Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

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Who Can Benefit From Kafka Monitoring Services?

The benefits of Apache Kafka monitoring services are widely appreciated across the industry. Organizations that rely heavily on Apache Kafka for their data streaming needs can derive great benefit from the use of Kafka monitoring services. By keeping track of various different key performance indicators (KPIs) related to Kafka, such as message throughput and latency, organizations can ensure that their Kafka-based data pipelines are running as smoothly and efficiently as possible.

Splunk Embarks on AWS Graviton Journey with Amazon EC2 Im4gn and Is4gen Instances

We are excited to announce that Splunk Cloud Platform is moving to next generation AWS Graviton2 processor hardware to help enable enhanced performance for customers who choose AWS as a provider. This begins a phased transition of our Splunk Cloud Platform indexer tier in a move that will help Splunk operate more efficiently and provide customers with the cutting edge in processing technology.

A Primer for Monitor as Code: How to use Splunk Observability Cloud with Terraform

Managing the complexities of today’s cloud native infrastructure has resulted in the increased need for observability. As cloud adoption continues to grow, the need to deliver a better customer experience, scale efficiently and increase momentum on innovation has never been more important. For many organizations to carry out these principles, two technologies are helping organizations deliver on these goals faster: Monitoring-as-Code and Infrastructure-as-Code.

Pivoting InfluxDB Series Data into Relational Layouts

Most developers are more familiar with the shape of relational data than the shape of time series data. InfluxDB stores time series data in such a way to maximize its effectiveness. As developers get more familiar with time series data, it may be helpful to view time series data in a relational layout. Fortunately, Flux language makes it easy to present your time series data the way that's useful for you.

DevOps.JS Workshop: Tracking errors and slowdowns across JS applications using Sentry

Join Simon Zhong, Sentry Sales Engineer, as he goes through setting up Sentry step-by-step to get visibility into our frontend and backend. Once integrated, he will track and triage errors + transactions surfaced by Sentry from our services to understand why/where/how errors and slowdowns occurred within our application code. This workshop took place live at DevOps.JS Conference on March 21, 2022.