LogicMonitor stands at the forefront of innovation in IT infrastructure monitoring, and our newest solutions help our customers optimize performance, manage costs, and gain deeper visibility into their network operations. Our vision is to empower businesses with the observability needed to navigate modern IT complexities with AI-powered solutions that drive efficiency.

Azure blob storage has become one of the prevalent storage services being used by organizations to store unstructured data. As the usage of blob storage increases, the associated cost will quickly accumulate and impact the Azure budgets significantly.

Here’s the thing. You frequently access some files, but not others. So, if you can determine the most appropriate storage tier for any given data/object automatically, you can transform it accordingly. That means you can save both time and money by not manually deciding which files to move to their best storage class. To help optimize things, Amazon Web Services (AWS) announced a new storage class called S3 Intelligent-Tiering Storage.

Keeping costs under control is crucial to managing projects on the Google Cloud Platform (GCP). Yet, even the most experienced teams can face unexpected increases in their cloud bills. These surprises, known as cost anomalies, can disrupt budgets and plans. But, with the right approach and tools, you can spot these issues early and keep your cloud spending on track.

In my February 2024 piece The Cost Crisis in Observability Tooling, I explained why the cost of tools built atop the three pillars of metrics, logs, and traces—observability 1.0 tooling—is not only soaring at a rate many times higher than your traffic increases, but has also become radically disconnected from the value those tools can deliver. Too often, as costs go up, the value you derive from these tools declines.

Serverless architecture has emerged as a pivotal technology for developers seeking to build scalable, efficient applications without the overhead of managing servers. At the heart of this revolution are services like AWS Lambda and API Gateway, which have redefined how we deploy and scale applications, offering a truly pay-as-you-go model that aligns operational costs directly with actual usage.

Imagine if you had a magic box where you could keep all your business information — sales numbers, customer feedback, everything — safe and sound, but also easy to look at whenever you needed. That’s kind of what Snowflake does, but for big organizations and using the cloud. It’s a new way for companies to store and use their data without getting bogged down by the techy details.

You’re probably familiar with finding surprise, hidden charges if you’ve been using the cloud for a while. Data transfer fees are the most common source of unanticipated charges on Amazon Web Services (AWS). They can be so costly that some companies, like Netflix and Pinterest, have spent fortunes on data transfer fees — up to $30 million a year. In this post, we’ll share tips for navigating AWS data transfer costs and how you can optimize them.

As of 2023, Kubernetes firmly holds the reins of the container orchestration market with a commanding 92% market share, underscoring its position as the unparalleled leader in this domain. Celebrated for its exceptional scalability, robustness, and flexibility, Kubernetes boasts widespread integration across numerous industries, supported by development efforts from more than 7,500 companies.

Cloud cost optimization refers to reducing overall cloud spending by identifying mismanaged resources, eliminating waste, reserving capacity for higher discounts, and right-sizing computing services to scale. In the modern business environment, where agility and efficiency are paramount, mastering cloud cost optimization reduces expenses and strategically allocates resources to drive innovation and growth.