AWS prescriptive-guidance documentation change
Summary
Updated image path, fixed punctuation/spacing in Lambda section, hyphenated 'Key-value', reformatted AWS storage service links, and clarified a heading.
Security assessment
Changes are cosmetic and grammatical: image path update, punctuation/spacing fixes, hyphenation correction, and link formatting. No security vulnerabilities, features, or implications are mentioned or addressed.
Diff
diff --git a/prescriptive-guidance/latest/mes-on-aws/technologies.md b/prescriptive-guidance/latest/mes-on-aws/technologies.md index af24d0c38..fe29e50e4 100644 --- a//prescriptive-guidance/latest/mes-on-aws/technologies.md +++ b//prescriptive-guidance/latest/mes-on-aws/technologies.md @@ -13 +13 @@ After you decompose MES into microservices and prioritize development based on t - + @@ -33 +33 @@ When containers can meet the computing requirements of a microservice, you can u -A microservice-based architecture includes tasks that are initiated based on events, such as processing data from ERP and PLM and generating an alert for the maintenance manager or supervisor to dispatch a mechanic to the field. [AWS Lambda](https://aws.amazon.com/lambda/) can be a good choice for such cases, because it is an event-driven, serverless computing service that runs application tasks on demand. Lambda doesn't require administration or management of runtimes and servers. To create a Lambda function, you can write your code in one of the languages it supports, such as NodeJS, Go, Java, or Python. For more information about supported languages, see [Lambda runtimes](https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html) in the Lambda documentation. +A microservice-based architecture includes tasks that are initiated based on events, such as processing data from ERP and PLM and generating an alert for the maintenance manager or supervisor to dispatch a mechanic to the field. [AWS Lambda](https://aws.amazon.com/lambda/) can be a good choice for such cases, because it is an event-driven, serverless computing service that runs application tasks on demand. Lambda doesn't require administration or management of runtimes and servers. To create a Lambda function, you can write your code in one of the languages it supports, such as NodeJS, Go, Java, or Python. . For more information about supported languages, see [Lambda runtimes](https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html) in the Lambda documentation. @@ -43 +43 @@ Some MES microservices must maintain data integrity; atomicity, consistency, iso -### Key value, NoSQL databases +### Key-value, NoSQL databases @@ -53 +53 @@ Machines and sensors generate a high volume of data in manufacturing to measure -MES deals with many unstructured data formats, such as engineering drawings, machine specifications, work instructions, images of products and the shop floor, training videos, audio files, database backup files, data in hierarchical folders and file structures, and so on. Traditionally, businesses stored these types of data in MES application layers. Cloud storage solutions provide industry-leading scalability, data availability, security, and performance. The significant benefits of cloud storage are virtually unlimited scalability, improved resilience and availability of data, and lower storage costs. Businesses can also better use MES data by using cloud storage services to power industrial data lakes, analytics, and machine learning applications. AWS offers storage services such as [Amazon Simple Storage Service (Amazon S3)](https://aws.amazon.com/s3/), [Amazon Elastic Block Store (Amazon EBS)](https://aws.amazon.com/ebs/), [Amazon Elastic File System (Amazon EFS)](https://aws.amazon.com/efs/), and [Amazon FSx](https://aws.amazon.com/fsx/). Choosing the right storage option for microservices depends on your requirements for latency and speed, operating system, scalability, cost, usage, and data type. From an architecture standpoint, you can also choose multiple options for the same microservice. +MES deals with many unstructured data formats, such as engineering drawings, machine specifications, work instructions, images of products and the shop floor, training videos, audio files, database backup files, data in hierarchical folders and file structures, and so on. Traditionally, businesses stored these types of data in MES application layers. Cloud storage solutions provide industry-leading scalability, data availability, security, and performance. The significant benefits of cloud storage are virtually unlimited scalability, improved resilience and availability of data, and lower storage costs. Businesses can also better use MES data by using cloud storage services to power industrial data lakes, analytics, and machine learning applications. AWS offers storage services such as[ Amazon Simple Storage Service (Amazon S3),](https://aws.amazon.com/s3/)[ Amazon Elastic Block Store (Amazon EBS)](https://aws.amazon.com/ebs/),[ Amazon Elastic File System (Amazon EFS)](https://aws.amazon.com/efs/), and[ Amazon FSx](https://aws.amazon.com/fsx/). Choosing the right storage option for microservices depends on your requirements for latency and speed, operating system, scalability, cost, usage, and data type. From an architecture standpoint, you can also choose multiple options for the same microservice. @@ -74 +74 @@ Decomposing MES into microservices -Determining the integration approach for microservices +Determining the integration approach for microservices in MES