To supervise the behavior of distributed applications and track the origin of service failures and downtime, developers often use traditional monitoring technologies and tools. However, this approach can fall short in its ability to measure the overall health of modern cloud-native architectures, which can span multiple hosting environments and encompass hundreds of microservices.
In a perfect world, your Configuration Management Database (CMDB) acts as the single source of truth for all your IT device inventory and the relationships between those devices. However, maintaining accuracy is easier said than done. That’s because the traditional method for provisioning and maintaining a CMDB is complex, unwieldy, and outdated the second it's updated. To keep up with the needs of a modern CMDB, an automated discovery and dependency mapping (DDM) solution is a must.
At ServiceNow, we’ve adjusted to the changing times, encouraging our employees to work in the most efficient and safe ways available to them to embrace the new world of work. We’ve embraced the distributed work model. Three of our global employees are proving it’s possible to adapt to new working environments and thrive—no matter where they are. Their jobs have impacted their personal decisions to work remotely full time, in the office full time, or a hybrid of both.
TechStrong CTO and cofounder Mitch Ashley sat down with Lodewijk Bogaards, Brian Dawson and Cyrille Le Clerc, three industry experts to discuss the present and future of observability. Want to hear everything these experts have to say about the future of about the future of observability?
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.
