Operations | Monitoring | ITSM | DevOps | Cloud

Javascript is a pretty prolific programming language, used daily by people visiting any number of websites and web applications. NodeJS, it’s server-side version, is also used all over the place. You’ll find it deployed as full application stacks to functions in things like AWS Lambda, or even as IoT processes with things like Johnny Five. So when we think about Observability in the context of a nodejs stack, how do we set it up and get the information flowing?

The client in consideration is one of the largest engineering, procurement, and construction (EPC) companies in India. With projects covering over 14 states in the country, its portfolio of services and offerings is widely diversified. It primarily engages in three forms of businesses – civil construction, road & highway development, and manufacturing.

Observability is an indispensable concept in continuous delivery, but it can be a little bewildering. Luckily for us, there are a number of tools and techniques to make our job easier! One way to aid in improving observability in a continuous delivery environment is by monitoring and analyzing key metrics from builds and deploys. With tools such as Prometheus and their integrations into CI/CD pipelines, gathering and analysis of metrics is simple. Tracking these things early on is essential.

Atlassian, the maker of Opsgenie (We have an integration for Opsgenie too!), also offers Statuspage. Statuspage is a communication tool that allows users to view the current and recent past status of a website, API, or web application. In addition to a hosted status notification page, Statuspage also sends out messages to users to keep them informed about your site’s availability. Now Uptrends can automatically send updates to Statuspage using the new integration.

Cloud application requirements have pushed beyond the limitations of relational database management systems. This rising demand for managing unstructured data, along with the growing need for data analytics, has caused significant market growth in the NoSQL database sector. MongoDB, as one of the classical NoSQL databases, is a powerful tool helping companies align with new cloud-based business strategies. With great power comes great responsibility.

Machine learning — the practice of writing algorithms that improve automatically through experience — has become a buzzword nowadays that connotes to something otherworldly and on the bleeding edge of technology. I’m here to tell you while that may be true, getting started with machine learning doesn’t have to be hard!

Stackify Retrace pricing is changing. We’re moving away from our old device-based billing to a modern usage-based billing. This means you’ll pick a plan based on the exact amount of projected logs and performance traces you collect and nothing more. You’re probably wondering why and what’s in it for me. Stackify has one core belief that has guided us since our inception and will never change.

Technology is evolving exponentially, and with it the size of the data that needs to be saved increases and the great need to access them quickly, easily and, above all, from anywhere. Every day that goes by, the use of cloud becomes even more essential for companies. For that reason, cloud computing services have started to emerge in order to meet these needs. Among them, Azure.

Today we will talk about exporting data (such as hosts and services) from Icinga Web 2 into various formats.

In today’s world of remote workers and distributed teams, a seamless digital user experience is the most significant aspect driving productivity and collaboration and Digital Experience Monitoring (DEM) allows an enterprise or service provider to optimize the performance of critical cloud productivity and collaboration tools, for a smooth user experience.