Operations | Monitoring | ITSM | DevOps | Cloud

AI Ops is about enabling developers, program managers, service engineers, website reliability engineers etc. to efficiently build as well as run online services or applications at scale with AI & ML techniques. AI Ops is expected to help improve service quality. customer satisfaction, enhance technology productivity, and reduce cost. With hype all around the world regarding artificial intelligence, IT leaders are sceptical whether it will actually be useful to them or will it add to their costs.

Let’s start with a simple picture and a question. You are involved in the day-to-day running of a complex and hybrid cloud of IT systems and applications. These systems, technologies, applications, processes and other platforms perform a number of critical business functions.

So your organization has decided to move to the cloud. Smart move! Many companies today are either making the move to the cloud or have already made it. According to RightScale’s 2019 State of the Cloud Survey, 94% of IT professionals say their companies use the cloud. Over 90% is public cloud. Gartner predicts that public cloud revenue will increase by 17% in 2020. The biggest percentage increase is expected with IaaS. So, you’re clearly not alone.

So you’re using InfluxDB and Telegraf. Perhaps you’re writing over a million metrics points per second. Perhaps you’ve used Flux to do some data exploration. However, you now find yourself in a little bit of a pickle. You need to process and analyze this large amount of data, and you’d prefer to do that work in your favorite language with your go-to libraries.

Automation is a powerful tool that can make processes more efficient and less expensive. You may think that automation tools are only accessible by large companies with significant resources. There are some cases when outsourcing complex tasks to professional consultants is the best options, such as website migration by cms2cms.com. However, other tasks can easily and effectively be achieved in-house with the help of automated tools.

It’s been another brutal week. The coronavirus a.k.a. “Rona” as my teenage daughter and her friends call it, is just making things miserable for everyone. There have been significant impacts on the tech sector, along with oil and gas, finance, travel, hospitality, and many other industries. But there’s always a silver lining when disaster strikes. So let’s start on a positive note: many of us in information worker roles can work from home.

Are you on DEV? Did you know that it's open-source, and that it uses Honeybadger? We just launched a new feature to help communities like DEV fix more errors together! Software development is more fun with friends; that's why we've built tons of collaboration features into Honeybadger over the years, making it easier for teams to fix errors. Recently the team at DEV emailed us with a feature request: could we make it easier to involve the broader DEV open source community in the error-fixing process?

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we explore the concept of alternative data.

As more and more businesses move their servers to the cloud, it makes it more difficult to monitor the status of networks and other such events typically tracked and monitored in traditional in-house server environments. In recent years, companies have turned to a wide array of hybrid multi-cloud monitoring tools.

I often smirk when I hear or read about other companies pitching a digital experience management platform for IT support. To outsiders this claim may sound innocuous but after 30 years in IT I know most cannot even come close to understanding, let alone managing, the full Digital Employee Experience (DEX). Why? It’s best to define some terms before I draw any lines in the sand.