With its open-source nature, PHP has evolved into one of the most popular languages among web developers. According to w3techs, 78 percent of websites across the globe use PHP as their server-side language. Even amongst the top 1,000 ranked sites, PHP is dominant, being used by more than 50 percent of them.
Production environment stability and high availability are the holy grail of every SaaS company. R&D organizations put a lot of effort into achieving these goals by implementing different monitoring and alert methodologies and by utilizing a variety of systems and tools. Mean-time-to-detect (MTTD) and mean-time-to-repair (MTTR) are two crucial KPIs that help R&D management personnel determine the efficiency and proficiency of their teams’ responses to production incidents.
This article provides an overview of managing and analyzing Docker logs and explores some of the complexities that may arise when looking through the log data. We will go through the default logging approach, as well as look at some more advanced configurations that will make diagnosing issues in your Docker-hosted applications much easier going forward.
Kibana is considered the “window” to Elasticsearch and indeed it’s a powerful UI for searching, filtering, analyzing, and visualizing Elasticsearch data, but Kibana settings are also used to configure, administer and monitor the Elasticsearch cluster. In this lesson, we’re going to explore how Kibana settings can be tweaked for collaborative teamwork. Without further ado let’s jump right into spaces!
Have you ever been paged for a critical issue and started troubleshooting only to find an obvious drop in requests that weren’t caught by a static threshold? Or a significant increase in a metric that didn’t cross a static threshold? Or even, evidence of warning alerts triggered long ago that should have enabled someone to resolve the issue and prevent it from causing business impact, but instead was ignored in the massive alert volume received by the team?
For decades, information technology in the financial services industry meant deploying bulky applications onto monolithic systems like mainframes. These systems have a proven track record of reliability, but don’t offer the flexibility and scalability of more modern architectures such as microservices and cloud computing. During periods of unexpectedly high demand, this inflexibility can cause technical issues for organizations ranging from personal trading platforms to major banks.
Managed Service Providers (MSPs) in IT have the unenviable task of hastening the digital transformation in companies, especially during these trying times. It becomes even more onerous, considering that the hardest-hit segment of Small and Medium Businesses (SMBs) are their major customers. According to the Global State of the MSP report, cloud migrations and security are expected to be the top drivers of MSPs growth for MSPs in 2020.
Calico was designed from the ground up with a pluggable dataplane architecture. The Calico 3.13 release introduced an exciting new eBPF (extended Berkeley Packet Filter) dataplane targeted at those ready to adopt newer kernel versions and wanting to push the Linux kernel’s latest networking capabilities to the limit.
Today, we are excited to share the first in a series of Employee Experience (EX) focused eBooks, helping you understand how Catchpoint can be used to ensure you get the best digital performance for your employees. In this eBook, we focus on five use cases, demonstrating through examples, how to best utilize digital experience monitoring for G Suite.
