7 customisable OKR examples for Infrastructure Architect
What are Infrastructure Architect OKRs?
The Objective and Key Results (OKR) framework is a simple goal-setting methodology that was introduced at Intel by Andy Grove in the 70s. It became popular after John Doerr introduced it to Google in the 90s, and it's now used by teams of all sizes to set and track ambitious goals at scale.
Formulating strong OKRs can be a complex endeavor, particularly for first-timers. Prioritizing outcomes over projects is crucial when developing your plans.
We've tailored a list of OKRs examples for Infrastructure Architect to help you. You can look at any of the templates below to get some inspiration for your own goals.
If you want to learn more about the framework, you can read our OKR guide online.
Building your own Infrastructure Architect OKRs with AI
While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI generator below or our more complete goal-setting system to generate your own OKRs.
Our customisable Infrastructure Architect OKRs examples
You'll find below a list of Objectives and Key Results templates for Infrastructure Architect. We also included strategic projects for each template to make it easier to understand the difference between key results and projects.
Hope you'll find this helpful!
1. OKRs to consolidate and streamline server infrastructure
Consolidate and streamline server infrastructure
Create comprehensive upgrade plan for remaining servers
Analyze necessary improvements for each server
Identify all servers that require an upgrade
Sketch a detailed upgrade timeline
Implement updated server technology in 40% of systems
Identify the systems suitable for updated server technology
Commence 40% system upgrade with updated server technology
Prepare servers for technology upgrades in chosen systems
Reduce active servers by 15% without impacting performance
Execute server consolidation without affecting user experience
Identify least-occupied servers and potential consolidation opportunities
Monitor server performance regularly post-consolidation
2. OKRs to implement efficient cloud automation systems
Implement efficient cloud automation systems
Achieve 90% successful automation tests by the final month
Regularly review and improve test automation scripts
Implement efficient testing tools and procedures
Develop clear, precise automated testing criteria
Develop and implement at least two cloud automation tools or software by end of quarter
Implement and test cloud automation tools
Select two optimal automation tools for implementation
Research various cloud automation tools suitable for business needs
Reduce manual cloud configuration tasks by 60% through automation implementation
Develop suitable automated processes for identified tasks
Implement and test automated processes
Identify repetitive, manual cloud configuration procedures
3. OKRs to efficiently migrate services and databases to Google Cloud
Efficiently migrate services and databases to Google Cloud
Achieve minimal downtime during the migration process
Conduct regular communication regarding the migration process with all relevant stakeholders
Perform a thorough assessment of the existing infrastructure and identify potential issues
Develop a detailed migration plan with clear timelines and allocated resources
Implement redundancy measures and backup systems to minimize the impact of any disruptions
Optimize costs by analyzing and implementing cost-effective solutions in Google Cloud
Identify and eliminate any unnecessary services or resources to reduce expenses
Regularly monitor and review cost reports and adjust strategies accordingly
Research and implement more cost-effective alternatives or optimized configurations for existing services
Conduct a thorough analysis of current Google Cloud services and associated costs
Ensure seamless data migration from existing databases to Google Cloud
Perform necessary data cleansing and transformation to ensure compatibility with Google Cloud
Assess current database structure and data volume for smooth migration planning
Create a detailed data migration strategy outlining steps, tools, and timelines
Execute step-by-step migration process, verifying data integrity and minimizing downtime
Successfully migrate all services from current platform to Google Cloud
4. OKRs to boost SOC efficiency via AI enhancements and automation implementation
Boost SOC efficiency via AI enhancements and automation implementation
Train all SOC personnel on new AI and automation systems to increase proficiency by 50%
Develop comprehensive training modules on new AI systems
Implement training sessions and measure proficiency increase
Identify AI and automation training needs of all SOC personnel
Develop and integrate at least 2 AI-powered threat detection mechanisms into the SOC
Identify two suitable AI-powered threat detection systems
Implement and test integration of AI systems in SOC
Design integration strategy for the chosen AI systems
Decrease response time to identified threats by 30% through automated protocols
Optimize network infrastructure for speedy threat resolution
Implement AI-based threat detection tools for real-time alerting
Train staff on new automated threat response protocols
5. OKRs to streamline data architecture to enhance overall efficiency and decision-making
Streamline data architecture to enhance overall efficiency and decision-making
Improve data governance framework to ensure data quality and compliance
Identify and rectify gaps in the current data governance policies
Implement regular compliance checks and audits for data management
Develop comprehensive data quality standards and measurement metrics
Enhance data infrastructure scalability to support future growth and evolving needs
Implement scalable data management solutions
Monitor and adjust scalability strategies regularly
