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Building Stronger Tech Communities: Foundations, Success Stories, and Future Directions
Discover the secrets to building thriving tech communities in Austin. Join industry experts Cherie Werner (FIESTA), Kasey Randall (Good Code), Cyndi Schultz (Capital Factory), Laura Santamaria (Red Hat), and Emily Gupton (SKG Texas) as they share their insights on community building, personal success stories, and the future of tech communities. Recorded at Civo Navigate Austin 2025, this panel discussion offers a unique perspective on the challenges and opportunities of building strong, inclusive, and supportive communities.
Application Performance Monitoring (APM) Use Cases Every DevOps Team Should Know
Modern applications are built using distributed architectures, microservices, and cloud-native technologies. As these systems grow in complexity, it becomes harder for DevOps teams to maintain performance, track issues, and ensure a consistent user experience across all environments. Application Performance Monitoring (APM) helps solve these challenges by providing real-time visibility into how applications behave, from user interactions to backend services and infrastructure.
Deploy a Production-Ready AKS Cluster on Azure in 10 Minutes
Launch a production-ready Azure AKS cluster in under 10 minutes, no scripts or DevOps expertise required. Learn how Qovery simplifies AKS setup with full observability, autoscaling, and zero maintenance.
AI for Data Analytics: Unlocking the Power of Data Insights
According to McKinsey, 78% of organizations have implemented AI in at least one core function, with data analytics leading that transformation. AI no longer supports analytics from the sidelines; it now directs how data is queried, modeled, and delivered. It forecasts outcomes, detects anomalies, and reveals real-time insights, often before a dashboard loads. For SQL developers and DBAs, this marks a new phase in data work.
SQL Server AI Guide: Best Tools, Benefits & Use Cases
SQL Server AI marks the beginning of a new era for data-driven businesses. What was once thought of as a future prediction is now actively transforming database management. With outstanding features like natural language processing, predictive analytics, and automated error handling, managing data with artificial intelligence in SQL Server is faster, easier, and better. If you are a database developer, data analyst, or DBA, using SQL Server AI is no longer optional; it’s a productivity necessity.
How to Use AI for MySQL: Optimizing Queries and Database Management
Imagine telling your database to get the best five customers by order from six months ago, and you get a well-optimized query instantly. Zero coding. No Googling syntax. Just results. Welcome to the future of database management with MySQL AI. MySQL Artificial Intelligence is a strategic solution transforming the traditional method of managing databases.
LangChain Observability: From Zero to Production in 10 Minutes
LangChain apps are powerful, but they’re not easy to monitor. A single request might pass through an LLM, a vector store, external APIs, and a custom chain of tools. And when something slows down or silently fails, debugging is often guesswork. In one instance, a developer ended up with an unexpected $30,000 OpenAI bill, with no visibility into what triggered it. This blog shows how to avoid that using OpenTelemetry and LangSmith. With this setup, you’ll be able to.
Balancing Reliability at the Crypto-Finance Frontier with Brian Shaw (Uphold)
Sylvain Kalache sits down with Brian Shaw, Senior Engineering Leader at Uphold, to explore the reliability challenges that arise when operating at the intersection of traditional finance and crypto markets. Brian shares how unexpected market events can create massive traffic spikes, how their platform architecture and Kubernetes setup help them stay resilient, and why Uphold's transparency and regulatory approach make them both trustworthy and a high-profile target.
Deploy a Production-Ready EKS Cluster in 10 Minutes
Quickly deploy a production-ready Amazon EKS cluster in just 10 minutes. This step-by-step guide covers essential setup and best practices for running scalable, secure Kubernetes workloads on AWS.