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.

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.

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.

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.

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.

For years, companies have operated under the prevailing notion that AI is reserved only for the corporate giants — the ones with the resources to make it work for them. But as technology speeds forward, organizations of all sizes are realizing that generative AI isn’t just aspirational; it’s accessible and applicable now.

The smart payment provider combines ELT with fine-grained orchestration to boost efficiency and cut costs.

In today's interconnected and data-driven world, data is the lifeblood of any business, and this is especially true for agile mid-market companies. Data fuels innovation, drives decision-making, and enables personalized customer experiences. But this valuable asset comes with a significant responsibility: ensuring data protection and privacy to protect from cyber threats.

In today's fiercely competitive business landscape, exceptional customer service is no longer a differentiator—it's the price of entry. For mid-market companies leveraging Salesforce Agentforce, understanding agent performance and optimizing their effectiveness is absolutely crucial for survival and growth. As a data analyst, you wield the power to unlock the full potential of Agentforce data.