Operations | Monitoring | ITSM | DevOps | Cloud

Data science has exploded as a practice in the past decade and has become an undisputed driver of innovation. The forcing factors behind the rising interest in Machine Learning, a not so new concept, have consolidated and created an unparalleled capacity for Deep Learning, a subset of Artificial Neural Networks with many “hidden layers”, to thrive in the years to come.

The temptation to dive into user experience design without actually testing to see if your efforts are taking you in the right direction may be weighing on you right now, especially if there are other pressures that are prompting you to push forward with a project as quickly as possible. However, good UX testing can make for a great end product that is not only more satisfying for end users, but is also easier to manage, maintain and update at the backend.

Our digital world is evolving and advancing at an unimaginable pace – and so are the expectations of end users. Momentum is everything in today’s united world, and having a poor performing website or application will likely result in the confidence of your products and services. And worse yet, any dissatisfaction perceived from the user will also likely result in them going straight to your competitor. This is an immediate impact on your revenue, brand, and customer confidence.

This article explores how we can reverse engineer Docker images by examining the internals of how Docker images store data, how to use tools to examine the different aspects of the image, and how we can create tools like Dedockify to leverage the Python Docker API to create Dockerfiles from source images.

I started in the IT industry in networking. I had a negative experience in high school trying to learn computer programming*, so I was relieved route/switch had much less to do with computer programming. With the rise of the machines, this isn’t the case anymore. Now in addition to learning router or switch operating systems, routing protocols, and overlay technologies, today’s savvy network engineer needs to throw in things like Python, Ansible, and Jinja.

When applications experience performance issues, developers may rely on heuristics and find the root cause of issues by directly looking into their code. However, in modern application environments, several services, third-party APIs, and cloud-based components can make it difficult to pinpoint the root cause of an issue. Application logs can help developers detect and resolve issues faster.

We added out of the box alerts for irregular behaviors. Lumigo Insights will trigger an alert the second it detects an irregularity with your functions ensuring you’ll know the second things start to go sideways.

From AliExpress to Forbes, Starbucks, Instagram, George, Trivago, Uber, and Medium, a vast number of top brands have switched to the PWA environment and recorded a significant rise in their ROI. Especially, in terms of faster app loading & higher customer engagement and retention rate. These brands have not just unveiled the numbers publicly, but have also encouraged others to step into the PWA development world.

With many companies utilizing remote-working during the COVID-19 pandemic, effective communication is more important than ever. Unfortunately, being in the middle of responding to a global pandemic will not prevent your organization from suffering from other business disruptions. Likely disruptions you may face are: Cyber/ phishing attacks – these attacks can cripple your regular communication methods such as email, or may exploit ineffective communications to extract illegal payments.

23 May 2020 In early March we noticed an increase in the overall number of downtimes logged at Downtime Monkey. This was when COVID-19 related lockdowns were beginning in many countries so we decided to dig into the data to see if there was a correlation. Here are the results...