Revolutionize Your Search Engine with Amazon Personalize and Amazon OpenSearch Service

In the rapidly evolving cloud computing landscape, AWS Step Functions has emerged as a cornerstone for developers looking to orchestrate complex, distributed applications seamlessly in serverless implementations. The recent expansion of AWS SDK integrations marks a significant milestone, introducing support for 33 additional AWS services, including cutting-edge tools like Amazon Q, AWS B2B Data Interchange, AWS Bedrock, Amazon Neptune,  and Amazon CloudFront KeyValueStore, etc. This enhancement not only broadens the horizon for application development but also opens new avenues for serverless data processing.

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Serverless computing has revolutionized the way we build and scale applications, offering a way to execute code in response to events without the need to manage the underlying infrastructure. With the latest updates to AWS Step Functions, developers now have at their disposal a more extensive toolkit for creating serverless workflows that are not only scalable but also cost-efficient and less prone to errors.

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In this blog, we will delve into the benefits and practical applications of these new integrations, with a special focus on serverless data processing. Whether you're managing massive datasets, streamlining business processes, or building real-time analytics solutions, the enhanced capabilities of AWS Step Functions can help you achieve more with less code. By leveraging these integrations, you can create workflows that directly invoke over 11,000+ API actions from more than 220 AWS services, simplifying the architecture and accelerating development cycles.

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Practical Applications in Data Processing:

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This AWS SDK integration with 33 new services not only broadens the scope of potential applications within the AWS ecosystem but also streamlines the execution of a wide range of data processing tasks. These integrations empower businesses with automated AI-driven data processing, streamlined EDI document handling, and enhanced content delivery performance.

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Amazon Q Integration: Amazon Q is a generative AI-powered enterprise chat assistant designed to enhance employee productivity in various business operations. The integration of Amazon Q with AWS Step Functions enhances workflow automation by leveraging AI-driven data processing. This integration allows for efficient knowledge discovery, summarization, and content generation across various business operations. It enables quick and intuitive data analysis and visualization, particularly beneficial for business intelligence. In customer service, it provides real-time, data-driven solutions, improving efficiency and accuracy. It also offers insightful responses to complex queries, facilitating data-informed decision-making.

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AWS B2B Data Interchange: Integrating AWS B2B Data Interchange with AWS Step Functions streamlines and automates electronic data interchange (EDI) document processing in business workflows. This integration allows for efficient handling of transactions including order fulfillment and claims processing. The low-code approach simplifies EDI onboarding, enabling businesses to utilize processed data in applications and analytics quickly. This results in improved management of trading partner relationships and real-time integration with data lakes, enhancing data accessibility for analysis. The detailed logging feature aids in error detection and provides valuable transaction insights, essential for managing business disruptions and risks.

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Amazon CloudFront KeyValueStore: This integration enhances content delivery networks by providing fast, reliable access to data across global networks. It's particularly beneficial for businesses that require quick access to large volumes of data distributed worldwide, ensuring that the data is always available where and when it's needed.

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Neptune Data: This integration allows the Processing of graph data in a serverless environment, ideal for applications that require complex relationships and data patterns like social networks, recommendation engines, and knowledge graphs. For instance, Step Functions can orchestrate a series of tasks that ingest data into Neptune, execute graph queries, analyze the results, and then trigger other services based on those results, such as updating a dashboard or triggering alerts.

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Amazon Timestream Query & Write: The integration is useful in serverless architectures for analyzing high-volume time-series data in real-time, such as sensor data, application logs, and financial transactions. Step Functions can manage the flow of data from ingestion (using Timestream Write) to analysis (using Timestream Query), including data transformation, anomaly detection, and triggering actions based on analytical insights.

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Amazon Bedrock & Bedrock Runtime: AWS Step Functions can orchestrate complex data streaming and processing pipelines that ingest data in real-time, perform transformations, and route data to various analytics tools or storage systems. Step Functions can manage the flow of data across different Bedrock tasks, handling error retries, and parallel processing efficiently

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AWS Elemental MediaPackage V2: Step Functions can orchestrate video processing workflows that package, encrypt, and deliver video content, including invoking MediaPackage V2 actions to prepare video streams, monitoring encoding jobs, and updating databases or notification systems upon completion. 

