In the following article, we’ll explain why using AWS for DevOps makes sense for most businesses. We’ll also explain how CloudRanger can further simplify the experience of using AWS for DevOps.

At its core, Devops is a software development process that emphasises tight collaboration between product managers, developers, and operations professionals. This strong emphasis on collaboration is intended to better monitor a product’s development and hasten its release. In addition, the DevOps process also relies heavily on automation to further streamline software development and favours Continuous Integration (CI) or Continuous Delivery (CD), which is the frequent deployment of small-scale software updates as opposed to the staggered release of massive overhauls.

Amazon Web Services (AWS) is uniquely situated to meet all of these criteria and more. As the world’s largest cloud-computing platform, AWS provides users with a set of flexible tools and services that cater to the needs of DevOps professionals and help simplify the process of developing and releasing new software and applications.

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In theory, everyone seems to agree on the need for a comprehensive disaster recovery (DR) plan. But for IT professionals tasked with ensuring AWS business continuity, theory and reality are two very different things. After all, finding vocal managerial support for a DR plan is one thing. Finding the actual funds to implement it is another.

When pitching a DR plan, it can be difficult, if not impossible, to project ROI. It’s hard to accurately gauge the value of something that will hopefully never be used. As with fire extinguishers or airbags, DR plans are usually taken for granted until something goes horribly wrong. For that reason, it might be better to frame a DR plan in terms of an insurance policy that will mitigate possible losses rather than an investment that will produce tangible gains or cost savings. And as with other types of insurance, it might also make sense to bring in a third-party vendor to handle your disaster recovery needs. READ MORE

In 2003, two Amazon engineers came up with an idea to use the company’s existing computing infrastructure as a platform for offering consumers standardized, automated web services. Fourteen years later, Amazon Web Services (AWS) is the world’s largest cloud computing platform, boasting over a million customers and $10 billion in annual revenue. And despite the recent growth of cloud-based competitors such as Google Cloud and Microsoft Azure, AWS still commands nearly 40 percent of the cloud computing market share, more than its three biggest competitors combined.

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In previous posts, we’ve discussed many of the flexible, money-saving features offered by Amazon Web Services (AWS). We’ve also discussed how third-party AWS management systems like CloudRanger can help cut costs even further by automating routine tasks. But in order to take full advantage of AWS and CloudRanger, it’s important for users to understand the importance of properly tagging AWS resources.

In the following article, we’ll explain why properly tagging AWS resources is necessary, and go over some of AWS’ best practices and recommended strategies for applying tags. We’ll also explore how CloudRanger utilizes tags to simplify various aspects of AWS, saving time and money in the process.

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Amazon Elastic Beanstalk is a PAAS (Platform as a Service) service that allows developers to upload application code to AWS and quickly deploy an application on AWS.  Amazon Elastic Beanstalk is one of the easiest and quickest ways to host an application on AWS.

Amazon Elastic Beanstalk automates the deployment process so that developers do not have to worry about the infrastructure layer. This speeds up deployment time and manages application deployment automatically.

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