Operations | Monitoring | ITSM | DevOps | Cloud

According to Statista, the mass volume of data created, stored, copied, and consumed in 2020 was over 64 zettabytes (ZB), or about 64 trillion gigabytes (GB). This is expected to rise to 181 ZB by the year 2025. A large portion of this data is likely to be significant to your business. It can provide you with new insights that help you improve your product, communicate with consumers, and perform risk analysis. However, you’ll need the right tools to extract, sort, process, and analyze it.

The most successful brands are data-driven. Whether it's Google, Amazon, or TikTok, they all use data to inform their next moves. But here's the thing. It's easy to collect a lot of data. Making sense of all that data is often the most challenging part. You can do that in three ways. Scripting is one option. Here, your developers code custom data integration tools in Python and Java alongside technologies like Hadoop and Spark.

If you’ve done any shopping around for a cloud cost intelligence platform, you may have heard about the “single pane of glass” approach to presenting cloud cost data. It’s a descriptive phrase uttered by almost every cloud cost company in one form or another. We may not all say it in a similar way, but it’s the same concept across the board.

In the ever-evolving landscape of IT, virtualization has established itself as an irreplaceable cornerstone. While various platforms offer virtualization services, Microsoft’s Hyper-V stands out as a robust, scalable, and user-friendly option. If you’re an IT professional, chances are you’ve come across Hyper-V at some point in your career. With its intricate features and multi-faceted architecture, Hyper-V serves as the backbone for many virtualized environments.

Have you ever wondered how to keep your digital assets truly secure in a world where cyber threats seem to evolve quicker than cybersecurity measures? If so, you might want to consider adopting a Zero Trust security model. Far from being a buzzword, Zero Trust has emerged as a holistic approach to cybersecurity that operates on a straightforward principle: “Never Trust, Always Verify”.

Google Cloud Platform (GCP) offers a wide range of features to support their core deliverable, highly available and scalable infrastructure-as-a-service. One of the features—GCP’s log management and available via GCP Log Explorer— is offered to support customers’ basic logging requirements.

Since its inception, Amazon Elastic Container Service (ECS) has emerged as a strong choice for developers aiming to efficiently deploy, manage, and scale containerized applications on AWS cloud. By abstracting the complexities associated with container orchestration, ECS allows teams to focus on application development, while handling the underlying infrastructure, load balancing, and service discovery requirements.

Hyper-V has rapidly become an indispensable tool in the system administrator’s toolkit. Not only does it provide a robust, feature-rich platform for virtualization, but it also seamlessly integrates with Windows Server, making it a must-have for any Windows-based enterprise environment. As a system administrator, you’ve probably realized that managing Hyper-V manually through its GUI can be time-consuming.

Cloud Tagging should be automated, not left to humans. Optimization in the cloud is actually really simple. Here’s how we get our customers thinking differently which in turn makes them successful. “To your developers the cloud is like a candy store is to a kid where all the candy is free”. Just as parents need to teach their kids the value of money, you need to teach your developers the value of cloud spend.