Systems | Development | Analytics | API | Testing

Top Docker Desktop Extensions for Developers and How to Use Them

For the last 10+ years, Docker has been one of the leading technology tools for helping developers build, run, update, and manage containers. It is one of the most widely used containerization tools available, able to work with Linux, Microsoft Windows, Apple MacOS, and all of the leading cloud service providers. With over 20 million monthly users, you’ve likely used Docker before, whether for your own projects or as part of a larger team.

Setting Up Efficient Kubernetes Environments for Developers

Kubernetes has transformed how developers build, test, and deploy applications, providing a consistent platform for managing containerized workloads. Setting up efficient Kubernetes clusters is crucial for streamlining the development process, reducing time-to-market, and ensuring that applications run reliably from development to production.

Boosting Kubernetes Developer Productivity: Top Tools and Strategies for Efficient Development

Developer productivity is not just about writing code faster—it’s about creating efficient, self-service environments that minimize friction and reduce the time from development to deployment. In the context of Kubernetes clusters, enhancing productivity means leveraging the right tools and workflows to streamline development, reduce errors, and speed up feature releases. This guide explores the key strategies and tools that can significantly boost productivity in Kubernetes environments.

Using Service Mesh Within Your Kubernetes Environment

Container technologies are always evolving — and we're not talking Tupperware here. Over the past years, service mesh has emerged as a crucial component for managing complex, distributed systems. As organizations increasingly adopt Kubernetes for orchestrating their containerized applications, understanding how to effectively implement and utilize a service mesh within this environment becomes paramount.

Optimizing DevOps with Kubernetes Ephemeral Environments: Efficient Testing and Deployment

Ephemeral environments transform software development by providing temporary, isolated spaces for testing and deploying microservices without affecting production. Given its robust orchestration capabilities, Kubernetes excels at creating these temporary environments, allowing teams to efficiently manage and scale containerized applications. By integrating tools like Helm and Kustomize, developers can maintain a codified version of their app and its dependencies.

Join Ken on SMC Journal - Scaling Kubernetes, Microservices, and Ephemeral Environments

Check out Ken Ahrens and Scott Moore as they discuss some blockers of developer productivity when building in Kubernetes, and how removing environment and data challenges can reduce toil and frustration! You can catch the full podcast on Scott’s page here: Scott Moore: Hey everybody out there in internet meme land. It’s time to hide your kids and hide your wife because it’s time for the SMC Journal podcast. Some of you will get that joke. Others will not.

Streamlining Cloud Native App Development in Kubernetes #WordsUnplugged

As Kubernetes adoption grows, effective API management within this ecosystem becomes crucial. The Gateway API specification is a promising solution, addressing the challenges of integrating API management into Kubernetes' declarative, GitOps-driven environment. Although the initial response to the specification has been positive, its full impact and adoption are still unfolding. Vendors must balance the desire for interoperability with the need to differentiate their offerings, navigating complex market dynamics.

JMeter ecosystem for your Performance test through docker-compose, monitor, and mock your services

If you'd like to carry out load tests in a simple way, benefit from a simplified configuration with a focus on writing your test plan and its test typology, have the opportunity to monitor through detailed dashboards, store your metrics, and also mock one or several services: you are at the right place! With this kind of configuration you will be able to make shift-left performance testing as well!