Dịch "workloads to elasticache" sang Người Indonesia

EN Fully Managed Redis Getting Started with Amazon ElastiCache More Amazon ElastiCache for Redis Customers Amazon ElastiCache Blog Take the free Introduction to Amazon ElastiCache course

• Fully Managed Redis
• Started with Amazon
• Customers Amazon ElastiCache
• Take the free
• Amazon ElastiCache course

EN Fully Managed Redis Getting Started with Amazon ElastiCache More Amazon ElastiCache for Redis Customers Amazon ElastiCache Blog Take the free Introduction to Amazon ElastiCache course

• Fully Managed Redis
• Started with Amazon
• Customers Amazon ElastiCache
• Take the free
• Amazon ElastiCache course

EN optimize data-intensive workloads requiring high random I/O access such as relational databases and workloads that require end to end security.

• optimize data-intensive workloads
• high random I
• relational databases
• workloads that require
• end

EN Parallel Query is a good fit for analytical workloads requiring fresh data and good query performance, even on large tables. Workloads of this type are often operational in nature.

• workloads requiring fresh
• good query performance
• even on large

EN You can migrate your self-managed Redis workloads to ElastiCache for Redis without any code change

• migrate your self-managed
• workloads to ElastiCache
• change

EN You can migrate your self-managed Redis workloads to ElastiCache for Redis without any code change

• migrate your self-managed
• workloads to ElastiCache
• change

EN ElastiCache continuously monitors your clusters to keep your workloads up and running so that you can focus on higher value application development

• ElastiCache continuously monitors
• clusters to keep
• focus on higher
• application development

EN Starting with Amazon ElastiCache for Redis 6, ElastiCache now provides you with the ability to create and manage users and user groups that can be used to set up Role-Based Access Control (RBAC) for Redis commands

• Starting with Amazon
• Redis
• ElastiCache now provides
• ability to create
• manage users
• used to set
• Role-Based Access Control
• RBAC
• Redis commands

EN Starting with Amazon ElastiCache for Redis 6, ElastiCache now provides you with the ability to create and manage users and user groups that can be used to set up Role-Based Access Control (RBAC) for Redis commands

• Starting with Amazon
• Redis
• ElastiCache now provides
• ability to create
• manage users
• used to set
• Role-Based Access Control
• RBAC
• Redis commands

EN The AWS Global Infrastructure gives you the flexibility of choosing how and where you want to run your workloads, and when you do you are using the same network, control plane, API’s, and AWS services

• AWS Global Infrastructure
• flexibility of choosing
• want to run
• workloads
• same network
• control plane

EN Customers running memory or compute-intensive workloads can now use more memory for their functions

• Customers running memory

EN AWS Graviton2 processors are custom built by Amazon Web Services using 64-bit Arm Neoverse cores to deliver increased price performance for your cloud workloads

• built by Amazon
• Arm Neoverse cores
• deliver increased price
• cloud workloads

EN We recommend starting with web and mobile backends, data, and stream processing when testing your workloads for potential price performance improvements.

• mobile backends
• workloads for potential
• performance

EN Designed for compute-intensive workloads with cost-effective high performance

• Designed for compute-intensive
• cost-effective high performance

EN With this change, we expect to decrease the processing time of some of our key workloads by more than 30 percent.”

• change
• expect to decrease

EN NVIDIA T4 GPUs accelerate diverse cloud workloads, including deep learning training and inference and graphics

• NVIDIA GPUs accelerate
• cloud workloads
• deep learning training
• inference
• graphics

EN The NVIDIA Data Center drivers provide the best performance for highly intensive computational workloads often found in Deep Learning, Data Science, and HPC.

• NVIDIA Data Center
• performance for highly
• computational workloads often
• Deep Learning
• Science

EN Amazon EC2 P3 instances feature up to eight latest-generation NVIDIA V100 Tensor Core GPUs and deliver up to one petaflop of mixed-precision performance to significantly accelerate ML workloads

• Amazon instances feature
• eight latest-generation NVIDIA
• Core GPUs
• petaflop of mixed-precision
• significantly accelerate ML

EN With Amazon EC2 P3 instances, Airbnb can run training workloads faster, go through more iterations, build better machine learning models and reduce costs.

