Huddle Up Your Cloud Team! Here are 12 Best Practices for AWS Development
At the end of last year, the mega event of the cloud industry took place in Las Vegas. Yeah, your guessing is right. Here, we are focusing on AWS re:Invent 2016. The cloud market leader, Amazon Web Services, announced the revolutionary technology enhancements that are robust enough to transform the future of cloud landscape and power up the IT industry.
Mr. Werner Vogels, CTO of AWS, introduced new services to the cloud community that seem more promising in terms of driving an omnipotent revolution across development, data and analytics, testing and operations, as well as computing.
Are you ready to explore breakthrough updates of AWS that are reforming the way developers build a cloud-based application or solution? Let’s dive into it.
3 Areas Where Transformation Is Needed
Along with the development, it covers testing and operations too. It contains a broad spectrum that enables businesses to develop smaller and more targeted apps, reduce business risks, react to customer’s needs, and deliver the changes swiftly.
Data is the biggest differentiator of this time where every business is seeking for the same computing power and storage capabilities.
It’s a heterogeneous space where Serverless Computing, Containers, and Virtual Machines coexist.
Development, Testing & Operations Transformation
Development, testing, and operations are the engines to bring agility in cloud product development. But most of the IT companies are taking them lightly. In this competitive era, organizations cannot wait longer to release their application or software as they have to deal with tech-savvy customers. End users continuously look for other similar options available in the market that release incremental functionality. So, if you disappoint them, then you are giving a chance to your rivals to win them.
To attain business agility, AWS has released new services that help developers to build and run their cloud products more efficiently and quickly. Moreover, organizations can improve the responsiveness of their business and operating environment using these services. Have a quick look at the various AWS services that simplify the development, testing, and operations of an application.
An advanced service offered by AWS to visualize, analyze and debug distributed applications. It assists developers to identify performance errors and bottlenecks.
Amazon EC2 Systems Manager
A set of AWS tools for installation, packaging, resource configuration, task automation, and patching on Amazon EC2. It aids in automating the tasks that need to be carried out on EC2 instances. The Amazon EC2 Systems Manager is integrated with AWS configuration so that it facilitates developers with constant governance and monitoring of EC2 instances and on premise.
It’s a managed DDoS protection service that is generally available in two tiers: Shield Standard and Shield Advanced. If we talk about Shield Standard, it provides DDoS protection to all consumers through Route 53, EC2, Elastic Load Balancing, API Gateway and CloudFront. Shield Advanced offers protection against more sophisticated and large DDoS attacks at the application layer.
It’s a fully managed and extensible service to compile source code and run unit tests. AWS Codebuild is integrated with other application lifecycle management services such as AWS CodePipeline, AWS CodeCommit, and AWS CodeDeploy. These integrations decrease the time between iterations of application.
AWS OpsWorks for Chef
A fully managed Chef automation server to fuel more automation and reduce the heavy lifting associated with continuous deployment.
Personal Health Dashboard
It permits developers to have a personalized view of AWS Services Health for all customers. Developers can attain visibility into service heath issues that might affect their software performance.
There was a time when only wealthy companies can afford to access the infrastructure resources. But, today every developer has the access of infrastructure technology services that facilitate them with the advanced technologies to boost the cloud development up to the next level.
AWS facilitates companies with a wide range of analytics capabilities including real-time processing, data processing, predictive analytics, reporting, and warehousing. All these functionalities are supported by a set of data-related services such as Elasticsearch, Redshift, EMR, Lex, Amazon Machine Learning, Quicksight, Athena, Polly, and Rekognition.
According to Werner, modern data infrastructure is agile that has to perform various data analytics tasks such as discovery, security, governance operations, storage, data acquisition, and indexing. Moreover, the data infrastructure has to manage a constantly changing variety of models, users, applications, sources, processing needs, and queries. By introducing three new services, AWS has made data transformation quite easier than ever.
A fully managed batch processing at any scale. The service addresses all the challenges of larger scale batch processing such as jobs interdependencies, cluster provision, cluster scaling, batch software install, job queues, and job scheduling. It also helps in cost optimizations through the EC2 spot fleet and support priority-based queues.
It’s a data-driven engagement service specially designed for mobile apps. It allows to define your preferred customer segment, schedule a push notification campaign for user engagement, and monitor the output in real-time.
It’s a fully managed ETL and data catalog service. With AWS Glue, developers can easily move the data across data stores. The service also simplifies and automates time-consuming data discovery, mapping, conversation and job scheduling tasks.
Compute is a vast subject that contains updates, packaging, runtime, execution and unit of cost. In the compute transformation, AWS has introduced three key technologies such as Virtual Machines, Containers, and Lambda. Accelerate the compute transformation with a new lambda functionality, an open source container framework, and a distributed application co-ordination service.
A set of open source projects for container orchestration and management. It is available on blox.github.io.
AWS Lambda @ Edge
Run AWS Lambda Functions at CloudFront locations to process the data at the edge location to attain low latency request/response.
AWS Step Functions
Coordinate components of distributed apps using visual workflow. Coordination amongst multiple Lambda functions enables developers in gaining complex behavior such as retry policies, concatenation, long-running tasks, parallel execution, etc.
So, with these 12 highly dynamic features and new services, AWS boosts up the capabilities of developers by transforming the way they build an application or software.
This article Originally published at www.intuz.com
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