This past couple of month were a bit hectic and there’s a good reason behind that. We’ve set out to create a better experience for our users, and it’s exactly what we did! Besides making a lot of quality-of-life changes, we’ve introduced new features that we think, will speed up the speed at which you’ll debug your applications and give you a whole new perspective on all things AWS Lambda.

“I want to optimize cloud costs, my monthly bills are running high and we are overshooting our budgets, I thought by migrating to cloud we would end up saving!” Heard that before? This is the basic question from the senior management as to how can we lower the high-infrastructure cost once on the cloud. If you are facing either or all the challenges below, this article is for you!

Serverless has, for the last year or so, felt like an easy term to define: code run in a highly managed environment with (almost) no configuration of the underlying computer layer done by your team. Fair enough, but what is is a serverless application? A Lambda isn’t an app by itself, heck, it can’t even communicate with the world outside of Amazon Web Services (AWS) by itself, so there must be more to a serverless app than that.

It’s the celebration time of the year! Dashbird is now an official Amazon Web Services (AWS) Advanced Technology Partner (APN). Our team has demonstrated that we can build a strong, secure and reliable AWS-based business that can benefit Amazon Web Services users. The new partner status is recognition of Dashbird ability to help companies to better monitor and troubleshoot their Lambdas by providing state of the art solution for serverless observability.

Today we’ll talk more about the cost tracking for serverless architecture. Following the cost of serverless architecture utilization it might give you insights on how and what should you change or adapt to, to be able to reduce the cost. After all, we’re all always trying to improve our performances in every field while keeping the costs to a minimum (if possible).

Opsgenie Actions enable you to automate manual, repetitive tasks so that your resources are freed up to concentrate on higher-value work. This blog post is the second in a series of use cases in which we discuss how Opsgenie works with various third-party automation platforms to automate these traditionally manual tasks—right from the Opsgenie console or mobile app— to reduce interruptions for your on-call responders, and ultimately help your bottom line.

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.

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.