Operations | Monitoring | ITSM | DevOps | Cloud

Although IT spend, including on cloud services, cooled somewhat in 2023, the second half of the year showed signs of stability, even resilience, buoyed in part by the growing interest in generative AI. For cloud market leader AWS, with 31% global share, the company’s efforts to cut costs and enhance efficiency resulted in substantial profit improvements. Like its peers, AWS also sees great potential in AI and came out with a slew of capabilities towards the end of the year.

At Honeycomb, we are very concerned about privacy and data sovereignty—it’s something we take very seriously, and in an effort to serve our customers better, we’re thrilled to announce that we now offer data residency in Europe. This new instance will allow Honeycomb customers to store their data in the US, in Europe, or both. Let’s talk about the details.

Application performance monitoring (APM) has been around for a long time. Odds are if you’re tasked with overseeing app performance, you’ve had to deal with this technology to get an understanding of your applications and any issues that can arise in the name of troubleshooting. But there’s a new approach you should consider: application observability.

What makes a good or a bad ITSM tool? Which ones are best for a small company? For an enterprise? Read this article to find out.

From the announcement of our first tech event, Civo Navigate, to building a machine learning landscape, 2023 has been an incredible year for Civo. Last year enabled us to shift our focus towards community engagement, product enhancements, and sustainability, allowing us to foster a more robust, inclusive, and environmentally conscious technology ecosystem. Let’s take a look back at the incredible work the team has been working on over the past year and what we can expect to see in 2024.

For financial services companies, good incident management is absolutely critical—maybe more so than in other industries. So, for Michael Cullum and his team at Bud Financial, the choice to build an incident response tool felt right for them in the moment. But very quickly, Michael and the team came face-to-face with the myriad limitations that come with building your own response tooling.

Our mission is to make the world safer and more productive by developing and delivering secure, open source collaboration software. And that mission starts with ensuring that our customers can make informed decisions about their software choices. That’s why we’re excited to introduce the Mattermost Trustcenter.

This blog post explains how to read a query plan in InfluxDB 3.0 and requires basic knowledge of InfluxDB 3.0 System Architecture. InfluxDB 3.0 supports two query languages: SQL and InfluxQL. The database executes a query written in either SQL or InfluxQL according to the instructions of a query plan.

Time series data is a fundamental part of numerous real-world applications, from stock market analysis to weather forecasting to financial market forecasting. Effectively managing, analyzing, and visualizing time series data is essential for extracting meaningful insights and making informed decisions. This is where pandas time series comes into play. It can help you organize, transform, and visualize data and examine details for a specific time period.

While many segments of the IT market move quickly, the observability space seems to move at lightning speed. Fueled by open source innovation, observability toolsets and best practices constantly evolve. Sometimes, it can be tough to keep up — and even tougher to know where your own observability strategy stands. That’s the exact challenge we aim to address with our new Observability Journey Maturity Model.