3 Steps to containerize your Spring Boot Application

3 Steps to containerize your Spring Boot Application

Spring Boot's popularity stems from its ease of creating standalone, production-ready applications and its support for container environments, featuring auto-configuration and embedded web servers. Moreover, a large developer community offers support. The post demonstrates containerizing a simple Spring Boot app using Docker in three steps: creating a Dockerfile, building a Docker image, and running a Docker container. The process includes setting up the Java environment, exposing ports, and specifying runtime commands. The successful deployment allows access to the application via port mapping between the host and the container.
DBS takes accountability of its IT resilience

DBS takes accountability of its IT resilience

Mr. Gupta, CEO of DBS Bank, acknowledged the bank's recent technological failings and its $25 million expenditure toward a $80 million goal for tech improvements. Following service outages that disrupted customer transactions, the bank faced regulatory sanctions, including a ban on non-essential IT changes and higher capital requirements. Senior executives took pay cuts, including a 30% salary reduction for Gupta, as a part of accountability measures. The events underscore the need for robust site reliability practices in Singapore's advanced digital payment landscape.
getting started with observability

Getting started with observability

This tutorial explains monitoring cloud infrastructure using eG Innovations' SaaS, detailing steps from signing up for a trial to monitoring AWS cloud instances. The process, utilizing a remote agent, covers discovering cloud resources, installing agents for converged monitoring (Metrics, Events, Logs, Traces), and receiving alerts for anomalies. Observability without writing scripts through Metrics-Events-Logs-Traces (MELT) is emphasized, with the promise to later discuss different monitoring methods.
What is MELT? Why is it Essential for Observability?

What is MELT? Why is it Essential for Observability?

MELT, an acronym for Metrics, Events, Logs, and Traces, is a framework essential in SRE for comprehensive system performance monitoring. It facilitates observability by providing data on system health, recording events, offering detailed logs, and tracing complex transactions. Through MELT, businesses can proactively manage their systems and enhance user experiences.