Operations | Monitoring | ITSM | DevOps | Cloud

Your FinOps foundations are down in your company’s cloud (woohoo!), but what comes next? How can you boost your MVP success in the cloud with your FinOps strategy? In this blog post, we’ll briefly dive into the three phases of your FinOps for top-notch implementation from beginning to end. Need a refresher on setting up an MVP FinOps framework for your cloud? In part 1 of our series, we’ll show you how it’s done!

In the world of the Internet, where every click, request, and data transfer relies on seamless connectivity, Domain Name System (DNS) issues can be the silent disruptors that bring the entire digital ecosystem to a halt. As organizations and individuals become increasingly dependent on the Internet for their day-to-day operations, understanding and troubleshooting DNS problems have become essential skills for IT professionals.

IT monitoring is evolving rapidly, and LogicMonitor is at the forefront of this transformation with the release of LogicMonitor’s new user interface (UI). This release marks a significant milestone, reflecting our commitment to innovation, responsiveness to user feedback, and anticipation of future technological trends.

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.

Large-scale organizations typically collect and manage millions of logs a day from various services. Within these orgs, many different teams may set up processing pipelines to modify and enrich logs for security monitoring, compliance audits, and DevOps. Datadog Log Pipeline let you ingest logs from your entire stack, parse and enrich them with contextual information, add tags for usage attribution, generate metrics, and quickly identify log anomalies.

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.

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.

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.