Software Engineering Insights

Software developers are always on the lookout for reliable open-source infrastructure alternatives for developing and deploying applications. That is where Kubernetes, a cloud-native cluster management software solution, comes in. It provides comprehensive solutions for automated app deployment and interoperability among microservices.

For handling complex client-server environments, IT teams swear by the trails provided by logs and metrics data. These trails have a proven record in significantly reducing the Time to Detect (TTD), Time to Mitigate (TTM), and Time to Remediate (TTR) whenever the server or the environment behaves sub-optimally. 

Let’s imagine a situation. There is an eCommerce app that’s receiving high traffic during sales. It was observed that the load balancer wasn’t working as expected, thereby affecting the application performance and consumers’ buying experience as well. 

For more than a decade now, DevOps has been bringing the development and IT teams together to release better software, faster. Despite its relative maturity, this practice still confronts roadblocks that hinder its progress.

The Agile development teams are frequently releasing application updates. To avoid delays or failures, they focus on every aspect of the delivery cycle. The DevOps team has started involving the database code in CI/CD pipeline, which was earlier limited to application code only. By doing this, it is ensured that changes in the DB (new features, updates, or bug fixes) reach users as fast as possible.

Biotech and pharmaceutical companies are required to comply with regulations enforced by the US Food and Drug Administration (FDA). Among these regulations is the Current Good Manufacturing Practice (CGMP) which governs the quality control of not just manufacturing practices and facilities but also the technology components of the drug production process.

It’s been more than a decade that DevOps as a practice has been bridging the gap between the development and operations teams. It’s breaking down the silos between the two and automating the delivery cycle. Just like we implement DevOps to the delivery pipeline (to deal with the varying development environment), it is time that we start doing the same for databases.

The COVID-19 pandemic accelerated the digitization of business processes. While numerous tools supported rapid digitization, it somewhere impacted security, observability, traceability, and compliance of the digital solutions.

To understand event-driven automation we first need to define what is an event? As per the Information Technology Infrastructure Library (ITIL), an event is a change of state that holds importance for the management of an IT service or other Configuration Item (CI).

The concept of DevOps is now popular owing to its importance in a cloud-based environment that involves automation for the testing and deployment of software builds. When development and operations teams are not able to communicate well with