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Understanding What Data Masking Is and Its Critical Role in Data Security

In the fast-paced realm of modern business, data reigns supreme as the driving force behind organizational decisions, innovative breakthroughs, and competitive edge. As technology continues to advance, the sheer volume and intricacy of data generated by organizations have reached unprecedented levels. Alongside this exponential growth comes the pressing need to safeguard sensitive information from the ever-looming threats of unauthorized access and breaches. In this landscape, data masking emerges as an indispensable weapon in the arsenal of data security measures.

Financial Optimization: Elevating Your Business Performance

In today's fiercely competitive business landscape, achieving success necessitates more than merely offering a stellar product or service. It entails strategic decision-making, efficient resource management, and a sharp focus on maximizing profitability. One pivotal aspect of this multifaceted process is financial optimization - a comprehensive approach to managing finances that can wield a significant impact on a company's performance and long-term sustainability.

To fix customer service in Australia, put AI to work for employees

Australian business leaders can’t seem to crack the customer experience (CX) code. According to the ServiceNow Customer Experience Intelligence Report, customer service has gotten increasingly worse over the past three years. Australians are waiting longer than ever—spending a combined 107 million hours on hold, 11% more than the previous year.

AI-driven contextual mastery for incident response

Context is fundamental to well-run tech operations, which require an understanding of systems, services, architectures, and teams to interpret the real-time data streaming in from observability and change systems. The delivery of context is crucial for effective operations performance. And it’s a universally important skill set for tech Ops teams to master.

What Is Denormalized Data?

Traditional database design prioritizes data integrity through normalization. However, for read-heavy workloads, normalized data structures can lead to complex queries and slower performance. Denormalization offers an alternative approach to optimize query execution and improve efficiency. A study concluded that denormalization can improve query performance when implemented with a thorough understanding of application requirements.

BigPanda delivers full context for faster, scalable AIOps

The teams that keep IT services running all share one thing: a need for data and knowledge that spans their systems and tools. Yet, they often lack the vital cross-system context necessary to analyze and collaborate effectively to remediate incidents quickly. BigPanda is proud to announce new features and capabilities that enable you to leverage historical incident records and institutional knowledge.

Measuring Node.js Performance in Production with Performance Hooks

In the first part of this series, we toured performance APIs in Node.js. We discussed the capabilities of APIs and how they can diagnose slowdowns or network issues in your Node application. Now, in this concluding segment, we will embark on a practical journey, applying these performance hooks in a real-world scenario. You will understand how to effectively use these tools to monitor and enhance your application's performance. Let's dive in and see these concepts in action!

Checkly adds deep synthetic monitoring to Coralogix with new integration

Starting today, Checkly users can send their traces from synthetics checks to Coralogix to view in-depth synthetic user data along with back-end APM based tracing. This gives SRE’s and Operations engineers a new insight into how the system is responding to automated synthetic tests of your service. For Checkly users, integrating with Coralogix data means it’s easy to correlate end-to-end user experience with backend performance, and track poor performance to its root cause.