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In part one, I made the case that AWS Fargate is both a compliment to AWS Lambda and a simpler alternative to Kubernetes. But nothing makes a better case than getting our hands dirty. In this blog post, I’ll introduce a CLI tool that is Fargate’s equivalent to Kubernetes’ kubectl, and we’ll deploy a simple Flask app to demonstrate how easy it is to get started with Fargate.
Some say you have to move all of your server infrastructure into the cloud. Others counter that you should keep your data safe and secure in your own datacenter. And then there are many people in between who use cloud services as an addition to their self-hosted servers. In fact, there’s no right or wrong, because as always in IT: It depends. We at Icinga always try to find a way to make everyone happy with their monitoring – be it in the cloud or on premise.
The million dollar question ? "Encryption" is a term used sporadically and often open to interpretation. To better understand what end-to-end encryption is we have created this little example to highlight why end-to-end encryption is radically different to encryption at rest, or in transit.
Distributed tracing has become popular in recent times as the preferred way to troubleshoot complex problems in diverse, microservice-based applications. And for good reason: distributed traces give DevOps teams end-to-end visibility into user requests (transactions) as they flow through an application and interact with individual services. But one area where distributed tracing is largely underutilized is the monitoring of service availability and performance.
In a 2019 Top Trends Transforming Network Operations survey, 34% of networking pros identified improving network agility as their top business goal for the year. The stat isn’t surprising. “Network agility” is considered the future of networking, but the term itself has become a bit of a buzzword. Everyone’s talking about it, but no one can agree on its definition. So what does network agility actually mean? We surfed the web and analyzed what (almost) everyone has to say.
Today’s modern enterprises are collecting data at exponential rates, and it’s no mystery that effectively making use of that data has become a top priority for many. According to a recent survey of 2000 global enterprises by McKinsey & Company, 47% of organizations have embedded at least one AI capability in their standard business processes.
The following first appeared in Cloud Tech News. In early June 2019, Google Cloud suffered a cascading set of faults that rendered multiple service regions unavailable for a number of hours. This by itself isn’t totally unprecedented; what made it significant was the way it propagated through the very software that was designed to contain it. Moreover, engineers’ initial attempts to correct the issue were thwarted by the failure of that same software architecture.
Cloud infrastructure refers to both hardware and software components—ranging from servers to storage to networking and virtualization software—that are required to support cloud computing. Thus, cloud infrastructure optimization refers to optimizing these components for: efficiency, performance, and cost.
Diamond mining is recognized as a dangerous occupation, causing serious accidents for mineworkers across the globe. Often times, these incidents turn out to be fatal because the victim didn’t receive immediate care from first responders. However, significant strides are being made to minimize the impact of these accidents by large, international organizations.
