Operations | Monitoring | ITSM | DevOps | Cloud

Nginx is widely known for its high performance and reliability. However, just like any software running in production, it requires continuous monitoring to ensure smooth operation. Issues such as high latency, unexpected crashes, or overwhelming traffic spikes can lead to performance degradation or even complete outages. Therefore, implementing a robust monitoring strategy is crucial to maintaining the health and stability of your Nginx deployment.

Do you feel like you're solving a puzzle when deploying applications in Kubernetes? You are not alone in this! When something goes wrong during application deployment, it becomes all the more crucial to diagnose the issue methodically and get things back on track. This guide walks you through practical steps for troubleshooting deployment failures efficiently.

The Kubernetes API server is a key component in the control plane. Every interaction, whether deploying applications, scaling workloads, or monitoring system health, depends on the API server. Consider the human body: We have the brain as the critical organ, and the nerves function as the control system. The Kubernetes API server is like the nerve center of cluster management.

Persistent storage is the backbone of stateful applications running in Kubernetes. Whether you are managing databases, logs, or application states, ensuring transactional data remains intact despite pod restarts or node failures is a challenge. In this blog, we will discuss the most common persistent storage issues in Kubernetes and how to handle them with practical, real-world solutions.

Network monitoring protocols are essential for keeping your network running smoothly. They are data-collection and analysis techniques that provide insights into the health of your network and can help you identify and fix network problems before they cause major disruptions. Think of your network like a city's road system: data packets are cars, routers are traffic lights, and switches are intersections.

PagerDuty, Splunk, ServiceNow — with dozens of incident management tools on the market, how do you know which one to choose? Here's the reality — downtime costs organizations an average of $9,000 per minute. That's why companies are increasingly investing in incident management tools to reduce disruption and improve their incident response. But with the market evolving rapidly and new players emerging constantly, selecting the right tool has become more challenging than ever.

For years, the term “AIOps” has been tossed around, but for IT teams, it hasn’t really brought the change it promised. Gartner coined the term, promising that machine learning and AI would forever change how we manage IT operations. Yet, the reality has been underwhelming. For most teams, traditional AIOps has amounted to little more than event management with a shiny new label.

Time series data innovators and open source community members following us will know that we recently released two new products: InfluxDB 3 Core and InfluxDB Enterprise. InfluxDB 3 Core is a high-performance recent data engine optimized for real-time monitoring, data collection, and streaming analytics use cases. InfluxDB 3 Enterprise builds on Core’s foundation by integrating historical analysis and data compaction, enabling efficient querying over extended time ranges.

Ecommerce websites are more vulnerable than ever to cyberattacks. Among these threats, web-skimming attacks – also known as data exfiltration or Magecart attacks – stand as the number one threat, targeting sensitive customer data and payment information. RapidSpike is proud to introduce CartShark, a revolutionary cybersecurity platform that empowers ecommerce businesses to combat these threats swiftly and effectively.

Synthetic monitoring is a critical practice to proactively track the health and performance of web applications. By simulating user interactions, this approach helps developers identify issues before they impact real users. One of the simplest forms of synthetic monitoring is known as a ping check, which verifies whether an endpoint is reachable. In this blog post, we’ll take a closer look at what a ping check is, and then walk through how to perform one using Grafana Cloud Synthetic Monitoring.