Kotlin sure has been receiving a lot of buzz lately, is there something to it? Developed by JetBrains, Kotlin has been catching on lately because of its null safety guarantees, functional nature, type inference, full interoperability with Java, cross-platform support, and ease of use with Android and Spring. Is this something you and your team should considering spending time to learn?
In this session we will go over what Kotlin is, what problems it solves, and what makes it stand out from other JVM languages. You’ll come away with enough knowledge to decide if this is something you and your team should consider adopting.
Is Kotlin right for you?
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How to redesign your architecture to reduce technical debt
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Four things you need to know from ‘Using open source safely and effectively’
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How to empower your open source users and contributors
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Four ways to empower your team through data
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How technologists can reduce our ecological footprint
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How to manage toil as you scale
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The principles and habits of healthy software
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How to build software that’s ready for the handoff
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Top 10 ideas to take into 2022
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Using Open Source safely and effectively
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Executing and evaluating a technical strategy at scale
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How low (level) can you go
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Learnings from 'Carving a modern engineering org out of an enterprise’
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Building security into your engineering workflow
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Scaling engineering in tough times
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Outages are coming for you
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Getting your engineers on board with observability
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Building a successful and sustainable CI/CD pipeline
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Making ‘Big Changes’ Successfully
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Forging the path to faster shipping in enterprise orgs
When planning long-term, favor accuracy over precision
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Best practice for seamless product integration
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Sourcing the perfect product for your team
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Laying the foundations for a successful build
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A terrible, horrible, no-good, very bad day at Slack
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Serverless is the new LAMP stack
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Living with legacy: landing boring change smoothly
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Fostering a sustainable scaling strategy
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Accelerating the journey from monolith to microservices
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Weighing up the pros and cons of build vs buy
Reliability and more: preventing a crisis in engineering production
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Driving inclusion with explainable artificial intelligence
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Carving a modern engineering org out of an enterprise
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Strategies for inclusive product design
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The migration trap in software engineering
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The thin line between technology advocacy and ideology
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To build, or to buy, that is the question
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How to fix a terrible on-call system
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Designing for money and happiness in large-scale open source
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Five ways data make engineering teams stronger
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Carbon proxies: measuring the greenness of your application
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Four key metrics for measuring DevOps success
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Measuring and improving the efficiency of software delivery
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Managing technical risk
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Conversations you need to have before moving from monoliths to microservices
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Creating technology products that your customers love
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Cheerful deployments with CI/CD pipelines
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Learnings from 'Tackling technical debt'
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Learnings from 'Managing complexity at scale'
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What VCs want us to know as technical leaders
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Creating, defining, and refining an effective tech strategy
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ICON Framework: Creating Value From Machine Learning
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A tour of decisions in event-driven architecture
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Streamlining the management of multiple websites and apps
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Embracing simplicity in your engineering team
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Evaluating when it’s time to tackle technical debt
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Gathering requirements: techniques for building a solid backlog
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Delivering frontend experiences safely and continuously
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Getting GitOps right
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Learnings from 'Maintaining speed while minimizing risk'
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Building realistic roadmaps for tech debt cleanup
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Achieving speed and quality without sacrifice in engineering
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Measuring app stability to reduce technical debt
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Implementing a plan to clean up technical debt
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Scaling held knowledge to unblock teams and untangle software complexity
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How to unify speed and quality in software engineering
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Writing accessible code
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Working in public: Nadia Eghbal in conversation
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![Suzan Bond](https://res.cloudinary.com/leaddev/image/upload/q_100,c_fill,g_auto:classic,e_sharpen,h_100,w_100/prod/sites/default/files/contributors/2024-02/Suzan Bond.png)
How to adapt your UI testing strategy to your product's stage
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Accessibility from the start
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A primer on engineering delivery metrics
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Better Allies: Karen Catlin in conversation
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Hypothesis-driven development
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How demand shaping can reduce the carbon cost of our applications
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The problem with "the platform"
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How simplifying software can save your engineering teams' time
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Changing attitudes toward legacy code
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Supporting employees through redundancies and business closures
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Living without pre-production environments
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Scaling at the speed of COVID-19: lessons from the front lines of virtual healthcare
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The Boring Stack
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Avoiding “shiny object” syndrome when building software
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Investing in your accessibility workflow
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Avoiding the pitfalls of rebuilding software
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Building and conveying vision
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![Neha Batra](https://res.cloudinary.com/leaddev/image/upload/q_100,c_fill,g_auto:classic,e_sharpen,h_100,w_100/prod/sites/default/files/contributors/2024-02/Neha Batra.png)
Tradeoffs on the road to observability
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Lessons for frontend development at scale
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Handling security issues as an engineering team
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Introduction to functional programming
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Using an 'architectural North Star' to align your engineering team with your organization
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The benefits of delivering imperfect software
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Building a culture of security for your infrastructure teams
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Navigating front-end architecture like a Neopian
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Mobile development 10 years on: native vs. cross-platform
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Shor's algorithm and how to avoid oncoming catastrophes
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Rejecting the black box: examining the implications and practicalities of testing AI
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Identifying and articulating the role of AI in your software design process
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The possibility of AI-powered Javascript apps
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Breaking down our understanding of system resilience
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Documenting and communicating architectural decisions
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Principles for managing product quality
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The future of cross-platform is native
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Using observability to detangle and understand production
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Designing software to maximize developer productivity
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Vault and Security as a Service
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Dealing with deprecated codebases
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Case studies in building microservices
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Intro to test-driven development
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The Container Operator's Manual
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Developing Single Page Apps in mid-sized companies
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Legacy code: Big Rewrite or Progressive Rejuvenation?
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An intro to functional programming
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Strategies to Edit Production Data
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Creating Architecture and Teams at Less-than-Google Scale
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Traps on the Path to Microservices
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Improving Reliability with Error Budgets and Site Reliability Engineering
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Everything You Need to Know About OpenAPI 3.0 in Ten Minutes or Less
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Traps on the Path to Microservices
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Better Incident Management to Reduce MTTR
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Universal Apps: Architecture for the Modern Web
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Planning, executing, and landing refactoring
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Starting, executing, and landing big rewrites
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Creating observable microservices
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The challenges and rewards of distributed teams
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![Glenn Vanderburg](https://res.cloudinary.com/leaddev/image/upload/q_100,c_fill,g_auto:classic,e_sharpen,h_100,w_100/prod/sites/default/files/contributors/2021-01/Glenn Vanderburg.png)
How to build a fully serverless application
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What engineering leaders need to know about blockchain
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Building Tech for the Non-Technical
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The journey from monolith to microservices
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Telling stories through your commits
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Writing Modular CSS with CSS modules
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The importance of pragmatism when building and maintaining systems
![Sam Lambert](https://res.cloudinary.com/leaddev/image/upload/q_100,c_fill,g_auto:classic,e_sharpen,h_100,w_100/prod/sites/default/files/contributors/2021-01/Sam Lambert.png)
The technical journey to microservices
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Building replicable dev environments with Docker
![GRAHAM GILCHRIST](https://res.cloudinary.com/leaddev/image/upload/q_100,c_fill,g_auto:classic,e_sharpen,h_100,w_100/prod/sites/default/files/contributors/2021-01/400x400 PINK Contributor treated images (1).png)
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