Operations | Monitoring | ITSM | DevOps | Cloud

Software applications consist of interconnected systems - each providing a specialized service towards the common goal of meeting a business need. As with any network, an efficient data exchange mechanism is key to its functionality, effectiveness, and responsiveness. In the past, data exchange was performed using polling requests. At regular intervals, a system would make a request to get the latest information or find out if there is an update to deal with.

Help desks became staples of the IT industry in the early 90s, earning their place by being the most efficient way to deal with calls from IT users. Help desks became the go-to means of dealing with IT troubleshooting as well as handling requests for guidance or new software. This trend rolled out alongside the general progression of IT in the workplace. During this time, technology began to integrate and support every aspect of the organization from marketing to customer service to HR.

JFrog has been hard at work behind the scenes restructuring how we share information with the developer community. We wanted to create a one-stop resource for developers who code in a variety of languages, with a focus on DevOps, DevSecOps, and cloud native technologies. So without further ado … let me introduce you to our new JFrog Community site!

PagerDuty’s Operations Cloud helps organizations with critical work across the entire business, from IT teams to customer service to human resources, marketing, sales, and more. With PagerDuty, organizations can prioritize accurately, respond efficiently, and reduce operational overhead. In this blog post, we’ll share examples of how PagerDuty can be used for critical work in all departments, not just IT, using our new Solution Guides for Business.

For the newest instalment in our series of interviews asking leading technology specialists about their achievements in their field, we’ve welcomed Kathleen Moriarty, Chief Technology Officer at the Center for Internet Security. During her tenure in the Dell EMC Office of the CTO, Kathleen had the honour of being appointed and serving two terms as the Internet Engineering Task Force (IETF) Security Area Director and as a member of the Internet Engineering Steering Group from March 2014-2018.

In this tutorial, you will learn how to create a custom data visualization with ReactJS using the Recharts charting library to display time series data stored with InfluxDB. To do this you will store some real-time data being recorded by some IoT sensors which record the temperature, humidity, and carbon monoxide levels of a room.

2021 was a great year for VictoriaMetrics! We delivered a lot of new features, our team doubled in size, and so did the list of public case studies written by VictoriaMetrics users as well as the community contributions to the product. See our 2021 Momentum blog post for details on all our achievements last year. All this wouldn’t be possible without our supportive community, their help, patience and creativity.

The 2021 year is finished, so it’s time to look at changes VictoriaMetrics has gained during the past year. The first release in 2021 was v1.52.0. The last release in 2021 was v1.71.0. More than 20 new releases of VictoriaMetrics were published during the 2021. The full changelog is available at this page. Let’s look at the most interesting changes.

VMware enables businesses of all kinds to set up and employ virtual machines (VMs) and servers. These virtual instances provide an abundance of benefits, such as faster speeds, reduced costs, and reduced downtime. However, they can also be quite difficult to manage. Without proper VMware monitoring software, these virtual instances can suffer severe performance loss.

2022 will be a watershed year for big data, AI and analytics, with more companies expecting tangible business results. But from IT’s vantage point, there is still much work to be done. Here are 10 New Year’s big data resolutions for IT. 1. Establish a data retention policy Many organizations have just kicked the can down the field, avoiding the big data retention discussion altogether.