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AWS continues its vertical growth along the cloud landscape, adding services and features that appeal to a growing base of customers. Developers now have more tools at their fingertips for their AWS plans, enabling serverless infrastructures and internet of things management. While DevOps can alleviate the pressure developers face having to put applications into production quickly, implementing that idea requires an organizational commitment to change app development and learn new tools.
SearchAWS looked back at the most popular expert tips of 2016, so far. Our experts covered a variety of topics -- from AWS management to migration and service configuration -- and these tips stood out as our readers' favorites. Some popular AWS plans involve newer technologies, while some tips covered some basic cloud computing practices, hinting at the variance of AWS adoption in the market.
Inside Azure and AWS regions and availability zones
It's confusing -- and perhaps frustrating -- when trying to compare the data center options between the different cloud providers. Microsoft Azure, AWS' closest public cloud competitor, uses the same term -- region -- as AWS to describe physical data center locations.
But it's not an apples-to-apples comparison between an AWS region and an Azure region, leading to speculation about which cloud provider possesses more physical servers to keep cloud workloads operational in the event of an outage or failure.
Regardless, AWS customers need to approach the selection and evaluation of cloud regions carefully when determining AWS plans. David Linthicum looks at each provider's computing capacity to help adopters make heads or tails of vendor terminology.
Enterprise bets on an AWS DR strategy -- and wins
The fear of cloud outages may be less pressing than in the past, as cloud providers boast strong uptime rates and increased security features. But no cloud server is completely safe from an outage. Enterprises need to act accordingly and compile AWS plans for disaster recovery (DR) to remain operational when the worst-case scenario happens.
Alan Earls examines how one enterprise approached AWS disaster recovery, and what it did to stay afloat when an outage occurred. He also offers some DR best practices and recommendations.
Tricks to dodge common AWS Lambda problems
Serverless computing has its zealots and evangelists, but the reality is that the majority of enterprises are only implementing AWS Lambda on experimental levels. Developers are curious about the technology, but full-scale serverless deployments seem to be fewer than hype would have you believe.
As with any foray into a new technology, there are some educational speed bumps. Chris Moyer attempts to ease the learning curve for the reader, identifying five common AWS Lambda errors. These mistakes range from basic security gaffes to issues with Lambda functions and coding, as well as deeper Lambda implementation mistakes. And because serverless computing offers no VM to log in to, it's more difficult to diagnose problems within a deployment. However, Moyer's examination points out some obvious flaws.
Four principles of AWS cost management
Budget is foremost on the minds of CIOs, CTOs and admins tasked with determining AWS plans. AWS offers several tools to help customers track costs in its cloud, but large cloud deployments -- including multicloud and hybrid cloud -- can easily become difficult to monitor for cost and performance.
TechTarget expert Kurt Marko offers four tenants of managing AWS costs, including a basic cost-conscious cloud philosophy, Elastic Compute Cloud instance management as well as more complicated infrastructure design strategies involving data management and using free tiers of service. Limiting cloud costs is not as simple as pushing a button. Administrators need to put care into their approach from the beginning to achieve a cost-efficient cloud architecture throughout the project.
Use DevOps on AWS to automate app deployment
Cloud computing changed the mindset of IT professionals, who started to move workloads out of their own data centers. The DevOps methodology has a similar affect, as enterprises seek to release new and updated applications at faster clips. Smaller applications comprised of different computing environments are replacing the monolithic applications of yesterday.
AWS released a suite of DevOps tools, seeking to capture additional revenue in the Agile-focused market. David Linthicum examines different AWS DevOps tools, helping readers understand their app deployment options in the cloud.
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