Operations | Monitoring | ITSM | DevOps | Cloud

Ruby on Rails is the go-to framework for organizations to build flexible, database-driven web applications with high speed and efficiency. Enterprises of all sizes rely on it to build user-friendly applications. But like any other modern web stack, optimizing the performance, availability, and reliability of Rails applications, especially in production environments, requires more than just reactive bug fixes.

In today’s digital world, how well your applications perform has a big impact on how people see your business, and how well it runs. Whether you are in finance, e-commerce, SaaS, healthcare, or media, your users expect everything to work smoothly, all the time. Even a few seconds of slow performance can lead to lost sales, lower productivity, and unhappy customers. That’s why Application Performance Monitoring (APM) is so important.

FinOps is booming as a function. The global cloud FinOps market will grow from $13.5 billion in 2024 to $23.3 billion in 2029 — a compounded annual growth rate (CAGR) of 11.4%, according to Research and Markets. That’s in response to sharp increases in cloud spend. About $723 billion is expected to be spent on public cloud services in 2025, up from $596 billion the year before according to a Gartner report.

When organizations first begin deploying workloads on Kubernetes, it's common for them to start with a permissive egress traffic policy that allows any workload to reach the internet. This approach can make it easier for teams to stay agile and to get services up and running in fast-moving environments. But as your Kubernetes footprint grows, it's important to minimize public internet access on a per-workload basis to improve your organization's security posture.

SAP Customer Experience (CX) has undergone a remarkable transformation over recent years, evolving from fragmented monitoring to a scalable, automated observability powerhouse. In a recent fireside chat, Martin Norato Auer, SAP CX’s VP of Observability, shed light on the strategies, practices, and measurable impacts behind SAP’s SLA, uptime, and responsiveness achievements.

Developer productivity is top of mind for all engineering organizations. As AI accelerates software development, leaders face a fundamental question: Are we truly building faster, or just building more? And more importantly, are we building the right things, and building them well? In this new era, speed alone isn’t enough. High-impact teams must ensure their work aligns with customer value and is delivered with exceptional quality.

Heroku and Azure offer distinct benefits for startups and mid-size companies. This guide compares the differences between pricing, scalability, security, and developer experience to help you choose the right cloud platform based on your team’s needs and growth goals.

At this year’s AWS Summit in New York, agentic AI took center stage with Amazon’s launch of Bedrock AgentCore — a powerful step toward turning AI prototypes into scalable, production-ready applications. From low-code workflows to turnkey infrastructure, a new generation of tools is enabling teams of all skill levels to build, deploy, and monitor AI agents faster than ever.

Modern systems generate enormous amounts of telemetry. The hurdle is collecting clean, connected traces without rewriting code or babysitting a fleet of language agents. That’s why Coralogix backed eBPF from the start. eBPF (extended Berkeley Packet Filter) executes sandboxed programs inside the Linux kernel, without modifying kernel source code. This method allows probes to see every request, at runtime with no instrumentation, and with near zero per‑request overhead.