FinOps, short for Financial Operations, is not just a term but a transformative approach that combines finance, operations, and engineering teams. At its core, it empowers organizations to take control of their cloud spending, optimizing resources while aligning seamlessly with business goals.

Microsoft’s Azure Synapse is a cloud-based analytics service that transforms how organizations analyze and visualize large datasets in real-time for better decision-making. To maximize its benefits, effective cost management is crucial, emphasizing the importance of “Azure Synapse cost optimization.” This analytics powerhouse accelerates insight across data warehouses and big data systems by integrating SQL and Spark technologies, along with tools like Data Explorer and Pipelines.

When managing cloud workloads, FinOps best practices offer the best way of starting the process adoption. FinOps, short for Financial Operations, is a fusion of financial discipline and operational efficiency: as companies increasingly rely on public cloud services, adopting Azure FinOps becomes imperative for maintaining financial transparency and control and optimizing resource utilization while fostering cross-functional collaboration.

Its that time again, it’s the end of the year and it’s time to reflect on the things that have happened in the technology world and think about what went well, what didn’t go so well, where cloud providers are investing, and where we think they might be going in 2024.

Serverless architectures such as AWS Lambda have created new challenges in debugging code. Without a solid logging framework in place, you could waste precious hours tracking down simple defects in your functions. A strategic logging framework can be a powerful way to track down and resolve bugs. Let’s walk through how to get the most out of logging Lambda functions.

This is the second post in a 3-part series about shifting Observability left. If you have not had a chance to read the first, you can find it here. In today’s complex microservices deployments, gaining visibility into deployments is vital for optimal system performance and scalability. This has become even more important as the tech industry has moved toward microservice architecture reliance. Navigating through logs has become increasingly complex as requirements have grown.

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.

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.

This is the first post in a 3-part series about shifting Observability left. When it comes to the reliability and performance of your applications, compromise is not an option in the world of software development. This is where observability can help developers achieve a more robust and scalable infrastructure.