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Marlo Vernon April 22, 2019DevOps
According to Gartner, more than 50% of new business platforms will use continuous intelligence in their systems by 2020, using real-time contextual data to improve their decision-making process. But first, what is continuous intelligence? And, what does it provide to software development, IT operations and business teams?
We live in a world where software companies quickly become obsolete by consistently failing to address bad decisions and customer needs. Continuous intelligence is a business-saving technique that helps enterprises analyze data in real-time from previous experiences and use it to optimize incident response time, facilitate faster software delivery and drive overall growth.
Continuous intelligence employs analytics (and sometimes machine learning) to constantly analyze data and automatically improve development and operations techniques. Continuous intelligence driven by continuous delivery has enabled enterprises to attain hands-on expertise with predictive analytics, autonomic computing, AIOps and robotic process automation (RPA). These technologies allow companies to continuously deliver value, track project objectives and enhance overall performance.
More and more organizations are embracing DevOps as their prime methodology for software delivery. DevOps processes and the maintenance of a CI/CD pipeline ultimately produces massive amounts of logs that are difficult to be handled by legacy monitoring tools in a distributed stack.
Also, with modern microservices and the incapability of existing tools to be integrated across new container-based environments, application monitoring has become largely complex. Users have become more time-centric and expect fixes and updates at lightning speed. With a prolonged time to fix bugs, stakeholders risk losing customers to their competitors.
In order to detect and recover from failures quickly and efficiently, your DevOps team requires real-time monitoring and predictive analytics to avoid unanticipated or unwanted incidents. They need monitoring tools that can provide them with continuous intelligence – real-time analytics and greater visibility across the pipeline. These tools should be easily scalable, must execute predictive algorithms and should have the potential to be integrated with the existing DevOps tools.
Continuous intelligence in DevOps has one common goal – fix issues faster. Improving the delivery process and incident management workflows will lead to more robust architecture and services.
Let’s look at some of the ways continuous intelligence can impact your software delivery and incident management in a DevOps environment:
Continuous intelligence unifies your log analytics, monitoring and reporting to help you make better business and engineering decisions. Continuous intelligence enables you to optimize incident recovery time, incorporate faster solutions and improve software delivery.
Implementing real-time actionable insights from continuous intelligence throughout your delivery pipeline will expedite release cycles. Identifying and monitoring new changes can help you get rid of bottlenecks and execute processes faster. You can also keep a check on the success rate of your deployments, get insights into cycle times and filter out processes that are negatively impacting the delivery pipeline. Continuous intelligence alongside effective release management tools will help you deliver reliable services faster.
With continuous intelligence in DevOps, you get real-time visibility into processes – enabling you to analyze real issues in the delivery process. It also enables managers and other high-level stakeholders to track the progress of projects and analyze the value driven by specific activities. This helps DevOps teams identify weaknesses and take necessary steps to improve workflows and level up performance.
Continuous intelligence in DevOps enables open feedback loops that lead to faster innovation. Rapid feedback loops allow you to quickly change processes and develop more features aligned with customer expectations. Along with continous deployments, continuous intelligence dictates that some percentage of the roadmap be devoted to ongoing improvements to current systems and processes. This breakdown of responsibilities improves the speed and reliability of software and aligns operations to meet your dynamic customer expectations.
With direct access to the real-time data of your applications, people and processes, you can analyze previous datasets to proactively detect the occurrence of an incident beforehand.
With continuous intelligence in DevOps, the ability to deliver maximum business value is greatly enhanced. As companies explore the efficiencies of DevOps, they are driven toward a fully automated infrastructure that accommodates and constantly analyzes data with continuous intelligence – turning data into actionable insights.
Hence, the right implementation of continuous intelligence in a DevOps environment enhances the overall capability of enterprises to address their incident management and software delivery needs in a short timeframe.
Bottom line, continuous intelligence in DevOps helps you analyze and correlate data throughout the software delivery process, providing real-time visibility and actionable insight for faster, customer-focused software delivery.
See how you can implement continuous intelligence and DevOps to the software delivery and incident management lifecycle. Download our latest free eBook, Why DevOps Matters, to start driving efficiency across all of engineering and IT.