AWS re:Invent, the public cloud provider's signature yearly event, is back again. And the conference continues to expand, taking up more of the Las Vegas Strip each year.
This year's show figures to bring much of the same: a look into new AWS products and services, sessions to help AWS professionals expand their deployments and a gathering place for cloud enthusiasts around the globe. AWS re:Invent 2017 will bring together developers, administrators, DevOps engineers, big data experts and other IT professionals, all of whom use the AWS cloud for their own purposes and needs.
As we enter the annual AWS conference, questions are emerging about the cloud provider's strategy, especially for serverless computing, containers and AI. What will this year's keynote addresses reveal, and how can enterprise attendees take advantage of what they learn at the show?
IT professionals across a variety of roles can use this AWS re:Invent 2017 essential guide for news updates directly from Vegas and to stay on top of the latest AWS tools and skills.
Updates and insight from the show floor and keynotes
At AWS re:Invent 2017, the cloud provider will reveal its plans for the future. Recent developments around hybrid cloud and workload migration hint at further expansion outside AWS and into enterprise data centers. Increased automation and continuous delivery should also be focal points for AWS and are among the demands of its customers. And as new workloads and markets develop, expect AWS to make a greater push around the internet of things (IoT) and serverless computing. Reference this essential guide for the latest news, analysis, sights and sounds about these topics and more from the AWS conference.
Databases were a big focus for Amazon at re:Invent. The public cloud provider not only unveiled a new graph database and made improvements to Aurora, but it improved data storage query capabilities. Continue Reading
A slate of new Amazon AI services adds to the cloud provider's video and machine learning capabilities -- a boon for enterprises. Continue Reading
AWS CEO Andy Jassy talked about the cloud provider's approach to a variety of technologies and topics at re:Invent. Continue Reading
AWS' shared responsibility model has been a source for confusion for some public cloud customers, but Amazon has responded to enterprise demand for more tools up the stack. Continue Reading
In its first keynote of re:Invent, AWS appealed to customers looking for ease of use for higher-level services. Continue Reading
In addition to a service aimed at Kubernetes, AWS released Fargate that further changes the container landscape. Continue Reading
As AWS Cloud9 enters a crowded market for developer tools, the cloud provider addresses a gap in its service portfolio. Continue Reading
AWS users voiced their opinions via Twitter from re:Invent in Las Vegas, reacting to long lines, new services and the massive scale of the conference. Continue Reading
Amazon Neptune opens up graph database capabilities for customers, a big play into a market typically occupied by smaller vendors. Continue Reading
AWS re:Invent was again the host of a dizzying array of services and features, but these tools an services in particular are the ones you need to know about. Continue Reading
AWS unveiled Alexa for Business, which grants new capabilities for the popular Echo family of devices to push into workplace productivity. Continue Reading
Amazon.com CTO Werner Vogels made no bones about the importance of encryption during his AWS re:Invent keynote, imploring customers to be diligent. Continue Reading
Enterprises concerned about the complexity of machine learning can turn to Amazon SageMaker, which removes some of the complexity of the deep learning technology. Continue Reading
Don't believe all the rumors about AWS certification. Anthony Sequeira of CBT Nuggets sorts through truth in fiction as IT professionals seek certification at re:Invent. Continue Reading
A new graph database service, Amazon Neptune, and upgrades to Aurora show AWS is committed to expanding its database portfolio. Continue Reading
AWS' keynote addresses reveal a host of new technologies available to customers, as well as a peak behind the curtain at the cloud provider's roadmap. What might be in at this year's AWS conference? Continue Reading
Never one to stand pat, AWS will likely trot out emerging use cases for its platform at re:Invent 2017, appealing to customers across a variety of markets and industries. Continue Reading
When Elastic Compute Cloud unveiled its C5 instance, AWS mentioned a new hypervisor in its blog post, which signals a shift away from its Xen-based hypervisor. Continue Reading
AWS stands to benefit from its Red Hat and VMware partnerships in different ways, but both deals signal a desire to capture more hybrid cloud workloads. Continue Reading
Manage your AWS resources and services
Cloud admins require a specific set of skills and tools to effectively manage an AWS deployment. And those skills can vary based on how an enterprise implements the public cloud. Businesses with a hybrid AWS environment, for example, can benefit from Elastic Compute Cloud (EC2) Systems Manager, a set of services that lets admins automate management tasks across cloud instances and on-premises servers. For other hybrid users, familiarity with VMware Cloud on AWS will become a must. Meanwhile, all AWS admins -- regardless of their deployment model -- continue to prioritize security, account management and simplified migration processes. Learn which recent AWS tools and services can help meet your needs.
