Docker containers have revolutionized the cloud industry. While Docker containers already present remarkable benefits and plus-points over other virtualization methods, there are significant performance gains that developers can further squeeze out of Docker to get the most out of the technology. This guide will cover different methods of optimizing Docker performance and answer some frequently asked questions about the technology.
For the last several years, GitLab has run a major survey about the trends facing the DevSecOps community. This year over 4,000 people responded to the survey, 40% who identified as a Software Developer / Software Engineer. Also about half the survey participants are based in Asia, a major region for Software Developers. One of the biggest trends you will find throughout the survey is how much developers value speed and efficiency.
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.
As the world of technology continues to progress, so are the technologies that developers work with on the daily. Whether it’s cloud native, Kubernetes, serverless, or distributed architectures, every developer team has encountered the difficulties of working with them. Even more so, they’ve felt the challenges associated with trying to find the solutions to those same difficulties. But what if it was as easy as opening a book?
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.
