Operations | Monitoring | ITSM | DevOps | Cloud

Improving your team's on-call experience

Your engineers probably dislike going on-call for your services. Some might even dread it. It doesn't have to be this way. With a few changes to how your team runs on-call, and deals with recurring alerts, you might find your team starting to enjoy it (as unimaginable as that sounds). I wrote this article as a follow-up to Getting over on-call anxiety.

The Observability Pipeline

Today’s systems are more distributed, dynamic, and complex than ever before – plus, users have more expectations. Also, the historical reliance on an operations team to monitor, triage, and/or resolve issues has become untenable as the number of services increased. This means that many of the tools that were well-suited before might no longer be adequate.

When beginning your digital transformation journey, should you invest in machines or in enabling operators?

The term “Industry 4.0” originated from a committee of German technocrats who wanted to make predictions about where technology was headed next. And certainly, it fits nicely in the storyline of the initial Industrial revolution with the rise of machines powered by steam and water, the second revolution sparked by the use of electricity, and the third revolution of automated production with robots.

TOP 10 IT Trends

Observability has gained a lot of momentum in the past year, be it full stack observability or data observability. Modern complex IT systems using clouds, microservices and serverless are easy to develop and deploy but extremely difficult to observe. These systems generate tremendous amounts of data and need an automated way of handling the volume. The next era of delivering customer experience is underpinned by the full stack observability capability.

What are CDN Logs and Why Do They Matter

Content Delivery Network produces numerous log files called CDN logs to deliver video across the internet to our homes and mobile devices. These logs contain crucial information about the CDN servers' performance and video streaming quality. Also, it contains terabytes of data, which has its own set of hurdles in terms of handling it in real-time and performing analytics to understand user experience and network concerns.

Deploy ImageLabeller with Bitbucket

Follow along with this step-by-step video series as Warren Marusiak, a senior technical evangelist, demonstrates pushing a code change to production using Bitbucket Pipelines CI/CD. To demonstrate how to develop, deploy, and manage applications using Jira Software and various connected tools, our team created ImageLabeller, a simple demo application built on AWS that uses machine learning to apply labels to images.

Deploy ImageLabeller with Github

Follow along with this step-by-step video series as Warren Marusiak, a senior technical evangelist, demonstrates pushing a code change to production using Bitbucket Pipelines CI/CD. To demonstrate how to develop, deploy, and manage applications using Jira Software and various connected tools, our team created ImageLabeller, a simple demo application built on AWS that uses machine learning to apply labels to images.