Undoubtedly, AI is our future—which means it’s past time to integrate machine learning models into your FinOps multi-cloud tech stack. AI turns simple tasks into something that can be executed at the click of a button. With well-trained models, FinOps, MSPs, and Enterprises can automate cost detection, forecasting, and anomaly identification, streamlining complex financial operations without increasing their workforce. The good news?

We’re excited to show you some great updates to the most-used feature of StatusGator: Third party service monitoring. This update combines several features that have been very often requested and will certainly make your StatusGator experience even better. Here’s what’s new.

With the upcoming release of JDK 23, there are some significant changes in locale information that will affect Elasticsearch and how you ingest and format datetime data. Firstly, a bit of background.

Since the release of ChatGPT in November 2022, companies have either banned or rushed to adopt generative artificial intelligence (GenAI), which is rapidly expanding in use and capabilities. Its powerful yet unpredictable nature poses significant cybersecurity risks, transforming it into a double-edged sword. However, whether generative AI poses more opportunity or risk is not necessarily the right question to ask.

Azure Cost Optimization is one of the key factors to achieving a solid return on investment using the cloud. The more we use the resources, the more we have to pay increasing the Azure spend. But it is more important to keep an eye on the amount spent on the resources. Azure Cost Optimization is crucial for organizations leveraging Microsoft Azure to ensure they are using cloud resources efficiently, avoiding unnecessary expenses, and maximizing the value of their investment.

Apache Kafka plays a critical role in financial services by providing a robust, scalable, and real-time data streaming platform. The financial industry relies heavily on processing vast amounts of data quickly and reliably, and Kafka’s capabilities are well-suited for this environment. Below are some key use cases of Kafka in financial services.

Exception monitoring in Java plays a vital role in Java application performance monitoring by providing real-time insights into the health and stability of the application. Java is now the backbone of many critical and complex business applications in sectors such as banking, healthcare, finance, retail, and e-commerce. The complexity of these systems is also compounded by the fact that they involve distributed Java microservices that communicate across various layers.

Interaction to Next Paint is the newest of Google’s Core Web Vitals. The three metrics that make up the CWVs are Google’s attempt at defining proxy metrics for measuring things they believe are critical to a good user experience on the web. The three metrics are: Debugging and fixing these metrics can be quite complicated. In this post, I’m going to walk through how you can use Honeycomb for Frontend Observability to debug INP, which was just promoted to a stable Core Web Vital in March.

Another huge release is heading your way with our new Image Backup engine, Documentation upgrades, new automation scripts, MDM enhancements, and much more!

Organizations need highly scalable compute capacity in the cloud to handle fluctuating workloads. This ensures they can meet peak demand without over-provisioning resources or incurring unnecessary costs during low activity periods. Amazon EC2 offers one of the most flexible, on-demand infrastructures that can be scaled to meet business needs. Yet, it isn’t suitable for everyone. In this guide, we’ll explore why that is and share the best EC2 alternatives to consider. But first, a quick recap.