AWS Notes

Issue #48 | 28 Nov - 04 Dec, re:Invent 2022 | Part #1 ▪️ AI Service Cards a new resource for responsible AI ▪️ Amazon Braket Algorithm Library access pre-built quantum algorithms ▪️ Amazon Verified Permissions permissions management and authorization service | Preview ▪️ AppConfig Agent easier feature flags and runtime configuration ▪️ AppFlow now supports over 50 Connectors ▪️ Application Composer visually design and build serverless applications | Preview ▪️ Application Migration Service application-centric migrations, wave planning, and more ▪️ Athena Spark support ▪️ Aurora zero-ETL integration with Redshift ▪️ AWS Marketplace streamline vendor risk assessments with Vendor Insights ▪️ Backup      ▫️ application-aware data protection for apps defined with CloudFormation      ▫️ centralized reporting      ▫️ delegation of organization-wide backup administration      ▫️ legal hold capability for extended data retention      ▫️ Redshift support ▪️ CloudTrail Lake AWS Config configuration items ▪️ CloudWatch      ▫️ cross-account observability      ▫️ Internet Monitor Preview ▪️ CloudWatch Logs detect and protect sensitive data-in-transit ▪️ CodeCatalyst new service | Preview ▪️ CodeWhisperer Enterprise administrative controls, simple sign-up, C#/Typescript ▪️ Comprehend      ▫️ classification and entity extraction directly from a variety of document formats      ▫️ semi-structured document processing ▪️ Compute Optimizer external metrics from observability partners ▪️ Config proactive compliance ▪️ Connect Contact Lens      ▫️ agent performance evaluation forms | Preview      ▫️ conversational analytics for chat ▪️ Connect      ▫️ forecasting, capacity planning, and scheduling | GA      ▫️ step-by-step guides in agent workspace | Preview ▪️ Control Tower      ▫️ account customization      ▫️ comprehensive controls management | Preview ▪️ Data Exchange      ▫️ for Amazon S3 | Preview      ▫️ for AWS Lake Formation | Preview ▪️ DMS Schema Conversion ▪️ DocumentDB Elastic Clusters | GA ▪️ EC2      ▫️ C6in instances      ▫️ C7gn instances      ▫️ Hpc6id instances      ▫️ Inf2 instances | Preview      ▫️ R7iz instances      ▫️ Elastic Network Adapter (ENA) Express      ▫️ M6in, M6idn, R6in, and R6idn network optimized instances      ▫️ Microsoft Office AMIs      ▫️ Spot Ready Software Products      ▫️ Torn Write Prevention for I4i instances, EBS, and RDS

Top Announcements of AWS re:Invent 2022: https://aws.amazon.com/blogs/aws/top-announcements-of-aws-reinvent-2022/ #reinvent

Доктор Вернер вдохновляет, как всегда! Очень рекомендую посмотреть, много интересных технологий вышло, и все разные, на любой вкус, как говорится! https://www.youtube.com/watch?v=RfvL_423a-I

kubectl scale --replicas=100

#пятничное

AWS re:Invent 2022 обзор анонсов часть 3: https://www.youtube.com/watch?v=pNL_uvH_BFU Присоединяйтесь к нам прямо сейчас! #reinvent

Amazon CodeCatalyst: https://codecatalyst.aws/explore Free Tier: ✅ 2000 Build Minutes ✅ 60 Dev Environment Hours ✅ 10 GB Source Storage ✅ 64 GB Dev Environment Storage

​​🆕 Amazon CodeCatalyst: https://aws.amazon.com/blogs/aws/announcing-amazon-codecatalyst-preview-a-unified-software-development-service/ Features in CodeCatalyst to address these challenges include: ▫️ Blueprints that set up the project’s resources—not just scaffolding for new projects, but also the resources needed to support software delivery and deployment. ▫️ On-demand cloud-based Dev Environments, to make it easy to replicate consistent development environments for you or your teams. ▫️ Issue management, enabling tracing of changes across commits, pull requests, and deployments. ▫️ Automated build and release (CI/CD) pipelines using flexible, managed build infrastructure. ▫️ Dashboards to surface a feed of project activities such as commits, pull requests, and test reporting. ▫️ The ability to invite others to collaborate on a project with just an email. ▫️ Unified search, making it easy to find what you’re looking for across users, issues, code and other project resources. #CodeCatalyst

