Operations | Monitoring | ITSM | DevOps | Cloud

We believe that one of the most powerful capabilities added to the Logz.io Observability Platform in recent months is our new Service Performance Monitoring (SPM) feature set. As you may have seen earlier this year, Logz.io was named a Visionary in the 2022 Gartner® Magic Quadrant(™) for Application Performance Monitoring and Observability. To that end, SPM is a cornerstone for our related solutions.

All the various systems in IT, from cloud infrastructures and servers to applications and wireless networks, are hubs for activity and traffic. One way administrators are able to keep an eye on the activity, current and past of their systems, is by keeping logs and analyzing them both in real-time and regularly.

Java is one of the most widely used programming languages and it’s often used by back-end developers as a server-side language. It’s used by über-famous applications like Spotify, Twitter, Signal, and Cash App. Java has evolved immensely over the years and in addition to being easy to write, compile, and debug, it’s also more secure, portable, and effective in memory management compared to other languages.

There’s an old saying that “knowledge is power” and no matter how you choose to interpret its meaning, nothing could hold true more when it comes to the quality and quantity of information derived from your website monitoring service. When data fails to meet expectations for quality, validity, and consistency, it can have wide-spread negative effects on company operations and key strategies.

Rated as the top order tracking and revenue generation app on Shopify, Rush lets businesses build and personalize their own dashboards to manage the post-sale process with real-time data, custom product recommendations, and user feedback. Their business model focuses on low touch and user-centered design (UCD), which leaves little room for issues impacting how people interact with the platform.

PostgreSQL is a popular open source object-relational database system designed to work for a wide range of workloads from single machines to data warehouses to web services with many concurrent users. PostgreSQL runs on all major operating systems and is used by teams and organizations across the world, including Netdata. If you are using PostgreSQL in production, it is crucial that you monitor it for potential issues. And the more comprehensive the monitoring the better!

In an ideal world, developers would be able to release new products and features from development environments into production extremely fast while also not having to stress about breaking prod. Achieving this combination of development speed while also maintaining software reliability requires having the right toolchain and automation in place.