Enterprise customers that want to invest in disaster recovery can spin up multiregion deployments, but that approach comes with tradeoffs and can be pricey. Continue Reading
EC2 Systems Manager helps admins manage, patch and configure infrastructure, both in the AWS cloud and on premises. Follow these steps to get started. Continue Reading
Large enterprises might have many AWS accounts with differing needs. The AWS Organizations service lets admins create consistent cloud use across the business. Continue Reading
While uses for bare metal still exist, many IT teams can turn to AWS' dedicated resources for the isolation they need. If that's not enough, VMware Cloud on AWS might be your best choice. Continue Reading
AWS account protection is a serious matter, but it takes on even more importance with the root account, which can endanger an entire business if compromised. Continue Reading
Enterprise admins now have more options for an AWS hybrid cloud, but the provider still has work to do to fully meet customer demands. Continue Reading
It can be hard enough to send data to and from the cloud, but server replication can be an even more complex problem -- one that AWS Server Migration Service aims to solve. Continue Reading
The AWS-VMware partnership marked a big foray for both companies into hybrid cloud, but it left a messy price comparison between VMware Cloud on AWS hosts and EC2 instances. Continue Reading
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Build a complex, cost-conscious application
Amazon continues to make an effort to win over the developer community, incorporating technologies such as serverless computing and containers into its portfolio. Indeed, AWS unveiled several new developer services at last year's show, and app dev tools will likely share a significant portion of the spotlight this year. The cloud provider also continues to add to its arsenal of EC2 instance types, which include options for accelerated computing and high-performance workloads. Get caught up on AWS app dev and resource provisioning methods ahead of re:Invent 2017.
AWS has moved on from its Elastic Load Balancing tool, first unveiling Application Load Balancer in 2016 and, now, Network Load Balancer to address developers' evolving needs. Continue Reading
AWS beefed up its slate of EC2 instances, adding options for graphics processing units (GPUs) and field-programmable gate arrays (FPGAs) for accelerated computing workloads. Continue Reading
Platform-as-a-service tools are becoming passe, argues David Linthicum, who says that serverless technology offers similar benefits to PaaS with fewer limitations. Continue Reading
The AWS Serverless Application Model now includes on-premises functionality that enables developers to build and test applications before deployment. Continue Reading
As containers grew in popularity, many developers incorporated Kubernetes within their DevOps tool chains. But how does AWS' open source orchestrator Blox compare? Continue Reading
AWS has adapted to new app dev methods based on serverless computing, containers and microservices. Each method offers its own benefits, as well as challenges. Continue Reading
Developers can use AWS Batch to automatically provision the ideal number and size of EC2 instances for large workloads that don't particularly suit AWS Lambda. Continue Reading
IoT applications help businesses gain insight from internet-connected sensors. Developers can code logic with Lambda to build and test new IoT apps on AWS. Continue Reading
Automate AWS resources for speed and efficiency boosts
These days, it's not enough to deploy quality applications; you've got to deploy -- and patch -- them quickly. As such, DevOps takes on a greater role with many enterprises in the cloud, as they build continuous integration and continuous delivery pipelines to push out new applications and updates. AWS provides automation capabilities across multiple accounts and regions, allowing DevOps teams to quickly specify the compute and security resources they need. But some experts believe AWS has room to grow. Get started with architecture automation with these helpful tips.
AWS CloudFormation added a StackSets feature that expands automation capabilities well beyond single-account architectures, which is a benefit to larger businesses. Continue Reading
As more enterprises adopt DevOps strategies, skilled professionals are in short supply. IT pros that can automate multi-cloud resources are more likely to find work in a changing jobs landscape. Continue Reading
As IT teams roll security into the DevOps mix, AWS adapts its services to meet those needs. These two tools can help you achieve more consistency and develop complex security models. Continue Reading
AWS offers Step Functions, Batch and Simple Workflow Service for job scheduling, but which should you choose and when? Chris Moyer gets to the bottom of it. Continue Reading
While GitHub has become a favorite in the developer community, CodeCommit and CodeStar provide AWS-native options for customers who are all-in on Amazon's cloud. Continue Reading
Why wait to automate your cloud infrastructure? Enterprises that want to move to AWS should take a DevOps approach from day one to save headaches later. Continue Reading
5Data analysts, scientists-
Manage and gain insights from your heaps of data
As enterprises shift more workloads to AWS, their data management and analytics practices need to keep up. It can be a difficult task to properly store and manage data, as it often comes in a range of formats and from a variety of heterogeneous systems. IT teams should evaluate AWS tools, including Glue, as well as the provider's various database options, such as Aurora. For multi-cloud users, it's critical to know how AWS' data management services compare to those from Microsoft and Google. And AWS shops with AI and big data implementations should ensure their data analysts are up to speed with technologies such as Amazon Machine Learning, Athena and Kinesis.
Amazon Athena can handle large-scale data queries, but it only makes sense for infrequent requests. Weigh the service's pros and cons, and see how it differs from BigQuery. Continue Reading
As more teams shift to hybrid or multi-cloud, data storage and management become complicated tasks. AWS offers these tools to corral data and avoid integration snags. Continue Reading
Are you sick of extract, transform and load jobs? AWS Glue simplifies this task, as it automatically generates ETL code to reduce errors and let you analyze data faster. Continue Reading
New technologies give businesses new options for data analytics and models, and savvy IT professionals can gain these skills to improve their careers. Continue Reading
AWS, Azure and Google offer similar data management services but have different data analytics capabilities and pricing structures. Continue Reading
While AWS offers several enticing tools for data analytics, customers with data stored on premises can run into migration hurdles at first and management challenges later. Continue Reading