Deploys are flying, costs are rising, and AI is already in the pipeline. How do you stay in control?
In this Tech Radar Voice episode, Eitan Masuari, Head of Tech and DevOps Group Lead at Tikal, hosts Gabi Tal, DevOps Tech Lead at Tikal, and Slavik Jakobson, Platform Architect at Guesty, to discuss DevOps trends from the Israeli Tech Radar 2025 26.
They unpack AIOps, explain how AI accelerates the path from idea to implementation, detects patterns in logs, and provides an early heads up before the pager goes off. They also explore FinOps in the AI world, talking about tokens, models, AI gateways, and managing costs already during development.
They highlight the difference between DevOps and Platform Engineering, what makes an IDP a true product tool with guardrails, telemetry, and real adoption, and end with DevSecOps that keeps delivery continuous, measurable, and aligned with product goals.
A must listen for anyone who wants to understand where the DevOps role is heading, from infrastructure to the meeting point of code, AI, and developer experience.
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Deploys are flying, costs are rising, and AI is already in the pipeline. How do you stay in control?
In this Tech Radar Voice episode, Eitan Masuari, Head of Tech and DevOps Group Lead at Tikal, hosts Gabi Tal, DevOps Tech Lead at Tikal, and Slavik Jakobson, Platform Architect at Guesty, to discuss DevOps trends from the Israeli Tech Radar 2025 26.
They unpack AIOps, explain how AI accelerates the path from idea to implementation, detects patterns in logs, and provides an early heads up before the pager goes off. They also explore FinOps in the AI world, talking about tokens, models, AI gateways, and managing costs already during development.
They highlight the difference between DevOps and Platform Engineering, what makes an IDP a true product tool with guardrails, telemetry, and real adoption, and end with DevSecOps that keeps delivery continuous, measurable, and aligned with product goals.
A must listen for anyone who wants to understand where the DevOps role is heading, from infrastructure to the meeting point of code, AI, and developer experience.
ML Engineering: מהמחקר למציאות
Machine Learning זה לא רק לבנות מודלים – זה לדעת איך להפוך אותם לחלק ממערכת שעובדת באמת, בסקייל, בפרודקשן, ובעיקר – מביאה תוצאות.
בפרק הזה של Tech Radar Voice, שני כהן, Senior ML Engineer ב- Tikal, מארחת את קוסטה קלינובסקי, MLOps Engineer ב-Imperva, לשיחה על איך לוקחים רעיון מחקרי והופכים אותו למערכת אמינה שרצה אצל יוזרים אמיתיים.
הם עוברים יחד על כל ה-ML lifecycle – מהאיסוף של הדאטה, דרך תכנון הפיצ'רים וניהול האקספרימנטים, ועד לאימון, deployment וניטור בפרודקשיין.
דרך use case של זיהוי הונאות בפלטפורמת e-commerce, הם מדברים על אתגרים יומיומיים – כמו למשל איך שומרים על מודל עדכני, איך מטפלים ב data drift, ואיך בונים תהליך שאפשר לסמוך עליו לאורך זמן.
בזכות כלים כמו feature stores, model registries ו-LLMs, הפער בין מחקר ל engineering הולך ומצטמצם – והפרק הזה הוא בדיוק המקום להתחיל בו את המסע לעולמות של MLOps מודרני.
Tech Radar Voice
Deploys are flying, costs are rising, and AI is already in the pipeline. How do you stay in control?
In this Tech Radar Voice episode, Eitan Masuari, Head of Tech and DevOps Group Lead at Tikal, hosts Gabi Tal, DevOps Tech Lead at Tikal, and Slavik Jakobson, Platform Architect at Guesty, to discuss DevOps trends from the Israeli Tech Radar 2025 26.
They unpack AIOps, explain how AI accelerates the path from idea to implementation, detects patterns in logs, and provides an early heads up before the pager goes off. They also explore FinOps in the AI world, talking about tokens, models, AI gateways, and managing costs already during development.
They highlight the difference between DevOps and Platform Engineering, what makes an IDP a true product tool with guardrails, telemetry, and real adoption, and end with DevSecOps that keeps delivery continuous, measurable, and aligned with product goals.
A must listen for anyone who wants to understand where the DevOps role is heading, from infrastructure to the meeting point of code, AI, and developer experience.
