What You Need To Know About Managing and Monitoring Kafka Transactions
Navigating observability challenges in agile infrastructures like Kafka can be daunting and complicates managing the health and performance of distributed environments, but leveraging modern, cloud-native monitoring tools can empower I&O leaders to enhance business outcomes. In this on-demand session, explore Kafka’s significance and the importance of observability using Avada’s Infrared360®.
You’ll also learn how to:
- Identify essential Kafka monitoring components, such as topics and servers.
- Establish conditions, thresholds, and creating alerting scenarios in seconds.
- Enable secure self-service and automate Kafka incident resolution.
- Create useful dashboards with real-time and/or historical data for teams across your organization.
- Organize users and assets for optimal management practices.
Plus, uncover handy Infrared360 tips for Dev/test and other non-production teams.
All Resources
Nigel Henderson, Certified IBM MQ Administrator, Consultant
Nigel explores the complexities of naming standards within IBM MQ, emphasizing the importance of well-structured conventions for efficient problem resolution. He guides you through various components like queue managers, channels, and queues, and highlights the benefits of organized administration. A well-maintained glossary and clear understanding aid both technical and non-technical people. Read his paper to learn best practices and insights.
David Corbett, Certified MQ Solution Designer and MQ
Administrator, USBank (Retired)
Dave discusses how IBM MQ facilitates real-time transmission of data across different OS platforms, but this creates issues in tracking down problems as the data has to traverse different systems with varying architectures and administered by personnel with different skill sets, leading to a lack of collaboration and a slower resolution of issues. Learn some tips to navigate these challenges.
Peter D’Agosta, Co-Founder & Chief Product Manager, Avada Software
Peter provides an overview of Kafka and the importance of observability in agile infrastructures, along with the benefits of using modern cloud-native monitoring tools to improve business outcomes; this session covers topics such as monitoring needs, setting conditions and thresholds, creating alerting scenarios, enabling self-service and automated incident resolution, creating useful dashboards, organizing users and assets for management best practices, and some cool tricks using Infrared360 for Dev/test and other non-prod teams.
Nick Felicione, Senior Vice President, Information Design, Inc. (IDI)
Watch this session now as Nick discusses the best practices for maintaining an MQ infrastructure that can result in cost savings, improved resource utilization, and investment protection, covering topics such as updates, security vulnerabilities, dead letter queue review, licensing, alternate MQ offerings, and protection from audits.
Arnold Shoon, Solutions Director at TxMQ
The shift from on-premises supported large software systems to the cloud, containers, and the API economy has challenged slow-moving organizations to adopt new methodologies like agile integration and DevOps to stay competitive, making it difficult for heavily invested Integration & Operations teams with rigid architectures such as SOA to find the right tools and frameworks to modernize. Arnold discusses the importance of APIs, benefits of utilizing more agile development, integration and deployment methods, and available tools for transitioning into the API Economy.
Naomi Scott, Offering Manager at IBM
Naomi discusses the challenge of maintaining reliability and performance levels while reducing costs in growing workloads and complex distributed environments. This session contrasts the benefits of an alternative deployment option to traditional messaging software that can produce cost savings and provide a demonstration on how to stay ahead of performance and reliability issues across the entire distributed enterprise messaging environment, covering topics such as cost-saving options, critical KPIs, best practices for monitoring and managing distributed enterprise messaging.