Operations | Monitoring | ITSM | DevOps | Cloud

The DevOps practice of continuous integration and continuous deployment (CI/CD) improves software delivery. CI/CD platforms monitor and automate the application development process ensuring a better application, faster. CI/CD pipelines build code, run tests, and deploy a production-ready version of an application that has passed all automated checks.

Managing source code with a defined method is one vital aspect of implementing effective application development. Today, two strategies for doing this stand above the rest: trunk-based development and GitFlow. Choosing the proper method for source code control is often dependent upon several factors, such as: In this article, let’s define and compare trunk-based development and GitFlow, look at the factors that drive an organization’s decision between the two.

Many companies like all their API calls to external services routed through Azure API Management (APIM). If you are a user of Serverless360 BAM, then one of the options is to use Azure API Management as a proxy to your BAM API and then use APIM from within Logic Apps.

There are a variety of different connectivity models available to enterprises as they embark further on their cloud journey. In this blog, we take a look at which model could suit your business best...

A tool that aids in automating the software development process is called DevOps Tool. It largely concentrates on interaction and cooperation between experts in product management, software development, and operations. A DevOps solution also enables teams to automate the majority of software development procedures including build, conflict management, dependency management, deployment, etc. and lessens human labour.

With HAProxy situated in front of their servers, many people leverage it as a frontline component for enabling extra security and observability for their networks. HAProxy provides a way to monitor the number of TCP connections, the rate of HTTP requests, the number of application errors and the like, which you can use to detect anomalous behavior, enforce rate limits, and catch application-related problems early.

In the beginning, companies and cloud cost management vendors focused on reducing the absolute cost of the cloud. That would be the equivalent of solely focusing on the total cost of a sales organization versus considering how much new revenue they were booking, or the productivity of the sales team or the cost of customer acquisition. As cloud spend followed its rapid growth trajectory, curbing it most often relied on discounts.