Application Rationalization through Google Cloud’s CAMP Framework
Global Solutions Manager
On April 6th, 2022, Google Cloud established a new partnership with CAST, to help accelerate the migration and application modernization programs of customers worldwide, complementing the Google capabilities already available through the Google Cloud Application Modernization Program (CAMP).
Application Rationalization (App Rat) is the first step towards a cloud adoption or migration journey, through which you go over the application inventory to determine which applications should be Retired, Retained, Refactored, Replatformed, or Reimagined.
Why is this important to you?
Have the majority of your in-house applications still not moved to the cloud? How much time does your development team spend on support (bug fix, tickets, etc.) versus feature(s) development? Have Infrastructure/Platform dependencies ever delayed product rollout? Would an auto-scalable, managed cloud, increase stakeholder buy-in?
Can Google simplify this journey?
Google Cloud Application Modernization Program (CAMP) has been designed as an end-to-end framework to help guide organizations through their modernization journey by assessing where they are today, and provide a path forward. When it comes to App Rationalization, this depends on what your role is.
Step 1 (Assess): Who is the target audience? The Platform team (or) the Application team?
This determines what kind of challenges we are trying to solve. For e.g. the centralized platform team wants to set some guardrails on how the App teams deploy their apps. Streamlining this would allow the platform team to mature themselves into the SRE territory. The application team, on the other hand, loves flexibility, and the ability to perform Continuous Delivery.
These examples are only the tip of the iceberg. Most of the enterprise customers have a majority of their applications in the legacy world. Unless we move those business critical applications to the cloud, it’s impossible to mature as an enterprise. For more information, check State of DevOps 2021 report.
Step 2 (Analyze): Google Cloud offers the tooling and the framework to analyze your legacy applications.
Platform Owner (persona), usually have very little information on which workloads are a good fit for modernization.
Google’s StratoZone® SaaS platform provides customers with a data-driven cloud decision framework. The StratoProbe® Data Collector Application delivers the ability to easily deploy and scale the discovery of a customer's IT environment for Private, Public, or Hybrid-cloud planning. To ease and accelerate the VM migration journey, Google Cloud offers assistance and guidance in making the right decisions when deciding to go to cloud.
Google’s mFit aims at unblocking customers in their transformation by providing workload selection for successful on-boarding, at scale, to Anthos, GKE and Cloud Run , in both pre-sales (e.g. proof-of-concept/proof-of-value) and post-sales (e.g. pilot and at scale execution) scenarios.
App and/or Business Owners (persona), get involved in a 1-week workshop, using CAST Highlight, which would provide rapid portfolio assessment through automated source code analysis for Cloud Readiness, Open Source risks, Resiliency, and Agility.
Step 3 (Plan & execute): Each organization is different. Some may follow the “Migration Factory” approach, and some may follow “Modernization Factory”, and some may follow both. Irrespective of which approach you choose to follow, it is important to plan just enough, so that you can start your execution. Ensure to set the OKRs, that would help with the right measurements, before you start the execution. The actual learning from the execution helps the team(s) to learn more about the cloud migration process, and refine it based on their organization.
Using CAST Highlight in the assessment step previously, we get the recommendation for the analyzed applications. From there, for certain workloads, we can use Migrate to Containers, to automate the containerization of suitable workloads. However, there are certain applications that require manual code changes. You have a few options for that,
Step 4 (Measure & reiterate): Measure the progress using the predefined metrics in the previous step. Celebrate the wins. Consistently share the learnings and best practices with the developer community. Pick the next challenge
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Tell us what you’re solving for. A Google Cloud expert will help you find the best solution.