Join us tomorrow, October 29th, at 6 PM EST for a special edition of the Kura Labs Speaker Series! Ibrahima Diallo, former Kura student, and current SRE at Morgan Stanley will join Sheldon Gilbert and the students of Cohort 5. In this engaging fireside chat, Ibrahima will walk us through his inspiring journey from Traffic to Terraform and share insights into his work with automated infrastructure deployments at one of the world’s leading financial institutions. Don’t miss this fantastic opportunity to learn from a Kura Labs success story and dive into the fields of Site Reliability Engineering (SRE) and cloud infrastructure. Please register now to join us via this link: https://lnkd.in/eCH_56nx #KuraLabs #SpeakerSeries #SRE #CloudInfrastructure #DevOps #AlumniSuccess #TechTalk #Terraform #GitHubCopilot #Automation
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Did you find creating multi-node cluster complex? Understanding and implementing multi-node clusters is more than a technical skill—it’s a strategic advantage for modern infrastructure. If you’re looking to build resilient, scalable, and high-performing systems, multi-node clusters should be part of your roadmap. In the era of distributed systems, scaling and reliability have become essential requirements for modern applications. One of the most effective ways to achieve this is by leveraging a multi-node cluster. But what exactly is it, and why is it crucial for today’s infrastructure? What is a Multi-Node Cluster? A multi-node cluster is a group of interconnected machines (nodes) working together to function as a single system. Each node plays a distinct role, yet collectively, they enhance performance, scalability, and fault tolerance. Why Use Multi-Node Clusters? ??High Availability: If one node goes down, other nodes ensure that services continue to run without disruption. ??Scalability: Easily add more nodes to the cluster as your workload grows, ensuring seamless scaling. ??Load Balancing: Distributes tasks across multiple nodes, reducing bottlenecks and improving application responsiveness. ??Resource Optimization: Clusters enable better utilization of CPU, memory, and storage by spreading workloads efficiently. How It Works in Kubernetes ??If you want to create a multi-node cluster in kind, then checkout this blog with detailed explanation and demo: https://lnkd.in/g2GhDh4C ??If you want to create a multi-node cluster in minikube, then check out this link: https://lnkd.in/g6d4q-qM In Kubernetes, a multi-node cluster is the backbone of its architecture: ??Master Node: Orchestrates workloads, manages cluster state, and ensures the desired state of applications. ??Worker Nodes: Execute workloads (pods) and communicate with the master node. This architecture enables Kubernetes to manage containerized applications effectively, ensuring fault tolerance and scalability. If you are enthusiast to learn more about devops and cloud technologies, then don't forget to follow Harshit Sahu. Challenge - ?? #Day62 of the #90DaysOfDevops Challenge! ?? #DevOps #Kubernetes #CloudComputing #Infrastructure #40daysofkubernetes #cka #k8s #kind #minikube
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???????? ???? ???? ?????????? ?????? ???????? ???????????????? ???? ?????? ?????????????? ???????????????????????? ???? ??????????????????? In traditional setups, isolating services across multiple VMs can quickly become resource-intensive and costly. But there's an alternative that’s both efficient and scalable: ?????????? ????????????. ?? Docker uses containers to run multiple services on the same OS, providing isolation without the need for separate VMs.? ?? Each container holds its own environment, ensuring that services remain independent, secure, and lightweight.? ?? By sharing the same OS kernel, containers use fewer resources, optimizing your infrastructure costs. ???????? ???????? ???????? ???????? ?????? ????????Reduced VM costs, improved resource utilization, and a flexible way to manage services independently. ?????? ???? ?????? ?????????? ???????????? ?????? ?????????????? ???????? ????????????????????????????? ???? ???? ???????????????? ???????????? ???? ???????? ?????????????? ????????????. ?? If you are new to this series, please don't forget to see my previous post for clarity. ???????? ?????????????????? ???? ?????????? ????????. #Day47 #DevOps #DevopsTraining #DevOpsCommunity #AWS? #CI #Docker
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Exciting News! Yesterday, We had the privilege of engaging in an insightful discussion with Marichris Espinosa regarding a potential collaboration between Clahan Technologies and the Cloud Native Computing Foundation (CNCF). At Clahan Technologies, we are passionate about driving innovation in cloud-native technologies, DevOps, and Kubernetes ecosystems. Collaborating with CNCF aligns perfectly with our vision of fostering technological advancements and contributing to the community. We are truly excited about the opportunities this partnership could unlock for Clahan Technologies to the broader tech community. We are looking forward to exploring this collaboration further and making impactful contributions together! #CNCF #Collaboration #CloudNative #Innovation #ClahanTechnologies #Kubernetes #DevOps #CloudComputing #OpenSource #TechLeadership #DigitalTransformation #SRE #DevSecOps #FutureOfTech
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Kubernetes Scaling Strategies Each scaling strategy offers a unique approach to efficiently manage resources and ensure optimal performance: 1.Horizontal Pod Autoscaling (#HPA): Automatically scales the number of pods in a deployment or replica set based on observed CPU utilization or other select metrics. 2. Vertical Pod Autoscaling (#VPA): Automatically adjusts the CPU and memory resources allocated to pods in a deployment or replica set. 3. Cluster Autoscaling: Dynamically adjusts the number of nodes in a Kubernetes cluster based on the demands of the workloads and resource availability. 4. Manual Scaling: Involves manually setting the number of replicas in a deployment or replica set, using a command like kubectl scale-replicas desired_replica_count object_type/object_name 5. Predictive Scaling: Uses advanced algorithms and Al, like in #PredictKube, to forecast future demand and proactively scale resources before they are needed. #azure #devops #kubernetes #k8s
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This week I attended, for the first time, #AWSFSI and #AWSSummit. Best view of any event of such magnitude is always from the stage. I was privileged enough to share the view with Des Field Corbett and Jean-Francois L. and talk about a topic that is very close to my heart: #PlatformEngineering(PE). Here are some key takeaways: PE needs to serve the whole organisation and therefore a multitude of #Stakeholders. I call this OrgOps. PE needs to evolve from a Tools Framework towards an #ExperienceFramework. Tooling will stay important but mainly for #DevOps engineers while for the other Stakeholders they will tend to become invisible. The Journey from DevOps to PE used to be long and risky. Not so much today though as, there are more and more initiatives around identifying Golden Paths or #ReferenceArchitecture. One such initiative is the fantastic work done by #TAB Cloud Native Computing Foundation (CNCF). In my perspective we are entering the #AgeOfPlatforms. The same teams that built the first successful platform will have to handle different classes of Business Problems with different flavours of the core platform. So, what #Platforms are you working on right now? What is your next transformation about? AI, Virtual reality, Quantum Computing? Happy to hear more from you on any reality or medium you want to engage with me.
