The DevOps working model is a software development methodology that seeks to tightly integrate development (Dev) and operations (Ops) activities in a continuous cycle of delivery and improvement. Its main objective is to increase the efficiency and quality of software development, as well as to accelerate the delivery of products and services to the market.
The DevOps philosophy seeks to eliminate the traditional barriers that exist between these two groups and encourage collaboration and knowledge sharing. Instead of having development and operations teams working in isolation and in sequence, the DevOps approach promotes continuous integration and cooperation. By eliminating the siloed of work model, faster and more agile development cycles are produced in order to respond agility to market needs.
At Datadope we help organizations to build a culture of measurement and observability, which in turn provides rapid feedback on operational changes to support the speed and agility of development. With the data obtained through IOMetrics, all teams across the organization will be able to monitor application performance data, capacity, infrastructure and business KPIs. All on the same platform.
One of the core principles of DevOps is automation, which helps to speed up development workflows, eliminate error-prone manual processes, and free up technical staff to focus on improving performance and developing new features. With IOMetrics, we gain complete visibility into the status and performance of the various tools in the development the DevOps toolchain. This ensures that organizations can make sure that their CI/CD systems, configuration management tools and orchestration platforms are performing as expected.
Because DevOps practices emphasize cross-team collaboration, it is critical that engineers understand not only the systems they directly manage, but also how they are connected to each other, and their interdependencies. At Datadope, through the use of IOMETRICS®, we have been able to centralize the logs, metrics and traces of each application and infrastructure component across the organization. This allows teams to view and analyze all the data relevant to them. Using tools such as the service map and network map, developers can track in real time the flow of data between services and infrastructure components, which gives them a comprehensive understanding of an application’s architecture and dependencies.