Derek Collison

The latest update for #Confluent includes "Seamlessly Connect #IoT Data Streams: Integrating Confluent #Cloud with #AWS IoT Core" and "CDC and #DataStreaming: Capture Database Changes in Real Time with Debezium #PostgreSQL Connector". #DataPipelines https://lnkd.in/dtgUKR_3

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Transform your IAC validation process with VR's OPA Policy Generator. This intuitive tool simplifies the creation of secure, compliant policies for Terraform AWS-based infrastructure, cutting through the complexity of OPA's syntax and making it accessible for all developers and security experts. 🔒✨ #VRModuleSpotlight #OPA #PolicyGenerator #IAC #AWS #AWSPartner #APNProud Amazon Web Services (AWS) AWS Partners

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Check our latest insights on the leading open source LLM observability and monitoring software. https://lnkd.in/ePGSsNRy #openSource #LLM #GenAI #Observability cc: Langfuse (YC W23) Helicone (YC W23) Traceloop

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Cut costs by 20x per TB for #AI workloads in the #cloud, just like this software firm did 🤯 ... thanks to the #WEKA data platform! Learn how in this review by their engineering team👇 https://weka.ly/4d5oErQ Want to accelerate performance & optimize your enterprise workflows? Learn🔗 how WEKA's AI-native #dataplatform can help: https://weka.ly/3W5Ozc3

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The latest update for #Lumigo includes "Lumigo Introduces #AI to Simplify #Observability Workflows" and "Announcing Lumigo's New Multiple Dashboards Functionality". #monitoring #devops #AWS #serverless https://lnkd.in/dH5CzYQ

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#ObservCrew, Anil just stumbled upon Ross Lazerowitz's post on emerging trends. In it Ross envisions an ELK-like stack built on open-source data warehouses. It's a thought-provoking idea, combining ELK's familiarity with modern warehouses' scalability but could our shard friends handle it. While it seems like reinventing the wheel, I wonder if there's untapped potential. What's your take, revolutionary or redundant? 🤔 Would you like to hear Ross's perspective on our podcast? https://lnkd.in/e_Qr9g8p #observability #opensource #innovation

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📢 Big News in the Kafka Ecosystem! 📢 Confluent has acquired WarpStream for $220M, just 13 months after its launch. This isn’t only a business milestone—it’s a huge technical advancement for Kafka users and cloud-native architecture. Here’s what makes WarpStream’s approach groundbreaking and how Registfy can help businesses leverage it on AWS: 🔹 Diskless Kafka Architecture with S3 WarpStream redefined the Kafka-API with a cloud-native, diskless architecture using S3 as storage. By eliminating disks, they achieved massive cost savings and operational simplicity, resonating deeply in the DevOps and cloud solutions world. 🔹 Incredible Cost Savings & Operational Efficiency WarpStream’s design is 10x cheaper than unoptimized Kafka clusters and 4x cheaper than optimized deployments. For high-throughput use cases, this can mean savings in the millions:     Unoptimized Kafka: ~$5.25M     Optimized Kafka: ~$2M     WarpStream: ~$500k 🔹 Latency Trade-Offs for High-Volume Workloads With a latency of 400ms (p99 writes) and 1 second end-to-end, WarpStream’s approach works best for high-volume, latency-insensitive workloads. Many customers are willing to trade latency for such remarkable cost benefits. 💡 Key Insight from WarpStream By focusing on high-volume, latency-insensitive workloads, WarpStream delivers incredible cost-effectiveness—revolutionizing how businesses might consider their Kafka deployments. 🚀 How Registfy Can Help As an AWS Advanced Partner specialized in DevOps and cloud solutions, Registfy is uniquely positioned to help businesses implement cost-efficient, scalable Kafka architectures on AWS. With WarpStream’s acquisition by Confluent, this opens new opportunities for customers seeking optimized cloud-native solutions. Let’s discuss how to make your Kafka workloads more affordable and scalable. #Kafka #CloudNative #CostEfficiency #Confluent #WarpStream #AWS #Registfy #DevOps #TechInnovation

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Sumo Logic Unveils AI Innovations for Dynamic Observability at AWS re:Invent 2024 Sumo Logic unveils its Mo Copilot and Dynamic Observability prototype, integrating AI with log analytics to enhance DevSecOps efficiency at AWS re:Invent 2024.

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#SundayRead Top 10 Tips for Integrating Vault & Boundary Vault and Boundary from HashiCorp are valuable tools for securing and managing access to critical resources. When used together, they form a robust solution for modern infrastructure management. Read the full story: https://hubs.li/Q02w5fCf0

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🆔 Easily add fine-grained authorization (ReBAC and ABAC) to your app with Descope In this video, Allen Zhou: ✅ Covers #ReBAC and #FGA basics ✅ Highlights how to build schemas and relationships ✅ Walks through how to add checks before making #AuthZ decisions Learn more about Descope FGA: https://lnkd.in/gAeUQXEd #authorization #accesscontrol #ciam #authentication #developers

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Datadog just launched a new integration with AWS Neuron that's bringing enhanced monitoring capabilities to AWS Trainium and Inferentia instances. It's pulling in metrics from the Neuron SDK's Monitor tool, giving users real-time visibility into their ML workloads. The integration comes with pre-built dashboards tracking everything from NeuronCore utilization to memory usage. What's interesting is the memory allocation tracking - could be really valuable for ML teams running large models. #observability #MLOps #CloudMonitoring

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Join Logz.io and The Linux Foundation for a complimentary live webinar TOMORROW 7:30am PDT entitled: "Demystifying Kubernetes Observability with Generative AI and LLMs." The use of AI and LLMs provides significant promise in lending a hand to operators overwhelmed by K8s-related alerts. LLMs are adept at processing, learning and recognizing patterns in a large volume of repetitive textual data — precisely the nature of log data and other telemetry in highly distributed and dynamic systems. They can easily be applied to observability to provide meaningful recommendations. But LLMs are not a panacea. Let’s talk about the real value vs. inflated expectations. In this presentation we’ll discuss: ⚙️How ChatGPT says we can use LLM in observability today ⚙️The limitations of LLM ⚙️How LLM can be used to simplify the user experience of complex observability solutions ⚙️How to use LLM to help with mundane tasks that are error prone ⚙️What’s next - Interactive chat with your data Learn more and register: https://hubs.la/Q02x5ydY0 #OpenSource #OSS #LinuxFoundation #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #Events #Kubernetes #K8s #AI #GenerativeAI #LLMs

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The early days of Google infrastructure presented unique challenges. On Tech on the Rocks, Brian Grant discusses how the reliance on single-threaded C++ in a pre-multi-core world shaped the architecture and performance of Borg, laying the groundwork for Kubernetes. Gain valuable insights into the evolution of distributed systems: https://lnkd.in/gZHRm5ir #kubernetes #borg #C++ #singlethreaded #performance #scalability #softwareengineering

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