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AWS Data Exports: With Step Functions, you can sequence tasks such as triggering data export actions, monitoring their progress, and executing subsequent data processing or notification steps upon completion. It can automate data export workflows that aggregate data from various sources, transform it, and then export it to a data lake or warehouse.

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Benefits of the New Integrations

The recent integrations within AWS Step Functions bring forth a multitude of benefits that collectively enhance the efficiency, scalability, and reliability of data processing and workflow management systems. These advancements simplify the architectural complexity, reduce the necessity for custom code, and ensure cost efficiency, thereby addressing some of the most pressing challenges in modern data processing practices. Here's a summary of the key benefits:

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Simplified Architecture: The new service integrations streamline the architecture of data processing systems, reducing the need for complex orchestration and manual intervention.

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Reduced Code Requirement: With a broader range of integrations, less custom code is needed, facilitating faster deployment, lower development costs, and reduced error rates.

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Cost Efficiency: By optimizing workflows and reducing the need for additional resources or complex infrastructure, these integrations can lead to significant cost savings.

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Enhanced Scalability: The integrations allow systems to easily scale, accommodating increasing data loads and complex processing requirements without the need for extensive reconfiguration.

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Improved Data Management: These integrations offer better control and management of data flows, enabling more efficient data processing, storage, and retrieval.

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Increased Flexibility: With a wide range of services now integrated with AWS Step Functions, businesses have more options to tailor their workflows to specific needs, increasing overall system flexibility.

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Faster Time-to-Insight: The streamlined processes enabled by these integrations allow for quicker data processing, leading to faster time-to-insight and decision-making.

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Enhanced Security and Compliance: Integrating with AWS services ensures adherence to high security and compliance standards, which is essential for sensitive data processing and regulatory requirements.

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Easier Integration with Existing Systems: These new integrations make it simpler to connect AWS Step Functions with existing systems and services, allowing for smoother digital transformation initiatives.

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Global Reach: Services like Amazon CloudFront KeyValueStore enhance global data accessibility, ensuring high performance across geographical locations.

As businesses continue to navigate the challenges of digital transformation, these new AWS Step Functions integrations offer powerful solutions to streamline operations, enhance data processing capabilities, and drive innovation. At Cloudtech, we specialize in serverless data processing and event-driven architectures. Contact us today and ask how you can realize the benefits of these new AWS Step Functions integrations in your data architecture.

Irrespective of your business size, you can’t ignore the value assessment of any product or service you plan to purchase. The right investment in the right system, process, and infrastructure is essential for success in your business. And how can you make the right financial decisions and understand whether “X” product/service is generating value or not for your business?

Total Cost of Ownership or TCO analysis is one method that can help you in this situation, especially if you are planning to analyze these costs on the cloud. Amazon’s AWS is a leading public cloud platform offering over 200 fully featured services, including AWS TCO analysis -a service to analyze the total costs of an asset or infrastructure on the cloud. It offers services to diverse customers – startups, government agencies, and the largest enterprises. Its agility, innovation, safety, and several data centers make it comprehensive and adaptable.

Read on to learn more about the TCO analysis and how AWS TCO analysis works.

What is TCO analysis?

As the name suggests, TCO estimates costs associated with purchasing, deploying, operating, and maintaining any asset. The asset could be physical or virtual products, services, or tools. The TCO analysis’s primary purpose is to assess the asset’s cost throughout its life cycle and to determine the return on investment.

Regarding the IT industry, TCO analysis consists of costs related to hardware/software acquisition, end-user expenses, training, network, servers, and communications. According to Gartner, “TCO is a comprehensive assessment of IT or other costs across enterprise boundaries over time.”

TCO analysis in Cloud

The adoption of cloud computing in business also raises the trend of TCO analysis on the cloud. You can call it, cloud TCO analysis, which performs the same job on the cloud. TCO analysis in the cloud calculated the total costs of adopting, executing, and provisioning cloud infrastructure. When you are planning to migrate to the cloud, this analysis helps you to weigh the current costs and cloud adoption costs. Not only Amazon, but other big tech giants, including Microsoft, Google, IBM, and many more, offering TCO analysis in the cloud. But, Amazon’s AWS is the number one cloud service provider to offer cloud services.

Why do businesses need AWS TCO analysis?

A TCO analysis helps to know whether there will be profit or loss.

