InfluxDB v3 allows users to write data at a rate of 4.3 million points per second. However, an incredibly fast ingest rate like this is meaningless without the ability to query that data. Apache DataFusion is an “extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.” It enables 5–25x faster query responses across a broad range of query types compared to previous versions of InfluxDB that didn’t use the Apache ecosystem.
In the modern digital workspace, collaboration and security are paramount. Microsoft has been at the forefront of providing solutions that enhance these aspects of organizational operations. Two such solutions are SharePoint Online and Azure Active Directory (Azure AD). SharePoint Online, a cloud-based service, empowers organizations to create, share, and manage documents and content in a collaborative environment.
In today’s technology driven world, businesses rely heavily on their digital infrastructure to operate efficiently and serve customers effectively. With the growing complexity of these infrastructures, ensuring their stability and performance has become paramount. “But how can I realize that?” is a question i often hear. And this is where infrastructure monitoring steps in.
To fully utilize the capabilities of Kubernetes, it’s crucial to have a reliable system for gathering and organizing logs, metrics, and events. With the complex nature of container orchestration, it’s crucial to understand the significance and process behind the data generated in a Kubernetes environment at scale. Cribl Edge works seamlessly with Kubernetes and can cater to various needs.
Today, Cribl surpassed $100 million in annual recurring revenue (ARR), becoming one of the fastest companies to ever reach this milestone in under four years––an incredible achievement on our journey to building a generational company. Reaching $100 million in ARR so quickly shows that our unique approach and steadfast focus on IT and Security continues to be validated by the market.
From the science fiction fantasies of the mid-20th century to today's reality, AI's journey has been a blend of innovation and apprehension. As we contemplate the future of AI, it’s interesting to look back at the early days of AI, how far it’s come and what we might yet expect. AI has the potential to be of huge benefit but could be disruptive in the wrong hands, particularly in the realm of cybersecurity. A Brief History and Development of AI.
The lifeblood of any online business lies in its accessibility. When your site or application is accessible, your customers are happy, your brand reputation remains intact, and revenues keep flowing. Because of this, understanding and calculating uptime becomes crucial. Let’s face it: any downtime translates to lost revenue.
As distributed, interconnected microservices have replaced monolithic applications, application monitoring has had to evolve to support these modern, complex architectures. Rather than monitoring a single application and code base, organizations need to monitor the performance and network connectivity of multiple services that interact with each other.
