Modern cloud-based application and infrastructure monitoring is a moving target. And it is one that very much depends on how “native” your cloud application is. Here is a list of monitoring metrics capabilities you should look for that pertain to time series and events.
At Queens, we’ve been dressing people from head to toe in the best streetwear and sneakers for the last 15 years. We are a global ecommerce company that also has three brick-and-mortar stores in the Czech Republic, which is where we come from. What started out as a thrift store with just a few pieces of clothing is now a company with 50 employees in three different locations and €7 million in annual turnover.
Kubernetes is quickly becoming the de facto way to deploy workloads on distributed systems. In this post, I will help you develop a deeper understanding of Kubernetes by revealing some of the principles underpinning its design.
Our recent webinar on 2019 Performance and Management Trends and Insights featured Nancy Gohring, Senior Analyst at 451 Research and Darren Cunningham, VP of Marketing at OpsRamp. The webinar reviewed key findings from recent surveys on performance monitoring and how IT automation investments (artificial intelligence and machine learning) are helping enterprises combat the twin problems of alert fatigue and incident downtime.
As applications are getting more complex, it’s becoming harder to deliver high-quality applications. Tools like Application Performance Monitoring (APM) are essential for the development process. To get good performance data, developers need to deal with the rising trends of containerization, microservices, heterogeneous cloud services, and big data.
The 1980s was a period that set the ball rolling for many aspects of the technology that we are using today. Personal computers, such as the BBC Micro and similar devices, introduced the world in general to the power and potential of IT – a capability that has grown massively in sophistication and capability, to the point that it has become fundamental to many aspects of life at work and at home.
With our on-premise alerting software Enterprise Alert you can deeply integrate into your IT infrastructure and other backend systems as well as communication infrastructure. For some alerting scenarios it might be useful to notify teams independently from your own communications environment or infrastructure. In this case our new app-based alerting service SIGNL4 can be a great asset. SIGNL4 is a plug&play cloud solution.
2.10.3 fixes TLS connections with masters and agents on reload and “Connection: close” headers with Ruby clients. We’ve also tackled long-term problems with (scheduled) downtimes in HA-enabled cluster environments. 2.10.3 also fixes a problem with time offsets and check results from the future.
Recently, I sat down with Ana Medina of Gremlin for a PagerDuty Community AMA! Ana is currently working as a Chaos Engineer at Gremlin, helping companies avoid outages by running proactive chaos engineering experiments. Previously, she worked at Uber as an engineer on the SRE and Infrastructure teams, where she specifically focused on chaos engineering and cloud computing. Catch her tweeting at @Ana_M_Medina about traveling, diversity in tech, and mental health.
Although since 1985 the federal government of the United States of America provided the radio bands (frequencies) to be used for our daily use, it was not until 1999 when the brand Wi-Fi® was registered, which means wireless fidelity and in that same year was founded the WECA (Wireless Ethernet Compatibility Alliance).