Let’s understand it with an example showing how AWS TCO analysis helped the company increase its profit. The top OTT platform, Netflix, invested $9.6 million per month in AWS Cost in 2019, which would increase by 2023. According to this resource, it would be around $27.78 million per month. The biggest reason behind this investment is the profit, and AWS TCO analysis is helping them to know how this profit is happening. AWS helped Netflix to get a cost-effective and scalable cloud architecture horizontally. It also enabled the company to focus on its core business – video streaming services. You all know that Netflix is the favorite video streaming platform globally.

In another example, delaying the decision of TCO analysis ignorance resulted in a loss. According to this report on 5GC, TCO analysis has been done regarding the adoption of the 5G core. It has been found that postponing increases the TCO over five years. It indicates the losses occurred due to ignorance of TCO analysis.

These examples show that your business needs both TCO analysis and cloud infrastructure. A lack of TCO analysis might cause incorrect IT budget calculations or purchasing of inappropriate resources. It might result in problems like downtime and slower business operations. You can understand that the TCO analysis is a critical business operation. Its ignorance directly impacts financial decisions. Thus, know this and utilize AWS TCO analysis for your business success.

How does AWS TCO Analysis work?

AWS TCO analysis refers to calculating the direct and indirect costs associated with migrating, hosting, running, and maintaining IT infrastructure on the AWS cloud. It assesses all the costs of using AWS resources and compares the outcome to the TCO of an alternative cloud or on-premises platform.

AWS TCO Analysis is not a calculation of one resource or a one-step process. To understand how it works, you need to know the costs of your current IT infrastructure, understand cost factors, and how to optimize cloud costs when you deploy and manage scalable web applications or infrastructure hosted on-premises versus when you deploy them on the cloud.

Here are steps to help you understand how AWS TCO analysis works:

Preliminary steps – Know the current value and build a strategy

Step 1 – Evaluate your existing infrastructure/ web application cost

You must calculate and analyze the direct and indirect costs of your existing on-premise IT infrastructure. Perform the TCO analysis of this infrastructure, including various components.

• Physical & virtual servers: They are the main pillars in developing the infrastructure
• Storage mediums: Cost of database, disks, or other storage devices
• Software & Applications: The analysis finds the cost of software and its constant upgrades. It also estimates the costs of acquiring licenses, subscriptions, loyalties, and vendor fees
• Data centers: The analysis needs to check the costs of all linked equipment such as physical space, power, cooking, and racks with the data centers
• Human Capital: Trainers, consultants, and people who run setups.
• Networking & Security system: Find out the costs of these critical components

Don’t limit yourself to estimating only direct/indirect costs. Find out any hidden costs that might happen due to unplanned events like downtime and opportunity costs, which might be helpful in the future.

Step 2 – Build an appropriate cloud migration strategy

You must choose an appropriate AWS cloud migration strategy before calculating monthly AWS costs. Amazon offers many TCO analysis migration tools, such as CloudChomp CC Analyzer, Cloudamize, Migration Evaluators, etc., from AWS and AWS partners. It can help you to evaluate the existing environment, determine workloads, and plan the AWS migration. It provides excellent insights regarding the costs, which can help you to make quick and effective decisions for migration to AWS.

Primary step – Estimate AWS Cost

Know these cost factors

All industries have different objectives and business operations. Thus, their cost analysis differs according to AWS services, workloads, servers, or methods of purchasing other AWS resources., the cost depends on the working usage of services and resources.

Still, you must consider the following factors directly impacting your AWS costs.

• Services you utilize: AWS offers various computing services, resources, and instances with hourly charges. It will bill you from when you launch any resource/instance until termination. You will get other options to use predetermined set costs for making reservations.
• Data Transfer: AWS charges for aggregated outbound data transfer across services according to a set rate. AWS does not charge for inbound or inter-service data transfer within a specific region. Still, you must check data transfer costs before launching.
• Storage: AWS charges for each GB of data storage. As per consumed storage classes, you need to understand the cost analysis. Remember that cold and hot storage options are available, but hot storage is expensive and accessible.
• Resource consumption model: You get options to consume resources. Such as on-demand instances, reserved instances that give discounted prepay options for on-demand instances, and AWS saving plans.

Know how to use AWS Pricing Calculator

Once you analyze your compute resources and infrastructure to deploy, understand these factors, and decide on necessary AWS resources, you need to use AWS Pricing Calculator for expected cost estimation. This tool helps determine the total ownership cost. It is a web service that is freely available to end-users. It permits you to explore services according to need and estimate costs.

