Operations | Monitoring | ITSM | DevOps | Cloud

We all rely on the Internet to conduct business, and it has become the heart of how we work, relax, and gather information. Businesses rely on a strong internet connection to communicate with employees, hold video conferences, access cloud infrastructures, and use other business-based tools for smooth operation and collaboration. As businesses expand and demand for their platforms grows, companies need a reliable internet connection to avoid downtime and loss of money.

Snowflake and Databricks are both robust data platforms. Both are built for speed, scale, and cloud-native applications. They also prioritize efficiency and adherence to strict data protection protocols. Yet each adopts a distinct approach and features suited to its architecture and various use cases. It is these differences that can make all the difference in the way your data is processed, analyzed, reported, and more.

For the past two years, AI enthusiasts have been treated to a nonstop procession of lightspeed innovations. ChatGPT rang the era in with a bang; millions of blogs, emails, trivia questions, and sonnets later, Microsoft etched the writing on the wall with its $10 billion investment in OpenAI, ChatGPT’s progenitor. Since then, companies from Alphabet to Zoom have scrambled to somehow, some way, integrate AI into their core offerings.

Internet of Things (IoT) devices are everywhere you look. From the smartwatch on your wrist to the security cameras protecting your offices, connected IoT devices transmit all kinds of data. However, these compact devices are different from the other technologies your organization uses. Unlike traditional devices, IoT devices lack a standardized set of security capabilities, making them easier for attackers to exploit.

The easier it is for you to get data into CloudZero, the easier it’ll be to maximize your cloud efficiency. This month’s updates have entirely to do with ease of use: a drag-and-drop method to get unit cost metric data into the product, an improved MongoDB integration, and continued improvements to our AnyCost API and cost integrations.

Today, companies are constantly searching for ways to streamline operations and gain an edge. Many, though, are weighed down by the burdens and costs of on-premises IT infrastructure. That’s why some are considering the benefits of cloud migration. In this article, we’ll take a look at cloud migration benefits and how they help you save money, scale your business and improve your operations.

As of 2024, the global serverless computing market is projected to reach a value of USD 21.9 billion, with expectations to grow to USD 44.7 billion by 2029. Around 70% of organizations using AWS have adopted at least one serverless solution. The adoption rates for Google Cloud and Azure are 60% and 49%, respectively. These numbers affirm that serverless is here to stay, and the demand for platforms to create and run applications is higher than ever. AWS Lambda is the most popular serverless platform.

Microsoft offers several cost-saving opportunities with Azure pricing. Azure Reserved Instances, Azure Savings Plan, Azure Hybrid Benefit… all can help you save a pretty penny if you know what you’re doing. If you’re looking to cut costs with your Azure VMs, Spot VMs can be the way to go – but the risks can be just as high as the rewards. How do you help your FinOps organization save big – and improve your chances of avoiding a complete resource shutdown?

Tired of managing your Kubernetes clusters all on your own? Don’t have the time to figure out how to deploy, run, and optimize usage? Azure has just the thing for you: Azure Kubernetes Services. This article will cover everything you need to know about Azure Kubernetes Services, how it works, what the Azure pricing will be, whether you should use it, and, if so, how to save on your cloud cost.