All Versions
1563
Latest Version
Avg Release Cycle
1 days
Latest Release
120 days ago

Changelog History
Page 93

  • v3.81.3 Changes

    December 11, 2018
    • ⚡️ Aws\Connect - This update adds the GetContactAttributes operation to retrieve the attributes associated with a contact.
    • 📚 Aws\ECS - Documentation updates for Amazon ECS.
    • 🚀 Aws\MediaStore - This release adds Delete Object Lifecycling to AWS MediaStore Containers.

  • v3.81.2 Changes

    December 07, 2018
    • ⏱ Aws\AlexaForBusiness - Alexa for Business now allows IT administrators to create ad-hoc or scheduled usage reports, which help customers understand how Alexa is used in their workplace. To learn how to create usage reports, see https://docs.aws.amazon.com/a4b/latest/ag/creating-reports.html
    • Aws\EC2 - You can now launch the larger-sized P3dn.24xlarge instance that features NVIDIA Tesla V100s with double the GPU memory, 100Gbps networking and local NVMe storage.
    • Aws\IAM - We are making it easier for you to manage your AWS Identity and Access Management (IAM) policy permissions by enabling you to retrieve the last timestamp when an IAM entity (e.g., user, role, or a group) accessed an AWS service. This feature also allows you to audit service access for your entities.
    • 📚 Aws\ServiceCatalog - Documentation updates for servicecatalog.

  • v3.81.1 Changes

    December 06, 2018
    • 👍 Aws\CodeBuild - Support personal access tokens for GitHub source and app passwords for Bitbucket source
    • 🚀 Aws\ElasticLoadBalancingv2 - This release allows Application Load Balancers to route traffic to Lambda functions, in addition to instances and IP addresses.
    • 🚀 Aws\MediaLive - This release enables the AWS Elemental MediaConnect input type in AWS Elemental MediaLive. This can then be used to automatically create and manage AWS Elemental MediaConnect Flow Outputs when you create a channel using those inputs.
    • 📚 Aws\RDS - Documentation updates for Amazon RDS

  • v3.81.0 Changes

    December 05, 2018
    • 👍 Aws\CostExplorer - Add normalized unit support for both GetReservationUtilization and GetReservationCoverage API.
    • 🔨 Aws\Functions - This update refactors an unnecessary error suppression operator used in a global function.
    • 🚀 Aws\MQ - This release adds support for cost allocation tagging. You can now create, delete, and list tags for AmazonMQ resources. For more information about tagging, see AWS Tagging Strategies.
    • Aws\MediaTailor - AWS Elemental MediaTailor SDK now includes a new parameter to control the Location tag of DASH manifests.

  • v3.80.3 Changes

    December 04, 2018
    • Aws\Health - AWS Health API DescribeAffectedEntities operation now includes a field that returns the URL of the affected entity.
    • Aws\S3 - S3 Inventory reports can now be generated in Parquet format by setting the Destination Format to be 'Parquet'.
    • ✅ Aws\Test - Use dedicated PHPUnit assertions for better error messages.
    • Aws\Waiter - Simplify foreach with in_array function.

  • v3.80.2 Changes

    December 03, 2018
    • ⏱ Aws\DeviceFarm - Customers can now schedule runs without a need to create a Device Pool. They also get realtime information on public device availability.
    • 📚 Aws\MediaConvert - Documentation updates for mediaconvert
    • 📚 Aws\ServiceCatalog - Documentation updates for servicecatalog
    • 🚀 Aws\StorageGateway - API list-local-disks returns a list of the gateway's local disks. This release adds a field DiskAttributeList to these disks.

  • v3.80.1 Changes

    November 30, 2018
    • 🛠 Aws\S3 - Fixed issue with Content-MD5 for S3 PutObjectLegalHold, PutObjectRetention and PutObjectLockConfiguration.
    • Aws\S3 - Add MD5 header to PutObjectLegalHold, PutObjectRetention, and PutObjectLockConfiguration.

  • v3.80.0 Changes

    November 29, 2018
    • 👍 Aws\CloudWatchEvents - Support for Managed Rules (rules that are created and maintained by the AWS services in your account) is added.
    • 🚀 Aws\ElasticLoadBalancingv2 - This release allows Application Load Balancers to route traffic to Lambda functions, in addition to instances and IP addresses.
    • 🚀 Aws\Kafka - This is the initial SDK release for Amazon Managed Streaming for Kafka (Amazon MSK). Amazon MSK is a service that you can use to easily build, monitor, and manage Apache Kafka clusters in the cloud.
    • 💎 Aws\Lambda - AWS Lambda now supports Lambda Layers and Ruby as a runtime. Lambda Layers are a new type of artifact that contains arbitrary code and data, and may be referenced by zero, one, or more functions at the same time. You can also now develop your AWS Lambda function code using the Ruby programming language.
    • 🛠 Aws\S3 - Fixed issue with ObjectLockRetainUntilDate in S3 PutObject
    • 👀 Aws\SFN - AWS Step Functions is now integrated with eight additional AWS services: Amazon ECS, AWS Fargate, Amazon DynamoDB, Amazon SNS, Amazon SQS, AWS Batch, AWS Glue, and Amazon SageMaker. To learn more, please see https://docs.aws.amazon.com/step-functions/index.html
    • 🚀 Aws\ServerlessApplicationRepository - AWS Serverless Application Repository now supports nested applications. You can nest individual applications as components of a larger application to make it easy to assemble and deploy new serverless architectures.
    • Aws\XRay - GetTraceSummaries - Now provides additional information regarding your application traces such as Availability Zone, Instance ID, Resource ARN details, Revision, Entry Point, Root Cause Exceptions and Root Causes for Fault, Error and Response Time.