Look at the below image to see how this calculator works. You have to add required services, configure them by providing details, and see the generated costs.

Credit: Amazon AWS Pricing Calculator

You can easily add the prices according to a group of services or individual services. After adding to the calculator, check the following snap-shot of the configuration service (EC2 service). You have to provide all required information such as location type, operating system, instance type, memory, pricing models, storage, and many more.

Credit: Amazon AWS Pricing Calculator

The best part is that you can download and share the results for further analysis. The following image is a dummy report to know that you can estimate the monthly cost, budget, and other factors with this summary.

Credit: Amazon AWS Pricing Calculator

Note: Check this link to know various factors for pricing assumptions.

Know how to optimize cloud costs on AWS

Calculation on AWS is not sufficient; you need to optimize your cost estimation. AWS offers various cost optimization options to manage, monitor, and optimize costs. Here are some tools you can utilize to optimize your costs on AWS:

Tool nameKey CharacteristicsAWS Trusted Advisor

• Get recommendations from this tool to follow the AWS best practices to improve performance, security, & fault tolerance
• Can help you to optimize your cloud deployment through context-driven recommendation

AWS Cost Explorer

• Provide you with an interface to check, visualize, and manage AWS costs and usages over time
• Features like filtering, grouping, and reporting can help you to manage costs efficiently

AWS Budgets

• Use this tool to track your costs and improve them for better budget planning and controlling
• You can also create custom actions that help prevent overages, inefficient resource usage, or lack of coverage

AWS Costs & Usages Report

• Leverage this tool to track your savings, costs, and cost drivers.
• You can easily integrate this report with an analytics report to get deep analysis
• It can help you to learn cost anomalies and trends in your bills

How Airbnb used AWS Cost & Usage Report for AWS cost optimization

A community marketplace, Airbnb, based in San Francisco founded in 2008. The community has over 7 million accommodations and over 40,000 customers. In 2016, Airbnb decided to migrate all operations to AWS to scale their infrastructure automatically. It worked, and in just 3 years, the company grew significantly and reduced its expenses through different AWS services (Amazon EC2, Amazon S3, Amazon EMR, etc). In 2021, the company utilized the tools, AWS cost & usage report, saving plans, and actional data to optimize their AWS costs. The outcome: 27% reduced storage costs; 60% reduced Amazon Open Search Service cost.

The company has developed a customized cost and usage data tool through AWS services. It is helping them to reduce costs and deliver actional business metrics.

Final Stage: Avoid these mistakes

Often, businesses make mistakes like misconfiguration, choosing the wrong resource, etc., leading to increased costs. Check the following points to avoid mistakes:

• Never create or set up cloud resources without using auto-scaling options or other monitoring tools. It happens during Dev/test environments mostly.
• Take care while configuring storage resources, classes, and data types. Often, misconfiguration happens during storage tiers usage, such as Simple Storage Service (S3).
• Avoid over-provisioned resources by properly consolidating them. You must know the concept of right-sizing to find the perfect match between instance types, sizes, and capacity requirements at a minimal cost.
• Choose a pricing plan carefully based on your infrastructure requirements. This mistake can cost you an expensive cloud deployment.
• Never ignore the newer technologies, as they can reduce your cloud spending and helps in increasing productivity in work.

Closing Thought

The report is proof to know that AWS helps businesses in cost savings up to 80% over the equivalent on-premises options. It lowers costs and allows companies to use savings for innovation. So, what are you waiting for, plan to migrate your on-premise IT infrastructure to the AWS cloud, calculate costs by following the steps, and optimize it by preventing typical mistakes?

Managing your IT infrastructure’s overall direct and indirect costs requires time and process. TCO analysis for a cloud migration project is a daunting job. But, AWS TCO analysis makes this complex process easy. Take advantage of this analysis and determine your cloud migration project cost.

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According to the Market Research Future report, the application modernization services market is expected to reach USD 24.8 billion by 2030, growing at a CAGR of 16.8%. Nobel technologies and improved applications are two driving factors of this growing market size. On one side, it is growing, and on another side, it is failing also. According to this report, unclear project expectations are the biggest reason behind its failure.

That’s why app modernization is a big decision for your organization and business expansion. To avoid failure, you must prepare a list of good questions before planning the app’s modernization. Read the full article to understand a brief of app modernization, its need cum benefits, and questions which could help in designing the best app modernization strategy.

