Operations | Monitoring | ITSM | DevOps | Cloud

Can you be incompetent and still stay in business? Not as far as your web infrastructure is concerned. All the studies show that when a website is unavailable, or even just slow to load, customers go elsewhere—and often they don’t come back. After all, if you can’t keep a website up and running, why should people trust you to deliver any other product or service? So it’s worth asking: how reliable is your website relative to the top brands in your industry?

Editor’s note: This is a follow up to a recent post on how to use Cloud Logging with containerized applications running in Google Kubernetes Engine. In this post, we’ll focus on how DevOps teams can use Cloud Monitoring and Logging to find issues quickly. Running containerized apps on Google Kubernetes Engine (GKE) is a way for a DevOps team to focus on developing apps, rather than on the operational tasks required to run a secure, scalable and highly available Kubernetes cluster.

Most business verticals are now digitized. Consumers prefer online shopping, rather than going to a store. Within a few clicks, you can purchase any item of your choice and get it delivered to your doorstep. One of the key reasons for online businesses gaining popularity is their time-saving nature. So, the main goal of any website should be to deliver the best end-user experience.

Icinga Web 2 and all its modules have been localized from the very beginning. There were also quite a few languages added. Just recently Icinga Web 2 and the Director got a Japanese locale! And a updated Russian as well as a new Spanish (Argentina) locale are in the works at the moment. Over the years our Saudi Arabian, German, Finnish, Italian, Japanese, Brazilian, Russian and Ukrainian users were able to experience Icinga Web 2 and some of its modules in their native tongue.

We recently wrote about whether API Gateway can act as a Load Balancer. The answer is yes and, in many cases, they are substitutes for each other. But how should we choose which one to use? In this article, we will dive into more details on how these two types of HTTP networking services compare, using the AWS services as a base level: API Gateway and Application Load Balancer (ALB). Both are highly-scalable services to a point that scalability should not be a concern for most use cases.

Alert management is no longer a manageable task, given the growth in applications, cloud environments and point monitoring tools. Too much time is spent filtering and making sense of alert data and determining where to route incidents. All of these steps slow down critical issue identification and resolution. In this article, I want to discuss a more sensible, modern way to deal with IT alerts, through machine learning intelligence and automation.

It’s probably true to say that if you asked an average user what makes a great web application, they’d probably say “speed.” But speed is the probably the least important aspect of an extensive rundown of elements. Factors like application development and rendering in the program are probably higher on that list. And what makes up a great performing application? And when something goes wrong, how do you know?

Security is vital for protecting company assets and data subjects. Evolving data protection regulations, like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), have thrown light on security breaches and the security architecture of those compromised. In 2019, the global average cost for a data breach was $3.9 million, not including reputational damage and hidden costs.

I wanted to better understand how COVID-19 has been developing in South America. As I’ve recently started playing with InfluxDB, the open source time series database, I created a dashboard of cases and deaths using InfluxData’s platform. I usually use InfluxDB, Chronograf, Grafana, Zabbix and other similar solutions to monitor services and systems. However, until this point, I hadn’t used them to process and visualize other kinds of data.