When dealing with some of the large enterprise migrations to the public cloud a few years ago, it was immediately clear that a huge process gap in the finance operations of these companies was not only making the finance controller miserable but also challenging the cloud teams as to their autonomy and in general, ability to deliver quickly on the flexibility and speed that the cloud promised.

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.

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 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.

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.

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.

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.

Azure App Service rightsizing refers to adjusting the computing size allocated to an Azure App Service plan to achieve an optimal balance between cost and performance. It involves analyzing the resource utilization and selecting an appropriate computing power to meet your performance requirements while minimizing costs. Optimizing App service plan sizes is crucial for cost efficiency and performance enhancement.

Within the ever-changing realm of cloud computing, businesses are always looking for methods to reduce expenses and improve operational effectiveness. Azure Reservations is a valuable option, offering significant cost savings over pay-as-you-go pricing. It is essential to have efficient use monitoring to maximize these advantages. This blog will examine ways to optimize savings and discuss the significance of Azure Reservation utilization Monitoring.

Today, I will speak about another helpful Logic App best practice that you must consider while designing your business processes (Logic Apps), in this specific case, in the security of our components and Azure platform: Improve Logic App security by suppressing workflow headers in external HTTP calls.

Werner Vogel’s keynote is usually the highlight of re:Invent and 2023 is no different. Although there were no noteworthy service announcements, Werner gave a timely reminder that cost is an important non-functional requirement and that we should all strive to be a frugal architect.

Welcome again to another BizTalk Server to Azure Integration Services blog post. In my previous blog post, I discussed how you can migrate a BizTalk request-response routing solution with LOB Adapters. Today, we are to address simple one-way routing solutions inside the BizTalk Server platform. In the realm of enterprise application integration, the concept of routing plays a pivotal role.

Welcome again to another BizTalk Server to Azure Integration Services blog post. In my previous blog post, I discussed how you can implement the aggregation mapping pattern inside Logic Apps. Today, I will address a very interesting BizTalk Server topic and how we can redesign our solution to implement the same capabilities inside Azure Integration Services: How you can migrate a BizTalk Server content-based routing solution with LOB Adapters – in this particular case, SQL Server.

Have you ever struggled with keeping up with the changes in your virtual data center needs and the savvy, precise Reservations you planned and purchased? Realizing that right after you bought them, the application team decided to swap their Kubernetes cluster to the newest model. Suddenly, you are paying a VM twice: the reservation plus the new model!