Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

What do you get when you throw 50,000 attendees together with Darth Vader and Obi-Wan Kenobi in Las Vegas? Lightsaber battles and demos from Cribl Jedis fighting for the liberation of customer data from vendor lock-in, of course! AWS re:Invent 2022 was a total hit this year and we had such a great time showcasing to AWS customers how easy it is to realize the full potential of the cloud by unlocking data first. The week was full of exciting new launches, talks, happy hours, and more!

Amazon’s Elastic Compute Cloud (EC2) service provides a variety of virtual machines (instances) for compute workloads. Among those, Amazon EC2 M5 instances are among the most versatile. In addition, there are different types of M5 instances available. Each of these has its own best use case. In this guide, we share an in-depth look at M5 instance types, sizes, and when to use them.

Amazon recently concluded their five-day long conference, AWS re:Invent 2022. This year’s conference was hybrid with the company streaming a significant portion of their in-person conference for free. For ten years now, the event has seen attendees across the cloud continuum come together to learn, share and get inspired. This year was no different as we saw some of the biggest names in cloud computing make their presence felt at the conference in Las Vegas.