Platform engineering metrics and/or platform engineering KPIs (Key Performance Indicators) can help us measure the success of this evolving approach and its impact on DevOps. According to our 2024 State of DevOps Report: The Evolution of Platform Engineering — 43% of organizations report that they have had a platform team from 3-5 years already. With this maturity, it’s important to measure what’s working and what isn’t working using the same indicators of success across the board.

Microservice mediator APIs provide a flexible, scalable, and decentralized approach to microservices communication, enabling organizations to build robust, modular, and maintainable applications. They shield microservices from the details of the other implementations and promote loose coupling, helping to ensure autonomy, scalability, and independence among microservices.

In today's world, networks are crucial for businesses to communicate and share data smoothly. But keeping networks running well and staying ahead of performance issues can be tricky. That's where network visibility tools come in handy. These tools give a complete view of a network, helping IT pros see everything that's happening and fix any issues quickly.

The Healthcare Information and Management Systems Society (HIMSS) conference serves as a beacon for the healthcare industry, showcasing the latest innovations and trends that shape the future of healthcare. In 2024, HIMSS once again brought together industry leaders, innovators, and stakeholders to explore the transformative potential of technology in healthcare. In this blog, we will delve into the significant trends, challenges, and insights that have surfaced during our three days at HIMSS in Orlando.

The expenses associated with collecting, storing, indexing, and analyzing data have become a considerable challenge for organizations. This data is growing as fast as 35% a year, multiplying the problems. This surge in data comes with a corresponding rise in infrastructure costs. These costs often force organizations to make decisions about what data they can afford to analyze, which tools they must use, and how and where to store data for long-term retention.

In the ever-evolving landscape of the digital era, the backbone of our interconnected world is woven together by an intricate web of networks. Behind the scenes, ensuring the seamless operation of these networks are the unsung heroes known as network technicians. These skilled professionals wield their network toolkits to maintain, troubleshoot, and optimize the complex systems that keep our data flowing and communications thriving.

Like humans, machines need to continually learn from non-stationary information streams. While this is a natural skill for humans, it’s challenging for neural networks-based AI machines. One inherent problem in artificial neural networks is the phenomenon of catastrophic forgetting. Deep learning researchers are working extensively to solve this problem in their pursuit of AI agents that can continually learn like humans.

My introduction to the world of data science was writing anomaly detection for a SIEM that catered to banks and credit unions. Some of these places were running on 50-year-old IBM core banking servers — meaning that someone trying to turn off a light in a server room could take down an entire bank with a literal flip of the wrong switch. While some companies take their time updating infrastructure, others still embody the move-fast-and-break-things philosophy of the early dot-com era giants.

Today, we are pleased to announce the general availability of Elastic 8.13.

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