Speedscale addresses the challenges of scaling Kubernetes in a microservices and containerized, ephemeral environment. This includes real-traffic replays and service mocking to find bottlenecks and tune production and development environments.

This episode sponsored by SpeedScale https://bit.ly/46KFWbY

Insights on Scaling Kubernetes

🔍 Speedcale helps developers figure out if their code is about to blow up before pushing it into production by creating production conditions in their staging environments and local development machines. 🌐 Kubernetes enables teams to build microservice architectures, breaking the monolith into pieces and allowing for individual scaling of each component. 🚀 The ability to make small code changes and quickly push them to production with Kubernetes provides a time to market advantage for companies. 🚀 Speed and scale are key capabilities for teams testing their code in Kubernetes environments, not just for simulating production. 📊 Monitoring data and load testing are crucial for defining the memory and CPU needs of workloads in Kubernetes environments. 🚀 Scaling Kubernetes clusters can be challenging, but innovations like Carpenter can help manage node sizing and resource allocation effectively. 🔍 Using production monitoring data from tools like New Relic and DataDog can help in tuning production and non-production environments for Kubernetes and microservices. 🔮 Mocking out dependencies with one command line tool can revolutionize the development process and improve developer satisfaction.

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🔗 Links:

• Scott Moore Consulting: https://scottmoore.consulting
• The Performance Tour: https://theperformancetour.com
• SMC Journal: https://smcjournal.com
• DevOps Driving: https://devopsdriving.com
• Security Champions https://thesecuritychampions.com

What is DevPerfOps, you ask? DevPerfOps is a crucial concept in software engineering, emphasizing the integration of performance engineering into DevOps to prioritize and ensure continuous performance improvements.

Key Insights About DevPerfOps

🧠 Scott Moore is focused on making a contribution to improve the group as a whole, with a particular interest in DevOps and continuous delivery. 🛠️ DevSecOps ensures security becomes a non-negotiable, so why can't DevPerfOps ensure performance becomes a non-negotiable as well? 💻 DevPerfOps is essential for critical systems that need to be fast, up, resilient, and efficient. 📈 DevPerfOps values working software with optimized performance and prioritizes ongoing optimization as a process, not an afterthought. 🚀 Efficient and performant applications bring a competitive advantage and can make you more money. 📊 Performance is not just a technical problem to solve, it is part of the business imperative and has a real impact on the company's financial and risk perspective. 📊 DevPerfOps emphasizes the importance of speaking in terms of business and proving value through metrics and information to become a valuable asset to the company. 🤔 DevPerfOps should exist for the same reason that DevSecOps exists - to address the shortcomings of dev ops in producing awesome business results.

"Mastering OpenTelemetry and Observability" is a new book by Steve Flanders. Observability in complex systems is crucial, and OpenTelemetry is the future of providing open source and vendor agnostic instrumentation and data collection for better understanding and troubleshooting system behavior.

Key Insights on Mastering OpenTelemetry

🔍 Observability in complex systems is crucial for understanding their behavior and troubleshooting. 📊 Observability is about being able to ask any question about the data collected from applications to determine system behavior, including availability, performance, and even security aspects. 🔍 OpenTelemetry aims to solve the issue of vendor lock-in by providing open source and vendor agnostic instrumentation and data collection. 🧠 The opportunity to give back and contribute something valuable to the community is a driving force behind sharing knowledge and expertise in technology fields. 📊 Focusing on availability and performance is crucial for observability, but understanding latency and performance characteristics can be very environment specific. 💡 OpenTelemetry provides data portability and full control of your data, allowing you to choose what you send, filter, sample, enrich, and redact. 💡 OpenTelemetry is the future, and it's in everyone's best interest to come together and make it the best product we can. 📈 OpenTelemetry's rapid acceptance and growth make it a staple in overall observability strategy for monitoring applications and business performance.