At CloudHedge, we’re making use of AI to mitigate inefficiencies and speed up the automated application modernization process. Deploying applications on the cloud has always been challenging, there are so many parameters involved that the entire deployment process becomes tedious. To make matters easy, we have CloudHedge’s Cruize module which can be used for deploying your app on cloud, be it AWS, GCP, IBM Cloud or even Azure.

We perform a chaos engineering experiment to test AppDynamics monitoring for PCF, and its ability to help operators and developers respond proactively.

While deploying updates in large-scale production environments, it can be easy to overlook minor issues that may later turn out to be the cause of major infrastructure problems. To ensure these large deployments are safely rolled out to production, they can be staged in one subset of your environment and then another; for example, once an update is deployed to a subset, it is monitored to make sure everything is fine and then moved to the next subset.

For enterprises exploring cloud architecture options, multi-tenancy can offer the cost savings, flexibility, scalability and security to enable them to thrive in today's fast-paced business environment.

We’re pleased to announce that the Lumigo serverless intelligence platform now supports the Python microframework, AWS Chalice. Chalice was created by AWS to simplify the process of writing serverless apps in Python. Similar in structure to the Flask web framework, Chalice handles much of the configuration on behalf of the user, including automated IAM role policy generation.

“To have your head in the clouds” has several meanings since Cloud computing arrived and is part of our vocabulary thanks to its efficiency. Therefore, today we will review not only what cloud computing is, but also the types of cloud computing.We also love to have our heads “in the clouds”.

Serverless has the potential to bring massive ops advantages to projects of all sizes, but while it presents great business benefits, we need to spare a thought for how teams develop on serverless. I recently published ‘Serverless Development is Broken’ a list of concerns about how developers can work with long deploy times inherent in a cloud-only code environment.

When it comes to cloud strategy, companies rank “cutting costs” as their top priority for 2019, according to a recent Datamation survey. That’s not to say that they plan to cut back on cloud spending in general; in fact, those budgets are very much expected to grow. Rather, companies are looking for ways to reduce unnecessary costs and optimize cloud spend.

An ever increasing number of developers and architects are using AWS Lambda to deploy serverless functions to control costs and reduce the burden of server management. Due to the unpredictable nature of end-user demand in today’s digital-first world, Lambda functions can help resolve unplanned scaling issues.

AWS has 21 (and counting!) geographic regions. If you never use one or more of those regions, detecting activity in those regions is critical for your cloud security posture.