There are quite a few Docker security tools in the ecosystem, how do they compare? We have gathered a list of the most popular Docker security tools so you can evaluate what fits your needs better, including features and use cases. Here you will find both open source projects and Docker security commercial vendors.
In this tutorial we are going to learn how to instrument Golang code to expose application custom metrics using expvar. This will help you monitor availability, health and performance of your Go application.
While benchmarking packets per second (PPS) in AWS EC2 and searching for hard-coded or other software-based limitations, my early findings suggested that there definitely was a credit mechanism, complete with network throttling, in place. I now know that to be false, since finding the guaranteed throughput / best effort mechanic.
The use of scheduled tasks is very common in large and medium-sized systems, mainly because they have several functionalities linked to the automation of tasks without human intervention. It is common to see the use of tools like crontab (Linux) for scheduling tasks, be they in Java or another language.
Google Cloud Platform’s (GCP) Cloud SQL is a managed MySQL and PostgreSQL database service. This service enables you to quickly set up and manage databases for your applications without having to maintain the underlying infrastructure.
I’ve been on a lot of teams in my journey from a software engineer to head of product for Confluence Cloud. All of the best ones have had one thing in common: they were comprised of people from different walks of life who could view the world from different perspectives. So naturally when I started hiring my own teams, I knew promoting diversity at the workplace would be a priority for me.
A new global research report launched today by AppDynamics reveals the emergence of a new breed of technologist, primed to drive positive and sustainable change within their organizations over the coming years – The Agents of Transformation. Technology advancements continue to change the world in ways we’re only beginning to imagine – transforming the way we work, rest, and play.
I love writing software, but I hate dealing with bugs. They take you away from what you want to be doing and often lead you into a rabbit hole. At Sentry—an open-source error tracking platform that provides complete app logic, deep context, and visibility across the entire stack in real time—we have a few tips that we’ve honed over time to make error resolution painless (ok, less painful), including an official integration with PagerDuty.
We have read with great interest the recently released The New Stack ebook entitled: Guide to Serverless Technologies. It is a great report with great insights! We encourage you to read it as well (it's free!). We have recently closed our own survey and are tabulating the results and have seen many similarities and some differences in the responses. Weighing in on the findings of the New Stack survey in advance of releasing our report, we wanted to comment on three key themes from this eBook…
When we released derived columns last year, we already knew they were a powerful way to manipulate and explore data in Honeycomb, but we didn’t realize just how many different ways folks could use them. We use them all the time to improve our perspective when looking at data as we use Honeycomb internally, so we decided to share. So, in this series, Honeycombers share their favorite derived column use cases and explain how to achieve them.