​​🆕 Step Functions Distributed Map: https://aws.amazon.com/blogs/aws/step-functions-distributed-map-a-serverless-solution-for-large-scale-parallel-data-processing/ Step Function’s map state executes the same processing steps for multiple entries in a dataset. The existing map state is limited to 40 parallel iterations at a time. Glue vs EMR vs S3 Batch Operations ◆ Data scientists and data engineers use Glue and EMR to process large amounts of data. ◆ On the other hand, application developers will use Step Functions to add serverless data processing into their applications. Step Functions is able to scale from zero quickly, which makes it a good fit for interactive workloads where customers may be waiting for the results. ◆ System administrators and IT operation teams are likely to use S3 Batch Operations for single-step IT automation operations such as copying, tagging, or changing permissions on billions of S3 objects. #Step_Functions #serverless

🆕 Amazon EventBridge Pipes: https://aws.amazon.com/blogs/aws/new-create-point-to-point-integrations-between-event-producers-and-consumers-with-amazon-eventbridge-pipes/ EventBridge Pipes supports the following services as event sources: ✺ DynamoDB ✺ Kinesis ✺ Kafka/MSK ✺ SQS ✺ MQ #EventBridge_Pipes

🆕 AWS Application Composer 🔥

AWS re:Invent 2022 обзор анонсов часть 2 https://www.youtube.com/watch?v=cbxNxHIkd8M Присоединяйтесь к нам прямо сейчас! #reinvent

🆕 New features of Amazon SageMaker: ✺ AutoML step in SageMaker Model Building Pipelines ✺ Collaboration with shared spaces ✺ Data Wrangler data preparation widget ✺ Inference shadow tests ✺ Notebook-based Workflows ✺ SageMaker Model Cards ✺ SageMaker Model Dashboard ✺ SageMaker Role Manager ✺ SageMaker geospatial capabilities ✺ Studio Git extension #SageMaker #reinvent2022

🆕 New features of Amazon SageMaker: ✺ AutoML step in SageMaker Model Building Pipelines ✺ Collaboration with shared spaces ✺ Data Wrangler data preparation widget ✺ Inference shadow tests ✺ Notebook-based Workflows ✺ SageMaker Model Cards ✺ SageMaker Model Dashboard ✺ SageMaker Role Manager ✺ SageMaker geospatial capabilities ✺ Studio Git extension #SageMaker #reinvent2022

​​AWS re:Invent 2022 обзор анонсов часть 1: https://www.youtube.com/watch?v=dZyDPAZZ_CY 4:25 Новые Local Zones 8:20 OpenSearch Serverless 11:30 SimSpace Weave 21:57 DataZone 26:52 Security Lake 30:01 Clean Rooms 36:25 Nitro v5 44:17 EC2 C7gn 50:12 EC2 HPC6id 54:43 Lambda SnapStart 58:00 CloudWatch Internet Monitor 1:02:20 Verified Access 1:04:05 ECS Service Connect 1:06:05 Amazon Omics #reinvent

Присоейдиняйтесь прямо сейчас! https://www.youtube.com/watch?v=dZyDPAZZ_CY #reinvent

🆕 Amazon Security Lake: https://aws.amazon.com/blogs/aws/preview-amazon-security-lake-a-purpose-built-customer-owned-data-lake-service/ Security Lake automatically collects logs for: √ AWS Health Dashboard √ CloudTrail √ Firewall Manager √ GuardDuty √ IAM Access Analyzer √ Inspector √ Lambda √ Macie √ Route 53 √ S3 √ Security Hub √ Systems Manager Patch Manager √ VPC Security Lake automatically partitions and converts incoming log data to a storage and query-efficient Apache Parquet and OCSF format. Security Lake supports third-party sources providing OCSF security data, including Barracuda Networks, Cisco, Cribl, CrowdStrike, CyberArk, Lacework, Laminar, Netscout, Netskope, Okta, Orca, Palo Alto Networks, Ping Identity, SecurityScorecard, Tanium, The Falco Project, Trend Micro, Vectra AI, VMware, Wiz, and Zscaler. #Security_Lake