Temporal Technologies’ Post

This insightful, on-demand webinar by Peter Dorrington and George Tziahanas provides actionable advice about technical debt: - Understand the concept of technical debt and its impact on your organization. - Learn how to identify and prioritize legacy systems for decommissioning. - Discover risks associated with outdated software and how to mitigate them. - Explore programmatic approaches to manage technical debt effectively. - Gain insights into leveraging data from legacy systems for AI and analytics.

Just as a doctor needs to fully understand a patient's condition before making a #confident diagnosis, comprehending the behavior and intricacies of a #legacy system before beginning the modernization process is critical to a #safe and successful effort. What's the difference between actual understanding vs. the appearance of understanding? Read 👇 from Mechanical Orchard. #norisk #legacymodernization #trust

[Last Chance] In 2 days, we're hosting a technical deep dive on the latest fine-tuning optimizations. We've #finetuned 1000s of #LLMs and want to share what we learned! Bring your questions and come prepared to learn: ✅ Fine-tuning optimizations 101: latest techniques best practices ✅ An analysis on the impact of these different #optimizations ✅ How we implemented these techniques in Predibase ✅ How you can get started including a live #demo Save your spot! https://pbase.ai/3Wv0BO0

High Cardinality metrics pose challenges due to their operational cost. However, in cloud-native and distributed systems, they offer valuable insights. Rather than discarding them, it is essential to manage them by implementing strategies like pre-aggregation and flow control to manage their impact effectively. I will be speaking on "Blessings of High Cardinality" at the Conf42 #Observability conference https://lnkd.in/d_RPXP8T Last9 Inc #HighCardinality #Metrics Don't know what is high cardinality? Check the link in the first comment.

Observability: the new name for system monitoring? Observability: the ability to understand the internal state of a system based on its external outputs. It’s crucial for managing complex systems where traditional monitoring falls short. Observability provides a more comprehensive view by integrating metrics, logs, and traces. Implementing observability challenges: · The sheer volume and velocity of data generated by modern applications can be overwhelming. · Tool integration, the use of a mix of open-source and commercial tools, can complicate data aggregation and analysis. https://lnkd.in/eDRJjJU2

🌐 Building reliable data platforms shouldn't mean piling on more complexity. It's about finding that sweet spot where simplicity, flexibility, and a user-focused approach come together. The key? A balanced approach that respects the user's needs while keeping the system manageable and efficient. 🤔 Wondering how this can be achieved? Read our latest article: https://lnkd.in/gPtfbwxc

🔍 How do we ensure you can perform 100 calculations at once?   In our latest technical inside story, we reveal how our software framework and scalable infrastructure enable you to perform 100 calculations simultaneously. This behind-the-scenes glimpse, reveals how our developers have set up our software to meet your needs.   Want to discover more about our services? Check out our page at cemsbv.nl/services!   #Innovation #Geotechniek #lookbehindthescenes #DataProcessing #AECIndustry

Integrate new features without getting lost in the weeds with this blog post from our archeive: https://buff.ly/3XLlSnc We'll break down all the factors you need to consider when introducing new features to your take stack.

Struggling with stage #3 of the SYSTEMology process? Extracting and documenting processes can be tough. 😫 Watch our video with Dave Jenyns for expert tips on simplifying this step. Share it with your Systems Champion! 💪🏼✨ https://lnkd.in/g6MtBgx4 #BusinessSystems #TeamEmpowerment #ProductivityHacks

Sharing a great blog from the Chronosphere engineering team! We regularly use an alert that tells us if different service versions are running in production (also known as version drift); it was a really tough nut to crack but May’s PromQL-foo nailed it. May. Lippert explains how we leverage PromQL to create actionable alerts that inform us whenever different service versions are running in production. Her approach not only enhances our operational efficiency but also ensures consistency across our services. Whether you're a developer of any kind, systems engineer, or managing significant IT sprawl, understanding the intricacies of PromQL (or similar) and realizing the meta-level things you it can empower you to do truly the next level of excellence now that you can see and monitor it closely. Here it is: