In his latest Observability 360 newsletter, John Hayes highlights a recent LI debate kicked off by Josh Grose: "Observability in the Dock" - challenging the approach observability vendors have been taking for decades (https://lnkd.in/ecyiXdfH). These challenges are what compelled us to start Causely, and why the deep expertise of Shmuel Kliger and our team in #causalreasoning is so critical to what we’re building. In the world of cloud-native applications and real-time data, every second of service disruption can have serious impact. While more metrics/logs/traces and better dashboards can improve observability tools, it still always comes down to *humans* interpreting the data and sifting through alerts to understand what’s happening - usually after the fact. What the industry actually needs is causal reasoning software (not humans) for the resolution and prevention of complex problems. This offers a significant leap forward by: - Rapidly identifying root causes and their effects - Providing more consistent and explainable answers - Prioritizing actions based on a clear understanding of user impact - Preventing future incidents by showing potential problems and what-if scenarios To learn more, check out this article: https://bit.ly/3Y3NYdD. Better yet, try Causely in your live environment to see the difference: https://bit.ly/4cY83pW.
Ellen Rubin’s Post
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Passionate about fulfilling the promise of Continuous Application Reliability. Placing human empathy at the center. Key contributor to three successful SaaS exits
Love it Ellen Rubin! Only in the world of software, constant business disruption is often accepted as necessary or normal. But it's time for a better paradigm. We should not accept that things have to break and that humans have to invest their time in troubleshooting when they could be focusing on innovation and accelerating releases. These days, it's common to have an overwhelming amount of data, yet still face confusion when it comes to troubleshooting. Nobody these days is complaining that they don't have enough data. Let's strive for a future where reliability is built-in, and our efforts are dedicated to driving progress, not fixing problems!
In his latest Observability 360 newsletter, John Hayes highlights a recent LI debate kicked off by Josh Grose: "Observability in the Dock" - challenging the approach observability vendors have been taking for decades (https://lnkd.in/ecyiXdfH). These challenges are what compelled us to start Causely, and why the deep expertise of Shmuel Kliger and our team in #causalreasoning is so critical to what we’re building. In the world of cloud-native applications and real-time data, every second of service disruption can have serious impact. While more metrics/logs/traces and better dashboards can improve observability tools, it still always comes down to *humans* interpreting the data and sifting through alerts to understand what’s happening - usually after the fact. What the industry actually needs is causal reasoning software (not humans) for the resolution and prevention of complex problems. This offers a significant leap forward by: - Rapidly identifying root causes and their effects - Providing more consistent and explainable answers - Prioritizing actions based on a clear understanding of user impact - Preventing future incidents by showing potential problems and what-if scenarios To learn more, check out this article: https://bit.ly/3Y3NYdD. Better yet, try Causely in your live environment to see the difference: https://bit.ly/4cY83pW.
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Pretty excited about a couple product improvements that went live this morning! ⚡️Speed: Faster Insights - Remember how insight searches used to take up to a minute? Not anymore! Expect insights in 20s-30s. We're working on pushing that time down further, but... you no longer have time to grab a coffee between searches. 🎯Substance: Value First - Rather than sharing every answer InsightDB has to your question, searches now prioritize the specific insights your peers used to make decisions. - We've also expanded our coverage of online information: we're gathering every bit of data so you don't have to. As always, we're continuing to expand InsightsDB with more peer perspectives (now, with coverage of revenue orchestration tools and "all-in-one" data platforms). If it's software, we want to know about it.
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Tired of fitting your infrastructure into someone else’s mould? Discover how true #Observability adapts to YOU. This carousel highlights essential things Observability should empower you to do, but legacy tools simply can't keep up. 1️⃣ Customization and flexibility: Observability should be like a tailored suit, not one-size-fits-all. 2️⃣ Data integrity: Sharing data with external vendors introduces inherent risks. Every enterprise should prioritize in-house data management. 3️⃣ Real-time data analysis for proactive issue resolution: It's crucial to emphasize the importance of continuous data analysis, enabling teams to detect and resolve issues proactively before they escalate. And these are insights we understood first hand, working in observability over the last few years both are corporates and talking to users as we build Incerto. Resonate with these challenges or have suggestions? Let’s talk. #opentelemetry #Incerto
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🗨️ Get ready to interact with your data like never before! Join #Cohesity on February 28 to be among the first to see how conversing with your data can strengthen your #cyberresilience and spur business growth: https://lnkd.in/gbPaAGZ6
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Understanding operational maturity begins with decoding the reporting structure, says RevOps specialist Camela Thompson. Explore key topics in revenue operations through these enlightening reports derived from our latest State of RevOps Survey. https://gag.gl/nVwKoF #RevOps #data
LinkedIn
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As per the data, a surprising 60% of clients in financial services feel their needs are not adequately addressed. It happens because most businesses don't emphasize enough on collecting their client's feedback. Imagine transforming your client relationships with precise, AI-driven insights that anticipate their needs. Our platform helps you engage with clients more effectively, boosting satisfaction rates by 40%. 📈 Learn how to create deeper, more meaningful client connections. Start today: https://lnkd.in/gCDj9vdb #ClientEngagement #FinancialServices #DataAnalytics #DataScience #ResearchSolution #ClientFeedback
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Do you want to understand the intricacies of 𝗔𝗣𝗜 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 versus 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻? plus exploring both the methods and the reasons behind their implementation. Gain insights into the nuanced comparison and discover the factors influencing their effectiveness >> https://lnkd.in/dYyCK9CQ #ApplicationAcceleration #APIScaling #DataManagemet #DataHub
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📊 Empower Your Operations with BaseOne! Navigating the vast landscape of data? Let BaseOne be your guide to smarter, data-driven operations. We're all about: ✨ Efficiency - Experience transformative automation that reduces effort, streamlining work and reporting across your organization. 💼 Cost-Effectiveness - Save valuable time and resources, and let us help optimize your operations. 🔍 Enhanced Data Quality - With us, you're not just getting data; you're ensuring its quality, integrity, and relevance. 💡 Confident Decisions - Say goodbye to uncertainty. BaseOne's insights remove doubt, enabling decisive, informed actions. Step into the future of data management with BaseOne. Where clarity meets capability. #DataDriven #BaseOneExcellence #SmartOperations
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📊 Empower Your Operations with BaseOne! Navigating the vast landscape of data? Let BaseOne be your guide to smarter, data-driven operations. We're all about: ✨ Efficiency - Experience transformative automation that reduces effort, streamlining work and reporting across your organization. 💼 Cost-Effectiveness - Save valuable time and resources, and let us help optimize your operations. 🔍 Enhanced Data Quality - With us, you're not just getting data; you're ensuring its quality, integrity, and relevance. 💡 Confident Decisions - Say goodbye to uncertainty. BaseOne's insights remove doubt, enabling decisive, informed actions. Step into the future of data management with BaseOne. Where clarity meets capability. #DataDriven #BaseOneExcellence #SmartOperations
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🗨️ Get ready to interact with your data like never before! Join #Cohesity on February 28 to be among the first to see how conversing with your data can strengthen your #cyberresilience and spur business growth: https://lnkd.in/gwwwD6SW
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1moAs humans, we're wired for causality. We crave understanding the "why" behind everything. The reason organisations spend so much money on Observability is to understand not just "what" is happening but "why". Answering the "why" as you point out is time consuming and labour intensive. Anything that can help to get the "why" faster and more consistently in daily operations is not a nice to have its a must have capability. The science of Causal Reasoning provides a proven path to get there.