What is App modernization?

App modernization replaces or updates existing software, applications, or IT infrastructure with new applications, platforms, or frameworks. It is like an application upgrade on a period to utilize the technology trends and innovation. The primary purpose of app modernization is to improve the current legacy systems’ efficiency, security, and performance. The process encompasses not only updating or replacing but also reengineering the entire infrastructure.

Need/Benefits of App modernization

Application modernization is growing across industries. It meant it became an essential business need. Here are points which are highlighting that why you need the app modernization for your business:

• To improve the business performance
• To scale the IT infrastructure to work globally
• To increase the security and protection of expensive IT assets
• To enhance the efficiency of business processes and operations
• To reduce the costs which happen due to the incompatibility of older systems with newer technologies

10 Questions need to consider before planning the app modernization

Before designing the add modernization strategy, you need a list of questions according to your business objective and services. Here are questions that might help you to make a proper plan for app modernization:

1. What is the age of your existing legacy business applications?

You have to understand your existing IT infrastructure and resources. How it is working and performing in the current environment. Are they creating problems or running smoothly? Are they causing downtime often? If they are too old, you need to replace everything; although if you upgrade them regularly, check which resource needs to modernize.

2. What are the organization’s current technical skills and resources?

You have to analyze the existing team and experts and understand whether they can adapt to the new infrastructure. You have to know their capabilities regarding learning new applications. In case you did modernization without analyzing your existing team’s capability, but after some time, you find that your experts are facing issues while working on the new IT environment. Thus, knowing the current technical skills and how you would train them for the transformation is good.

3. Would you be willing to conduct a Proof Of Concept (POV) to verify the platform’s functionality?

Are new system features able to solve the problems, and are they beneficial for business? You need to perform POV to check the new system’s functionality and find out how it works. POV can help you to examine the essential features and other characteristics of modernized apps.

4. Can the new system be easily modified to meet the business’s and customers’ changing needs?

Business needs and customer demands are not static. You know it, and it changes as soon as technological advancement or regulatory changes happen. It would be best if you found out that an application would be able to adopt the changes to fulfill your business requirements.

5. How have you surveyed the market and decided on the appropriate platform(s) to execute essential modernization?

You must research the market and list all vendors offering the services you seek for your application modernization. Analyze all factors before finalizing the best platform and services aligned with your objective.

6. How secure are the applications currently?

You have to find the security level of your legacy applications. Because modern apps need high levels and advanced security systems. Old security practices on modern apps might fail your project, so better to check the existing security.

7. Assess the opportunity costs and business risks associated with avoiding modernization?

If you avoid the app modernization, how many business opportunities might you lose, or how many risks might you face? If you escape them, you might face many losses. As discussed, modernization is a business priority in this futuristic technology era. So, be sure to understand its importance on time and execute it as soon as possible.

8. What type of modernization are you seeking?

You need to know the flexibility of your decision regarding app modernization. In simple words, which kind of modernization are you looking for in your business progress? Are you looking for a permanent or a system that could be altered in some years?

9. Did you consider the cloud when designing your application?

Running applications and managing the whole IT infrastructure on the cloud is a business priority. If your legacy applications are not compatible with the cloud, you must understand how you can make them cloud compatible. By doing this, you can easily migrate and modernize your applications to the cloud.

10. Determine what integrations are required to modernize the app?

With modernized applications, you must know the required integrations among hardware, software, or other IT assets. This answer will help you locate the best and ideal platform for your business process execution.

Forbes Councils Member Yasin Altaf has pointed out four factors – evaluate technical and business challenges, assess the current state of the legacy system, find out the right approach, and plan in his recent article. Besides being the leading voice in emerging enterprise technology, Infoworld has also revealed that time and proper tools are key drivers of the app modernization success in this report. In addition, giving time to develop and plan is the best way, according to 36% of IT leaders.

Thus, along with these questions, you must consider factors like time, budget, risk factors, and management constraints before planning the modern app.

Closing Thought

You research, ask questions from various resources, and analyze everything before purchasing anything!

Why?

To get the exemplary product/service!

It applies to app modernisation too. Your business needs modernized applications in the modern technology era. A questionnaire will help you plan an appropriate app modernization if you want the right service and execution. We hope the questions we have provided can help you find answers to all your questions. Interested in modernizing your legacy applications? Contact us. You can always count on our expert team for assistance.

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