This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In my past life, I spent many hours researching, creating, explaining, and publishing portfolio architectures across a collection of application development, domain verticals, infrastructure solutions, and hybrid cloud domains. Most of these concentrated on the application layers and their usage of the infrastructure. Then, I transitioned into the cloud native observability space, and observability became the guiding light on my learning path.
We’re excited to announce the release of Percona Monitoring and Management (PMM) 3.0.0 (GA). The Percona Monitoring and Management (PMM) 3.0.0 release delivers major security and stability enhancements. Notable security improvements include rootless deployments and encryption of sensitive data, along with improved API authentication using Grafana service accounts.
In the field of machine learning and artificial intelligence, inference is the phase where a trained model is applied to real world data to generate predictions or decisions. After a model undergoes training, which can be computationally intensive and time consuming, the inference process allows the model to make predictions with the goal of providing actionable results.
January has been notable for the number of important announcements in AI. For me, two stand out: the US governments support for the Stargate Project, a giant data center costing $500 billion, with investments coming from Oracle, Softbank, and OpenAI ; and DeepSeeks release of its R1 reasoning model , trained at an estimated cost of roughly $5 milliona large number but roughly one-tenth what it cost OpenAI to train its o1 models.
When developing educational games, providing accurate and meaningful feedback is crucial for user engagement. In this article, I'll share how we implemented a geographic calculation system for Flagle Explorer, a flag-guessing game that helps users learn world geography through interactive feedback.
We’re excited to announce the Tech Preview release of Percona Monitoring and Management (PMM) 3.0.0 (GA). This release is intended for testing environments only, as it’s not yet production-ready. The public release will be available through standard channels in upcoming days. The Percona Monitoring and Management (PMM) 3.0.0 release delivers major security and stability enhancements.
Automation can help European banks save 50-70% of effort in DORA compliance The journey to continuous DORA compliance can be summarized in three steps: Continuous monitoring of IT environments Proactive incident prevention and handling Ongoing management of compliance requirements These efforts demand significant resources, time, and operational bandwidth.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content