The CDN market is projected to grow from $27.59 billion in 2024 to $127.13 billion by 2033. The surge in online content consumption, e-commerce expansion, and cloud adoption are some of the leading factors behind this growth. Amazon CloudFront is one of the leading CDN services that offers users efficient and rapid content delivery. However, its costs can be complex due to data transfer fees, request charges, region-specific pricing, and more.

At StatusGator, we’re always looking for ways to improve your experience. One common challenge we’ve noticed is that users sometimes struggle to distinguish between services with similar names or unrecognizable logos when setting up Service Monitors for the aggregated status page. To address this, we’ve introduced short service descriptions to help you quickly understand the purpose of each service. This enhancement is now available in the following areas of the platform.

OpenSearch is an open source search and analytics suite that developers use to build solutions for search, data observability, data ingestion, security information and event management (SIEM), vector database, and more. It is designed for scalability, offering powerful full-text search capabilities and supporting various data types, including structured and unstructured data. OpenSearch has rapidly developed into a standalone platform with unique features and capabilities.

In a 2020 paper, Patrick Lewis and his research team introduced the term RAG, or retrieval-augmented generation. This technique enhances generative AI models by utilizing external knowledge sources such as documents and extensive databases. RAG addresses a gap in traditional Large Language Models (LLMs). While traditional models rely on static knowledge already contained within them, RAG incorporates current information that serves as a reliable source of truth for LLMs.

AWS re:Invent 2024 has officially wrapped up, but not everything that happens in Vegas stays in Vegas. We're still gushing over the reception our booth team received from attendees—and we were excited to see even more organizations going all-in on application delivery and security. Naturally, AWS integration was a constant backdrop throughout the week as we showcased the HAProxy platform.

As networks expand across on-premises and cloud environments, many organizations find themselves struggling with scattered, unstructured networks. Often, networks grow in silos, with subnets being created independently in AWS, Azure, and other environments over time, leading to a messy and hard-to-manage structure. This is especially true for enterprises undergoing mergers and acquisitions, where integrating entirely separate network systems can quickly turn into an administrative headache.

I want to walk you through how incident management has evolved, drawing from real data and the experiences of some of the most sophisticated tech organizations out there. I'll also introduce you to a framework we’ve developed at incident.io: the Incident Maturity Model. This framework is the result of thousands of conversations with companies and provides a clear roadmap to help your organization improve its incident management practices—no matter where you're starting from.

In today’s world, where technology underpins nearly every aspect of business, IT systems play a critical role in ensuring smooth operations. However, what happens when something goes wrong? When systems fail or services are disrupted, businesses face what’s commonly known as an incident. For someone who is not technical, the idea of an IT incident can seem scary. However, it is a simple and organized process when explained clearly.

CFEngine works by defining a desired state for a given context and converging towards that goal. Given there is no fixed starting point and that the current context might change wildly it can be challenging to succinctly answer the question “What would CFEngine do?”. In Feature Friday: Don’t fix, just warn we saw how an individual promise could be made to warn instead of trying to automatically converge towards the desired state, a granular --dry-run mode.

Long-running queries in MySQL can significantly impact the performance and availability of your database. They can consume server resources, lock tables, and block other queries, leading to cascading performance issues. In this blog, we will explore why long-running queries occur, how to detect them, and best practices for managing and optimizing them.