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Recently, our server faced a major challenge—a sudden traffic spike caused a crash. To ensure such incidents don’t disrupt our services again, we explored scalable solutions. Initially, we considered leveraging auto-scaling groups with EC2 instances and a load balancer. While effective, this approach seemed cumbersome for managing frequent deployments. To streamline the process, we decided to containerize our backend services and dive into Kubernetes. With its powerful orchestration capabilities, Kubernetes will handle auto-scaling, deployment management, and ensure high availability for our applications. This journey into containerization and Kubernetes is not just about scaling infrastructure but also about embracing reliability and automation. Here’s to building systems that grow with us! ???? #Kubernetes #CloudComputing #AutoScaling #DevOps #TechGrowth #SDE
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#Startups join us for an insightful webinar with our partner Drata on everything #compliance ??next Tuesday, July 16th at 10am BST. Whether it’s #SOC2 or #ISO, or another compliance framework that your investor or next customer will ask you about - put it on autopilot with Drata! Alex Llobet George Bonser Karen Runyan Carina Challenger
?? Learn how to put your startup's #compliance program on autopilot with Drata and AWS Partners in our upcoming webinar! Save your spot for Tuesday, July 16 at 5 a.m. ET for an informative session covering topics like: ? Why compliance matters to startups and common challenges in the industry ? An overview of compliance frameworks including #ISO27001 and #SOC2 ? Success stories from other startups on achieving and maintaining #compliance ? A Q&A with leading experts in the industry Registration is open, don't miss out ???? https://lnkd.in/eezMczSJ
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Exciting News! Yesterday, I had the privilege of engaging in an insightful discussion with Marichris Espinosa regarding a potential collaboration between Clahan Technologies and the Cloud Native Computing Foundation (CNCF). At Clahan Technologies, we are passionate about driving innovation in cloud-native technologies, DevOps, and Kubernetes ecosystems. Collaborating with CNCF aligns perfectly with our vision of fostering technological advancements and contributing to the community. I am truly excited about the opportunities this partnership could unlock, not only for Clahan Technologies but also for the broader tech community. Looking forward to exploring this collaboration further and making impactful contributions together! #CNCF #Collaboration #CloudNative #Innovation #ClahanTechnologies #Kubernetes #DevOps #CloudComputing #OpenSource #TechLeadership #DigitalTransformation #SRE #DevSecOps #FutureOfTech
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?? Simplify Kubernetes Monitoring with Container Insights! Struggling to set up alarms for your Kubernetes infrastructure? Don’t worry—there’s a simpler way! Container Insights makes it easy to: ? Set up alerts for CPU, memory, and network usage of pods and nodes. ? Track issues like pod restarts, crash loops, and other events through an intuitive dashboard. ? Manage your infrastructure without the complexity of Prometheus. While Prometheus is a powerful tool, if you’re just starting out and need quick, straightforward monitoring, Container Insights is a perfect choice. Ready to make Kubernetes monitoring easier? Let’s dive into Container Insights! ?? https://lnkd.in/e2sPuJr3 #Kubernetes #DevOps #MonitoringTools #CloudNative #ContainerInsights #aws #devopsengineer #k8s #eks
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???? **Embrace the Future of Development: Containerization with Docker in Azure** ????? In the ever-evolving landscape of technology, the quest for efficiency and agility leads us to the shores of innovation. Docker and Azure stand at the forefront, heralding a new era in development and deployment. ?? Picture this: your projects, wrapped in the secure, portable embrace of Docker containers, seamlessly transitioning from development to production in the cloud-scape of Azure. This is not just about streamlining processes; it's about redefining boundaries, turning ideas into realities at unprecedented speed. ????? Let's unite, pioneering spirits, as we sail into this horizon where complexities dwindle and opportunities stretch infinite. With Docker and Azure, we're not just building software; we're crafting the future. Ready to turn visions into legacies? ???? #Docker #Azure #FutureOfDev #InnovationUnleashed #TechVisionaries
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