The market demand for custom application development has grown five times faster than the internal IT organization’s capacity to deliver them. There is a continuous struggle to stay proactive against competitive pressure, resulting in a development cycle that is more tactical than strategic.
Cloud infrastructure is one of the sought after approaches for managing CapEx and OpEx costs for businesses at the initial stage. But, as the business expands, the cloud services inflates in number as well. More the services, the more would be the cost to the provider. Amidst this, how can companies ensure that their cloud infrastructure proves cost-effective along with performance-oriented? The answer is by optimizing the cloud infrastructure for cost.
When legacy systems hold back the business growth, IT teams race to modernize the existing solutions, thereby creating new business value out of them. The process involves technical or functional improvements, which may range anywhere between rewriting code, migration to a different platform, changing the architecture, or even replacing the entire system with a newer one.
Software Reliability Engineering and DevOps are two sought after disciplines, trying to maintain a balance between the software engineering and operations team. Since both approaches seem to sort similar problems, there is confusion if they are similar or can be used interchangeably.
The modern approach to software development needs more focus on application than infrastructure. This has lead to the introduction of new technologies and platforms that can help in the auto-management of infrastructure. One of the popular approaches that has gained grounds in this concern is software containers.
With cloud becoming the buzzword of the IT industry, a number of strategies are being introduced to help businesses make the most of it. Hybrid cloud and multi-cloud are two cloud architectures that offer flexibility to avail benefits of cloud computing.
In the age of digitization, data has become the real driver of businesses. The data, collected from different sources is turned into information and further into an insight that helps businesses to thrive. But, as the data flows through multiple sources, it is difficult for the traditional, relational database to handle it.
Digital transformation is the catchword these days. Amid the rising competition and market demand, it is critical for businesses to maintain agility. Thus, there is a shift from on-premises infrastructure to cloud for optimizing operational cost, build scalable solutions, improve disaster recovery & high availability, follow compliances, and more.
The total installed base of the Internet of Things (IoT) connected devices is over 6 billion in the year 2019. With so many connected devices existing already, it's becoming a challenge to process an enormous amount of data generated by these devices.
DevOps is a buzzword in the software development industry. There is increased adoption of DevOps culture for simplifying and automating the SDLC cycle.
While DevOps practices are applicable at each stage of software development, continuous integration (CI) and continuous deployment (CD) are considered as the crux of it. These practices enable the development and operations team to coordinate, ensuring that frequent product releases and changes are committed to the production.