Site Reliability Engineering Course

  Fast-paced digital environment , system reliability and resilience have become critical concerns for organizations. As applications become more complex due to microservices, distributed architectures, and hybrid cloud environments, traditional testing methods often fall short in predicting real-world failures. This is where  chaos engineering  comes in. The goal is not to break the system but to proactively uncover weaknesses and make systems more robust. To implement chaos engineering effectively, several tools have emerged that help simulate real-world disruptions in a controlled manner. Here is an overview of some of the most popular chaos engineering tools available today.  Site Reliability Engineering Training 1. Chaos Monkey Chaos Monkey is one of the earliest and most iconic tools in chaos engineering. Developed by Netflix, this tool randomly terminates virtual machine instances in production to ensure that the application can tolerate instance failures with...

  As   modern systems   grow more complex and dynamic, organizations increasingly turn to microservices architectures to enhance scalability, agility, and resilience. However, the very features that make microservices attractive also introduce new classes of failure. From a Site Reliability Engineering (SRE) standpoint, recognizing and mitigating these failure modes is critical for maintaining system reliability and user trust. Below, we explore some of the most common failure modes associated with microservices, explaining how and why they occur and the strategies that SRE teams typically employ to address them. 1. Service-to-Service Communication Failures In a microservices environment, components frequently communicate over the network. This dependency on remote calls introduces a range of failure scenarios not commonly seen in monolithic systems.  Site Reliability Engineering Training ·           Timeouts and Latency :...

🔍 SRE vs DevOps: What’s the Real Difference? 🤔 In this insightful video by Visualpath , we break down the key differences between Site Reliability Engineering (SRE) 🛠️ and DevOps 🚀. While both aim to streamline software delivery and operations, their methods, goals, and mindsets vary. 🎯 Discover: ✅ What is SRE & DevOps ✅ Core principles and practices ✅ Real-world applications ✅ Which approach fits your team best Whether you're a tech enthusiast, developer, or IT professional, this video is your guide to mastering modern infrastructure roles! 💻📊 📺 Watch now: https://youtu.be/pEF10qjTMUA 🔔 Subscribe to Visualpath: https://www.youtube.com/@VisualPath_Pro 👍 Like | 💬 Comment | 🔁 Share | 🔔 Subscribe

  Site Reliability Engineering (SRE),  keeping systems resilient, performant, and available, is a top priority. As user demands grow and systems scale, the risks of overload, abuse, and instability also increase. To manage these risks, two key techniques are commonly used:  rate limiting  and  throttling . While the terms are often used interchangeably, they have distinct meanings and roles in maintaining system health. This article explores both concepts in detail, explaining their differences, purposes, and importance in SRE practices. What is Rate Limiting? Rate limiting is a mechanism designed to control the number of requests or actions a user or system can make over a specific period. For example, a public API might allow a user to make only 1,000 requests per hour. If the user exceeds that limit, further requests are denied until the time window resets.  Site Reliability Engineering Training The primary goal of rate limiting is to enforce fair usage ...

  In  Site Reliability Engineering (SRE),  visibility into complex distributed systems is crucial for ensuring reliability, performance, and quick issue resolution. One of the most effective observability techniques in modern architectures is  distributed tracing . It provides deep insights into how requests flow through microservices, uncovering bottlenecks, failures, and latency sources. Here are the best practices for distributed tracing in SRE that help teams maintain resilient and high-performing systems.  SRE Training Online 1. Start with Clear Objectives Before implementing distributed tracing, define your goals. Ask: Are you trying to reduce latency? Do you want to pinpoint failure points? Are you aiming to improve user experience or service-level indicators (SLIs)? Having clear objectives helps you prioritize which services to trace and which data to collect. SRE teams can then align tracing with key performance indicators (KPIs) and service-level objec...

Site Reliability Engineering (SRE), maintaining uptime, performance, and system health is not possible without robust monitoring and observability. These two pillars empower InSRE teams to detect, diagnose, and resolve incidents proactively. With modern systems becoming increasingly distributed and complex, a strong monitoring and observability stack is more than just a support mechanism—it’s a critical enabler for operational excellence. 1. Prometheus and Grafana (Open Source Stack) Prometheus is one of the most popular open-source monitoring tools in the SRE world. It uses a time-series data model and is ideal for scraping metrics from infrastructure components, services, and Kubernetes workloads. Site Reliability Engineering Training Key Features: Pull-based metrics collection via HTTP endpoints. Powerful query language (PromQL). Native integration with Kubernetes. Alerting via Alertmanager. Grafana complements Prometheus by providing customizable...