Category: Artificial Intelligence

This guest post was authored by Sapan Jain, DevOps Engineer at Slice, and edited by Sobhan Archakam and Adnan Bilwani, at AWS. Slice empowers over 18,000 independent pizzerias with the modern tools that have grown the major restaurant chains. By uniting these small businesses with specialized technology, marketing, data insights, and shared services, Slice enables them […]

605 is an independent TV measurement firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization, and analytical solutions, all on top of their multi-source viewership data set covering over 21 million U.S. households. 605 has built their technology solutions on AWS with dozens of accounts and tens of thousands of resources to […]

Watts S. Humphrey, the father of Software Quality, had famously quipped, “Every business is a software business”. Software is indeed integral to any industry. The engineers who create software are also responsible for making sure that the underlying code adheres to industry and organizational standards, are performant, and are absolved of any security vulnerabilities that […]

Introduction Have you ever wondered if there are low-hanging optimization opportunities to improve the performance of a Spark app? Profiling can help you gain visibility regarding the runtime characteristics of the Spark app to identify its bottlenecks and inefficiencies. We’re excited to announce the release of a new Spark plugin that enables profiling for JVM […]

The Relational Database Management System (RDBMS) is a popular choice among organizations running critical applications that supports online transaction processing (OLTP) use-cases. But managing the RDBMS database comes with its own challenges. AWS has made it easier for organizations to operate these databases in the cloud, thereby addressing the undifferentiated heavy lifting with managed databases […]

AWS customers, regardless of size and market segment, constantly seek to improve application performance while reducing operational costs. Today, Amazon DevOps Guru generates proactive insights that enable you to reduce the cost and improve the performance of your AWS Lambda application. By proactively analyzing your application and making these cost-saving and/or performance-improving recommendations, DevOps Guru […]

Amazon CodeGuru is a developer tool that provides intelligent recommendations for identifying security risks in code and improving code quality. To help you find potential issues related to logging of inputs that haven’t been sanitized, Amazon CodeGuru Reviewer now includes additional checks for both Python and Java. In this post, we discuss these updates and […]

A common problem in software development is accidentally or unintentionally merging code with bugs, defects, or security vulnerabilities into your main branch. Finding and mitigating these faulty lines of code deployed to the production environment can cause severe outages in running applications and can cost unnecessary time and effort to fix. Amazon CodeGuru Reviewer tackles […]

This post was written in collaboration with Kapil Thangavelu, CTO at Stacklet Amazon DevOps Guru is a machine learning (ML) powered service that helps developers and operators automatically detect anomalies and improve application availability. DevOps Guru utilizes machine learning models, informed by years of Amazon.com and AWS operational excellence to identify anomalous application behavior (e.g., increased […]

Amazon DevOps Guru is an ML powered service that makes it easy to improve an application’s operational performance and availability. By analyzing application metrics, logs, events and traces, DevOps Guru identifies behaviors that deviate from normal operating patterns and creates insights that you can use to improve your application. At re:Invent 2021, we announced a […]