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🚀 Excited to kick off Day 21 of our DevOps-K8s exploration! 💡 Ready to dive into Kubernetes and its superiority over Docker Swarm, backed by real-world examples! 🔍 Introduction to Kubernetes: Kubernetes, the industry-leading container orchestration platform, revolutionizes how organizations deploy, manage, and scale containerized applications. Originally developed by Google, Kubernetes has evolved into the gold standard for automating container operations, enabling seamless deployment and management across diverse environments. 💪 Advantages of Kubernetes over Docker Swarm: 1️⃣ Scalability: Kubernetes excels in dynamically scaling applications to meet varying demand. Whether it’s handling sudden traffic spikes or scaling down during lulls, Kubernetes ensures optimal resource allocation and performance, keeping applications responsive and cost-effective. 2️⃣ High Availability: Kubernetes incorporates built-in features for high availability, ensuring that applications remain accessible even in the face of failures. With automated failover and self-healing capabilities, Kubernetes minimizes downtime and maintains service reliability, crucial for mission-critical applications. 3️⃣ Flexibility: Kubernetes offers unparalleled flexibility, supporting deployment across diverse environments, including on-premises data centers and multiple cloud providers. This flexibility empowers organizations to adopt a hybrid or multi-cloud strategy, leveraging the best of different environments without vendor lock-in. 4️⃣ Ecosystem: Kubernetes boasts a robust ecosystem of tools and integrations, facilitating seamless integration with existing systems and workflows. From monitoring and logging to continuous integration and delivery (CI/CD), Kubernetes integrates with a wide array of technologies, enhancing productivity and accelerating innovation. 🌟 Real-Based Usage Example: 🔍 Consider a software development company launching a new mobile application. With Kubernetes, the company orchestrates its containerized microservices, ensuring smooth deployment and scaling as user demand fluctuates. During peak usage periods, Kubernetes automatically scales resources to meet the increased load, providing a seamless user experience. In contrast, let’s envision the same scenario with Docker Swarm. As the application gains traction, Docker Swarm struggles to efficiently manage the growing number of containers, leading to performance degradation and potential downtime, tarnishing the user experience and brand reputation In conclusion, Kubernetes emerges as the undisputed choice for container orchestration, offering scalability, high availability, flexibility, and a thriving ecosystem. Real-world deployments underscore its superiority over Docker Swarm, empowering organizations to thrive amidst digital transformation. #Kubernetes #DockerSwarm #ContainerOrchestration #DevOps #CloudNative #RealWorldUsage #devopstools #devopscommunity #devopslearning 

Ahead of KubeCon + CloudNativeCon EU 2024, here's what's at the top of today's savvy DevOps thought leaders' minds. https://lnkd.in/emJ8wzYK #kubecon #devops #developers #cloudnative

🚀 Part 2: Embracing a Unified API for Streamlined Development 🚀 In Part 1, we discussed the hidden costs of fragmented tooling and complexity in modern tech stacks. Today, let’s dive into a transformative idea: a single API for all infrastructure and application needs, especially through Kubernetes. This isn’t just about tech—it’s a game-changer for efficiency, innovation, and growth. Here’s why a unified API matters. 👇 🔍 The Vision of a Single API Imagine if all infrastructure—databases, storage, compute—could be managed through one consistent interface. With Kubernetes, this is within reach. Developers interact with one API to request resources across any cloud, eliminating the need to juggle tools like Terraform, Jenkins, AWS, or GCP. Instead of fighting complexity, developers focus on building the product. 🌟 Why A Unified API is a Game-Changer •🚀 Simplified Workflows: Developers define what they need and let the platform handle the rest, focusing on code, not configurations—enabling smoother workflows. •💼 Consistency Across Environments: Whether in development, testing, or production, a single API standardizes deployments, reducing bugs and ensuring predictable environments. •📈 Boosted Productivity: With fewer tools to learn, developers spend more time on innovation, less on tool management. 🔧 Making the Vision Real with Platform Engineering Platform engineering teams make this vision real by using tools like Crossplane to extend Kubernetes beyond containers. Imagine Kubernetes as a control plane handling not only workloads but also databases, storage, and cloud services—without developers needing cloud details. With this setup: 1.🛠️ Developers make a simple API request for a database or resource. 2.🚀 Crossplane translates it into cloud configurations, provisioning resources automatically. 3.🔒 Security, compliance, and best practices are built in by platform engineers, giving developers a seamless, safe experience. 🔥 Why This Matters A unified API isn’t just a convenience; it’s a strategic edge. It means faster onboarding, consistent environments, lower risk, and an empowered dev team ready to innovate. In a landscape where speed and agility define success, this simplicity is a major advantage. 🔮 What’s Next in This Series? Next up, we’ll look at how platform teams can define “golden paths,” enforce standards, and reduce onboarding time—further simplifying and accelerating development. The takeaway? The future is a world where developers interact with a single API, focusing solely on building, while platform teams manage complexity in the background. Stay tuned for Part 3! 🔗💡 #PlatformEngineering #DeveloperExperience #UnifiedAPI #Kubernetes #Innovation #CloudNative #SingleAPI #DevOps #TechLeadership #IDP

