9 Amazon Web Services innovations to watch in 2023
Amazon Web Services (AWS) is at the forefront of the ongoing innovation of the cloud. According to a Statista analysis, AWS controls over 33% of the market for cloud application development services vendors, including Machine Learning and DevSecOps. It is becoming more and more popular. And organizations are eager to use it as their preferred cloud platform. Businesses are utilizing AWS’s extensive offering of safe and dependable services. Which results in helping to cut expenses associated with IT, foster collaboration, and increase business agility.
AWS has a large range of advantages. But new developments and features are constantly being made that can further enhance the user experience. We will cover nine developments in AWS in 2023 in this blog post:
1. Cloud Security
Security is a factor that is becoming more and more crucial as businesses progressively switch to the cloud. AWS offers more compliance certifications and security standards than any other cloud platform available. And the thanks goes to Amazon’s ongoing efforts to increase the security of its platform.
The Amazon Security Lake, was unveiled on November 29, 2022. is one development in cloud security to watch for in AWS in 2023. A purpose-built security data lake that is kept in a user’s account can be created using the solution to automatically combine security data from specific sources, both on-premises and in the cloud. Users may easily evaluate security data once it is enabled, giving them a positive image of their security throughout the entire enterprise.
We may anticipate even more advancements from AWS in the field of cloud security in the future.
2. Web3 – Blockchain
The cloud application development services sector is experiencing exponential economic experimentation, and blockchain is one of the trendiest subjects in technology right now. Crypto networks are a cutting-edge method of balancing national and international investments, and AWS is already in the lead with its managed Blockchain solution.
Web3 Labs, a complete Web3 section under the umbrella of Amazon, “provides the insights platform and developer tools to support your Blockchain journey,” in the company’s own words. Beginning in 2023, Web3 will gain popularity, which will accelerate the transition away from the centralised dominating powerhouses of the webspace.
3. Performance
Performance efficiency is more crucial than ever as businesses depend on the cloud more and more for mission-critical applications. Performance efficiency is basically the capacity of an organization’s task to swiftly and effectively adapt to changes in users’ expectations.
A number of agent performance evaluation tools were made available by Amazon Connect on November 29, 2022, enabling contact centre administrators to create assessment forms with criteria.
AWS is continually working to enhance the performance of its services, so in the future, we may anticipate even greater advancements in this area.
4. DevSecOps Improvements
Security testing is included into the software development process at each level using a process called DevSecOps. A critical component of the app delivery pipeline, security is made a priority with appropriate DevSecOps integration, allowing app developers to receive timely and pertinent feedback while designing and developing their apps. AWS has introduced various capabilities, such as AWS Identity and Access Management (IAM) Roles for Amazon EC2, AWS CloudFormation StackSets, and AWS Config Rules, to assist users in implementing DevSecOps. The new DevSecOps category for the AWS DevOps Competency has made it simple to locate verified AWS Partners providing DevSecOps solutions.
5. Artificial Intelligence (AI) and Machine Learning (ML)
Artificial intelligence (AI) and machine learning are two other fields in which AWS has made significant investments in recent years (ML). Companies are utilising these technologies in a wide range of ways, from enhancing the precision of search results to offering more individualised recommendations.
Amazon Personalize, a service that enables developers to quickly make tailored recommendations for their consumers, is one of the most important recent contributions in this area. It generates recommendations for a user based on learning about their likes and behaviour using ML algorithms.
In its Amazon Lex service, which enables programmers to create conversational bots, AWS also uses AI and ML. Natural language processing (NLP) is used by Amazon Lex to comprehend client inquiries and then provide appropriate answers.
These technologies are also being used by AWS to increase the precision of its search results. Additionally, the OpenSearch Service now employs ML to deliver more accurate and pertinent search results.
Amazon Web Services, Inc. (AWS), a provider of end-to-end machine learning (ML) services, unveiled eight new features for Amazon SageMaker on November 30, 2022, at the AWS re:Invent executive meeting in Las Vegas. The following are some of the new capabilities:
- Role Manager: simplifies the procedures for creating permissions and restricting access for better ML governance by administrators.
- SageMaker Model Cards: simplifies the model data documentation and review procedures across the entire ML lifetime.
- Model Dashboard: provides a single interface for tracking models, reviewing historical trends, and evaluating performance.
- Amazon SageMaker Studio Notebooks: This new data preparation feature gives users the opportunity to quickly and visually inspect and resolve data-quality problems. Additionally, it enables real-time collaboration among data science teams.
- Support for geospatial data: Customers may more quickly create ML models for climate science, urban planning, and catastrophe response.
- Customers may now immediately transform the notebook into jobs that are ready for production.
- Customers can now test new models using real-time inference queries thanks to automated model validation. The new Amazon SageMaker features, according to Bratin Saha, vice president of AI and ML at AWS, will make it even simpler for teams to expedite the end-to-end development and deployment of ML models.
6. Aurora Zero-ETL Integration with Amazon Redshift
This is yet another significant development that was unveiled at the AWS reimagine CEO event in 2022. It allows for almost immediate analytics. Now, it just takes a few seconds after putting transactional data into Aurora for Amazon Redshift to get the data. Users can now use analytics and other features of Amazon Redshift to get knowledge from transactional and other data.
7. Amazon OpenSearch Serverless- You can execute your apps using the serverless computing concept of cloud computing without setting up or managing any servers. Users are able to manage all the services they would require to create and run an application on the AWS system through the architecture of AWS Serverless Computing. The latest release of Amazon OpenSearch Serverless by Amazon Web Services, Inc. (AWS) makes it simpler to execute petabyte-scale search and analytics workloads without the need to configure, manage, or scale OpenSearch clusters. Users will only be required to pay for the resources they utilise thanks to this development. Amazon MSK Serverless, Amazon EMR Serverless, and Amazon Redshift Serverless are more serverless services that the company has recently launched.
8. AWS Data Zone
AWS Data Zone was unveiled by Amazon Web Services Inc. (AWS) at the 2022 AWS re:Invent executives meeting. This data management solution streamlines and expedites a number of customer operations, including categorising, sharing, and managing on-premises data across AWS and outside sources.
The new data management solution not only streamlines procedures for users, but also makes it simple for data stewards and administrators to control and regulate access to data. In order to use and cooperate with data to gain insights, it also makes it simple for analysts, product managers, engineers, and data scientists to access data throughout the entire organization.
9. AWS Supply Chain
At the 2022 AWS reinvent conference, Amazon Web Services Inc. (AWS) unveiled another innovation. AWS Supply Chain is a brand-new cloud service that improves supply chain visibility and offers users useful insights to lower costs and minimize risks. Users may integrate their supply chain data from EDI, SAP, and other sources with only a few clicks.
According to Diego Pantoja-Navajas, vice president of AWS Supply Chain, the business will keep investing in AWS Supply Chain to help clients resolve their most challenging supply chain problems.