Operations | Monitoring | ITSM | DevOps | Cloud

The number of IT assets organizations possess is growing rapidly, but managing this growth doesn’t have to be complicated. Efficient IT asset management comes down to having a process and plan in place to quickly and consistently track all assets. With this in place, you can improve the speed and delivery of IT services across organizations.

We have been busy at work in May creating new features and squashing bugs to delight those who use or have not yet started using Kubernetes. Finally, you can start finding Shipa back at in-person events, we just returned from Southern California at JFrog swampUP. We had many great conversations about what we have been working on, especially announcing the general availability of Shipa Insights, today!

Having joined Grafana Labs as one of our first data & analytics hires, I spent much of my time in the first few months considering how we should structure our data stack to optimize for a quick path to value, while allowing our small data team to scale going forward.

The recent market turmoil has everyone from developers to CTOs and founders asking themselves a fundamental question “Is our cloud-deployment strategy recession proofs, and if not, how can we adapt to the new market realities?” Within enterprises of all sizes, leaders are asking hard questions, looking for ways to cut costs without negatively impacting growth.

In this tutorial, I will show you how to set up a continuous deployment pipeline to deploy a Laravel application to the Heroku platform with minimum hassle. Automating deployment helps teams limit human intervention during the deployment process, reducing the risk of errors and streamlining the entire software release process.

Apache Kafka is known for its ability to handle real-time streaming data with speed and efficiency. It’s also known for being scalable and durable, which makes it ideal for complex, enterprise-grade applications. Of course, those new to the concept behind Kafka may find that it takes some time to understand how it works. Thanks to its unique combination of messaging, storage, and stream processing features, Kafka is well suited for both real-time and historical data analysis.

The high volume and high rate of transactions in the adtech market pushes vast amounts of data through the entire ecosystem, 24×7. Regardless of its place in the market – advertiser, ad exchange, ad network, or publisher – each has thousands or even hundreds of thousands of metrics that measure every aspect of the company’s business. Monitoring these metrics can prevent incidents from impacting the business.

When I talk with Splunk customers, their challenges sometimes sound like trying to find a needle in a stack of needles. Feel the same way? The answers you need are out there, hidden in your data. Our job is to help you find them. Securing your networks, keeping them up and running and maximizing efficiency are key priorities. You also face the challenges of speeding up development and driving innovation to stay competitive.

My name is Sancho and I am the person who started developing Pandora FMS in 2004. I want to tell you why Pandora FMS Open Source exists and why the community is so important to me.