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The latest News and Information on Cloud monitoring, security and related technologies.

Why Enterprise Observability Is a Better Approach to Unified Monitoring

To say modern enterprises are built on the cloud is an understatement. According to Gartner, enterprise spending on cloud applications surged to 57.7% in 2022, and investments into public cloud services hit a respectable 41%. These numbers are only predicted to grow further in 2025 as enterprises accelerate cloud rollouts and move into a cloud microservices architecture to realize greater agility, productivity, and competitiveness.

Make Azure Management Seamless with Serverless360

Serverless360 enables advanced Azure management to monitor resources distributed across multiple subscriptions, get end-to-end tracking, perform remediation, optimize costs, and enhance security. There were nearly 80+ new features, and enhancements rolled out in the last 14 months, and to keep up with the momentum, we have come up with exciting new feature upgrades even this time. We have introduced escalation policies to resolve failures on time. On top of that, a lot is being introduced to advanced Azure Management and end-to-end tracking.

Engineering tomorrow, today: hybrid cloud at the edge

The direction of travel for business technology is one-way. The momentum towards strategies around decentralised, hybrid technologies is unstoppable. Examples abound, from the composable software stacks of e-commerce to the ongoing death of monolithic ERP. Modern, digitally-driven business is based on a dynamic alignment of resources, data and technology at the granular level, which is then coordinated precisely.

Azure VM Types

Microsoft Azure, one of the leading cloud computing platforms, provides various services that enable businesses to run and manage applications efficiently. Among these services are virtual machines (VMs), which offer scalable computing resources to accommodate the diverse requirements of modern applications. In this article, we will delve into the different Azure VM types available and guide you on how to select the most suitable option for your specific needs.

ChatGPT uncertain about the future of cloud computing

ChatGPT has been the talk of the town for more than four months now. As the first ever artificial intelligence (AI) -powered chatbot, it has quickly gained immense popularity, helping students, engineers and even executives generate content, write and debug code and run market analyses. But could ChatGPT be used for anything other than natural language processing (NPL)? Could it, for example, assist businesses with strategic decision-making? I decided to try it out.

From Manual to Digital: The Impact of Technology on Business Operation

A little over a decade ago, businesses relied heavily on manual processes to carry out their day-to-day operations. Unfortunately, manual completion of business tasks was often time-consuming and prone to costly errors, leading to lower productivity and decreased profitability. Fast forward to 2023, businesses all around the world are turning to technology to streamline their operations, making them more efficient and productive.

How to throw custom exceptions inside Logic Apps: Using default capabilities - Extract failure information (Part II)

Welcome to the second part of this series of blog posts on How to throw custom exceptions inside Logic Apps. In this series of five blogs, I will cover throwing custom exceptions in Logic Apps. I will cover the following topics: In this second approach, we are going to do a small fine-tuning of the previous approach by adding the capability to define custom error messages for each condition and, of course, get that information inside the Catch Scope.

Creating AWS email templates with Handlebars.js and MJML

In the next two posts (maybe more) I'll share how we have developed elmah.io's email templates currently sent out using Amazon Web Services (AWS). This first post will introduce template development using MJML and Handlebars.js. In the next post, I'll explain the process of building them on Azure DevOps and deploying them to AWS.