Lenny Pruss

Komodor VP of Product, Aviv Shukron was recently interviewed on KubeFM about Kubernetes autoscaling solutions, where he shared his perspective on the current landscape of scaling tools. We discussed the various options available today, from traditional open-source solutions like Cluster Autoscaler to newer tools like Karpenter, as well as commercial offerings like Spot.io. Aviv emphasized that efficiency should be the ultimate deciding factor when choosing between these solutions. Based on experience, Aviv highlighted how Karpenter performs as well as commercial solutions while offering a more dynamic approach to scaling and enabling proactive decision-making. Aviv notes that Karpenter has become his preferred choice for Kubernetes auto-scaling implementations.

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How is GTM Engineering evolving today? One of our co-hosts Mada Seghete looked at open roles and practitioners in market to find out. Full write-up: https://lnkd.in/gaaAWcrP

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Lucas Hendrich shares how Forte Group is using LLMs to modernize legacy systems with a structured, engineering-first approach. This article breaks down a practical framework for understanding legacy code with intent analysis, identifying and consolidating redundancy, refactoring for modular, scalable design, and translating outdated systems into modern architectures. Read it here: https://lnkd.in/dzxrYTee

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Product Engineering Tips ft. Felicis Partner Nancy Wang We explore quick product engineering tips for CEOs, highlighting the importance of pairing builders with rockstar Go-To-Market leaders. Learn how to find the perfect match for scaling your revenue. Understanding profiles and experience is key to success! #ProductEngineering #GTMStrategy #CEOtips #Leadership #BusinessGrowth #ScalingRevenue #SalesLeadership #GoToMarket #TechStrategy #StartUpTips

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If you're navigating the complexities of streaming data from Kafka to OpenSearch, our latest blog series by Technology Evangelist Paul Brebner is here to help. 🚀 Discover how to configure the OpenSearch Sink Connector and unlock the full potential of your data pipelines with step-by-step guides tailored to your needs. From keyless schemaless configurations to mastering data streams, these blogs cover everything you need to know for seamless integration. ➡️ Start optimizing your Kafka ecosystem today. Read the 2-part blog series here: Part 1: https://bit.ly/3HCLnkL Part 2: https://bit.ly/45OZBJa #Kafka #OpenSearch #DataIntegration #NetAppInstaclustr

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For rapidly scaling SaaS companies, landing those crucial enterprise clients is the ultimate growth accelerator. But there's a gatekeeper: SOC 2 compliance. For major corporations, demonstrating robust data security is a fundamental requirement. A clean SOC 2 report proves your commitment to protecting sensitive data, building essential trust, and unlocking significant new revenue streams. Don't let compliance be a hurdle; let it be your competitive edge. Is your SaaS ready to secure those high-value enterprise deals? Learn how SOC 2 paves the way. 🔗 https://lnkd.in/gcQvWnwb 📞 888-341-7149 #SaaSGrowth #EnterpriseSales #SOC2Compliance #TechBusiness #ClientTrust #AuditAdvantage #ScaleUp #DataSecurity

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Kafka works great… until it’s in production. Observability in Kafka isn’t just about broker metrics. The real challenge is understanding how producers, consumers, brokers, and the apps around them behave together, without stitching disconnected signals manually. Next Thursday, we’re hosting a live session on Observing Kafka at Scale with OpenTelemetry. We’ll cover: ➡️ What to instrument (and what’s noise) ➡️ Where teams hit blind spots at scale ➡️ How to correlate Kafka signals with app & infra context ➡️ A live demo If you run Kafka in production, or are planning to, this one’s for you. 👉 RSVP here: https://lnkd.in/gnRKwkvU #kafka #opentelemetry #observability

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📚 Serving 100M+ customers means scale isn’t optional. Intuit’s IPS now delivers 100k+ events/sec, TP99 <500ms, and end-to-end freshness <4s—so Intuit Assist and support models can act on the last 30 clicks while they still matter. By moving OLAP to StarRocks, the team: • Hit a strict <4s freshness SLA to protect model accuracy • Sustained bursts >100k TPS while keeping TP99 under 500ms • Eliminated denormalization workarounds with fast multi-table joins • Achieved ~2s end-to-end ML latency (1s freshness + <500ms query) If you care about real-time analytics without operational sprawl, this story is a great read 👉 https://lnkd.in/gx_2Szas #DataAnalytics  #DataEngineering  #DataLakeAnalytics  #DataLake  #DataLakeHouse #RealTimeAnalytics

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How do you scale to $100M+ in pipeline while navigating strict LLM and rate limits? 📈 The answer: Strategic orchestration. Learn how our team used agents to build a system that processes high-volume inbound signals in real time—without the duplicate outreach or data inconsistencies. Check out the full breakdown of how we synchronized human and agent workflows: https://lnkd.in/gMe6eZs9

