypervisors), while the customer is responsible for cloud security (service configuration, access management, data protection). This model allows companies to determine precisely where the provider’s responsibility ends and their own begins, which is crucial for effective risk management. AWS also provides numerous tools, such as AWS Config, CloudTrail and Security Hub, to help companies monitor and enforce compliance of their environment with security policies.

The reliability of AWS infrastructure is based on the concept of regions and availability zones, which provide high availability and fault tolerance. Each AWS region consists of multiple physically separated availability zones that are connected by low-latency networks, but remain isolated in terms of power, cooling and network infrastructure. This architecture makes it possible to create fault-tolerant applications for individual data centers or even entire availability zones. AWS also offers services such as Auto Scaling, which automatically adjusts the number of EC2 instances to the current load, and Elastic Load Balancing, which distributes traffic among multiple instances and availability zones.

AWS enables the implementation of advanced disaster recovery (DR) and business continuity strategies at a much lower cost than traditional solutions. Companies can create multi-region architectures with automatic failover, replicate data between regions or implement backup/restore strategies with minimal operational impact. As a result, even smaller organizations can afford a level of security that was previously only available to the largest corporations with their own data centers.

What does the AWS pricing model look like and does it actually save money?

AWS’ pricing model is based on the pay-as-you-go principle, meaning that customers pay only for the resources they actually use, with no minimum commitments or upfront fees. This flexible pricing model allows you to precisely match your IT infrastructure spending with your actual business needs and current scale. AWS offers a variety of pricing options to suit different usage scenarios – from standard on-demand rates, to Reserved Instances with discounts of up to 75% for a long-term commitment, to spot instances that allow you to use excess computing resources at discounts of up to 90%.

The actual savings from migrating to AWS depend on a number of factors, including the current infrastructure model, workload characteristics or level of optimization. Companies that move applications from traditional data centers to the cloud often report savings of 30-50% on total cost of ownership (TCO). These savings come not only from the elimination of hardware expenses, but also from reductions in maintenance, energy, cooling and space costs, as well as reduced administrative staffing requirements. Particularly large savings are achieved by companies with fluctuating workloads, which in a traditional model would have to buy infrastructure to accommodate peak loads, while in AWS they pay only for actual consumption.

AWS also offers advanced cost management and optimization tools to help identify inefficiently used resources and potential areas for savings. AWS Cost Explorer provides detailed analysis of expenses and cost trends, AWS Budgets allows you to set budget alerts, and AWS Trusted Advisor offers optimization recommendations for cost, performance and security. In addition, services such as AWS Lambda (serverless features) or containerization with Amazon ECS or EKS allow even more efficient use of resources by eliminating unnecessary capacity and paying only for actual code execution time.

AWS cost optimization

Use of instances reserved for stable workloads (discounts up to 75%)
Spot instances for interrupt tolerant tasks (discounts up to 90%)
Selecting the right instance size for actual needs (right-sizing)
Automatic scaling down during low load periods
Use of serverless architecture for variable workloads

Which AWS services are essential for companies starting out in the cloud?

For companies embarking on the AWS cloud adventure, it’s crucial to build a solid foundation that provides security, cost control and the ability to continue to grow. AWS Organizations allows you to centrally manage multiple AWS accounts, which is important even for smaller organizations that want to separate production and test or development environments. This service also enables the implementation of central security policies, access control and cost management, preventing organizational chaos as cloud usage grows. In addition, AWS Identity and Access Management (IAM) is essential to properly manage permissions and access to resources according to the principle of least privilege.

Amazon Virtual Private Cloud (VPC) provides the foundation for a secure network infrastructure on AWS, enabling isolation of resources in a virtual network, definition of subnets, routing tables and control of network traffic. VPC allows for an architecture similar to traditional enterprise networks, but with the added benefits of cloud flexibility. Combined with services such as AWS Direct Connect (a dedicated connection from a customer’s data center to AWS) or VPN, companies can create secure hybrid connections between their existing infrastructure and the AWS cloud.

