Introduction Salesforce Commerce Cloud empowers thousands of retailers worldwide to create seamless shopping experiences. Behind these experiences lies a complex infrastructure that demands reliable monitoring at scale. As the platform evolved from static, first-party instances to dynamic cloud-based environments, the monitoring needs outgrew the self-managed Prometheus solution. This post details Salesforce’s Commerce Cloud journey from […]| AWS Cloud Operations Blog
Today, we’re excited to announce new enhanced features in Amazon CloudWatch Application Signals that simplifies how you monitor large-scale distributed applications. Improvements to CloudWatch Application Signals application map automatically discovers and organizes services into groups based on their relationships, with support for custom grouping that aligns with your business perspective. You can now view the […]| Amazon Web Services
Managing metrics collection at scale in complex cloud environments presents significant challenges for organizations, particularly when it comes to controlling costs and maintaining operational efficiency. As the volume of metrics grows exponentially with the expansion of container deployments and other cloud-native workloads, customers often struggle to balance comprehensive monitoring with resource optimization. This can lead […]| Amazon Web Services
Effective log management and analysis are critical for maintaining robust, secure, and high-performing systems. Amazon CloudWatch Logs Insights has long been a powerful tool for searching, filtering, and analyzing log data across multiple log groups. The addition of OpenSearch Piped Processing Language (PPL) and OpenSearch SQL language query support offers greater flexibility and familiarity in […]| AWS Cloud Operations Blog
Modern architectures generate vast amounts of observability data across metrics, logs, and traces. When issues arise, teams spend hours—sometimes days—manually correlating information across multiple dashboards to identify root causes, directly impacting MTTR and productivity. Amazon CloudWatch Application Signals addresses this challenge by providing deep application visibility through automatic instrumentation, capturing key metrics like latency, error […]| AWS Cloud Operations Blog
As organizations rapidly deploy large language models (LLMs) and generative AI agents to power increasingly intelligent workloads, they struggle to monitor and troubleshoot the complex interactions within their AI applications. Traditional monitoring tools fall short in providing the visibility across components, leading to developers and AI/ML engineers to manually correlate interaction logs or building custom […]| Amazon Web Services
In today’s digital healthcare landscape, optimal application performance and user experience are crucial for business success. Indegene, a digital-first life sciences commercialization company, combines deep medical expertise with domain-contextualized technology to help clients accelerate innovation, modernize operations, and improve customer experience. With the world’s top 20 pharma companies among its clientele, Indegene brings an AI-first […]| Amazon Web Services
In this post, you’ll learn how Zapier has built their serverless architecture focusing on three key aspects: using Lambda functions to build isolated Zaps, operating over a hundred thousand Lambda functions through Zapier's control plane infrastructure, and enhancing security posture while reducing maintenance efforts by introducing automated function upgrades and cleanup workflows into their platform architecture.| AWS Architecture Blog
