The latest News and Information on DevOps, CI/CD, Automation and related technologies.
As companies adopt container technologies, they face a significant challenge - how do we secure this new attack surface? It’s an issue that you often see backlogged in favor of solving storage, networking and monitoring issues. Add on the challenge of educating the workforce on one of the fastest-growing open source projects to date, and it’s no wonder security has lagged as the primary focus for teams.
Cloud environments are always susceptible to security issues. A significant contributor to this problem is misconfigured resources. Traditional IT Infrastructure was somewhat static; server hardware only changed every few years. With few changes occurring, security was also more static. The modern cloud environment is a much different challenge. In cloud environments, servers, services, and storage are created with automation, resulting in a dynamic and potentially ever-changing server environment.
Are you or your team currently looking for your next-generation architecture? Or perhaps are you already there, but looking for the best way to automate and manage it. In this blog, we’re going to talk about deploying Rancher environments using the power of env0. Rancher is a complete software stack for teams adopting containers.
We recently surveyed 700 DevOps and IT practitioners around the world and found that more than 80% of organizations have experienced a significant increase in pressure on digital services since the start of the pandemic. Compared to 6 months ago, respondents reported a 47% increase in the number of daily incidents, and 62% of DevOps and IT responders work at least an extra 10 hours per week resolving incidents.
There’s an AI-led developer and operations (DevOps) evolution afoot which is stoking SREs’ increasingly critical efforts to assure and improve the customer experience by automating the toil out of observability. This movement feeds on a supercharged process of turning telemetry into actionable insight by automatically drawing anomalies, changes and events out of the full-stack event and telemetry data, and analyzing it for correlation and causality.
