Operations | Monitoring | ITSM | DevOps | Cloud

Picture this. Half of organizations say their cloud bill is too high. And, only three out of ten organizations know exactly where their cloud spend is going. That’s according to the State of Cloud Cost Intelligence Report we released based on a survey of 1,000 engineering and finance professionals. Here’s the thing. This cloud cost management challenge isn’t limited to just a single cloud service provider.

APIs (Application Programming Interfaces) have quietly evolved into the backbone of contemporary business operations, even though it's ironic that most people use APIs without even realizing it. For instance, you're ordering your favorite takeaway online; you tap the payment button, and voilà! Through APIs, your payment information swiftly traverses the digital landscape, promptly reflecting the adjustment in your credit card balance.

As cloud adoption accelerates, managed service providers (MSPs) have a major opportunity to capitalize on this trend by reselling Amazon Web Services (AWS). Becoming an AWS reseller allows MSPs to expand their service offerings, achieve recurring revenue, and solidify their status as cloud experts. This comprehensive guide will walk through everything MSPs need to know to successfully start reselling AWS services.

As Microsoft Azure continues its rapid growth, becoming an Azure reseller presents a major opportunity for managed service providers (MSPs) to expand their offerings and drive recurring revenue. This comprehensive guide will walk through everything MSPs need to know to successfully start reselling Azure services.

Unit testing is most often used for testing business logic. But what if you want to ensure that your code logs important messages to your log store? In this post, I'll introduce you to FakeLogger and how it can be used to test logging code when using Microsoft.Extensions.Logging and the ILogger interface. So, let's start by discussing why to even unit-test logging code. Adding good logging to your code is an often forgotten or down-prioritized practice.

Modern applications are rarely created entirely from scratch. Instead, they rely on a framework of pre-existing applications and services, each adding specific features and functionality. These dependencies empower teams to build and deploy applications more efficiently, but they bring their own set of challenges. Tracking, managing, and updating these dependencies is difficult, especially in large, complex applications where dependencies are likely managed by different teams.

In this article, we will explore how Dock is working to significantly enhance its response time to critical incidents, emphasizing effective integration between tools as key to success. We will address how we challenge the conventional approach by shifting the focus from Mean Time to Acknowledge (MTTA) to Mean Time to Combat (MTTC), a customized metric that measures the time between incident detection and effective communication involving professionals capable of resolving it.