Explore the core principles and methodologies that drive success on Azure with our curated Best Practices content. It’s the blueprint for building and maintaining solutions that are not only robust and secure but also efficient and forward-thinking.
Without the right tools and approach, cloud optimization can be a time-consuming and difficult process. There is an ever growing list of best practices to follow, and it’s constantly in flux as your cloud workloads evolve.
Azure Cognitive Services provides Text Analytics APIs that simplify extracting information from text data using natural language processing and machine learning. These APIs wrap pre-built language processing capabilities, for example, sentiment analysis, key phrase extraction, entity recognition, and language detection.
The automated machine learning capability in Azure Machine Learning service allows data scientists, analysts, and developers to build machine learning models with high scalability, efficiency, and productivity all while sustaining model quality.
When we released the capability of automatic update of agents used in disaster recovery of Azure VMs, the most frequent feedback we received was related to access control.
It’s common for enterprises to run workloads on more than one cloud provider; however, adopting a multi-cloud strategy comes with complexities like handling different cost models, varying billing cycles, and different cloud designs that can be difficult to navigate across multiple dashboards and views.
Logs are critical for many scenarios in the modern digital world. They are used in tandem with metrics for observability, monitoring, troubleshooting, usage and service level analytics, auditing, security, and much more.
This post is the fourth in a four-part series designed to help companies maximize their ROI on IoT. In this fourth and final post, we will offer fresh thinking on what innovation could look like for your company.
Optimizing compute resource allocation to achieve performance goals while controlling costs can be a challenging balance to strike especially for database workloads with complex usage patterns. SQL Database serverless automatically scales compute based on workload demand and bills for compute used per second.
This post is part of a 2-part series about how organizations are using Azure Cosmos DB to meet real world needs, and the difference it’s making to them. In this post, we’ll examine additional implementation details and the outcomes resulting from the team’s efforts.
This post is part of a 2-part series about how organizations are using Azure Cosmos DB to meet real world needs, and the difference it’s making to them.
In Craig Kerstiens‘s latest blog post, “A health check playbook for your Postgres database” he emphasizes the need for periodic checks for your Postgres databases to ensure it’s healthy and performing well.
Network security solutions can be delivered as appliances on premises, as Network Virtual Appliances (NVAs) that run in the cloud or as a cloud native offering (known as firewall-as-a-service).
