Operations | Monitoring | ITSM | DevOps | Cloud

The OpenTelemetry Transformation Language, or OTTL for short, offers a powerful way to manipulate telemetry data within the OpenTelemetry Collector. It can be leveraged in conjunction with OpenTelemetry processors (such as filter, routing, and transform), core components of the OpenTelemetry Collector. It caters to a range of tasks from simple alterations to complex changes.

In today's digital landscape, applications are at the heart of both our personal and professional lives. We've grown accustomed to these applications being perpetually available and responsive. This expectation places a significant burden on the shoulders of developers and operations teams.

Traditional software development and infrastructure management module for production and service has been overtaken by the quicker-paced delivery of services and applications, DevOps. This outperformance by DevOps in response to the traditional approach has led to numerous organizations making DevOps a fundamental part of the company.

In the swiftly changing digital realm of the finance and insurance sectors, sustaining operational resilience while complying with rigorous regulatory mandates is paramount. The Digital Operational Resilience Act (DORA) marks a significant regulatory milestone designed to ensure entities within the financial services sector are equipped to withstand, respond to, and recover from all types of ICT (Information and Communication Technology) related disruptions and threats.

Dashboards provide an enhanced view of your most critical business metrics. With the majority utilizing both real-time and historical data, they enable you to promptly respond to current trends as well as accurately forecast for the future. Also, reporting dashboards excel when compared to static reports, in regards to presenting data and objectives to stakeholders.

A couple of years ago, I wrote another blog on how Oracle Cloud Infrastructure (OCI) Object Storage can be used as a data lake since it has an Amazon S3-compliant API. Since then, I’ve also fielded several requests to capture logs from OCI Services and send them through Cribl Stream for optimization and routing to multiple destinations. There are two primary methods to achieve this.

Log monitoring has become crucial nowadays as more than 90% of organizations use cloud services, containers, and other technologies to stay ahead of their competitors. This excessive adaption of the latest technologies and services is great for businesses but it also makes everything a bit more complex. Consequently, the volume, velocity, and diversity of logs rise exponentially as a result of this complexity.

Artificial intelligence tools are everywhere, and it’s no mystery why. They can carry out a huge variety of tasks and find the solutions to many everyday problems. But these apps are only as good as their AI search algorithm. In simple terms, an AI search algorithm is the decision-making formula an AI tool uses to find the optimal solution to your specific problem. Search algorithms may make trade-offs between speed, relevance, or another weighted factor.