As digital transformation accelerates across all industries, it has become increasingly important for businesses to get better, much better at the development and delivery of new software to drive revenue and engage customers in new ways. Ironically, most businesses are flying blind in how they track, benchmark and optimize their software development. Teams that consistently innovate and deliver new, high quality software quickly generate significant competitive advantage for their companies.

Platform architects, SREs, developers and DevOps staff for mission-critical modern apps know shaving 15 minutes off service incidents that take 20 minutes to resolve, four times a year, is the difference between meeting a 99.99% availability objective and missing it.

We are in the midst of an unprecedented convergence of events that are forcing enterprises to dramatically change how they secure their modern businesses. With the acceleration of digital transformation from COVID-19, work-from-home initiatives, the continued growth of SaaS and the increasing adoption of microservices-based applications, the modern enterprise threat landscaping is transforming rapidly.

Containers and Kubernetes have revolutionized the way many teams deploy applications. But with the many benefits that these technologies provide come new challenges. Key among those challenges is security. By adding more layers and complexity to application environments, containers and Kubernetes create new opportunities for attackers and new security threats for Kubernetes admins to address.

Despite all of the hype about NoSQL databases, MySQL and PostgreSQL are two database management systems that have truly stood the test of time. These systems were developed back in the mid 90’s, and they still consistently rank among the top 5 most popular databases across the internet. So why are they so widely used and how do they compare? Read on to find out!

Log analyzers are software that helps contextualize massive amounts of log data. Log analyzers reduce the amount of time that it takes to perform root cause analysis, and they provide development organizations with valuable insights that help them improve their products for their end users.

Kubernetes, as a platform, is a comprehensive set of tools for orchestrating containers at scale. It consists of a modular architecture of specific components with a defined purpose. For example, the scheduler finds the ideal match for a particular pod and the kube-proxy manages the networking between the nodes and the master.

With the growing popularity of cloud computing, security incidents related to it have been on the rise. Logs are indispensable resources for countering these threats, and they can be utilized for alerting, taking remedial action, and even preventing future attacks. In this post, we will examine ways to better secure cloud-native applications using logs.

Brief introduction to understanding Kubernetes basics Kubernetes is a broad platform that consists of more than a dozen different tools and components. Among the most important are: If you use Kubernetes to manage containers, this will require a container runtime, which is the software that runs individual containers. Kubernetes supports a number of container runtimes; the most popular are Docker, containerd, and cri-o.

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