• Amazon instances
• Airbnb can run
• workloads faster
• build better machine
• models
• reduce

EN The company runs their HPC workloads for next-generation genomic sequencing and chemical simulations on Amazon EC2 P3 instances

• workloads for next-generation
• sequencing
• instances

EN Amazon EC2 P3 instances are an ideal platform to run engineering simulations, computational finance, seismic analysis, molecular modeling, genomics, rendering, and other GPU compute workloads

• engineering simulations
• computational finance
• seismic analysis
• molecular modeling
• genomics
• rendering
• GPU compute workloads

EN Webinar: Accelerate Machine Learning Workloads Using Amazon EC2 P3 Instances

• Webinar
• Accelerate Machine Learning
• Amazon Instances

EN Automate the creation of AWS accounts and categorize workloads using groups

• Automate the creation
• AWS accounts

EN You can also use AWS Control Tower to apply pre-packaged governance rules for security, operations, and compliance for ongoing governance of your AWS workloads.

• AWS Control Tower
• apply pre-packaged governance
• security
• operations
• compliance for ongoing
• AWS

EN Run your large, complex simulations and deep learning workloads in the cloud with a complete suite of high performance computing (HPC) products and services on AWS

• Run your large
• complex simulations
• deep learning workloads
• suite of high
• computing
• HPC
• products
• AWS

EN Iterate and fine-tune models faster to accelerate workloads like reservoir simulations.

• Iterate
• fine-tune models faster

EN Accelerate research Process complex workloads, analyze massive data pipelines, and share results with collaborators around the world

• Accelerate research Process
• workloads

EN Power your business critical workloads with the full breadth of Aurora features, including backtrack, cloning, Global Database, Multi-AZ, and read replicas.

• breadth of Aurora
• backtrack
• cloning
• Global Database
• Multi-AZ
• read

EN Amazon Aurora Serverless v1 is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads.

• Amazon Aurora Serverless
• simple
• intermittent
• unpredictable

EN When we heard AWS was building a time series database service, Amazon Timestream, we signed up for the preview and started testing our workloads

• series database service
• Amazon Timestream
• preview

EN Minimum recommended tier if you have production workloads in AWS

• Minimum recommended tier

EN Recommended if you have production and/or business critical workloads in AWS.

• production

EN Recommended if you have business and/or mission critical workloads in AWS.

• mission critical workloads

EN Using AWS Auto Scaling, you maintain optimal application performance and availability, even when workloads are periodic, unpredictable, or continuously changing

• AWS Auto Scaling
• maintain optimal application
• availability
• even when workloads
• periodic
• unpredictable
• continuously changing

EN It uses an event-driven, parallel data processing architecture, which is ideal for workloads that need more than one data derivative of an object

• uses an event-driven
• parallel data processing
• ideal for workloads

EN This applies to a variety of serverless workloads, such as web and mobile backends, data, and media processing

• serverless workloads
• web
• mobile backends
• media processing

EN Customers running memory or compute-intensive workloads can now use more memory for their functions

• Customers running memory

EN AWS Graviton2 processors are custom built by Amazon Web Services using 64-bit Arm Neoverse cores to deliver increased price performance for your cloud workloads

• built by Amazon
• Arm Neoverse cores
• deliver increased price
• cloud workloads

EN We recommend starting with web and mobile backends, data, and stream processing when testing your workloads for potential price performance improvements.

• mobile backends
• workloads for potential
• performance

EN Millions of organizations run diverse workloads on the AWS compute platform

• Millions of organizations
• AWS compute platform

EN Right compute for your workloads

• workloads

EN of all Kubernetes workloads in the cloud run on AWS*

EN Preferred service for all vSphere workloads to rapidly extend and migrate to the cloud

• extend

EN Recommends optimal AWS compute resources for your workloads to reduce costs and improve performance

• Recommends optimal AWS
• reduce costs
• improve performance

EN Preferred service for all vSphere workloads to rapidly extend and migrate to the cloud.

• extend

EN Run fault-tolerant workloads for up to 90% off

• Run fault-tolerant workloads
• off

EN This is why VMware Cloud on AWS is our preferred service for all vSphere workloads.

• why VMware Cloud

EN How to Exit Your Datacenter and Modernize VMware Workloads on AWS

• Exit Your Datacenter
• Modernize VMware Workloads
• AWS

EN Innovate and Modernize on Your Terms: Deploy Oracle Workloads on VMware Cloud on AWS

• Innovate
• Modernize on Your
• Deploy Oracle Workloads

EN VMware workloads running on AWS have access to a broad and rich set of over 200+ AWS services including compute, database, analytics, IoT, AI/ML, security, and more

• VMware workloads running
• AWS have access
• broad
• database
• analytics
• IoT
• AI
• ML
• security