Bandwidth demands per enterprise site continue to skyrocket, while additional pressure has been added to the WAN in the wake of the pandemic and shift to remote working, moving demand from well-connected offices to a scattering of disparate locations. Yet, while WAN bandwidth demands are increasing by orders of magnitude every year, budgets rarely keep pace and significant numbers of those ‘better connected’ branch locations experience network congestion during peak hours.

Several companies nowadays offer a cloud-native solution that manages Kubernetes applications and services. While these solutions seem easy at first glance, in reality, they still require manual maintenance. As an example, an important decision for any Kubernetes cluster is the number of nodes and the autoscaling rules you define.

The major challenge facing communications service providers (CSPs) is not about handling ever-growing bandwidth demands without increasing Capex. Smart selection of network technologies that leverage advances in aggregating, routing, and transmitting bits largely have the answer for that. The much more pressing challenge is on the services front, from competition, substitution, and the inability to maximize revenues. These concerns reduce the top line and restrict CSPs’ ability to maneuver.

Around the world, the pandemic tested the ability of governments to transform digitally in order to deliver uninterrupted services and to respond effectively to the demands of citizens, businesses, and global leaders in a time of crisis. From contact tracing to disbursing support packages to sharing best practices on how to contain the pandemic, governments needed to deliver these mission-critical services in a timely, secure, and compliant manner.

Development is no longer a linear journey from point A to point B. As more projects shift into a state of organic growth, user feedback and constant experimentation are increasingly becoming the norm, if not the standard for engineering. “In order to support this rapid experimentation, we’re beginning to embrace new working methods and practices,” said Vinodh Ravi, Executive Director of Platform Engineering at JPMorgan Chase.

Gatsby is a static website and application generator that makes building powerful React-based frontend applications easy and effective. With over fifty thousand stars on GitHub (51.5k as at the time of this writing), Gatsby stands as one of the most widely used React frameworks. Gatsby is so popular that most hosting platforms offer custom support for the framework. Netlify is one of those platforms.

Last month saw the first ever Civo Hackathon take place and we saw individuals and teams from across the globe submit some really exciting, innovative projects. We've also launched a new Partner Program designed to help your fledgling business grow and scale with ease. Continue reading to find out more.

Azure Data Factory is a cloud-based data integration service that allows you to orchestrate and automate data movement and transformation using cloud-based data-driven workflows. It provides a cost-effective solution whenever a dependable code-free ETL tool on the cloud with numerous integrations is required. This blog will highlight how users can use Serverless360 to manage and monitor multiple Azure Data Factories with different pipelines. Azure Data Factory consists of a variety of components like.

Cloud computing has many benefits. But there are also challenges, and cloud cost management may be one of the biggest. Here are 49 stats, benefits, and hard truths you need to know about cloud cost management, along with tips and requirements to help you take control and keep your spending in check while delivering on all the value you’re looking for.

Since I wrote Launch Ubuntu Desktop on Google Cloud last week, I kept thinking about putting Ubuntu Desktop into containers. A container is an independent unit of software packages and their dependencies so that the application on the container can run reliably in different computing environments. Docker, an open-source project launched in 2013, made Container technology popular all over the world in just a few years. Why? Let’s compare Containers and Virtual Machines.