Operations | Monitoring | ITSM | DevOps | Cloud

Imagine you’re curious about the number of Super Bowl wins by each NFL team from 1967 to 2024. Stay with me – stranger things are googled every day.

In time-series databases, the choice between Prometheus and InfluxDB is often essential for businesses and developers. These two OSSs (Operations Support System) offer better solutions for managing and analyzing time-stamped data yet diverge in their approaches, features, and use cases. Understanding differences and shared functionalities between Prometheus and InfluxDB becomes a primary need as organizations navigate the complexities of handling vast streams of time-series data.

This article highlights the main benefits, including the ability for users to generate service tickets directly within Microsoft Teams, leading to streamlined workflows and faster response times.

Managing cloud migration, cybersecurity, and your IT stack – all of which somehow always needs to be updated – while juggling turning a profit is more than a full-time job. It’s downright impossible without the right team, the right expertise. That’s where managed service providers come in. Managed service providers (MSPs) are third-party companies who are the experts you need.

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.

Rocky Linux is a community-driven, open source operating system that is backed by CIQ, the primary sponsor and support provider. This OS is a powerful alternative for those seeking a downstream, binary-compatible option to Red Hat Enterprise Linux (RHEL). CIQ supports Rocky Linux as a response to changes in the CentOS project, which is no longer maintained as a stable downstream clone of RHEL.

In the early 2010s, Apache Hadoop captured the imagination of the tech community.

As devs, we know the age-old question of, “How long do you think it will take?” oh too well. Regardless of experience and position within the development cycle, this inquiry always comes loaded with expectations and complexities, a concept I refer to as Speed to Delivery Time (SDT). To be clear, SDT isn’t just about marking days on a calendar.

Single sign-on (SSO) is an important security function for many business enterprises, especially with the rise of more cloud apps and services. Essentially, an SSO allows a user to log into a device only once with a single set of credentials to gain access to a variety of corporate apps, websites, and data.

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.