Podcast for developers, testers, SREs… and their managers. I explain complex and convoluted technologies in a clear way, avoiding buzzwords and hype. Never longer than 4 minutes and 16 seconds.
Because software development does not require hours of lectures, dev advocates’ slide decks and hand waving. For those of you, who want to combat FOMO, while brushing your teeth. 256 seconds is plenty of time. If I can’t explain something within this time frame, it’s either too complex, or I don’t understand it myself.
Hosted by Tomasz Nurkiewicz. Java Champion, CTO, trainer, O’Reilly author, blogger.
- #97: Ruby: help every programmer to be productive and to be happy
- #96: Border Gateway Protocol: the duct tape that makes the Internet work
- #95: SQLite: the most ubiquitous database on the planet. And beyond!
- #94: Scala: language with academic background and huge industry adoption
- #93: K-means clustering: machine learning algorithm to easily split observations into multiple buckets
- #92: Clojure: a languages that will change the way you think about programming
- #91: Asynchronous communication: loose coupling in distributed systems
- #90: Mastodon: next-generation, open source social network
- #89: RabbitMQ: A proven message broker for asynchronous communication
- #88: SLI, SLO and SLA: a number, a threshold and a legal document respectively
- #87: Artificial neural networks: imitating human brain to solve problems like humans
- #86: Proof of stake: how to cut global energy usage by 0.2%
- #85: Genetic algorithm: natural selection helps to solve coding problems
- #84: Non-fungible token (NFT): digital, decentralized art market
- #83: Real-time bidding: how online tracking helps serving ads
- #82: MongoDB: the most popular NoSQL database
- #81: Quarkus: supersonic, subatomic Java (guest: Holly Cummins)
- #80: Ethereum: a distributed virtual machine for exchanging money and bored apes
- #79: QUIC: what makes HTTP/3 faster
- #78: Stuxnet: computer virus that you can admire
- #77: DDoS: take down a server, one request at a time
- #76: 12th Factor App: portable and resilient services start here. Part 8-12/12
- #75: 12th Factor App: portable and resilient services start here. Part 1-7/12
- #74: SOAP: (not really) Simple Object Access Protocol
- #73: Neo4j: all your data as a graph?
- #72: React.js: library that won frontends?
- #71: Erlang: let it crash!
- #70: CRDT: Conflict-free Replicated Data Type (guest: Martin Kleppmann)
- #69: DevOps: not a job position, but culture and mindset
- #68: ACID transactions: don't corrupt your data
- #67: Version control systems: auditing source code, tracking bugs and experimenting
- #66: Aspect-oriented programming: another level of code modularization
- #65: Zero Downtime deployment: If it hurts, do it more often
- #64: TypeScript: will it entirely replace JavaScript?
- #63: Logging libraries: auditing and troubleshooting your application
- #62: Object-relational mapping: hiding vs. introducing complexity
- #61: Spring framework: 2 decades of building Java applications
- #60: Haskell: purely functional and statically typed programming language
- #59: How compilers work: from source to execution
- #58: Consumer-driven Contracts: TDD between services
- #57: Kotlin: Much more than "better Java"
- #56: Test-driven development: It's not about testing
- #55: Percentages, percentage points and basis points: understand your metrics
- #54: Immutability: from data structures to data centers
- #53: CDN: Content Delivery Network: global scale caching
- #52: How computers work: from electrons to Electron
- #51: Cloud computing: more than renting servers per minute
- #50: Property-based testing: find bugs automatically by generating thousands of test cases
- #49: Functional programming: academic research or new hope for the industry?
- #48: Distributed tracing: find bottlenecks in complex systems
- #47: Terraform: managing infrastructure as code
- #46: Kubernetes: Orchestrating large-scale deployments
- #45: Node.js: running JavaScript on the server (!)
- #44: RESTful APIs: much more than JSON over HTTP
- #43: Public-key cryptography: math invention that revolutionized the Internet
- #42: Flow control and backpressure: slowing down to remain stable
- #41: Unicode: can you see these: ?, 愛 and ???
- #40: Docker: more than a process, less than a VM
- #39: DNS: one of the fundamental protocols of the Internet
- #38: HTTP cookies: from saving shopping cart to online tracking
- #37: Fallacies of distributed computing: overlooked challenges
- #36: Microservices architecture: principles and how to break them
- #35: Reactive programming: from spreadsheets to modern web frameworks
- #34: SQL joins: unleash the true power of Structured Query Language
- #33: OAuth 2.0: safe, password-free authorization
- #32: Cryptographic hash function: much more than a blockchain
- #31: Redis: an in-memory database, cache, broker and much more
- #30: Linear Regression: simple, yet powerful machine learning
- #29: Time synchronization: how Network Time Protocol does it's magic
- #28: Event sourcing: your data as a stream of changes
- #27: Proof-of-work in blockchain: achieve consensus without trusted third party
- #26: Blockchain: distributed, append only database
- #25: High-frequency trading: why computers are better than human at trading?
- #24: Service discovery: never again hard-code IP addresses in your configuration
- #23: Garbage collection: how automatic memory management makes writing software much easier
- #22: Moore's law: still alive and true after decades
- #21: SSE and WebSockets: servers can talk to browsers, not only the other way around
- #20: Chaos engineering: breaking your system intentionally when you are prepared
- #19: GraalVM: Polyglot Java runtime with faster startup and smaller memory footprint
- #18: JIT: bytecode, interpreters and compilers
- #17: Business Process Modeling: designing complex processes without much coding
- #16: Akka: distributed actor-based toolkit for the JVM
- #15: Mutation testing: who tests your tests?
- #14: Static, Dynamic, Strong and Weak Type Systems: understand how your language treats data types
- #13: Cassandra: NoSQL database that supports large amounts of data on commodity servers
- #12: Continuous integration, delivery and deployment: how quickly your main branch appears on production?
- #11: MapReduce: Groundbreaking Big Data algorithm and framework
- #10: HTTP: the most abundant protocol in the internet
- #9: Retrying failures: the simplest way to improve resiliency of your services
- #8: Kafka's design: append-only file that turns out to be a scalable message broker
- #7: Speed of light: how it impact network latency and CPU performance
- #6: Little's law: calculate response time vs. number of CPUs
- #5: asm.js and WebAssembly: binary format to speed up browsers and beyond
- #4: Serverless: the simplest way to deploy your code to the cloud at minimal cost
- #3: GraphQL: more powerful REST competitor
- #2: Service Mesh: a transparent layer around your microservices to provide observability and resiliency
- #1: Circuit Breaker: fail fast by cutting off malfunctioning dependencies
- #0: Meta
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