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.

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.

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.

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.

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.

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.

Logging on embedded devices comes with a host of interesting and unique challenges that aren’t found on servers — devices are generally more memory, bandwidth, space, and CPU constrained, and devices often take weeks, months, or years to update, rather than days or hours.

Calico v3.27 is out 🎉 and there are a lot of new features, updates, and improvements that are packed into this release. Here is a breakdown of the most important changes.