AWS Storage Gateway now supports IBM Spectrum Protect 8.1.10 on Tape Gateway , enabling you to backup and archive data from IBM Spectrum Protect to AWS without changing your backup workflows. With this announcement, Tape Gateway supports IBM Spectrum Protect 8.1.10 running on Red Hat Enterprise Linux (RHEL) version 7.6 or later, or SUSE Linux Enterprise Server (SLES) version 12, Service Pack 2 or later, and Microsoft Windows Server 2012 R2 or Microsoft Windows Server 2016.
Amazon RDS for Oracle now supports October 2020 Oracle Patch Set Updates (PSU) and Release Updates (RU), and allows setting database system events
Amazon RDS for Oracle now supports the October 2020 Patch Set Updates (PSU) for Oracle Database 12.1, and the October 2020 Release Update (RU) for Oracle Database 12.2, 18c, and 19c. October 2020 PSU for Oracle Database 11.2 will be launched soon.
Amazon Elasticsearch Service announces support for Elasticsearch version 7.9
Amazon Elasticsearch Service now supports open source Elasticsearch 7.9 and its corresponding version of Kibana. This minor release includes bug fixes and enhancements.
AWS Secrets Manager now supports 5000 requests per second for the GetSecretValue API operation
AWS Secrets Manager now supports higher request rates for the GetSecretValue API operation of up to 5000 requests per second. This increased API limit will be applied to your accounts automatically. No further action required on your end.
Amazon Elasticsearch Service announces support for Remote Reindex
Amazon Elasticsearch Service now offers support for Remote Reindex, enabling you to migrate data from a remote cluster into Amazon Elasticsearch Service. With this feature, you can simply copy data from one cluster to another, making it easier to migrate from legacy versions of Elasticsearch. Remote Reindex also supports migrating indexes from self-managed Elasticsearch onto Amazon Elasticsearch Service, providing a simple mechanism to onboard onto the service.
Amazon Elasticsearch Service now supports anomaly detection for high cardinality datasets
Amazon Elasticsearch Service now offers anomaly detection for high cardinality datasets. This new feature enables you to sift through thousands of metrics from millions of events to accurately pinpoint individual entities with abnormal patterns. By leveraging machine learning, Amazon Elasticsearch Service now provides reliable and actionable insights to drastically reduce the time to isolate and remediate issues. High cardinality anomaly detection can be invaluable for a number of operational, security and business use cases like identifying hosts with high CPU and memory consumption, finding services with most error rates, isolating suspicious users or IP addresses accessing sensitive information, or detecting outliers in sales by region.
Amazon Elasticsearch Service introduces Piped Processing Language (PPL)
Amazon Elasticsearch Service now supports Piped Processing Language (PPL), a new feature that enables users to explore, discover and find data stored in Amazon ES, using a set of commands delimited by pipes (|). PPL extends Elasticsearch to support a standard set of commands that is easy for system developers, DevOps engineers, support engineers, site reliability engineers (SREs), and IT managers who are proficient with Linux or Unix to learn. PPL enables these users to begin extracting insights from their log, monitoring and observability data on day one.
Amazon Braket now supports manual qubit allocation
Customers can now explicitly specify which qubits are going to be used when they use Amazon Braket to run a quantum circuit on quantum computers from Rigetti. This allows researchers and advanced users to optimize their circuit design based on the latest device calibration data to get more accurate results.
AWS announces the launch of Amazon Comprehend Events
AWS now offers Amazon Comprehend Events, which extracts real world events and the associated arguments from text documents. For example, consider a news article that announces that Amazon acquired WholeFoods Market. Comprehend Events will identify the event as an ‘acquisition’ and detect the acquirer (Amazon), acquiree (WholeFoods Market), the deal amount and the date and time of the deal. Customers can use Comprehend Events to understand relationships from natural language text documents between entities such as organizations, people, and dates to build applications such as analytics on financial data and knowledge graphs.
Amazon ECS Cluster Auto Scaling now offers more responsive scaling
Amazon Elastic Container Service (Amazon ECS) Cluster Auto Scaling (CAS) now offers more responsive scaling when using EC2 Auto Scaling groups (ASGs) that span across Availability Zones (AZs) and instance types.