AWS CloudTrail and Amazon CloudWatch are essential for visibility and monitoring of the cloud environment. CloudTrail records all API calls in the AWS environment, providing full visibility into activity and configuration changes, essential for both security audits and troubleshooting. CloudWatch enables real-time monitoring of resources and applications, collecting and presenting metrics, logs and alerts. With these services, companies gain full visibility into the performance of their cloud infrastructure and can react quickly to anomalies or performance issues.

A comprehensive service that can significantly ease your initial steps in AWS is AWS Control Tower. It allows you to automatically deploy a well-designed, best-practice compliant, multi-account AWS environment within a few clicks. Control Tower configures basic security services, such as CloudTrail, Config and IAM, according to recognized security and compliance frameworks. For companies without extensive DevOps teams or cloud experience, Control Tower significantly speeds up the deployment process and minimizes the risk of configuration errors that could lead to security or service availability issues.

How does AWS support business process automation and optimization?

AWS offers a range of tools that enable advanced automation of IT and business processes, eliminating repetitive, time-consuming tasks and reducing the risk of human error. AWS CloudFormation allows you to define your entire infrastructure as code (Infrastructure as Code), enabling you to automatically deploy consistent, replicated environments without manual configuration. This allows companies to standardize their environments, deploy changes in a controlled manner and quickly replicate entire technology stacks in case of failure or for testing purposes. CloudFormation also supports configuration management as code, a cornerstone of the modern DevOps approach.

A true revolution in business process automation is AWS Step Functions, which enable the creation of complex, multi-step workflows (workflows) without writing complex code. Step Functions allow you to visually define and monitor sequences of operations, including Lambda function calls, data processing, communication with external systems or business decisions. Thus, even complex business processes, such as order processing, customer verification or price calculation, can be automated and scaled without the need to build dedicated workflows.

Amazon EventBridge introduces an event-driven architecture that enables automatic response to changes in state in the AWS environment or external applications. EventBridge allows the integration of different systems through rules that determine what actions to take in response to specific events – for example, automatically processing newly uploaded files, responding to security alerts or updating business dashboards. This service eliminates the need to constantly query systems for changes and allows building flexible, loosely coupled architectures that are easier to maintain and develop.

AWS also offers specialized solutions for automating specific operational areas. AWS Systems Manager helps manage a fleet of EC2 instances, automate maintenance tasks, patch applications or execute commands on multiple servers simultaneously. Amazon CodePipeline automates the continuous integration and deployment (CI/CD) process, allowing for fast, repeatable and controlled releases of new software versions. AWS Glue automates ETL (Extract, Transform, Load) processes, making it easier to integrate data from different sources without having to manually code complex transformation routines. All these tools translate into measurable time and cost savings, allowing IT teams to focus on innovation instead of routine operational tasks.

Automation in AWS – key benefits

Eliminate repetitive, error-prone manual tasks
Standardize processes and configurations across the organization
Faster implementation of changes and new functionalities
Reduction in time required for infrastructure management
Automatic scaling in response to load changes

How does AWS help the digital transformation of the enterprise?

AWS is acting as a catalyst for digital transformation, offering companies access to advanced technologies that were previously available only to the largest corporations with huge IT budgets. Analytics platforms such as Amazon Redshift, EMR and Athena allow organizations of all sizes to process and analyze huge data sets without having to build expensive analytics infrastructure. This enables companies to make data-driven business decisions (data-driven decision making), discover new market trends or optimize operational processes. AWS QuickSight enables the creation of interactive business dashboards accessible to all stakeholders, democratizing access to data in the organization.

The AWS cloud enables rapid experimentation and deployment of innovative solutions with minimal risk. Companies can launch new applications or services in minutes, test them on real users, and then quickly iterate based on the feedback gathered. This “fail fast, learn fast” model is the foundation of the modern approach to digital innovation, and allows companies to experiment more boldly than would be possible under a traditional IT model. Thanks to the flexibility of AWS, the cost of failed experiments is minimal – you can simply turn off unused resources and try a different approach.

