There should be no doubt anymore that containers are revolutionizing the world of application development and leading the charge for purpose-built cross-cloud and hybrid-cloud topologies. There are other virtualization platforms that solved problems in server consolidation and data center optimization, but in the new world of cloud and mobility, proprietary monolithic middleware may have had its day.

With Azure Virtual Machine (VM) Scale Sets you can automatically scale the number of VMs running an application based on the compute resources required. VM Scale Sets make it easier to deploy and manage a large number of Virtual Machines consistently and allow you to use and pay for the minimum resources needed at any given time, but they also introduce a few monitoring challenges.

Gatsby is currently generating a ton of buzz as the new hot thing for generating static sites. This has lead to a number of frequent questions like: A static…what now? How is GraphQL involved? Do I need to set up a GraphQL server? What if I’m not a great React developer, really more of a bad React developer?

When we talk about cloud providers, we often forget that not all data is the same — even in the same application, while we might think of this data as from a “financial application” or a “computation process”, the reality is that each data set has subsets upon subsets, and thus require specific applications to manage them.

I’ve been working on creating AWS Cognito User Pools in CloudFormation, and thought this would be a good time to share some of what I’ve learned.

Opsgenie Edge Encryption is a new feature that makes it easy to secure sensitive data and meet compliance requirements while using Opsgenie for alerting and incident management. Edge Encryption secures data before it leaves your environment, you manage the encryption keys, and the experience is seamless for users. Atlassian has no access to the encrypted data and neither do potential attackers.

So a while back I got an email from our finance team. I was tasked to assist with tagging resources in our AWS infrastructure and investigate which items are contributing to certain costs. I don’t know about other engineers, but these kinds of tasks are on the same realm of fun as … wiping bird poop off your windshield at a gas station. So I did the sanest thing I could think of.

Microsoft Azure has long proven it’s a force to consider in the world of cloud computing. Over the past year, Azure has made some significant steps in bridging the gap with AWS by offering new services and capabilities as well as competitive pricing.

DevOps, Observability, Continuous Delivery, Test in Production, Chaos Engineering, and Software Ownership are all major themes in software development today, but why? In an ideal world, we get everything right the first time, nothing breaks, no one DDOS’ us, and the weather report is “Cloudy With A Chance of Meatballs.” Reality of course is different – and better, to be honest.

With AWS Lambda, we get scalability and resilience out-of-the-box. What’s more, AWS also provides built-in monitoring, logging and tracing support through CloudWatch and X-Ray. These built-in tools provide a good starting point but many developers eventually outgrow them as their serverless application becomes more complex. In this post, let’s take a serverless application and see how Dashbird can help you debug a serverless application.