Operations | Monitoring | ITSM | DevOps | Cloud

A lot happened last quarter, so you might have missed a few of the shiny new features now included with SolarWinds® AppOptics™. Don’t worry, we rounded up the recent updates here so you can get the most out of your application performance monitoring (APM) with AppOptics. Simplified Application Root Cause and Service- and Trace-Level Root Cause Summary Views The new service- and trace-level views expand the types of IT professionals who can use AppOptics.

The insidious spread of COVID-19 across the globe has accelerated changes to our way of life. The reliance on the internet saw a prodigious increase in March 2020 as people started relying on digital means to work, buy groceries, order food, and basically ensure they could stay home and stay safe! More people doing things online means more opportunities for cyber-attacks.

Thank you so much to all who attended Raw & Real Ep. 5 “All Aboard! Bring Your Team Together,” and to any who take the time out of their busy days to watch the recording 🙂 This was a session for those who would describe yourselves as “internal champions” of Honeycomb and Observability.

AWS Step Functions is a great service for orchestrating multi-step workflows with complex logic. It’s fast to implement, relatively easy to use and just works. The problem is its price. For relatively low-scale projects, it’s a feasible solution. But for large-scale, enterprise-grade orchestration with hundreds of millions of processes, each with dozens of steps, it can be cost prohibitive.

San Jose, CA, August 6, 2020 – AUCloud’s IT infrastructure has seen a 30% savings in IT capacity and a 20% improvement in performance by implementing deep IT monitoring tools. The Australian Government and Critical National Industry Infrastructure-as-a-Service (IaaS) provider’s improvements in results were gained through its partnership with Virtana, a leader in enterprise hybrid cloud migration and optimization.

The Silicon Review In today’s digital era, the IT organizations equipped to see and fully understand their applications and infrastructure are well poised to find, fix, and prevent performance or cloud-related issues – often before they arise. However, without expert guidance and fine-tuned solutions, digital transformation and the promise of hybrid cloud infrastructures can create unforeseen complexities throughout the process.

Today, we made an important announcement that builds on and extends our category leadership in Continuous Intelligence. This blog is to put that announcement into context for our customers, partners and the broader industry. In 2017, we shared our strategy to democratize machine data by building a cloud-native, Continuous Intelligence Platform™ to 1) unify modern application and machine data; 2) support the ongoing proliferation of users and access; and 3) leverage cloud-scale economics.

As more and more applications move to the cloud, the complexity of application architectures inevitably increases. It is a burden we willingly take on because the benefits—flexible deployment, technology diversity, independent scaling, and much more— tend to far outweigh the costs. But along this transition, most organizations face a dilemma, to divert resources to the necessary tooling for effective monitoring and troubleshooting of these systems – i.e.

Isn’t all logging pretty much the same? Logs appear by default, like magic, without any further intervention by teams other than simply starting a system… right? While logging may seem like simple magic, there’s a lot to consider. Logs don’t just automatically appear for all levels of your architecture, and any logs that do automatically appear probably don’t have all of the details that you need to successfully understand what a system is doing.