AWS also enables deep transformation of business models, helping companies move from traditional product sales to subscription-based service (SaaS) models. With its global infrastructure, flexible scaling and pay-as-you-go model, AWS provides an ideal foundation for SaaS applications, enabling companies to focus on developing valuable functionality instead of managing infrastructure. Services such as Amazon Cognito (user management), API Gateway, AWS Marketplace and billing services significantly accelerate the transformation to digital models, eliminating the need to build these components from scratch. This is especially valuable for traditional companies that want to go digital and compete with digital disruptors.

What artificial intelligence and machine learning capabilities does AWS offer?

AWS is democratizing access to artificial intelligence and machine learning technologies, offering a complete ecosystem of tools tailored to different levels of expertise. Amazon SageMaker is AWS’ flagship solution for machine learning, providing a complete platform for preparing data, training, deploying and monitoring models. SageMaker simplifies the entire ML process by automating many technical aspects, allowing data scientists to focus on building valuable models instead of struggling with infrastructure. Additionally, SageMaker offers a range of pre-built ML algorithms that can be quickly customized for specific use cases, significantly speeding up time-to-market for AI-based solutions.

AWS also offers a set of off-the-shelf AI services that can be easily integrated into business applications without requiring machine learning expertise. Amazon Rekognition enables image and video analysis, identifying objects, people, text or unwanted content. Amazon Comprehend allows advanced text analysis, extracting key phrases, sentiments or topic categories. Amazon Translate and Polly enable text translation and the generation of natural-sounding speech, respectively, and Amazon Transcribe converts speech to text with high accuracy. These services can be easily integrated via APIs, allowing existing applications to be enriched with AI functions without extensive implementation projects.

For companies looking for more advanced AI solutions, AWS offers Amazon Bedrock, a managed foundation model service that provides access to leading large-scale language and generative AI models. With Bedrock, companies can experiment with different models (such as Claude, Llama, Stable Diffusion), customize them through fine-tuning, and securely deploy them in production applications. Amazon SageMaker Canvas complements these capabilities by offering a no-code ML modeling tool accessible to business analysts without programming experience. With Canvas, virtually any employee can create predictive models based on company data, accelerating AI adoption across the organization and enabling new use cases to be discovered directly by domain experts.

Levels of AI/ML use in AWS

Off-the-shelf AI services (Rekognition, Comprehend, Translate) – instant integration via APIs
Amazon Bedrock – access to the latest foundation models and generative AI
SageMaker Canvas – creating ML models without coding for business analysts
Amazon SageMaker – a complete platform for data science and ML teams
GPU infrastructure and specialized computing instances for custom AI solutions

How does AWS handle heavy workloads and scalability?

AWS is designed to handle the most demanding workloads with a flexible, global infrastructure that can scale virtually without limit. The fundamental service that provides scalability is Amazon EC2 Auto Scaling, which automatically adjusts the number of EC2 instances according to current demand. The system monitors applications and dynamically increases capacity during peak loads and then reduces it during low traffic periods, optimizing costs. Auto Scaling can be configured for both predictable load patterns (e.g., higher traffic during business hours) and unexpected traffic spikes, ensuring optimal performance and cost control.

A key component of AWS’ high availability architecture is Elastic Load Balancing (ELB), which distributes incoming traffic among multiple instances and availability zones. AWS offers several types of load balancers to suit different needs: Application Load Balancer (ALB) for HTTP/HTTPS traffic, Network Load Balancer (NLB) for high-performance TCP/UDP applications, and Gateway Load Balancer for advanced network services. ELB not only ensures even load distribution, but also automatically detects instance problems and redirects traffic to healthy nodes, minimizing the impact of failures on application availability.

AWS also offers solutions for advanced scaling scenarios, such as serverless architectures and containerization. AWS Lambda automatically scales in response to the number of requests, running code only when needed and automatically handling thousands of parallel calls. Amazon ECS (Elastic Container Service) and EKS (Elastic Kubernetes Service) provide managed environments for running containerized applications that can automatically scale according to load. For databases, services such as Amazon Aurora Serverless, DynamoDB and Redshift offer automatic capacity scaling, ensuring stable performance even when the number of queries surges. This flexibility of AWS infrastructure allows companies to handle both predictable traffic spikes (e.g., sales promotions, marketing campaigns) and unexpected viral peaks without having to manually manage the infrastructure.

Why do global companies choose AWS as their cloud platform?

