In this blog post, I will discuss the “Three Ways,” which are actually the principles through which all of the DevOps patterns can be derived. We emphasize that these three ways illustrate the values that further frames the practices and procedures of DevOps along with its prescriptive steps. We will also see how AppDynamics can offer real value across the different business divisions and production support teams in an organization.
A) The First Way – Systems Thinking
The First Way put emphasis on the performance of the complete system, as a contrast to the performance of anexplicit silo of work or department — this as can be a large Development or IT Operations division and even an individual contributor like a system administrator or a developer.
As contrasting to silo solutions, AppDynamics offers value transverselyto the business and production support teams in an organization. By enabling a single platform capability, AppDynamics provides data-driven collaboration in an organization.
Coming back to the DevOps organized environments, it’s imperative to recognize and provide support to the cross-functional stakeholders who will be the actual consumers and decision makers of an AppDynamics offering:
- Business Teams: Product, Marketing and Sales departments need application performance, quality and insights through systems which can be made available through AppDynamics.
- Development Teams:Developers can use AppDynamics to verifydefects, code hot-spots, and integration challenges transverselyto distributed services.
- Performance Engineers:They can utilize AppDynamics to get deep-dive insightson the application performance underneath test load and compare test executions across releases or sprints.
- Release Engineers:They can utilize AppDynamics to authenticate quality and verify if a release candidate needs to be deployed or not. The release engineering teams can also leverage AppDynamics to evaluate application performance across releases.
- Operations &ProductionSupport Teams: They utilize AppDynamics to track performanceand proactively get alerts on problemsto isolate as well as diagnose the production issues swiftly.
B) The Second Way – Amplifying Feedback Loops
The Second Way enables building the right to left feedback loops. The objective of all the process improvement initiatives is to amplify feedback loops so that essential corrections can be constantly made.
In addition to usual operational use-cases relatingto identifying, isolating, and diagnosing issues, it’s key to stress how AppDynamics offers real-time insights on the overall health, accessibility, and performance of customer’s technology and business dealings. DevOps stresses the significance of data-driven transformations and AppDynamics can enable information across the stack providing the customers with real-time insights to understand the impact of transformations and changes along with prioritizingthe next-steps.
Eventually, we at XMPlify want to focus on how our clientscan benefit from AppDynamics offerings:
- Facilitate data-driven decisions on a real-time basis across the business and IT operations
- Reduce cycle time by offering deep visibility and enabling operations, development, and test teams to swiftly identify, isolate, and diagnose issues with a greater level of precision
- Boost release quality by offering deep dive analysis and diagnostics capabilities, eventuallydipping defect leakage into production
- Build a real-time feedback loop by offering data on the health, accessibility and performance of the business and IT operations
AppDynamics Release Comparison Feedback Loop with a Use Case
AppDynamics release comparison builds a real-time feedback loop empoweringclients to quantify the impact of their system alterations. With AppDynamics, our clients can make data-driven decisions on the quality of their alterations and any probable next steps.
If issues are found, AppDynamics can right away isolate the business functions and technical componentssourcing the impact. This facilitates our team to not only know when something happens but diminish the cycle time of conventional investigation by instantaneously engaging with the involved development or DBAteams.
AppDynamics deep source line of code diagnostic capabilities empowers our customers to rapidly and precisely diagnose a root-cause failure in production as well as pre-production environments. This level of detailing is crucial to reduce cycle time beforehandstretched out by far-reaching troubleshooting sessions, trim down defect leakage by resolving quality problems earlier in the software lifecycle, and enable anenhanced focus on development innovation. This reduces the time the development teams invest in troubleshooting and other tasks.
C) The Third Way – Culture of Continual Experimentation
The Third Way is about building a culture that advances two things: continual experimentation, taking risks and insights from the failure; and understanding that recurrence and the waysare the requirements to mastery.
AppDynamics Core APM and Business iQ offers visibility and the perspective to quantify the technical and business effects of product experimentation. For instance, as shown in the DevOps demo, AppDynamics is able to enable visibility into the poor business conversion ratesand revenue generation through its marketing systems. AppDynamics Business iQ is utilized to understand the dilemma, and precedence as even it impacts the overall revenue generation.
By isolating the root-cause letdownor failure to a degraded query with a backend MySQL instance, AppDynamics offers XMPlify’s DevOps team with the data they require to experiment with and measure the success of an architectural fix – specifically, the shift to Mongo DB vs. MySQL.
Finally, our team can see that even with approx 1/3 of our users on our v2 codebase, we are observing a significantly higher conversion rate and revenue which optimistically confirms the architecture transformation and great impact on the business conversion goals of our customers.