Operations | Monitoring | ITSM | DevOps | Cloud

In the digital transformation era, any organization on its growth to glory must consider developing and investing in modernizing their application portfolios. That includes healthy competition, legacy modernization, and creating a unique identity from the rest of others. Moreover, advancements in technology have forced organizations to reconstruct themselves to the new normal. Application modernization is all about the process of repurposing or consolidating current business applications.

One of the common challenges when doing performance testing is the difficulty of correlating the metrics of your application with your testing results. Having available QA, infrastructure, and application metrics together allows engineering teams to better understand the behavior of their systems during the testing, helping to detect and prevent potential issues in their applications.

Are your cloud costs out of control? Do you struggle with cost overruns or going over your cloud budget? Forecasting costs accurately can help you create a realistic cloud budget you can stick to and prevent cloud bill surprises. In this guide, we’ll cover why it’s so challenging to predict cloud costs and techniques you can use to create an accurate budget your organization will be able to maintain. Table Of Contents.

Over the last few years, multicloud frameworks have drifted into the mainstream. Organizations now create, store and manage enormous volumes of data across different cloud platforms. Despite the magnitude of this trend, there’s a stark and often disturbing truth: Businesses often have little or no visibility into much of the data that resides in these clouds. The culprit? Dark data.

Over the last several years, systems architects have had to make sure their systems are cloud native, with applications that are optimized for scalable cloud technology infrastructure. In today’s environment, you should be asking whether your solutions are cloud nimble as well. For the modern enterprise, cloud computing is now the default model for applications, storage, and compute.

Amazon EventBridge is an AWS serverless event bus service making it easier to build event-driven applications. It uses events generated from your applications, integrated Software-as-a-Service (SaaS) applications, and other AWS services. It delivers a stream of real-time data from event sources to target services like AWS Lambda. You can also set up routing rules to determine the destination where you wish to send the data and build decoupled application architectures.

This blog is a write up on one of the best webinars hosted by Serverless360, “Building a frictionless Azure Support Workflow”, presented by Michael Stephenson. In this session, Michael Stephenson, Microsoft Azure MVP, who has extensive experience coaching organizations to adopt Microsoft Azure successfully, will walk us through the Serverless360, highlighting the product capabilities to address the business challenges from an operational and support perspective.