The global reach of AWS infrastructure is a key consideration for multinational corporations that need to serve customers on different continents with low latency and in compliance with local data protection regulations. AWS has regions on every inhabited continent, enabling companies to run applications closer to end users, resulting in faster responsiveness and better user experience. In addition, AWS offers the Amazon CloudFront service, a global content distribution network (CDN) that delivers content from more than 410 points of presence around the world, minimizing latency and providing fast access to applications and content regardless of users’ location.

AWS’ comprehensive approach to regulatory compliance helps global companies meet regulatory requirements across jurisdictions. AWS has achieved compliance certifications for key industry standards and regulations such as GDPR, HIPAA, PCI DSS, SOC, ISO/IEC 27001 and many others. The AWS Artifact service provides access to compliance reports and certifications that can be used during audits. What’s more, AWS offers special regions for the public sector, such as AWS GovCloud (US) and AWS China, which meet the specific regulatory requirements of these markets. This allows global companies to deploy consistent technology platforms in different markets, while complying with local data storage and processing regulations.

The maturity and reliability of the AWS platform, proven by supporting millions of customers worldwide, gives global corporations confidence that their critical business systems will run stably. AWS regularly updates its infrastructure and innovates without impacting running applications, offering an industry-leading Service Level Agreement (SLA) with a 99.99% availability guarantee for critical services. For companies operating globally 24/7, every minute of downtime can mean significant financial and reputational losses, so infrastructure reliability is critical. AWS also provides advanced monitoring and automation tools such as Amazon CloudWatch, AWS X-Ray and AWS Auto Scaling to help maintain high application availability even under heavy loads or when infrastructure components fail.

AWS global capabilities in numbers

31 geographic AWS regions around the world
99 availability zones for high reliability
More than 410 CloudFront points of presence for rapid content delivery
Presence on 6 continents
Compliance with regulations and certifications in more than 50 compliance programs

How does AWS support the development of e-commerce applications and services?

AWS offers a comprehensive set of services tailored to the needs of modern e-commerce platforms, enabling rapid deployment of functionality that builds competitive advantage in a dynamic marketplace. AWS’ flexible infrastructure provides an ideal foundation for e-commerce applications that need to handle large fluctuations in traffic, from daily operations to extreme peaks during sale periods, Black Friday or before the holidays. With Auto Scaling, e-commerce companies are not in danger of losing revenue due to store unavailability during key sales moments. At the same time, the pay-as-you-go model means they don’t overpay for unused infrastructure during periods of lower traffic, optimizing operating costs.

AWS also offers advanced solutions for personalizing the shopping experience, which is crucial for modern e-commerce. Amazon Personalize lets you implement the same product recommendation technologies that drive Amazon.com’s success, without having to build your own machine learning systems. Personalize analyzes user behavior in real time and delivers personalized product, category or content recommendations, increasing conversion and average cart value. In addition, services such as Amazon Pinpoint and Amazon SES enable precise targeting of marketing communications, campaign automation and customer segmentation, resulting in higher customer engagement and loyalty.

Transaction security and customer data protection are fundamental challenges for e-commerce companies, and AWS provides advanced solutions in this area. AWS WAF (Web Application Firewall) protects e-commerce stores from common web attacks, Amazon GuardDuty detects malicious activity and fraud attempts, and AWS Shield provides protection against DDoS attacks that could cripple platform operations. AWS also offers PCI DSS-compliant services for secure payment processing, such as secure payment card data storage, transmission encryption and cryptographic key management. With these solutions, companies can build customer trust and protect their reputation, which is crucial in a competitive e-commerce environment.

What is the process of migrating a company’s infrastructure to AWS?

The process of migrating to AWS begins with a thorough assessment of the existing infrastructure and applications to understand the dependencies between systems and determine the optimal migration strategy. AWS offers a dedicated tool for this purpose – AWS Migration Hub, which helps inventory applications, analyze their compatibility with the cloud and track migration progress. At this stage, it is also crucial to define the business objectives of the migration, such as cost reduction, increased flexibility or improved security, which will form the basis for evaluating the success of the project. In parallel, the organization should build cloud competence by training IT teams and creating Cloud Centers of Excellence to support the transformation.

