Apache Kafka is a distributed messaging system that can be used to build applications with high throughput and resilience. It is often used in conjunction with other big data technologies, such as Hadoop and Spark. Kafka-based applications are typically used for real-time data processing, including streaming analytics, fraud detection, and customer sentiment analysis. There are many derivatives such as Confluent Kafka, Cloudera Kafka, and IBM Event Streams.
When it comes to application security testing, choosing the tool best suited for the job is critical. There are so many various tools on the market that determining which one is best for your needs may be difficult. In this article, we will discuss 10 of the best testing tools and outline the features you should look for when making your decision.
This is a guest blogpost from Linuxfabrik At Linuxfabrik we have been developing a collection of currently 130+ plugins for Icinga, Nagios and other compatible monitoring systems for more than two years now. Each of these plugins is a specialized command line tool written in Python.
I joined incident.io recently to lead Sales, after having set up my own company. In both startups, one of the first questions I’ve landed on was: “What sales tools should we use as we scale?”. In this post, I’ll walk through our sales stack, and by extension, what I think most B2B SaaS startups can get away using when they have less than ~100 employees.
