Learn how to delete index in Elasticsearch using REST API, Kibana, scripts, and ILM. Discover best practices to avoid downtime and data loss.

As our SaaS platform rapidly expanded, maintaining a scalable and reliable search infrastructure became a major challenge. We were spending more than 40% of our engineering bandwidth resolving performance issues and fine-tuning clusters — leaving little time to build features users actually wanted. Adopting Managed Elasticsearch allowed us to streamline search operations, automate scaling, and focus on enhancing search relevance and user experience.

Your website's search bar is more than just a navigation tool; it's your most valuable sales instrument. Discover how an intelligent, well-optimized e-commerce search engine can turn frustrated shoppers into loyal customers and unlock your online store's full potential.

Discover how to deploy Langfuse locally or on a virtual machine with Docker Compose. This step-by-step guide explores core Langfuse features, prompt management tools, self-hosting benefits, and advanced observability techniques for LLM-powered applications.

Tired of treating your LLM app like a black box? Langfuse gives AI engineers the visibility and control they need to debug hallucinations, manage prompts with precision, and evaluate LLM performance in real-time. This guide explores how Langfuse brings observability, DevOps readiness, and cost-efficiency to your AI workflows so you can confidently ship and scale production-ready LLM apps.

Vertex AI Pipelines transform how ML teams orchestrate scalable, modular workflows on Google Cloud Vertex AI. This guide breaks down how to build a robust Vertex AI development environment, covering library modularization, containerized ML pipelines, KFP LocalRunner local testing, and CI/CD deployment automation ensuring your models move efficiently from experimentation to production.

Discover how integrating BigQuery ML with MLflow revolutionizes machine learning workflows. Eliminate data exports, leverage serverless scalability, and achieve unparalleled MLflow model tracking for reproducible and auditable BigQuery ML pipelines especially powerful for GA4 machine learning data.

SquareShift brings precision to Tableau to Looker migration with its proprietary in-house accelerator for governed BI at scale.

Google AgentSpace is transforming enterprise productivity by seamlessly connecting Google Workspace with external platforms like Jira and SharePoint. This comprehensive guide explores how AgentSpace’s third-party connectors, intelligent data search, and powerful Actions enable secure, AI-powered access to all your data,while respecting existing permissions through native ACL support. Discover how easy it is to set up, sync, and automate workflows, and see why AgentSpace is th

In today’s AI-first enterprise landscape, businesses are sitting on mountains of valuable data scattered across documents, emails, databases, calendars, and collaboration tools like Google Workspace. Yet, the true challenge isn't storing all this information it’s finding it, understanding it, and acting on it quickly. That’s where Google AgentSpace steps in as a transformative solution.

In today's AI landscape, traditional machine learning (ML) and generative AI (GenAI) represent two distinct approaches to problem-solving. Traditional ML is data-driven and precise, excelling in areas like fraud detection and time-series forecasting where data is well-understood and problems are well-defined. GenAI, on the other hand, is broad, flexible, and capable of reasoning across various domains without strict rules, forming the basis of large language models and intel

Marketing leaders in financial services are grappling with a significant challenge. However, a shift to Looker, especially when built on BigQuery and supported by a robust semantic layer, is transforming these frustrations into progress. The result? Significant impacts, from reduced dashboard maintenance to uncovering hidden attribution gaps, and most importantly, CMOs shifting from defending budgets to owning their results.

Why Does It Still Take 10 Days to Add a Metric? Let’s say you spot a new trend mid-quarter, A campaign is driving surprising lift in a...

Customer segmentation sounds like something every marketing team "already has figured out." Except, when you’re in the trenches, it’s...

You're preparing for a quarterly marketing review. The CMO asks a simple question: "Which channel drove the most pipeline in Q1?" You...

No matter how much planning goes into a campaign, not every bet pays off. Some launches sputter. Some promotions flop. Some great ideas...

Picture this: Your team launches a bold new product into the market. Excitement is high, but reality sets in. Early campaign performance...

Your marketing team scrambles to pull numbers for a quarterly update. One team pulls from Tableau . Another from Excel. A few resort to...

You can’t fix what you can’t see. And in GTM, the cost of slow insight is missed revenue. If you’re a CMO trying to lead a sharper,...

It was supposed to be a simple 4-week performance campaign. The media team had the creatives lined up, the budget approved, and the ads were already live across Google and Meta. Everything looked smooth until week 3 — then the campaign hit pause. Why...?