Operations | Monitoring | ITSM | DevOps | Cloud

As 2023 draws to a close, we’re celebrating a full year since the release of SquaredUp Cloud – our revolutionary observability portal for product, engineering, and IT teams. In the last six months, we’ve packed in a ton of product improvements, including new visualizations, even more out-of-the-box dashboards, and a fast growing suite of pre-built plugins.

In the dynamic world of IT, traditional network monitoring approaches are no longer sufficient to manage the complexities of today’s networks—be they wired or wireless. To stay ahead of network events, IT administrators must shift from being reactive to adopting a proactive stance. This transition involves a comprehensive approach to network monitoring that includes forecasting future network requirements with the help of machine learning (ML) technology.

Exoprise supports monitoring from inside the firewall and outside the firewall. Every day, we have prospects spin up Synthetic Transaction Monitoring (STM) as part of their free trial to test tenant access and performance from one of the Exoprise public points of presence, which we refer to as public sites.

Javascript has been enabling browsers for years, and for better or for worse, the internet is made of JS. NodeJS brought it to the server side. TypeScript has wrapped familiar object-oriented, statically-typed syntax around it. Anywhere you look, you’ll find Javascript: on the client, server, mobile, and embedded systems.

There is more data available to us than ever. Storing this data is important — but deciding on the right type of data storage solution is not so clear. This article explores two primary types of big data storage: data lakes and data warehouses. We’ll examine the benefits of each, then discuss the key differences between a data lake and a data warehouse, so you can decide on the best approach for your business.

On-call scheduling is tricky. Like, really tricky. It was one of the scariest parts when we decided to build a modern alerting system earlier this year. We knew we couldn't cut any corners on Day One of our release because it needed to be a fully loaded feature for someone to realistically use our product (and replace an incumbent). This meant including windowed restrictions, coverage requests, and simple to complex rotations.

Whether or not you made the journey to this year’s re:Invent, there’s always a variety of great announcements lost amid an action-packed week of keynotes, breakouts, expo hall demos, and networking sessions. No need to worry—we’re always happy to be a big part of the re:Invent experience and share our observations with you.

New Kafka topics catalog in Aiven for Apache Kafka brings a topic-centric view of your Kafka environment directly to the Aiven console.

On Dec. 5, 2013, Torkel Ödegaard made the first commit in GitHub for a personal project that would become Grafana. “It’s hard to believe it’s been 10 years since Torkel launched Grafana, growing from a small man with a big dream to becoming the most popular data visualization software in the world,” says Grafana Labs co-founder and CEO Raj Dutt. “The Story of Grafana” chronicles that meteoric journey.

Data is everywhere, not just in large centralised data centres, but in smaller outposts, like retail outlets, remote or branch offices, filming locations and even cars. Use cases for edge storage include local processing, content collaboration that cannot take place with high network latency, and for ingest – where locally created content is captured, protected and then made available to other systems.