The latest News and Information on Cloud monitoring, security and related technologies.
Today’s decision-making is different than even a few years ago. More “data” is used, and the data inputs take several forms, including humans. A big part of today’s strategy and decision-making at enterprise-class organizations are committees, made up of a company’s subject matter experts and relevant stakeholders for a critical company initiative.
We’ve seen time and again how serverless architecture can benefit your application; graceful scaling, cost efficiency, and a fast production time are just some of the things you think of when talking about serverless. But what about serverless security? What do I need to do to ensure my application is not prone to attacks? One of the many companies that do serverless security, Protego, came up with an analogy I really like.
Migrating workloads to the cloud can be tricky. In fact, a study Virtana conducted earlier this year found that 72% of respondents had to move applications back on-premises after migrating them to the public cloud because they ran into a variety of problems. Clearly, organizations need to address these showstoppers.
How can you run a fully managed Kubernetes in a private cloud at half the cost of Amazon EKS (Elastic Kubernetes Service)?
Migrating your organization’s applications to the cloud is no small task. Before planning and execution can even be fathomed, many of our customers’ first challenge is to create a data-driven business case for management buy-in.
Inevitably, in the lifetime of a service or application, developers, DevOps, and SREs will need to investigate the cause of latency. Usually you will start by determining whether it is the application or the underlying infrastructure causing the latency. You have to look for signals that indicate the performance of those resources when the issue occured.
