Pulumi’s Post

💡 Observability: The Secret Weapon for Reliable Systems 🔍⚙️ In today’s tech landscape, where applications span multi-cloud environments, microservices, and containers, achieving reliability is a challenge. That’s where monitoring and observability step in—they’re not just tools; they’re your competitive edge. The Why: 🔹 Proactive Problem Solving: Monitoring catches issues early, and observability goes a step further—helping you uncover the root cause before users feel the impact. 🔹 Optimized Performance: Deep insights into system behavior enable you to fine-tune your architecture for peak efficiency. 🔹 Better Collaboration: Observability tools break down silos, providing teams a shared understanding of system health and performance. The What: Let’s clarify the distinction: Monitoring: “Is the system up and running?” Tracks predefined metrics like CPU, memory, and latency. Observability: “Why is the system behaving this way?” Enables you to analyze logs, traces, and events to gain actionable insights. The How: 1️⃣ Start with Design: Build systems with observability in mind—ensure every service logs key events, generates traces, and outputs relevant metrics. 2️⃣ Monitor Critical Metrics: Focus on what matters most to your users (e.g., response time, uptime, error rates). 3️⃣ Invest in Automation: Use smart alerts to stay informed about issues without overwhelming your team with noise. The Impact: Observability isn’t just a safety net—it’s a growth driver. Teams with clear visibility into their systems can: Innovate faster with confidence. Deliver seamless user experiences. Minimize downtime and build trust. In the race to build reliable, high-performing systems, monitoring and observability aren’t optional—they’re your strongest allies. What’s your observability strategy? 🚀 #Observability #DevOps #Monitoring #SystemReliability #CloudInfrastructure #ContinuousImprovement #EngineeringExcellence

*Unlock the Power of Distributed Monitoring with OpenTelemetry!* As systems become increasingly complex and distributed, monitoring and troubleshooting have become a significant challenge. That's where OpenTelemetry comes in! OpenTelemetry is an open-source framework that enables you to collect, analyze, and visualize telemetry data from your distributed systems. With OpenTelemetry, you can: - Gain visibility into your system's performance and behavior - Identify bottlenecks and areas for optimization - Improve your system's reliability and scalability Check out this informative article from CodeSee to learn more about OpenTelemetry and how it can help you master distributed monitoring *Key benefits of OpenTelemetry:* - Unified telemetry data collection and analysis - Improved visibility into system performance and behavior - Enhanced troubleshooting and debugging capabilities - Scalable and flexible architecture start unlocking the full potential of your distributed systems, for more insights related to open telemetry, checkout the below blog! https://lnkd.in/gdKGWsFH #OpenTelemetry #DistributedMonitoring #SystemPerformance #Reliability #Scalability #Monitoring #DevOps #CloudNative

What's the difference between monitoring and observability? Our latest blog explains how observability is considered critical in modern, complex, and dynamic systems, where traditional monitoring may fall short of providing a complete understanding of system behavior. Get the full picture and optimize your system management today! https://buff.ly/3ROJZxO #DevOps #tech #blog #miraclesoft

Open source has become a cornerstone of modern software development, fostering innovation, collaboration, and rapid advancement across industries. By making source code freely available, open source allows developers worldwide to contribute, adapt, and improve software, accelerating the creation of cutting-edge technologies. This collaborative model also promotes transparency, security, and trust, as communities can openly review and refine code. From powering cloud infrastructure to driving advancements in artificial intelligence, open-source projects have democratized technology, enabling both individuals and organizations to harness the power of shared knowledge for collective progress

𝐓𝐨𝐩 5 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂)! In today's fast-paced tech world, automating infrastructure with 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂) has become essential for organizations aiming for efficiency and scalability. Here are the top 5 benefits of implementing IaC: 1️⃣ 𝐂𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲 & 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐢𝐳𝐚𝐭𝐢𝐨𝐧 Say goodbye to manual configurations! IaC ensures consistent and repeatable infrastructure across environments. 2️⃣ 𝐅𝐚𝐬𝐭𝐞𝐫 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Automate provisioning with code, and deploy infrastructure in minutes, not hours. 3️⃣ 𝐂𝐨𝐬𝐭 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 Optimize resource usage and avoid unnecessary costs with automated infrastructure scaling. 4️⃣ 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 Codify security measures, and easily integrate them into your infrastructure deployments. 5️⃣ 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 Track changes, roll back easily, and collaborate more effectively with your team using version-controlled infrastructure. Ready to revolutionize your infrastructure? #IaC #CloudComputing #DevOps #Automation #TechInnovation #InfrastructureAsCode #DigitalTransformation Gaurav Sutaria Taral Shah

