AWS Cloud Operations Blog

Jay Joshi

Author: Jay Joshi

Jay Joshi is a Monitoring and Observability Specialist at Amazon Web Services (AWS), where he helps customers build resilient applications through innovative observability solutions and best practices. When not solving complex observability challenges, he enjoys watching anime and spending time with his family. LinkedIn: /jay-p-joshi

How Indegene Optimizes User Experience with Amazon CloudWatch

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 […]

Monitor Java apps running on Tomcat server with Amazon CloudWatch Application Signals

Traditionally, Java web applications are packaged into Web Application Resource (WAR) files, which can be deployed on any Servlet/JSP container like Tomcat server. These applications often operate within distributed environments, involving multiple interconnected components such as databases, external APIs, and caching layers. Monitoring the performance and health of Java web applications can be challenging due […]

Monitor Python apps with Amazon CloudWatch Application Signals (Preview)

Monitor python apps with Amazon CloudWatch Application Signals

AWS announced Amazon CloudWatch Application Signals during re:Invent 2023. It is a new feature to monitor and understand the health of Java applications. Today we are excited to announce that Application Signals now supports Python applications. Enabling Application Signals allows you to use AWS Distro for OpenTelemetry (ADOT) to instrument Python applications without code changes. […]

Automating Amazon EC2 Instances Monitoring with Prometheus EC2 Service Discovery and AWS Distro for OpenTelemetry

Traditionally, scraping application Prometheus metrics required manual updates to a configuration file, posing challenges in dynamic AWS environments where Amazon EC2 instances are frequently created or terminated. This not only proves time consuming but also introduces the risk of configuration errors, lacking the agility necessary in dynamic environments. In this blog post, we will demonstrate […]