A few days ago, ICANN issued a statement where they call upon everyone to implement DNSSEC across their DNS infrastructure.

The DevOps era has turned traditional monitoring on its head with diverse, ephemeral data streaming from containers, microservices, and serverless functions as well as directly from the applications these new technologies enable. With efforts to efficiently utilize every drop of network, storage and compute, modern applications have created new challenges that render legacy IT operations management (ITOM) tools ineffective.

Inherently, Kubernetes clusters are multi-user. As a result, organizations want to ensure that cross-communication is protected via role-based access control, logical isolation and network policies. A container orchestration system such as Kubernetes brings information technology operations and developers (DevOps) closer together, making it easier for teams to collaborate effectively and efficiently with each other.

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.