The next step is to choose the right migration strategy for each application, following the 6R (Rehost, Replatform, Refactor, Repurchase, Retire, Retain) model. The simplest approach is Rehost (lift-and-shift), which involves moving the application to the cloud without significant changes to the architecture, allowing rapid migration with minimal risks. Replatform (lift-and-optimize) involves minor modifications to the application to better leverage cloud capabilities, such as swapping the database server for Amazon RDS. Refactor (re-architect) is a deep redesign of an application toward a cloud-native architecture, often using microservices, containers or serverless solutions, which yields the maximum benefits, but requires the most work. AWS offers tools to support each of these approaches, such as AWS Application Migration Service for a rehost strategy or AWS App2Container for application containerization.

The migration itself should be done in phases, with clearly defined milestones and validation mechanisms. It often starts with less critical applications so that teams can gain experience and develop best practices before migrating key business systems. AWS offers a number of tools to support the migration process, such as AWS DataSync for transferring large data sets, AWS Database Migration Service for migrating databases with minimal downtime, or AWS Snow Family for physically transferring petabytes of data. Once migrated, it is crucial to implement operational processes tailored to the cloud model, including monitoring, cost management, automation and security. AWS offers comprehensive cloud environment management tools such as AWS Systems Manager, AWS Config and AWS CloudFormation to help maintain control and optimize the environment after migration.

AWS migration strategy – the 6R model

Rehost (lift-and-shift) – moving applications without changing the architecture
Replatform (lift-and-optimize) – minor modifications for better use of the cloud
Refactor (re-architect) – deep application rebuilding for full use of cloud capabilities
Repurchase (drop and shop) – replacing an application with an off-the-shelf SaaS solution
Retire – retire applications that do not bring business value
Retain – temporarily leaving the application in its current environment

What tools does AWS offer for analyzing and processing business data?

AWS offers a comprehensive ecosystem of analytics tools that enable companies of all sizes to transform raw data into valuable business insights. Amazon Redshift is the foundation of the analytics infrastructure, offering scalable data warehouses that can analyze petabytes of data using standard SQL queries. Redshift features high performance through optimization techniques such as columnar processing, data compression and parallel processing. The Redshift Spectrum feature allows you to analyze data directly from Amazon S3 without loading it into a database.

An important technical aspect when designing analytics solutions on AWS is choosing the right type of tool for a particular use case. While Redshift works well for structured data analytics in a data warehouse model, for stream processing Amazon Kinesis would be a better choice, and for semi-structured data processing it is worth considering Amazon EMR (Elastic MapReduce) with Hadoop/Spark or Amazon Athena for ad-hoc queries.

For companies that need real-time data processing, AWS offers services such as Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (MSK). Kinesis enables real-time collection, processing and analysis of data streams, which is crucial for IoT applications, monitoring user activity or detecting fraud. With Amazon Kinesis Data Analytics, companies can perform complex analysis on data streams using SQL or Apache Flink, without having to build a complex infrastructure to process the streams. This solution enables rapid response to business events before they become stale.

AWS is also democratizing access to advanced analytical tools for business users without technical expertise. Amazon QuickSight is a business intelligence service that lets you create interactive dashboards and data visualizations from a variety of sources. QuickSight uses machine learning technologies to automatically generate insights, detect anomalies and forecast trends to help companies identify new business opportunities. QuickSight also offers natural language Q&A capabilities, allowing business users to ask questions about data in plain English, without having to write SQL queries. This makes data analysis accessible to a wider range of employees, supporting a culture of data-driven decision-making across the organization.

How does AWS ensure compliance with legal and regulatory requirements?

AWS implements a shared responsibility model, which clearly defines the responsibilities of AWS and the customer in the area of compliance. AWS is responsible for the compliance of the cloud infrastructure itself (“cloud security”), while the customer is responsible for the compliant use of AWS services (“cloud security”). This division of responsibility is of crucial practical importance – for example, AWS secures the physical infrastructure and hypervisor, but the customer must take care of operating system updates, application-level access control or encryption of sensitive data on its own. Failure to understand this model is a common cause of security vulnerabilities in AWS environments.

