Kubernetes has revolutionized the world of container orchestration, enabling organizations to deploy and manage applications at scale with unprecedented ease and flexibility. Yet, with great power comes great responsibility, and one of the key responsibilities in the Kubernetes ecosystem is resource management. Ensuring that your applications receive the right amount of CPU and memory resources is a fundamental task that impacts the stability and performance of your entire cluster.

Last month, we announced our new GitOps Environment dashboard that finally allows you to promote Argo CD applications easily between different environments.

As rack densities in data centers increase to support power-hungry applications like Artificial Intelligence and high-performance compute (HPC), data center professionals struggle with the limited cooling capacity and energy efficiency of traditional air cooling systems. In response, a potential solution has emerged in liquid cooling, a paradigm shift from traditional air-based methods that offers a more efficient and targeted approach to thermal management.

CitrixBleed, or CVE-2023-4966, is now an infamous security vulnerability affecting Citrix NetScaler that allows attackers to hijack user sessions by stealing session authentication tokens. Unfortunately, it has affected many NetScaler customers including Xfinity, which lost data for 36 million customers as a result of CitrixBleed. There is no way to protect against CitrixBleed by configuring the NetScaler WAF to detect and block it.

We’ve all heard about cloud-native applications in recent years, but what about cloud-native infrastructure? Is there any reason why the infrastructure couldn’t be cloud-native, too? Or maybe it’s already cloud-native, but you’ve never had a chance to dive deep into the stack to check it out? What does the term “cloud-native infrastructure” actually even mean? The more you think about it, the more confusing it gets.

Picture this: It’s 2 p.m. and you’re sipping on coffee, happily chugging away at your daily routine work. The security team shoots you a message saying the latest pentest or security scan found an issue that needs quick remediation. On the surface, that’s not a problem and can be considered somewhat routine, given the pace of new CVEs coming out. But what if you look at your tooling and find it lacking when you start remediating the issue?

Vigilance and awareness are critical for compliance and cybersecurity maturity. If board members are not familiar with the key indicators of success for maintaining a resilient business and meeting compliance requirements, they are not fulfilling all their responsibilities. Board members need to understand the principles of their duties to alleviate potential exposure to cyber risk and other outage causing events that could harm the organization’s revenue, and reputation.

With notable advancements in Artificial Intelligence (AI) within cybersecurity, the prospect of a fully automated Security Operations Center (SOC) driven by AI is no longer a distant notion. This paradigm shift not only promises accelerated incident response times and a limited blast radius but also transforms the perception of cybersecurity from a deterrent to that of an innovation enabler.

When an incident occurs, every second counts. On-call staff need to quickly get all the relevant information in front of them in a way that’s easy to digest so they can more successfully investigate the issue and communicate with relevant stakeholders.

OpenTelemetry vs Prometheus is a commonly searched and debated topic in the Observability and monitoring space. While both platforms are widely used in software and infrastructure management today, most people don’t understand the difference between the two. Both platforms stand as robust tools in the realm of observability, each offering unique capabilities. OpenTelemetry offers a uniform approach for gathering, instrumenting, and exporting telemetry data.