You know Big-O is important - not only for acing your next job interview but for knowing how code works at scale. But have you ever taken the time to go beyond a superficial understanding of the subject? In this article, Julie Kent uses equal parts math and Ruby to reveal the beating heart of Big-O and show us how it ticks.

The Organization: Home Healthcare Provider with over 30 locations across the U.S.

AppDynamics, the leader in application performance monitoring, is the only APM vendor with a comprehensive monitoring solution for SAP applications.

The infrastructure that runs your applications can be nearly as complex as the applications it supports. This complexity generally scales with the resilience of the architecture of your application, the scaling needs, and any security concerns. Thus, successful infrastructure for traditional applications often relies on a comprehensive tooling suite that allows the infrastructure engineers to iterate upon and improve your application’s resources.

Some of the most common challenges we hear about from customers are things that might be all too familiar to some of you. Things in IT have always changed rapidly, and it’s only picking up speed. The explosion of DevOps, cloud-centric architectures, and software-defined networking are making it increasingly difficult to keep monitoring and management tools in sync with the environment. This leads to another issue – management and individual teams lack visibility into the whole environment.

I have a confession to make. I was going to use this blog to wax poetically about the flaw inherent in the well-established notion of the Three Pillars of Observability. I was going to argue that a fourth pillar was badly needed: topological metadata. In other words, without annotating each data stream across the three common data types with a pointer to where that data in the deployment topology was coming from, all you have is a lot of data with no chance of making sense of it.

The potential for disrupting business is much greater when you decommission a data center than if you’re constructing one. The process involves a lot more than just shutting down servers, turning off switches, and dismantling storage racks. In this article, we’ll consider some of the specifics and best practices required to achieve a smooth decommissioning process.

Today we’re excited to announce the general availability of InfluxDB Cloud for Google Cloud. With this new service, GCP users can now use our leading time series data platform on Google infrastructure. This lets you address a wide range of use cases: server monitoring, IoT sensor data tracking, real-time customer analytics, application performance metrics, network monitoring, security threat detection, and financial market analysis.

SAN FRANCISCO — February 4, 2020 — InfluxData, creator of the time series database InfluxDB, today announced the availability of InfluxDB Cloud on Google Cloud. The strategic collaboration, originally announced in April 2019, is part of a major Google Cloud initiative to make the most powerful open source technologies more accessible to its customer base.

NiCE IT Management Solutions is proud to serve global key-players in advanced Microsoft Office 365 performance and health monitoring. Read the latest customer reference on how the NiCE Active 365 Management Pack is enabling a global packaging solution provider to stay on top of Microsoft Office 365 monitoring operations.