To support customers, AWS has obtained numerous certifications and attestations to confirm compliance with global security standards and regulations, such as ISO 27001, SOC 1/2/3, PCI DSS, HIPAA, GDPR and many others. Documentation of these certifications is available to customers through the AWS Artifact service, which provides access to AWS compliance reports and online agreements that can be used during audits and compliance assessments.

AWS offers advanced tools to help companies implement and maintain regulatory compliant environments. AWS Config enables continuous assessment, audit and evaluation of AWS resource configurations for compliance with internal policies and external regulations. The service records configuration changes, evaluates them against defined rules and automatically alerts you to potential compliance violations. A practical application of AWS Config is the automatic detection of misconfigured Security Groups (e.g., open to the entire Internet), unencrypted S3 buckets or EC2 instances without up-to-date security patches.

AWS CloudTrail provides comprehensive tracking of API activity across all AWS services, which is critical for auditability and incident investigation. CloudTrail records all user activity, providing the evidence necessary to demonstrate compliance with regulations requiring detailed documentation of data access. A typical CloudTrail deployment includes sending logs to a central security account and configuring alerts for suspicious activity, such as changes to IAM policies, modifications to key security groups or unauthorized access to sensitive data.

For organizations operating in different jurisdictions, AWS offers regions and services tailored to local regulatory requirements. For example, AWS regions in the European Union are designed for GDPR compliance, offering full control over data location, comprehensive access management tools and data processing agreements that comply with European regulations. AWS is also deploying dedicated environments for highly regulated sectors, such as AWS GovCloud (US) for US government institutions, AWS China for the Chinese market, or special services for the financial and healthcare sectors. These dedicated environments are designed to meet specific industry requirements and local regulations, while maintaining the flexibility and functionality of the standard AWS platform.

Key AWS services for regulatory compliance

AWS Artifact – access to AWS compliance reports and certifications
AWS Config – automatic assessment of configuration compliance with policies and regulations
AWS CloudTrail – comprehensive tracking of API activity for audit purposes
Amazon Macie – automatic detection, classification and protection of sensitive data
AWS Security Hub – a central view of security and compliance status across the entire AWS environment

A practical compliance checklist:

Identify regulatory requirements for your industry and region of operation
Implement the foundations of control – AWS Organizations, IAM, CloudTrail, Config
Implement the principle of least privilege for all users and resources
Configure monitoring and alerts for security anomalies
Implement encryption mechanisms for sensitive data (at rest and during transmission)
Establish a process for regular security reviews and incident response
Conduct periodic penetration tests and vulnerability scans

How does AWS support hybrid and remote working in an organization?

AWS offers comprehensive solutions to support remote and hybrid work, enabling secure access to corporate resources regardless of employees’ location. Amazon WorkSpaces is a virtual desktop service in the cloud (Desktop-as-a-Service) that provides remote workers with a full-fledged work environment accessible from any device via a web browser or dedicated client applications. WorkSpaces eliminates the need to provision and maintain physical work computers while providing a unified, centrally managed work environment. Administrators can easily allocate resources, install software and enforce security policies for all virtual workstations, greatly simplifying IT management in a distributed work model.

Complementing WorkSpaces is Amazon AppStream 2.0, which allows specific applications, instead of entire desktops, to be streamed to web browsers. This service is ideal for organizations that want to make specific business applications available to their employees without the need for local installation or full desktop virtualization. AppStream 2.0 is particularly valuable for applications that require significant computing resources or specialized software that would normally require high-performance workstations. With this service, employees can use advanced applications even on basic devices, as all processing is done in the AWS cloud.

AWS also offers solutions to improve collaboration in distributed teams. Amazon Chime is a communications service that integrates voice, video, chat and screen sharing into a single application. Amazon WorkDocs provides secure storage, management and sharing of corporate documents, with advanced version control and commenting features. In addition, AWS offers Amazon Connect tools for cloud-based contact centers, enabling companies to run professional customer service by agents working remotely. All of these services integrate with existing AWS security systems, such as IAM, enabling consistent identity and access management across the hybrid work environment.

What technical and training support does AWS offer for businesses?

