Provides complete visibility of application and infrastructure performance. This enables development and operations teams to work together more effectively together to improve application the quality and performance.
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.
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.
With Datadope, any user in the organization can evaluate data in the same context with their colleagues, facilitating collaboration and information sharing with just a few clicks. Our platform offers integrations with ticket tracking, chat and incident management tools. This allows teams to share graphs, dashboards, logs and real-time tracking seamlessly across your communication tools. This results in cost reduction by improving the MTTR (Mean Time to Recover), and therefore, drastically reduces the downtime of business processes, such as ecommerce, are drastically reduced.
In short, the DevOps model seeks to integrate software development and operations on a continuous basis to increase efficiency, quality and speed of delivery. At Datadope, through IOMETRICS®, companies can centralize and analyze application and infrastructure performance data. This enables teams to better understand an application’s architecture and dependencies of an application. In addition, our platform facilitates collaboration and information sharing between users, while offering integrations with common communication tools. This improves productivity, reduces downtime and provides a better user experience, as well as increasing the operational efficiency of organizations.
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