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The first release of Kong Mesh for 2024 (version 2.6) brings many new features that ease day 0 for new starters of service mesh reinforcing our goal of making a simple yet powerful product! In this blog, we'll break down these new features and provide tailored use cases to illustrate how Kong Mesh 2.6 can elevate your service mesh experience. We'll focus on three main categories: flexibility, usability, and security.

Using email to communicate with consumers, sell new items, connect with future customers, and much more is crucial for running a successful business. Despite the numerous communication options available today, such as social media platforms, chatbots, and collaboration tools like Slack, email remains a viable and effective option. In fact, Internet Live Stats reports that 2,641,007 emails are received per second.

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AI automation involves leveraging artificial intelligence (AI) to automate repetitive tasks within operational workflows, thereby enhancing efficiency and productivity. This not only streamlines routine tasks within core business processes but also enables companies to scale growth efficiently by integrating a broad range of digital tools such as robotic process automation, APIs, and software robots.

For the banking and financial services industry, artificial intelligence (AI) isn't just a new tech trend. It's a powerful tool that will have a wide range of impacts, from risk management to operational efficiency and customer experience. According to Deloitte, the world’s top 14 investment banks could potentially boost their front-office productivity by 27% to 35% by leveraging generative AI.

The acceleration of microservices and containerized workloads has revolutionized software delivery at scale. However, these distributed architectures also introduce significant complexity around networking, security, and observability. As development teams grappled with reliability and governance issues, the service mesh pattern emerged to simplify management.

As Kubernetes has become the de facto orchestration platform for deploying cloud native applications, networking and traffic management have emerged as pivotal challenges when managing access to services and infrastructure. The core Kubernetes Ingress resource addresses basic Layer 7 (L7) routing needs but has limitations in terms of flexibility, functionality, and standardization.