AWS provides a tiered support system tailored to different business needs – from small startups to global corporations. The basic AWS Basic Support plan, available free to all AWS customers, provides access to documentation, whitepapers, a community support forum and a limited set of tools and architecture advice. For companies requiring more extensive support, AWS offers paid Developer, Business, Enterprise On-Ramp and Enterprise plans. These plans vary in response time (from 24 hours in the Developer plan to 15 minutes in the Enterprise plans for critical cases), support availability (from email support to 24/7 phone support) and additional services, such as architectural support or an assigned Technical Account Manager in the Enterprise plans.

AWS is also investing in cloud competency development through a comprehensive training and certification program. AWS Training and Certification offers a wide range of courses – from AWS cloud basics to advanced topics such as machine learning, security and Big Data architecture. Training is available in a variety of formats: from online courses and virtual workshops to intensive classroom training by AWS certified instructors. AWS also offers certification programs at various levels (Foundational, Associate, Professional, Specialty) that validate competence in designing, implementing and operating AWS cloud solutions. AWS certifications are highly valued in the job market and help companies build teams with proven cloud skills.

For organizations embarking on a cloud adventure or implementing complex migration projects, AWS offers professional consulting services programs. AWS Professional Services is a team of experts who help customers achieve their business goals through effective use of AWS services. The team supports customers at every stage – from initial readiness assessment and strategic planning, through architecture design and migration, to optimization and implementation of advanced solutions. In addition, AWS works with a global network of partners (AWS Partner Network) that offer specialized consulting, implementation and managed services for various industries and technologies. With this ecosystem, companies can find the right support tailored to their specific needs, regardless of the size of the organization or the complexity of the project.

AWS support levels

Basic – free, access to documentation and community forum
Developer – email support during business hours, 12-24h response time
Business – 24/7 support via phone and chat, response time from 1h for critical cases
Enterprise On-Ramp – dedicated Technical Account Manager for customer groups, response time of 30 minutes for critical cases
Enterprise – dedicated Technical Account Manager, 15 min response time for critical cases, proactive support and advice

Is AWS the right solution for small and medium-sized businesses?

AWS is perfectly suited to the needs of small and medium-sized enterprises (SMEs) thanks to a flexible pricing model that eliminates the barrier to entry of high upfront costs. The pay-as-you-go model allows SMEs to take advantage of advanced technologies without having to invest in expensive hardware and infrastructure, which is particularly valuable for companies with limited IT budgets. In addition, AWS offers a Free Tier that allows you to experiment with AWS services for 12 months at no cost (within certain limits), allowing you to safely begin your cloud adventure. For startups, AWS also offers the AWS Activate program, which provides credits for AWS services, technical support, training and access to the community, helping young companies grow without excessive financial burden.

AWS provides SMEs with access to technologies and capabilities that were previously only available to large corporations. With AWS, even a small company can launch a global application with high availability, deploy advanced analytics or use artificial intelligence to optimize business processes. This leveling of the technological playing field allows SMEs to compete with larger players in the global market. Of particular value to smaller companies are AWS managed services such as RDS, DynamoDB and Lambda, which automate complex administrative tasks, eliminating the need to hire specialized system administrators and allowing limited human resources to focus on core business development.

SMEs especially appreciate the ability to scale infrastructure quickly in response to changing business needs. For companies in the growth phase, the ability to scale resources rapidly is crucial – with AWS, they can handle suddenly growing traffic or increasing workloads without having to anticipate future needs well in advance. Equally important is the ability to experiment and iterate quickly – small businesses can easily test new ideas and functionality without significant investment, and then expand on those that work. AWS also offers dedicated support for SMEs through its AWS for Startups program, workshops and webinars aimed at smaller organizations, and simplified deployment guides and reference architectures that help companies with limited IT teams effectively leverage cloud capabilities.

What will the future of AWS services look like in the years to come?

The future of AWS will be shaped by the progressive integration of artificial intelligence and machine learning technologies across its portfolio of services. Today, we are already seeing the beginnings of this trend – Amazon Bedrock, SageMaker and other AI/ML services are being increasingly integrated with traditional AWS services, automating complex tasks and adding intelligent features to existing solutions.

