Amazon DevOps Guru resources

Blogs

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Total results: 32
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  • Ryota Shima, Kazuki Matsumura, 07/11/2022
    This guest post is co-authored by Ryota Shima, Application Architect, and Kazuki Matsumura, Lead Architect at NRI Digital. NRI Digital has a wide variety of systems in production, both on-premises and cloud-based. Among them, many systems are built on AWS, and Amazon Aurora and Amazon Relational Database Service (Amazon RDS) are often used as the [...]
  • Vikas Lokesh, 06/23/2022
    Amazon DevOps Guru for RDS is a new capability for Amazon DevOps Guru that helps developers using Amazon Aurora database instances detect, diagnose, and resolve database performance issues fast and at scale. DevOps Guru for RDS uses machine learning (ML) to automatically identify and analyze a wide range of performance-related database issues, such as over-utilization [...]
  • Kishore Dhamodaran, Jared Keating, Maxym Kharchenko, Simsek Mert, 05/10/2022
    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 [...]
  • Venkata Moparthi, Mohit Gadkari, 03/09/2022
    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 [...]
  • Jeff Finley, Jennifer Houston, Adnan Bilwani, 02/09/2022
    As a modernization service provider, Effectual is focused on a cloud-first approach that includes end-to-end managed and professional services for every stage of IT modernization. Effectual views managed services from a holistic perspective that prioritizes security and compliance. Learn how they were able to integrate AWS next-generation monitoring, as well as operational services like Amazon DevOps Guru, to enhance the company’s managed services offering.
  • Harish Vaswani, Rafael Ramos, 01/05/2022
    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 [...]
  • Dr. Rahul Sharad Gaikwad, Chris Riley, Leo da Silva, 12/15/2021
    Observability in a container-centric environment presents new challenges for operators due to the increasing number of abstractions and supporting infrastructure. In many cases, organizations can have hundreds of clusters and thousands of services/tasks/pods running concurrently. This post will demonstrate new features in Amazon DevOps Guru to help simplify and expand the capabilities of the operator. [...]
  • Suneel Joshi, 12/30/2021
    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 [...]
  • Ifeanyi Okafor, Haider Naqvi, 11/17/2021
    Amazon DevOps Guru is a fully managed service that uses machine learning (ML) to continuously analyze and consolidate operational data streams from multiple sources, such as Amazon CloudWatch metrics, AWS Config, AWS CloudFormation, AWS X-Ray, and provide you with a single console dashboard. This dashboard helps customers improve operational performance and avoid expensive downtime by [...]
  • Trishanka Saikia, Gerhard Poul, 11/02/2021
    Monitoring is fundamental to operating an application in production, since we can only operate what we can measure and alert on. As an application evolves, or the environment grows more complex, it becomes increasingly challenging to maintain monitoring thresholds for each component, and to validate that they’re still set to an effective value. We not [...]
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