The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Say you are an awesome developer sitting contentedly at your desk when a Slack message suddenly interrupts your peaceful mental flow: It would appear there is a data issue with the new Activity History service released last month… Or at least a couple people think there is. Now, instead of making progress on new tasks, you now need to drop those and look into what’s happening here. Sigh.
It goes without saying that 2020 has been a challenging year for businesses. Faced with unexpected and unfamiliar hurdles, organizations have been under immense pressure to maintain or improve performance in all areas of their business. But this has also been a year of innovation. We’ve seen modern organizations embrace new, innovative technologies and tactics that have reshaped the way they manage IT performance.
Elasticsearch is a great platform for any data lake initiative, and ideal for analyzing your monitoring and observability data. But if you’re working with a number of different monitoring and observability tools, especially across multiple cloud environments, you might find it challenging to get all your data into Elasticsearch.
The overall theme of Splunk’s four-part 2021 Predictions report is the rapid acceleration of digital transformation, driven by the specific event of the COVID-19 pandemic, and the momentum of data technologies that have brought us into a true Data Age. Nowhere is that acceleration going to be more transformative than around the application of artificial intelligence and machine learning.
There is more to Distributed Tracing with Jaeger than just capturing machine data as with metrics, or tailing log files. To start, you should read this primer. In this article, I will walk you through the initial principles you’ll need before executing anything within your codebase. This is going to focus on Node.js, as slight differences and concerns exist for browser applications.
Serverless is synonymous with Event-Driven Architecture, where Events are a fundamental block of information that is passed around to execute certain application logic. It is very important that events are delivered to the right destination with expected behavior to make sure the whole serverless application works as one. Events are relayed from one place to another through communication services, either in sequence or in parallel.
If you’re running a mix of Windows– and Linux–based hosts in hybrid or cloud environments, network monitoring is especially important—and especially difficult. As network topologies are becoming increasingly distributed and dynamic, you need a quick way to identify connectivity issues across regions, services, and operating systems.
Attackers (i.e., threat actors) often reuse techniques or resources, such as IP addresses, hashes, and domains, in multiple attempts to find and exploit vulnerabilities in your systems. Defenders can categorize this data as indicators of compromise (IOCs) and create collections of IOCs in order to look out for potential attacks. These IOC collections are known as threat intelligence.