At the re:Invent 2024 conference, AWS unveiled several groundbreaking AI services that define the direction of the platform:

Amazon Q Developer Pro – an AI programming assistant that helps developers write, debug and optimize code by understanding the context of the entire project. The tool integrates with popular IDEs and offers advanced features to support programming in more than 15 languages.
AWS Clean Rooms ML – a service that enables secure collaboration on data with privacy. Allows organizations to create ML models on linked datasets without revealing sensitive information between parties.
Amazon Titan Image Generator G2 – an advanced image generation model with security features such as filtering unwanted content and tamper-resistant watermarking.
SageMaker HyperPod – dedicated infrastructure for training large language models (LLMs) with flexible scaling to thousands of GPUs and automatic resumption after failures, drastically reducing training time.

In the coming years, we can expect even deeper integration, where AI algorithms will support virtually every aspect of cloud management – from automated scaling and cost optimization, to security anomaly detection, to intelligent architectural consulting. AWS is also aggressively developing generative AI capabilities, offering companies increasingly easy access to large language models and other generative technologies through Amazon Bedrock – including exclusive models Claude from Anthropic and Llama 3.1 from Meta.

Another key direction for AWS will be to further abstract infrastructure complexity through serverless and no-code/low-code solutions. AWS is already investing heavily in services such as Lambda, Step Functions and Amplify, which eliminate the need to manage the underlying infrastructure. The latest deployments are particularly important:

AWS Application Composer – a graphical serverless application design tool that lets you create entire technology stacks by dragging and dropping components, automatically generating infrastructure code (IaC) in AWS SAM or AWS CDK format.

Amazon EventBridge Pipes – a service that simplifies integration between event sources and targets without the need for complex intermediary logic, allowing filtering, enrichment and transformation of data within a single resource.
AWS Step Functions Workflow Studio – a visual interface for creating cloud workflows with a rich library of ready-to-use integrations with AWS services, as well as parallel processing and error management capabilities.

In the future, we can expect to see even more advanced tools that allow complex applications and business processes to be created with minimal or no coding. This democratization of technology will allow companies to focus on business innovation instead of infrastructure management. In parallel, AWS is developing the Amazon CodeCatalyst platform, which offers an integrated cloud-based development environment with collaboration, CI/CD and project management mechanisms tailored to the needs of professional development teams working in a remote model.

In response to growing concerns about data sovereignty and local regulation, AWS is aggressively developing solutions to support multi-cloud and hybrid architectures. Recent initiatives in this area include:

AWS Sovereign Cloud for Europe – dedicated AWS regions designed specifically for European customers in regulated industries, ensuring full compliance with EU requirements for data residency, operational control and independence from non-EU jurisdictions.
Expansion of AWS Outposts functionality – Outposts appliances are now available in smaller formats (1U and 2U), making it possible to deploy AWS services even in small branch offices and edge locations with limited space.
Amazon EKS Anywhere with Snow Family integration – the ability to run AWS-managed Kubernetes clusters on Snow devices in locations with limited or no internet connectivity.

In terms of sustainability, AWS has introduced new tools and initiatives:

AWS Customer Carbon Footprint Tool – a detailed dashboard that allows customers to monitor the carbon footprint of their AWS workloads with the ability to analyze trends and identify areas for optimization.
Dedicated regions powered by renewable energy – New AWS regions are being designed to use 100% renewable energy, and existing ones are being systematically upgraded.
Energy efficiency optimization programs – tools that automatically recommend more energy-efficient instance types and architectures, while maintaining performance requirements.

These initiatives are responding to increasing regulatory pressures (such as the EU Climate Neutrality Act and the US Federal Cloud Computing Strategy) and growing environmental awareness among corporate customers, becoming an important competitive factor in the cloud services market.

Key trends in the development of AWS

Further simplify management and automate cloud operations
Deeper AI/ML integration across all AWS services
Development of serverless architecture and no-code/low-code platforms
Expanding the capabilities of hybrid and multi-cloud solutions
Increased emphasis on data sovereignty and regionalization of services
Advanced solutions for sustainability and carbon footprint optimization