Evaluate current data infrastructure strengths and limitations
Increase data integration automation to reduce manual efforts by 30%
Implement automation software to streamline data integration
Monitor and assess efficiency improvements post-implementation
Evaluate existing data integration processes and identify manual efforts
6. OKRs to develop a scalable architecture for a video streaming platform
Develop a scalable architecture for a video streaming platform
Integrate a monitoring system to ensure 99.99% platform availability and uptime
Achieve an average video load time of 3 seconds or less for 95% of users
Increase platform's streaming capacity by 30% to accommodate higher user traffic
Conduct load testing and identify performance bottlenecks to optimize streaming capacity
Implement content delivery network (CDN) to distribute traffic and reduce latency
Optimize server configurations to increase platform's streaming capacity by 30%
Upgrade network infrastructure for improved bandwidth and faster streaming capabilities
Implement a distributed storage solution to reduce data retrieval time by 20%
Design and develop a robust distributed storage architecture
Implement and thoroughly test the chosen distributed storage solution
Research and identify suitable distributed storage solutions
Conduct a thorough analysis of the current storage system
7. OKRs to successfully transition from monolith to microservices architecture
Successfully transition from monolith to microservices architecture
Implement the new architecture in a test environment and ensure 98% uptime
Record and resolve any occurring downtime issues
Monitor and maintain a 98% uptime
Set up new architecture in a test environment
Develop and document a detailed migration plan by week 4
Begin drafting migration plan documentations
Determine the timeline and needed resources
Identify applications, services and data for migration
Successfully migrate 75% of application modules to microservices architecture
Prioritize modules based on dependencies and business needs for migration
Begin progressive implementation of migration, monitoring progress continuously
Develop a comprehensive microservices migration strategy and blueprint
Infrastructure Architect OKR best practices to boost success
Generally speaking, your objectives should be ambitious yet achievable, and your key results should be measurable and time-bound (using the SMART framework can be helpful). It is also recommended to list strategic initiatives under your key results, as it'll help you avoid the common mistake of listing projects in your KRs.
Here are a couple of best practices extracted from our OKR implementation guide 👇
Tip #1: Limit the number of key results
The #1 role of OKRs is to help you and your team focus on what really matters. Business-as-usual activities will still be happening, but you do not need to track your entire roadmap in the OKRs.
We recommend having 3-4 objectives, and 3-4 key results per objective. A platform like Tability can run audits on your data to help you identify the plans that have too many goals.
![Tability Insights Dashboard](https://tability-templates-v2.vercel.app/_next/static/media/tability-insights-board.e70f9466.png)
Tip #2: Commit to weekly OKR check-ins
Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to get the full value of your OKRs and make your strategy agile – otherwise this is nothing more than a reporting exercise.
Being able to see trends for your key results will also keep yourself honest.
![Tability Insights Dashboard](https://tability-templates-v2.vercel.app/_next/static/media/checkins-graph.b2aec458.png)
Tip #3: No more than 2 yellow statuses in a row
Yes, this is another tip for goal-tracking instead of goal-setting (but you'll get plenty of OKR examples above). But, once you have your goals defined, it will be your ability to keep the right sense of urgency that will make the difference.
As a rule of thumb, it's best to avoid having more than 2 yellow/at risk statuses in a row.
Make a call on the 3rd update. You should be either back on track, or off track. This sounds harsh but it's the best way to signal risks early enough to fix things.
How to turn your Infrastructure Architect OKRs in a strategy map
Your quarterly OKRs should be tracked weekly in order to get all the benefits of the OKRs framework. Reviewing progress periodically has several advantages:
- It brings the goals back to the top of the mind
- It will highlight poorly set OKRs
- It will surface execution risks
- It improves transparency and accountability
Spreadsheets are enough to get started. Then, once you need to scale you can use a proper OKR platform to make things easier.
![A strategy map in Tability](https://tability-templates-v2.vercel.app/_next/static/media/tability_strategy_map.2ad25843.png)
If you're not yet set on a tool, you can check out the 5 best OKR tracking templates guide to find the best way to monitor progress during the quarter.
More Infrastructure Architect OKR templates
We have more templates to help you draft your team goals and OKRs.
OKRs to enhance product functionality by adding three new features based on user feedback
OKRs to enhance client engagement post-representative visit
OKRs to design and launch a production unit application
OKRs to optimize pricing strategies for increased revenue and market share
OKRs to ensure consistent project progress
OKRs to implement the new onboarding program to speed up deal closure time
OKRs resources
Here are a list of resources to help you adopt the Objectives and Key Results framework.
- To learn: What is the meaning of OKRs
- Blog posts: ODT Blog
- Success metrics: KPIs examples
What's next? Try Tability's goal-setting AI
You can create an iterate on your OKRs using Tability's unique goal-setting AI.
Watch the demo below, then hop on the platform for a free trial.