Category: Riverbed
The Unpredictability of Office 365 Performance in a Work-from-Home Culture
I often talk about modern workforces and how we have evolved from the 9 to 5 culture of going to work at some office or branch, and 8-hours later we come home. Sort of funny to even think that those days ever existed when today we’re
Three Myths About Big Data and APM
In my last blog, I focused on how a big data approach can be applied to application performance monitoring (APM) to accelerate mean time to repair. Unlike data sampling or use of triggers, a big data approach to APM ensures that all the data is
5 Most Common Application Performance Issues
Some things never change: application performance issues Flashback to twelve years ago when I was working at Mercury Interactive on their managed service for application performance management (APM). That year, Italy won the World Cup (again)
Five Tips for Supercharging Your DevOps Practice with APM
In today’s digital landscape, application performance matters more than ever before. This is perhaps best underscored by a recent Riverbed survey that revealed 99% of decision-makers believe that optimizing digital performance (i.e., the
Answering the “What and Why” of Performance Bottlenecks
I’ve seen it time and time again. SteelCentral APM users are finding and fixing application performance issues faster than ever thanks to Performance Graph and TruePlot. I’ve been a fan of these analytics features since their
AI & Data Analytics help Extracting Business and App Intelligence
Application environments are changing, the way we build applications and the way we deploy them is changing. Microservices deployed in containers across dynamic cloud infrastructure create an ephemeral and distributed environment at a scale we
AI & Data Analytics that put Application Log Data in Context
Application log messages are a crucial source of diagnostic information for applications teams, but Splunk and other log analytics solutions are an expensive and inefficient way to capture and process this data. Integrating log analysis fully
How Hyperscale Architecture Can Achieve Big Data Scalability
Billions of transactions a day. Thousands of distributed traces. Dynamic workloads. The reality of monitoring modern hyperscale cloud-native applications is a big data reality where the application environment changes rapidly with short time
DDoS: It’s Not a Matter of If, But When
A distributed-denial-of-service or DDoS attack is a cyber-attack that renders a machine or network resource that is connected to the Internet temporarily unreachable to its intended users. The attacker’s goal is to disrupt business by consuming
Five Common Misconceptions about DDoS
In my first blog on distributed denial-of-service (DDoS) detection, “DDoS: It’s Not a Matter of If, But When,” I provide a brief understanding why someone might initiate a DDoS attack and outlined the three variations of attacks. In part two ofLoad More