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𝗙𝗶𝘃𝗲 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝗯𝗲𝗵𝗶𝗻𝗱 𝗲𝘃𝗲𝗿𝘆 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝘀𝘁𝗮𝗯𝗹𝗲𝗰𝗼𝗶𝗻 𝗿𝗼𝗹𝗹𝗼𝘂𝘁. Fireblocks’ Guy Hadar unpacks what it takes to move from pilot to production, with insights from $1.5T in processed flows. “𝙀𝙭𝙚𝙘𝙪𝙩𝙞𝙤𝙣 𝙙𝙚𝙥𝙚𝙣𝙙𝙨 𝙤𝙣 𝙞𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚. 𝙄𝙩’𝙨 𝙩𝙝𝙚 𝙙𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙘𝙚 𝙗𝙚𝙩𝙬𝙚𝙚𝙣 𝙢𝙤𝙫𝙞𝙣𝙜 𝙛𝙖𝙨𝙩 𝙖𝙣𝙙 𝙟𝙪𝙨𝙩 𝙢𝙤𝙫𝙞𝙣𝙜.” With adoption no longer the barrier, execution is everything. This deep dive covers the technical calls that separate scale from stall. 👇 Dive into the blog. Link in comments.

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New to Argo CD? Scaling GitOps across multiple environments? 🙋‍♂️ Argo CD: Up and Running is your go-to guide for building secure, streamlined, and scalable Kubernetes deployments. 🐙 The latest version includes: 🔧 Plug-in customization 🚀 CI integrations 📊 Monitoring and scaling strategies 🔭 What’s next for GitOps It’s free—and updated regularly. 📘 https://hubs.li/Q03wk4w20 #GitOps #ArgoCD #Kubernetes #DevOps #PlatformEngineering

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🤖 AI coding agents change, models update, and suddenly your custom MCP server silently breaks. How do you catch it before your customers do? Introducing agent-belt: an open-source CLI-based evaluation framework built by JFrog. Run user-authored multi-turn scenarios, rich assertions, and multi-judge consensus across the leading coding-agent CLIs — or any agent you plug in. Stop guessing your AI's reliability. Keep your agents under control: https://bit.ly/4vi9KrF #OpenSource #AI #DevOps #LLM #AgenticAI

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Having a monorepo comes with many advantages – until you actually try to navigate it. Wiz has millions of lines of Go code in a single repository. At that scale, things like indexing, refactoring, or even finding usages quickly become bottlenecks. With GoLand, their IDE of choice from day one, these workflows stayed fast and reliable as the repository grew: 🔹 Refactoring large parts of the codebase without breaking things. 🔹 Navigating the repo without slowdowns. 🔹 No freezes or long waits. Read the full story here: https://lnkd.in/dztpmTvm

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Short-lived Kubernetes jobs are an observability nightmare: metrics disappear before scrapes land, and cranking up frequency just blows up cardinality. Ivan Yurochko walks through how vmagent streaming aggregation tackles both problems, so ephemeral workloads stop slipping through the cracks. #Kubernetes #Observability #DevOps

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GitOps has moved firmly into the mainstream, with Argo CD now playing a central role in production environments across the enterprise. Hong Wang, co-founder of Akuity, explains how Kargo is extending continuous promotion with custom steps and multi-environment support across Terraform, serverless workloads, and more. The conversation also looks at how AI-driven code generation is increasing deployment pressure and why operations teams are turning to purpose-built AI agents inside the control plane to keep delivery pipelines resilient. ▶️ Watch the full discussion: https://buff.ly/SW3vx5z #GitOps #ArgoCD #KubeCon #AI #CloudNative

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Your next API consumer will not just be human. You will serve Developers who want typed SDKs. Partners who expect REST and OpenAPI. AI agents that need structured, efficient endpoints. Three consumers. Three interfaces. One API. Building them by hand means parallel API layers and multiplied work. Start with one Graph. Operations are curated and approved. Generate every interface.

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HCP Terraform offers multiple workflows, but choosing the right one is key to efficient infrastructure management. 🔑 This HashiConf session led by Ting Li will dive deep into three core Terraform workflows — CLI-driven, VCS-driven, and API-driven — exploring their use cases, pros/cons, and best practices. Learn more about Terraform at HashiConf: https://bit.ly/4eCmZvU

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Stigg is an abstraction and orchestration layer that sits between your application and your billing provider (like Stripe), designed to give you flexibility and control over your monetization strategy. Learn how to decouple pricing from billing and move faster. 👇 https://lnkd.in/g3j8AYZ4

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Observability practitioners aren't only supporting the business; they're acting as catalysts to drive the business forward. That's right - our new State of Observability 2025 report shows that observability practices are uncovering insights that improve overall revenue, employee productivity, and product roadmaps. Our own Patrick Lin shares more on #SplunkBlogs. ➡️ https://splk.it/3JmUcAj #SplunkO11y

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