Virtual Machines (VMs) act as the foundation for the evolution of cloud computing. Business organizations utilizing virtualization for their applications will operate flawlessly only when the corresponding VM resources function without interruptions. A cloud enterprise’s expenditure on VM resources is frequently high, as pricing varies according to its service tier.

Tech debt affects just about every software organization. For better or worse, speed is one of the core tenets of the software development industry – the rush to build more, add new features, and find solutions fast can drive short-term growth for small organizations and add value for large companies. But haste, as it usually does, makes waste: The mass of suboptimal code, redundant services, and bottlenecked processes that we call tech debt.

Azure VM Reservations are the best solution for optimizing cloud expenses. Users can obtain discounted prices for virtual machines in Microsoft Azure by committing to a one- or three-year term. This strategic approach ensures predictable costs, enhances budget management, and is ideal for workloads with consistent resource requirements. Leveraging Azure VM Reservations empowers businesses to achieve significant cost savings while maintaining flexibility and scalability in the cloud infrastructure.

Cost optimization is critical to managing any cloud-based service, including Azure Cosmos DB. Azure Cosmos DB is a globally distributed, multi-model database service that allows you to scale your storage and throughput across regions. Although it offers a highly scalable and flexible platform for creating applications, Azure Cosmos DB cost optimization is important to ensure efficient resource utilization, avoid unforeseen expenses, and estimate costs more accurately.

Every day, organizations face external threats as a consequence of exposing their services over the internet. An estimated 2,200+ attacks occur in a 24-hour period—or one attack every 39 seconds. Add the fact that an average data breach (one of many potential consequences of poor security) costs companies $4.45 million, and the need for strong security is impossible to ignore. Web application and API security is key to protecting your infrastructure, data, and users.

SaaS providers prefer to host their solutions centrally on the cloud as a single deployment unit and share them across all their customers (tenants) in order to achieve strategic business objectives. To support this, SaaS generally demands cloud-managed services to help implement necessary automation, security, and observability specifically for their multi-tenanted compute layers.

Monitoring your instance of NGINX gives you insight into your webserver's requests and connections. These insights can help in identifying performance bottlenecks, optimizing configurations, and ensuring efficient load handling. Monitoring all layers of your technology infrastructure allows for the early detection of potential problems such as server overload, disk space shortages, or network issues.

Whenever you're providing a service to businesses or individuals that they rely on, it's important to make sure that it's up and running as much as possible without disruptions. But the reality is that, despite your best efforts, downtime does happen. Regardless of when incidents strike, whether it’s 2 PM in the middle of the working day or 2 AM, it's important to have people available to diagnose and resolve issues as soon as possible.