“Time is money” couldn’t be truer than in managing cloud costs. By way of proactive anomaly detection, a chance is given to save time that could have been spent on issue recognition and resolution. Anomaly detection for the Cloud can be tricky since there can be changes in prices & data on billing history anytime. Not to mention, seasonality can mess things up as well.
Bitcoin and Coinbase have been in some hot water lately. How they handle cryptocurrency might not be legal or safe. The lack of regulations is causing concern from the government about potential criminal activity, fraud, and money laundering. The good news? Rules are being implemented for crypto exchanges to stop corrupt events from happening. Regulations like Know Your Customer (KYC) are an absolute must for exchanges to keep operating legally.
The cloud is the hub for data management nowadays. DevOps teams are all about preventing any hiccups that could make customers unhappy. And with more companies moving to cloud databases and services like SnowFlake, Redshift, RDS, and BigQuery, they’re operating on a bigger scale with better quality.
Cloud tools are becoming indispensable for modern-day FinOps. They can improve efficiency and agility and deliver better client results. But what native cloud tools are right for you, and how can they benefit FinOps? Let’s find out. When managing financial operations in your organization, using native cloud tools is a must. Let’s take a closer look at some key advantages.
In the complex and dynamic realm of data analytics, real-time anomalies serve as insights to issues a business faces. A pervasive and enduring conundrum persists: accurately discerning between anomalies of significant importance and those of lesser consequence. This distinction is a nontrivial task as not all anomalies bear the same weight.
Missed our latest webinar on FinOps for MSPs? We’ve got you covered! This blog post will cover what the FinOps experts discussed and the main things to remember. FinOps are revolutionizing MSP operations by adding a data-driven approach to cost management. This method helps MSPs optimize their cloud usage, provide white-glove support to customers, and give visibility on their expenses.
The public cloud can deliver significant business value across infrastructure cost savings, team productivity, service elasticity, and DevOps agility. Yet, up to 70% of organizations regularly overspend in the cloud, minimizing the gap between cloud costs and the revenue cloud investments can drive.
Most customers running Kubernetes clusters Amazon EKS are regularly looking for ways to better understand and control their costs. While EKS simplifies Kubernetes operations tasks, customers also want to understand the cost drivers for containerized applications running on EKS and best practices for controlling costs. Anodot has collaborated with Amazon Web Services (AWS) to address these needs and share best practices on optimizing Amazon EKS costs.
The total transaction value of digital payments is projected to exceed $1.7 billion by the end of 2022. Each one of these transactions generates masses of data that contains critical insights for merchants, payment service providers, acquirers, fintechs, and other stakeholders in the payments ecosystem. Having real-time access to these insights has the power to drive growth through customer and market understanding.