Take a look at my latest engineering blog, where I discuss how we internally utilized our product to build a scalable monitoring system. #cribl #observability #techblog

How can AI-driven network observability transform enterprise infrastructure management in the cloud-first era? Kentik's appointment of Jason McKerr as SVP of Engineering signals a strategic focus on advancing AI-powered network observability. McKerr's extensive background at Pendo, Red Hat, and Puppet Labs brings valuable experience in scaling technical operations and automation solutions. The most compelling aspect is McKerr's vision for integrating AI capabilities to enhance network reliability while optimizing performance. His track record in building enterprise-grade solutions aligns with Kentik's mission to empower organizations through comprehensive network intelligence. Key takeaway: McKerr's emphasis on simplifying complex network operations while leveraging AI capabilities represents a pragmatic approach to modern infrastructure challenges. #observability #NetworkIntelligence #CloudInfrastructure

what to do when your iac deadlocks? - Fixing networking at Entro Security, part 3 Last post, we migrated our infrastructure using blue/green methodology (https://lnkd.in/dcpBBy4i 🟩 🟦 In this post I'm going to share one of the challenges we had along the way 🦾 Surprisingly, the hard part wasn’t creating new resources or re-routing traffic to our app, but tearing down old resources. The issue is stack dependencies in Cloudformation. ⛓️ As CDK is basically Cloudformation with extra steps it has all of Cloudformation’s pitfalls and some of its own. The issue was that due to CDK autogenerated imports and exports, removing a resource before its dependency resulted in an unremovable zombie reference, breaking the stack. ⛓️💥 Small note - I’ve understood that lot of people look down on CDK but often overlook the great impact on developer approachability - stuff for another vlogpost where I describe how developers at Entro took control and ownership over their infrastructure 🙌 🔧 To fix it, we: 1. Cleaned up dependencies between stacks - we had a specialized deployment to remove the specific dependencies before the removal of the resources 🧹 2. 🔖 Reorganized imports and exports 3. 🗄️ Are now more careful with creating stack dependencies It’s tricky but it works, and now our infrastructure is easier to manage and cleaner ✅ ❓ Have you ever had this issue with CDK? How did you solve it? A nice AI picture visualizing stack dependency:

Scaling is essential for maintaining performance and handling increased loads in computing systems. There are two primary types of scaling: vertical and horizontal. Here's a brief overview of both: 📚 Vertical Scaling: Vertical scaling, also known as "scaling up," involves adding more power to an existing machine by increasing its CPU, RAM, or storage. ✅ Pros: - Simplicity: Easier to implement since it involves upgrading a single server. - Reduced Complexity: No need to modify the application architecture. ✅ Cons: - Hardware Limits: There is a physical limit to how much you can upgrade a single machine. - Downtime: Upgrading hardware can require downtime. - Cost: High-end hardware can be expensive. ✅ Example: Upgrading a server's CPU from a quad-core to an octa-core processor and increasing its RAM from 16 GB to 64 GB to handle more transactions or traffic. 📚 Horizontal Scaling: Horizontal scaling, also known as "scaling out," involves adding more machines to a system to distribute the load. ✅ Pros: - Scalability: Easier to scale out by adding more machines as needed. - Redundancy: Improves fault tolerance and reliability. - Cost-Effective: Can use cheaper, commodity hardware. ✅ Cons: - Complexity: Requires more complex system architecture, such as load balancing and distributed computing. - Maintenance: Managing multiple servers can be more challenging. - Data Consistency: Ensuring data consistency across multiple nodes can be complex. ✅ Example: Adding additional web servers and using a load balancer to distribute traffic evenly among them, ensuring that no single server becomes a bottleneck. Both vertical and horizontal scaling have their advantages and limitations. Vertical scaling is simpler and can be more straightforward for smaller systems or short-term needs, but it hits a limit as hardware constraints are reached. Horizontal scaling, while more complex to set up and manage, provides greater long-term scalability and reliability, making it ideal for large, growing applications. Understanding when and how to use each type of scaling is crucial for optimizing the performance and efficiency of your systems. Join me to explore more about DevOps, MLOps, AIOps, and all things Platform; Abdullateef Lawal 🌟 Discover Codegiant, your all-in-one DevSecOps solution. Enjoy seamless integration of development, security, and operations functionalities within a single powerful platform. Join our Slack Community: https://lnkd.in/dWKnwZBv #kubernetes #scaling #cloud #devops #code

2025 Prediction - This is the year of the Platform Engineer. Check out my latest blog post as I explain why and how you can implement this org in your Enterprise.