We are excited to unveil the next generation of SolarWinds® Papertrail™, SolarWinds Observability® logging. More powerful and faster than ever, the next generation of Papertrail, SolarWinds Observability logging aggregates log data from applications, services, infrastructure, databases, and network devices across both cloud-based and on-premise systems.

As organizations and their IT infrastructure become more complex the necessity for effective server monitoring grows. Companies are deciding to operate extensive server networks, utilizing both cloud infrastructure and on-premises data centers due to the ever-increasing demand. Today’s users demand as good as 100% uptime for the services they use, meaning optimal and well–established network connections are vital in order to handle large amounts of users and transactions.

As the person on the front lines, you know that providing the best service possible can be what makes your ITSM organization succeed. Every day, you work to build the relationships that help your organization create value for end-users. However, when you have inefficient processes, you end up having to be the person responding to an upset user.

As an organization, you likely have many choices on where to store, analyze, and correlate your data. Those choices may change or iterate over time, so having an easy way to route data is needed. Enter Cribl Stream, which can route your data where it needs to go and save some effort, time, and money. It can help with organizational-wide initiatives like migrations and consolidations but can also help with smaller-scale initiatives and your day-to-day tasks of simply getting data in.

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.

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 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.

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.

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.

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.