Customers are increasingly finding the best way to access such high-performance computing (HPC) is through the agility, scale, security, and leading edge performance of Azure’s purpose-built HPC and AI cloud services.
Customers are increasingly finding the best way to access such high-performance computing (HPC) is through the agility, scale, security, and leading edge performance of Azure’s purpose-built HPC and AI cloud services.
In today’s environment, customers are looking to Azure and Kubernetes to enable application platforms and patterns that make it faster to build new applications and easier to iterate the applications that they’ve already built. Kubernetes on Azure is a reliable and secure foundation for this cloud-native application development. At the same time, the pressures of the current environment mean that it is also critical to be as efficient as possible and we are excited to see the ways that the Azure Kubernetes Service has empowered people to improve their operational and resource efficiency
Subsequent queries referencing the materialized views run much faster because they use the pre-computed results stored in Amazon Redshift, instead of accessing the external tables.
Tip #1: Precomputing results with Amazon Redshift materialized views Materialized views can significantly boost query performance for repeated and predictable analytical workloads such as dash-boarding, queries from BI tools, and extract, load, transform (ELT) data processing.
Today, we are announcing the general availability of AWS Gateway Load Balancer (GWLB) , a service that makes it easy and cost-effective to deploy, scale and manage the availability of third-party virtual appliances such as firewalls , intrusion detection and prevention systems , and deep packet inspection systems in the cloud.
GWLB uses Gateway Load Balancer Endpoint (GWLBe), a new type of VPC Endpoint powered by AWS PrivateLink , can be a next-hop in the route table.
With Amazon MQ, we have enhanced lots of new features by customer feedback to improve high scalability and availability such as vertical scaling and throughput-optimized message brokers with 99.9% Service Level Agreement (SLA) , to support LDAP Authentication and Authorization , and to build compliant applications such as HIPAA , ISO/PCI DSS , SOC , and FIPS 140-2 validated endpoints in US Commercial Regions.
Amazon MQ for RabbitMQ – Getting Started To create new RabbitMQ message brokers, you can click the Get started button in Amazon MQ console and select a broker engine, either ActiveMQ or RabbitMQ that offers native support for the AMQP 0.9.1 protocol with client libraries for a variety of platforms, including Ruby, Python, Node.js, .NET, and more.
The Amazon EC2 team has been providing our customers with GPU-equipped instances for nearly a decade. The first-generation Cluster GPU instances were launched in late 2010, followed by the G2 (2013), P2 (2016), P3 (2017), G3 (2017), P3dn (2018), and G4 (2019) instances.
The very flexibility that cloud provides means that enterprises must continuously make dynamic consumption decisions about which services and specifications are needed when and for how long.
The flexibility to consume cloud as needed and cost effectively places responsibility on enterprises to maintain a real-time view of their needs and continuously make deliberate decisions on how best to adjust consumption.
This new Azure Migrate PowerShell module that is currently in preview, provides a set of PowerShell cmdlets that lets you migrate VMware virtual machines to Azure using the agentless migration method of the server migration tool.
In addition to the PowerShell module, we are also releasing a set of sample scripts that use this PowerShell module to automate the migration of VMware virtual machines to Azure.
An SAP cloud migration can be an incredibly valuable IT investment, giving an enterprise a practical upgrade path away from on-premises SAP infrastructure to a
Event-driven architectures use events to share information between the components of one or more applications. Events tell us that “something has happened”, maybe you received
Container and cloud-native computing technology is a complete game changer for enterprise IT
For this post, we create two DBA tasks in the form of a stored procedure and views inside the Amazon Redshift cluster: Drop unused tables Clean up idle connections We then schedule the running of these tasks using EventBridge and Lambda.
For this solution, we use the following AWS services: AWS Lambda – To run a specified query and invoke views or stored procedures inside your Amazon Redshift cluster.
We’re happy to share general availability of the Edge Compute Node protection profile (NSCIB-CC-0112146-CR or simply ECN PP), a Common Criteria (ISO 15408) standard, which guides you to engineer, claim, evaluate, and consume security for IoT devices.
Edge Compute Node protection profile (ECN PP)—now available—guides you to engineer, claim, evaluate, and consume device security for IoT.
Weka has developed reference architectures (RAs) with leading object storage technology alliances, like Amazon Web Services (AWS), Cloudian, IBM, Seagate, Quantum, Scality , and others in Weka’s Technology Alliance Program, to deliver cost-efficient, cloud-native data storage solutions at any scale.
WekaFS provides the ease of managing petabytes of data in a single, unified namespace wherever in the pipeline the data is stored, while also delivering the best performance to accelerate artificial intelligence/machine learning (AI/ML), genomics research, high-performance computing (HPC), and high-performance data analytics (HPDA) workflows