Operations | Monitoring | ITSM | DevOps | Cloud

Modern applications rely on microservices, making it tough to track issues across services. Distributed tracing helps by mapping a request’s journey and pinpointing latency, failures, and dependencies. Unlike traditional monitoring, tracing connects the dots between services, offering deeper visibility. But implementing it isn’t easy—it brings high data volumes, performance overhead, and complexity.

As organizations expand their AWS footprint, maintaining visibility and control over configurations can be challenging. Misconfigurations, unnoticed vulnerabilities, and compliance gaps can create serious security risks. AWS Cloud Security Posture Management (CSPM) helps teams navigate these challenges by automating security checks, ensuring compliance, and providing continuous monitoring. Here’s what you need to know about AWS CSPM and why it’s essential for securing your cloud environment.

Efficient resource utilization is key to running Kubernetes workloads smoothly. Whether you're troubleshooting performance issues, optimizing resource requests and limits, or keeping an eye on cluster health, the kubectl top command is an essential tool. It provides real-time CPU and memory usage metrics for nodes and pods, helping you make informed decisions about scaling and resource allocation.

The global cloud storage market was valued at $117.59 billion in 2024, reflecting the demand for individuals and businesses looking for a secure platform to store and manage their data. When considering cloud storage, one of the major factors that can influence a decision is pricing.

Modern IT estates are increasingly complex, generating vast amounts of data – some critical and actionable, but much of it mere noise. Extracting meaningful insights to ensure optimal system health and IT performance is beyond the scope of humans. This is where observability, enhanced by AI and automation, becomes essential.

Organizations increasingly rely on Google Cloud to power critical parts of their businesses, but managing those environments often involves navigating a labyrinth of disparate data, tools, and processes. We built Google Cloud Observability in Grafana Cloud to reduce the complexity and confusion by providing a unified, scalable solution designed to simplify monitoring, enhance visibility, and optimize costs.

For teams in many organizations, the work of IT and network management keeps getting more difficult. A recent EMA survey offers some findings that clearly illustrate this point. When respondents were asked which networking skills are the most difficult to find, several roles received a response of 30% or more, including network security, network monitoring and troubleshooting, and data center networking.

Incident management has long relied on ITSM systems designed to handle incidents through a structured ticketing queue, with a focus on compliance and data integrity. While this method brings consistency, it often slows down response times and forces teams into a reactive mode during major incidents. This outdated and fragmented approach creates inconsistencies, as automation tools are inconsistently applied and lack a unified management system.

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.

Redis is a highly efficient, versatile in-memory data store that is commonly utilized in modern applications. However, like any technology, it is not without its challenges, particularly when it comes to managing connections. By systematically reviewing Redis logs, you can diagnose and resolve these problems effectively. This blog provides an overview of Redis logs, explores their importance, and highlights how log management tools can simplify troubleshooting.