What if a single software glitch could cost your company millions? In today’s digital world, that’s not just a possibility – it’s reality. As businesses double down on digital-first strategies, software powers everything from critical infrastructure to day-to-day consumer experiences. Even minor bugs can cause massive disruptions, halt business operations, and compromise customer trust. The margin for error has never been smaller.

In today’s fast-paced, data-driven business landscape, having a comprehensive view of your operations is essential for success. Dashboards provide a centralized, real-time visual representation of key metrics, tasks, and performance indicators, enabling teams to stay organized and make informed decisions. ClickUp’s customizable dashboards elevate this by allowing users to build and personalize their own layouts tailored to specific needs.

Heuristics is the key to turn you into the Turkish Olympic guy. It is something that comes with experience. At a certain point, experts all develop that “sense” in their field of work. Repeated exposure to hundreds of problems helps them recognize patterns that beginners don’t easily see. Heuristics is not always foolproof, but it's good for immediate problem-solving.

Before we dive in, we want to remind our readers that the Konnect engineering team actively uses Kong products like Kong Gateway, Kong Mesh, and Insomnia. In this post, we'll showcase the power of Kong Gateway and two plugins — the JQ and Request Transformer Advanced Plugins — to govern and configure APIs, and explain how it played, and continues to play, a crucial role in the release of a new v2 Konnect API specification. The key takeaway here is: don’t do more work than is necessary.

Privacy is no longer a growing requirement for doing business — it's the new status quo. The stakes for not protecting it have only intensified. Consumers have been demanding greater control and privacy over their data for years, and now vast numbers are taking action to protect it, turning off tracking, using cookieless environments and relying on ad blockers at rapidly increasing rates.

Businesses face an ever-growing challenge: how to protect and manage their most valuable asset – their data. As organizations scale and digital transformation accelerates, the volume generated daily is staggering. IDC predicts that the global datasphere will grow to 175 zettabytes by 2025, requiring a substantial increase in storage capacity across the industry.

In today's data-driven world, businesses are constantly seeking ways to derive insights from their analytics data to make informed decisions. Snowflake, a cloud-based data platform, has emerged as one of the leading solutions for businesses looking to handle analytics at scale. Built for the cloud from the ground up, Snowflake is known for its flexibility, scalability, and unique architecture, which makes it a go-to choice for modern data analytics.

In today's data-driven landscape, the ability to gather, process, and analyze data has become essential for businesses of all sizes. While extracting, transforming, and loading (ETL) data into a centralized warehouse like Snowflake has long been a standard practice, the concept of data activation is gaining traction as the next step in deriving value from data. But what exactly is data activation, and how does it relate to ETL?

Data transformation is a critical step in the data pipeline process, enabling organizations to prepare and process their data for creating dashboards, reporting, and analytics. The right tools can make this process efficient, secure, and scalable. In this blog, we will explore how data transformation tools handle the most common tasks, such as filtering, aggregating, joining, and cleansing data to move to a data lake or a cloud platform of your choice, and what to consider when evaluating these tools.

BigQuery vector search, now GA, empowers data and AI use cases such as semantic search, similarity detection, and RAG with an LLM.