Software Engineering Insights

Advancing user requirements and the need for tighter security measures across the internet is making it crucial to shift from monolithic to DevOps-based software development. Additionally, microservices architecture is finding an essential role to play in this shift. Amidst all these developments, it is important to consider the need for boosting transparency through better DevOps observability for microservices.

The emergence of the Continuous Integration/Continuous Deployment (CI/CD) pipeline has been a major game-changer in the software development sphere. It allows businesses to meet rapidly-evolving requirements and ensure steady growth by enabling continuous innovation at scale.

Is your team struggling to gain visibility into the performance, availability, and health of cloud applications & infrastructure? Do you need to automate cloud monitoring so that your team focuses on its core competency? If yes, then this guide will introduce you to the business-critical components of cloud monitoring and how you can leverage them to ensure automation & efficiency in operations. 

The current IT landscape necessitates faster development and delivery of software products as well as better collaboration between IT and operations teams. While DevOps offers the exact methodology for this, its implementation for the full automation of the software deployment pipeline requires optimal management of the processes and resources involved.

Businesses are shifting their IT infrastructure to the cloud for the certain benefits that this new era of computing has. While cost, compliance, and performance are some of the obvious reasons for the change, a large share of the business community has failed to realize these gains. 

With the continuous development in DevOps practice and its unparalleled benefits, now every organization wants to embed it in their software development lifecycle to make the deployment of software even faster and more efficient.

As software development gets complex, we see cross-functional teams collaborating to enable faster product delivery, optimize cost, manage infrastructure, and for several business benefits. An example of such a joint effort is ‘Cloud FinOps’ wherein finance, engineering, technology, and business teams aim at cloud financial management. 

The SaaS software development domain is perpetually transforming in terms of environment, orchestration, scaling, and management. One of the most important developments to occur in this field is the introduction of the "run anywhere" paradigm that came with virtual machines, followed by Containers, and further revolutionized by Container-as-a-Service (CaaS) solutions.

As a Chief Technology Officer (CTO) of an organization, who is either driving the technology team of a startup or leading IT operations in a megacorp; continuously innovating is the goal. 

If you’re leading the software engineering cycle of a product or a software development firm, then the struggle to get answers to the following questions must be constant.

The software development and delivery pipeline of DevOps, also referred to as the CI/CD pipeline, ensures that market-ready software products are released for public use faster. Continuous Testing is a set of evaluation procedures in the DevOps pipeline meant to ensure the product's quality and to enhance the reliability of the outcome.