🚀 Chapter 3 is Live! 🚀 I’m excited to share the next chapter in my journey of modernizing tech infrastructure across multiple companies. In Chapter 3, we dive into: "Breaking the Monolith: Our Path to Microservice Freedom" 🧱 In this chapter, I explore the challenges and rewards of transitioning from a massive, tightly coupled system to a scalable, independent microservices architecture. From development bottlenecks to scaling wins, this shift was a game-changer. Curious about the journey from monoliths to microservices? Check it out, and let me know your thoughts! #Microservices #TechTransformation #Agile #DevOps #Scalability #Innovation https://lnkd.in/eFbBVpSP

#Kubernetes Explorer has been designed to allow DevOps teams, Site Reliability Engineers and software engineers to easily understand disparate Kubernetes components, detect issues quickly, uncover root causes and resolve them faster than ever before. https://lnkd.in/gE-udqce

ICYMI - we shared some big news at KubeCon + CloudNativeCon! 👀 Check out APMdigest’s coverage of our Kubernetes Explorer launch to learn how we’re helping DevOps teams, SREs, and software engineers quickly identify and resolve issues in distributed Kubernetes stacks. 👇 #CloudNative #Kubernetes #DevOps #AI #observability

Last month, Harness achieved a position in the Gartner Leaders Quadrant for DevOps. As we continue our journey toward solidifying our leadership in SDLC space, we've expanded our platform with an impressive yet powerful lineup of products and capabilities. Read more here: https://lnkd.in/gzgM-THT #harness #sdlc #ai #devops

Tekton CI/CD Overview ~ 🚧 Tekton is a kubernetes-native, open-source framework under the Continuous Delivery Foundation, facilitating the creation of modern CI/CD systems. It provides a set of components to define, run, and manage CI/CD pipelines. 🏮 Key Components: - Steps: Basic units in a pipeline, representing single atomic operations, run in containers. - Tasks: Collections of Steps executed in a specific order, run as pods. - TaskRuns: Execute Tasks, providing execution and status details. - Pipeline: Defines a workflow composed of ordered Tasks. - PipelineRun: Executes Pipelines, monitoring progress and completion. - Workspace: Shared volumes allowing data sharing between Tasks and Pipelines (e.g., ConfigMap, PersistenceVolumeChain, Secrets). 🏮 Workflow: - Steps and Tasks: Define operations and group related Steps. - TaskRuns: Execute defined Tasks, providing status updates. - Pipelines: Define workflows with ordered Tasks, executed sequentially, concurrently, or as a DAG. - PipelineRuns: Execute Pipelines, creating TaskRuns for each Task. 🏮 Tekton Triggers: - Events: External triggers for CI/CD processes like code commits or PR merges. - TriggerTemplates: Defines a set of parameters for a pipeline to be triggered. - TriggerBindings: Binds parameters defined in TriggerTemplates to actual values. - EventListeners: Listens for events and triggers the execution of Pipelines or Tasks. 🏮 Benefits: - Kubernetes Native: Utilizes Kubernetes resources and concepts. - Reusability: Tasks can be reused across multiple Pipelines. - Scalability: Scales seamlessly with kubernetes clusters. - Extensibility: Easily extend with custom Tasks. Tekton emerges as a powerful, Kubernetes-native solution for building flexible and efficient CI/CD pipelines. Its modular architecture, integration capabilities, and trigger framework make it a compelling choice for modern DevOps workflows. CodeGiant's CI/CD pipeline is built on the powerful Tekton framework, with a visual pipeline builder, that simplifies the creation and management of complex pipelines. CodeGiant CI/CD supports both Tekton syntax and GitLab Runner syntax, offering flexibility for diverse workflows; https://hubs.li/Q02p6mmX0 #cicd #tekton #git #devops #cloud #us #startuplife #kubernetes

Adopting DORA Metrics can be *way* more challenging than it seems. It's tough to know where to capture metrics from, how to ingest and calculate them, how to make sure they're reliable; and even once it's all set up, it's tough to know what to do with them. Check out my latest post with Kassen Qian and Addie B. to learn some of the best practices we use at Datadog, and how you can set up our new public beta to start tracking your DORA metrics today! #dorametrics #dora #devops #Datadog #cicd #sdlc

good summary with little to add. let's see what the field evolves to in the next years.