AWS re:Invent has come and gone. A great deal of fun was had along with many new insights shared. Here’s a recap from some ScienceLogicians who were in attendance.

As today’s enterprises shift to the cloud, Kubernetes has emerged as the de facto platform for running containerized microservices. And while Kubernetes operates as a single cluster, enterprises inevitably run their applications on a complex, often confusing, architecture of multiple clusters deployed to a hybrid of multiple cloud providers and private data centers. This approach creates a lot of problems. How do your services find each other? How do they communicate securely?

MongoDB has evolved into the database solution of choice for developers looking to build efficient, scalable applications in the cloud. But, as when using any cloud-based infrastructure, using MongoDB introduces an additional layer of complexity to customers’ IT spend. This week, we announced support for MongoDB on the CloudZero Platform.

In the past decade, we've seen explosive growth in the adoption of the cloud-based infrastructure model. IT organizations are increasingly choosing to reduce their up-front investments in IT infrastructure by deploying their applications into cloud environments. These environments offer on-demand availability of data storage and computing power that organizations need to handle high volumes of data and growing demand for application access and services.

Earlier this year, a new user management system was announced, designed to give Spot’s users more granular control on their Spot resources at both the organization and account levels. As we got very good feedback from customers, we are now happy to announce a new feature in the user management system called Custom Policy Conditions. The condition feature allows users with policy modification access to create conditions within the policy.

In the realm of big data, Hive is a big deal. Well-written and well-designed Hive queries accelerate data retrieval from datasets. Hive is much better than SQL as the former works with complicated data more effectively. In addition, Hive queries help bring down processing costs. This is why it’s critical to write and optimize Hive queries correctly for big data analytics users and developers.

Amazon Web Services is a major cloud services platform used by companies around the globe. Its cost-effectiveness and high agility has helped brands across all categories, verticals, and sizes scale their services quickly and efficiently. With many organizations now leveraging AWS resources to develop, build, and run business-critical applications in the cloud, it is important to track and monitor the performance of these services in real time to avoid unexpected issues.

While the COVID-19 pandemic disrupted businesses and the economy, one silver lining is that the event became a catalyst for rapid change and innovation within the enterprise. Across Sub-Saharan Africa, businesses were forced to rethink their operational processes and cater to staff caught in lockdowns turned to technology for solutions – and the cloud provided the answer. 2022 is the year of “big change” for the continent.

In the early days of SaaS companies, most engineering and cloud operations teams weren’t tasked with monitoring or optimizing cloud costs. In fact, it would have been unlikely for these teams to care about cloud cost optimization at all, let alone take measures to fix issues and look for opportunities. Today, SaaS companies that want to secure a competitive foothold and ensure long-term success have to care about cloud costs.