The focus of this blog is to provide step-by-step instructions for deploying and configuring Kong Mesh with Kong Konnect on an AWS ECS instance so that anyone will be able to get pre-production installation of Kong Mesh standing up on their own.

The emergence and growing adoption of generative AI and the agreement to and implementation of the EU AI Act uncannily coincided. These two factors have catalyzed an AI renaissance within many enterprises. Yes, companies were already applying AI here and there across their organizations — but responding to the impact of these two exogenous forces required a whole new way of thinking and doing. All of a sudden, all eyes were on AI.

Imagine you're an IT administrator managing sprawling hybrid cloud workloads and infrastructure with multiple service catalogs, each requiring meticulous attention to detail and manual analytic and administrative effort. Your team is constantly juggling between different tools, struggling with infrastructure observability and management productivity, facing challenges optimizing costs and gaining actionable insights.

FLIP-304 gives you the power to transform how failures are handled in Apache Flink. With custom failure enrichers, you can tag and classify errors, integrate enriched data with monitoring tools, and quickly identify root causes. Failures in distributed systems are inevitable, but managing them effectively makes all the difference. Enter FLIP-304: Pluggable Failure Enrichers, an upgrade that helps turn confusion into actionable insights.

When it comes to leveraging AI to capture business value, it’s worth asking, “what kind of AI do we need exactly?” There are significant differences between the methodologies collectively referred to as AI. While 2024 might have almost convinced us that gen AI is the end-all-be-all, there is also what’s sometimes called ‘traditional’ AI, deep learning, and much more.

In this blog post, we will explore how organizations can leverage Kong and OpenTelemetry to establish and monitor Service Level Objectives (SLOs) and manage error budgets more effectively. By tracking performance metrics and error rates against predefined thresholds, teams can prioritize their work based on the impact on user experience and business objectives. This approach helps optimize the balance between innovation and reliability.

Cloud native application development relies heavily on APIs. APIs have proven themselves as a scalable and efficient way to capture, deploy, and scale functionality. Consequently, APIs became a target for malicious actors to misuse. Therefore, building quality APIs with adequate security controls is essential. Kong is the world’s most popular API gateway. Kong Konnect is a unified API platform.

If you’re relying on JasperReports or Crystal Reports to power your data reporting and insights, you’ve likely heard the news: many popular versions are reaching end-of-life, and it’s time to start planning your next steps. Keeping up with your reporting solution’s end-of-life dates aren’t just about deadlines—it’s about ensuring your organization’s reporting capabilities remain reliable, secure, and future-proof.

With the newest release of Tricentis LiveCompare, we have updated SAP HANA apps, the Smart Impact apps dashboard, and other aspects to improve your experience. With new features for templates, reports, accessibility, user interface, performance, and test repositories, LiveCompare has even more robust capabilities to enable your organization to have a fast, efficient, and trustworthy testing process.

Our Kubernetes support is available for Amazon, Google, Azure, and local deployments.