Systems | Development | Analytics | API | Testing

While Kubernetes is a very powerful and comprehensive application, it can also be very complicated and confusing to new users. Thankfully, the community is great at pulling together to try to tame the Kubernetes beasts, and as more users join the platform, more handy tools to help you manage your cluster are developed. Kubernetes Resources range from everyday helper tools to development tools to troubleshooting tools, and in this article we’ll discuss fifteen of the best ones.

The Atlanta Startup Podcast is the briefing room for the innovation ecosystem, featuring the investors, founders and activators creating the fastest emerging venture capital ecosystem in the country. Ken Ahrens, founder and CEO of Speedscale sits down with Valor Investor, William Leonard in this episode.

Containerization and orchestration are becoming increasingly popular. According to a recent survey conducted by Market Watch, the global container market will exceed $5 billion by 2026. In 2019, that number was under 1 billion. These statistics show that the world is moving more towards containers and orchestration faster and faster each day. One example of this is moving from VM to Kubernetes.

Software teams have found themselves in the center of the business’ strategy. Their strategic decisions on technologies to invest in has resulted in greater agility and the ability to build products that differentiate their companies in the market. As a result, optimizing the ability for software teams to deliver by investing in stronger tooling has become a core priority.

Speedscale was built primarily to provide engineering teams with better insight into their applications over time, replaying single transactions for root cause analysis that give developers and SREs confidence that tomorrow’s application code will work just as well in production as it did yesterday.

Testing in production simply means testing new code changes in production, with live traffic, in order to test the system’s reliability, resiliency, and stability. It helps teams solve bugs and other issues faster, as well as effectively analyze the performance of newly released changes. Its overall purpose is to expose problems that can’t be identified in non-production environments for reasons that may include not being able to mimic the concurrency, load, or user behavior.

Kubernetes is one of the current leading technologies. Its adoption has seen tremendous growth in the past few years. The concept of containers is a paradigm that appears to be the predominant medium of software development and deployment in the coming future. Containers help maintain consistency across various platforms, as they pack an application with its dependencies to help move it from one platform to another.

Large portions of software development budgets are dedicated for testing code. A new component may take weeks to thoroughly test, and even then mistakes happen. If you consider software defects as security issues then the concern goes well beyond an application temporarily crashing. Although even minor bugs can cost companies a lot of time to locate the bug, resolve it, retest it in lower environments, then deploy it back to production.

Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. CDE enables you to spend more time on your applications, and less time on infrastructure. CDE allows you to create, manage, and schedule Apache Spark jobs without the overhead of creating and maintaining Spark clusters.