Systems Design’s Post

Free Resource for IT Leaders: Master Scalability & Resiliency 🚀 Is Your Infrastructure Ready to Handle the Future? As more organizations embrace cloud-first strategies and microservices, ensuring scalability and resiliency has never been more critical. But how do you know if your systems are truly prepared for the unexpected? We’ve created a free white paper packed with actionable insights to help you: ✅ Understand the real cost of downtime and its impact on your business. ✅ Learn step-by-step strategies for effective load testing. ✅ Explore the next generation of resiliency validation to stay ahead. 📚 Whether you're a seasoned IT leader or just starting your scalability journey, this resource will empower you to build infrastructure that stands the test of time. 🎯 Ready to future-proof your systems?

Top 5 Load Balancing Methods Explained! 🚀 In today's tech-driven world, load balancing is the backbone of system reliability, scalability, and performance. Whether you’re managing a small application or a complex cloud infrastructure, distributing requests efficiently can make or break user experience. This concise visual illustrates the top 5 load balancing strategies that engineers, developers, and architects rely on: 1️⃣ Round Robin – Distributes requests in sequential order, ensuring fair load across servers. Simple and effective! 2️⃣ IP Hash – Maps incoming requests to servers based on source IP for consistent results. Ideal for session persistence. 3️⃣ Least Connection – Sends requests to servers with the fewest active connections, balancing workloads dynamically. 4️⃣ Least Response Time – Prioritizes servers with the quickest bandwidth response for faster results. 5️⃣ Least Bandwidth – Routes requests to servers with the lightest bandwidth load to optimize speed and resource use. Why It Matters 💡 Choosing the right load balancing strategy depends on your system's needs: Round Robin for uniform traffic. IP Hash for consistent user sessions. Least Connection/Response Time for dynamic loads. Least Bandwidth for bandwidth-sensitive applications. 💭 Question to the Network: Which load balancing method have you found most effective for your projects, and why? Are there other strategies you rely on that aren’t listed here? Let’s discuss! Follow: Hamza Ali Khalid #CloudComputing #LoadBalancing #DevOps #SystemArchitecture #Scalability #MoonSys

The virtualization market is shifting, and now is the time for your customers to consider OpenShift Virtualization. Traditional market leaders are disrupting their ways of working with partners, and customers are eager for balanced solutions that can support both critical VMs and modern, lightweight technologies like containers and serverless on a single platform. Adding OpenShift Virtualization as part of your offerings will help you modernize your customers’ infrastructure while opening up additional and consistent revenue streams with: -Migration assessments -Planning and proofs of concept -Migration services -Modernizing VMs to containers -Ongoing managed service

OpenShift Virtualization helps organizations transition smoothly from older VM-based systems to newer container-based ones, without having to choose between the two. This ebook elaborates 15 reasons why adopting Red Hat OpenShift Virtualization can be a game-changer for enterprises looking to stay competitive in today's rapidly evolving technological landscape. From operational efficiencies to strategic advantages, these points underscore the transformative potential of this platform. https://lnkd.in/ds5s-u_B.

Nomad Bench: Load testing and benchmarking for Nomad Nomad Bench provides reusable infrastructure tooling, so you can load test and experiment with Nomad clusters running at scale. Read mode on following blog post!

Nomad Bench: Load testing and benchmarking for Nomad Nomad Bench provides reusable infrastructure tooling, so you can load test and experiment with Nomad clusters running at scale. Read mode on following blog post!

The latest update for #CloudZero includes "#AWS Auto Scaling 101: Tips For Success" and "Product Release Notes July 2024". #CostManagement https://lnkd.in/dMSTi7B

Nomad Bench: Load testing and benchmarking for Nomad Nomad Bench provides reusable infrastructure tooling, so you can load test and experiment with Nomad clusters running at scale. Read mode on following blog post!

The following article provides a great overview of Red Hat's Openshift-Virtualization platform and why it's the perfect choice for those infrastructure teams looking to move off of traditional hypervisors and onto an innovative platform built for future success. https://lnkd.in/e64k2a2v

The Efficient Way of Autoscaling Your Workload in Kubernetes Have you faced limited access to observability data for Horizontal Pod Autoscaler (HPA) or dealt with provisioning resources that result in unnecessary costs? Organizations often create autoscaling rules based on CPU and memory usage, but guaranteeing reliability and cost efficiency solely with CPU can be challenging in a Kubernetes environment. How can we effectively leverage observability data in autoscaling rules? Discover Keptn's Metric Server, addressing these challenges by consolidating observability data in Kubernetes. Join our presentation to see how the Keptn Metrics Server effortlessly scrapes metrics, facilitating autoscaling with HorizontalPodAutoscaler. Through a real example showcasing inefficient HPA rules, we will explain how it can enhance and optimize the autoscaling process utilizing metrics from Istio/Envoy, but also the cost of your workload. Come and learn the best practices to define the right Autoscaling policies. Bio: Henrik is a Cloud Native Advocate at Dynatrace, the leading Observability platform. Prior to Dynatrace, Henrik has worked more than 15 years, as Performance Engineer. Henrik Rexed Is Also one of the Organizer of the conferences named WOPR, KCD Austria and the owner of the Youtube Channel IsitObservable.