Operations | Monitoring | ITSM | DevOps | Cloud

While downtime is inevitable, communication should remain swift and transparent. Businesses need a way to relay updates as incidents unfold, ensuring customers, internal teams, and stakeholders stay informed in real time. Relying on emails and web-based updates alone is no longer enough. A mobile-first approach is the solution.

Did you wake up to the news that your favorite tool was acquired? You probably got used to the tool's intuitive interface, cost-effectiveness, and feature set, which aligned perfectly with your day-to-day requirements. Your disappointment doesn't end here. It's just the beginning of a series of potential negative consequences of acquisitions.

Use case 1: When unexpected traffic surges lead to slower responses A sudden surge in user traffic during a high-demand event causes strain on resources in a cloud-based application running on App Engine. The platform automatically scales instances to handle the increased load, but since compute resources are shared, some instances experience CPU throttling. This leads to slower response times, delayed processing of critical operations, and potential errors that impact user experience. How to resolve it.

Cloud architecture diagrams play a crucial role in communication, planning, and execution within the realm of cloud computing. They provide a visual depiction of the infrastructure, highlighting the interconnections between different components and their collaborative functionality. In this guide, we will delve into the five fundamental factors that every cloud architect should consider when crafting a cloud infrastructure.

Kubernetes has become the go-to platform for managing containerized applications, but its architecture can seem complex to DevOps teams. Let’s break it down into simple terms and explore how tools like Site24x7 can simplify the process of designing and monitoring Kubernetes architecture.

Designing AWS architecture is a complex task. It requires careful planning; a deep understanding of cloud services; and the ability to balance performance, cost, security, and scalability. As organizations migrate to the cloud or expand their existing cloud infrastructure, they often face several challenges that can impact the success of their architecture. Once the architecture is deployed, effective cloud monitoring becomes critical to ensure optimal performance and reliability.

During a routine network check, your network bandwidth monitoring tool flags an unusual spike in bandwidth usage from a critical server. Further investigation reveals an unauthorized data transfer attempt originating from a misconfigured device. What would have happened if the IT team did not have a monitoring tool to identify the spike? Without the right tools, this simple red flag could escalate into a costly disaster: ransomware, compliance fines, or even operational paralysis.

Apache Kafka is a distributed event streaming platform designed to handle large volumes of real-time data. It is widely used for messaging, logging, event processing, and real-time analytics. Kafka is known for its ability to handle high throughput, fault tolerance, and scalability, making it an essential tool for modern data-driven applications. Kafka operates with three main components: Latency refers to the time delay between when a message is produced and when it is consumed.