  • v3.79.0 Changes

    November 29, 2018
    • Aws\AppMesh - AWS App Mesh is a service mesh that makes it easy to monitor and control communications between microservices of an application. AWS App Mesh APIs are available for preview in eu-west-1, us-east-1, us-east-2, and us-west-2 regions.
    • ⚡️ Aws\EC2 - Adds the following updates: 1. You can now hibernate and resume Amazon-EBS backed instances using the StopInstances and StartInstances APIs. For more information about using this feature and supported instance types and operating systems, visit the user guide. 2. Amazon Elastic Inference accelerators are resources that you can attach to current generation EC2 instances to accelerate your deep learning inference workloads. With Amazon Elastic Inference, you can configure the right amount of inference acceleration to your deep learning application without being constrained by fixed hardware configurations and limited GPU selection. 3. AWS License Manager makes it easier to manage licenses in AWS and on premises when customers run applications using existing licenses from a variety of software vendors including Microsoft, SAP, Oracle, and IBM.
    • Aws\LicenseManager - AWS License Manager makes it easier to manage licenses in AWS and on premises when customers run applications using existing licenses from a variety of software vendors including Microsoft, SAP, Oracle, and IBM. AWS License Manager automatically tracks and controls license usage once administrators have created and enforced rules that emulate the terms of their licensing agreements. The capabilities of AWS License Manager are available through SDK and Tools, besides the management console and CLI.
    • ⚡️ Aws\Lightsail - This update adds the following features: 1. Copy instance and disk snapshots within the same AWS Region or from one region to another in Amazon Lightsail. 2. Export Lightsail instance and disk snapshots to Amazon Elastic Compute Cloud (Amazon EC2). 3. Create an Amazon EC2 instance from an exported Lightsail instance snapshot using AWS CloudFormation stacks. 4. Apply tags to filter your Lightsail resources, or organize your costs, or control access.
    • 🔒 Aws\SageMaker - Amazon SageMaker now has Algorithm and Model Package entities that can be used to create Training Jobs, Hyperparameter Tuning Jobs and hosted Models. Subscribed Marketplace products can be used on SageMaker to create Training Jobs, Hyperparameter Tuning Jobs and Models. Notebook Instances and Endpoints can leverage Elastic Inference accelerator types for on-demand GPU computing. Model optimizations can be performed with Compilation Jobs. Labeling Jobs can be created and supported by a Workforce. Models can now contain up to 5 containers allowing for inference pipelines within Endpoints. Code Repositories (such as Git) can be linked with SageMaker and loaded into Notebook Instances. Network isolation is now possible on Models, Training Jobs, and Hyperparameter Tuning Jobs, which restricts inbound/outbound network calls for the container. However, containers can talk to their peers in distributed training mode within the same security group. A Public Beta Search API was added that currently supports Training Jobs.
    • 🌐 Aws\ServiceDiscovery - AWS Cloud Map lets you define friendly names for your cloud resources so that your applications can quickly and dynamically discover them. When a resource becomes available (for example, an Amazon EC2 instance running a web server), you can register a Cloud Map service instance. Then your application can discover service instances by submitting DNS queries or API calls.

  • v3.78.0 Changes

    November 28, 2018
    • 🐎 Aws\DynamoDB - Amazon DynamoDB now supports the following features: DynamoDB on-demand and transactions. DynamoDB on-demand is a flexible new billing option for DynamoDB capable of serving thousands of requests per second without capacity planning. DynamoDB on-demand offers simple pay-per-request pricing for read and write requests so that you only pay for what you use, making it easy to balance costs and performance. Transactions simplify the developer experience of making coordinated, all-or-nothing changes to multiple items both within and across tables. The new transactional APIs provide atomicity, consistency, isolation, and durability (ACID) in DynamoDB, helping developers support sophisticated workflows and business logic that requires adding, updating, or deleting multiple items using native, server-side transactions. For more information, see the Amazon DynamoDB Developer Guide.
    • ⚡️ Aws\FSx - Amazon FSx provides fully-managed third-party file systems optimized for a variety of enterprise and compute-intensive workloads.
    • 🚀 Aws\RDS - Amazon Aurora Global Database. This release introduces support for Global Database, a feature that allows a single Amazon Aurora database to span multiple AWS regions. Customers can use the feature to replicate data with no impact on database performance, enable fast local reads with low latency in each region, and improve disaster recovery from region-wide outages. You can create, modify and describe an Aurora Global Database, as well as add or remove regions from your Global Database.
    • 👍 Aws\RetryMiddleware - Adds support for custom retryable status and error codes.
    • 🔒 Aws\SecurityHub - AWS Security Hub is a security and compliance center that correlates AWS security findings and performs automated compliance checks