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 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.

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.

As a serverless computing service, AWS Lambda has revolutionized deployment with its pay-as-you-go model. Yet, users often grapple with unexpected costs. This guide underscores the criticality of cost optimization and prepares to unveil quintessential strategies to trim down your Lambda bills without compromising performance.

The Logic Apps are cloud-based resources provided by Azure, which can be integrated with various systems and services with minimal code implementation. The Logic App uses elements like connectors, triggers, and workflows for optimal performance. The utilization of each component influences the overall cost of the Logic App.

Scalability in cloud computing refers to the system’s ability to handle changing workloads efficiently. It allows seamless resource adjustments based on demand, optimizing performance, cost, and resource utilization. Key benefits include improved flexibility, cost efficiency, high availability, and enhanced user experience. Scalability is essential for adapting to dynamic business requirements and ensuring the optimal functioning of cloud-based applications and services.

Azure Virtual machines are one of the computing services offered by Azure. Azure VMs provide flexibility and agility, enabling organizations to swiftly deploy and scale applications without investing in and maintaining on-premises hardware. Azure VMs are fundamental in creating and managing the Azure cloud infrastructure. The concept of Azure VM rightsizing involves choosing the most suitable VM size for your workloads based on the resource requirements.

At Lumigo, building developer-first tools has always been at the forefront of our approach to troubleshooting and debugging. As developers ourselves, we have experienced firsthand the frustration and intricacies of sifting through logs looking for answers. We’ve also felt the pressure of the clock ticking, with production issues waiting to be resolved and the need for timely answers to surfaced application issues.

Azure App Service is a platform as a service (PaaS) that enables developers to make, deploy, and scale web apps, mobile backends, and RESTful APIs efficiently. A powerful component of an organization’s cloud strategy, Azure App Service offers numerous advantages in terms of development, deployment, and operations.

Lumigo is excited to announce its microservice troubleshooting platform now provides developers and DevOps with the power of OpenTelemetry (OTel) with a single click. Lumigo has long been the leading troubleshooting platform for serverless, but now, users can harness its best-in-class debugging and observability platform for all microservices-based environments.