Monitoring has never been simple, but there was a time when it was simpler. You had a device you could collect data from; you knew the metrics you needed to monitor, and if something went wrong, you could find the root cause. But as IT becomes increasingly and exponentially more complex, more devices, more environments, more things to monitor, more updates, more data, more everything; monitoring in general needs to grow with it.
Most modern applications today are being designed as a set of microservices with each service running as an independent application. This simply implies that one large application is broken down into small Apps running independently and only communicating with each other. This of course makes it much easier to build and maintain Apps but also offers way more value when combined with containerization technology.
In a previous article, you learned how to receive data from an external source. In this article, you learn how to send a request or data to an external source using outgoing webhooks. As you learned from the first article in this series, we already receive alerts in Mattermost when the temperature of our fridge is too high. But what if we want to send a request to our fridges to give us the current temperature?
Last month, Catchpoint’s CEO, Mehdi Daoudi, took part in episode 3 of the MIT Sloan CIO Digital Learning Series focused on the post-pandemic workplace and customer experience. Episode 4, which took place over Zoom on Wednesday, September 9th, picked up where last month left off with a candid discussion between business leaders, consultants and MIT academics about the ongoing challenges enterprise is experiencing due to COVID-19 and how business leaders and others are handling them.
Trends in the infrastructure and software space have changed the way we build and run software. As a result, we have started treating our infrastructure as code, which has helped us lower costs and get our products to market more quickly. These new architectures also give us the ability to test our software faster in production-like deployments, and generally deliver more stable and reproducible deployments.
In Part 1 of our Complete AWS Lambda Handbook for Beginners, we gave a refresher on the fundamentals of AWS Lambda and what is AWS Lambda. In this post, we’ll look at AWS Lambda pricing, some interesting Lambda facts and examples of great AWS Lambda use cases in your serverless application.
Most of the applications we see for the ELK stack are from businesses which want to improve their customers' experience. To return relevant search results and to create Kibana dashboards that allow them to analyse data and give the customers what they want. But there are some cases where the customer is always wrong, and where the last thing you want to do is give a site visitor what he wants. Welcome to the world of forensics, compliance and fraud detection.
