As I navigate further into my career, I’m finding the scope of my role has shifted over the years. I thought I’d take some time to help relay the differences I’ve seen between traditional database administrators (DBAs), database reliability engineers (DBREs), and site reliability engineers (SREs). Before I start, I want to get a disclaimer out of the way: some of the comparisons here reflect only what I’ve seen and may not match what you’ve experienced.

It is often the case with innovation that the return on investment is unpredictable or too long to justify an investment. In a recent study by MHI and Deloitte, "Supply Chain Disruption Fuels Investments in Technology," supply chain industry leaders identify the lack of a clear business case as the number one barrier to adopting innovations. Across all eleven innovative technologies the study examined, the responses were the same.

Today’s employees enter the workplace with a new expectation: they expect to use the technology they want to use. But can IT really manage a workplace where you can bring your own stack? Ten years ago, the concept of employee experience conjured images of well-decorated, comfortable offices, with ping pong tables and beer on tap. It’s a construct of employee engagement that now feels almost painfully out of touch.

All organizations aim to grow their business and reduce their other expenses such as operational costs, equipment maintenance cost, and so on. However, it is not an easy process as organizations have lots of assets. For this process organizations require assistance. This is where EAM comes into play. It is helpful in reducing expenses and helps in optimizing business activities. In this blog, we will know what EAM is and why organizations should invest in EAM solutions. So, let us begin!

Solving network issues is one of the main aspects of a network admin’s job description, and every admin will have a collection of network troubleshooting tools. The simple reason behind this is that they are essential for maintaining a robust network, fixing network issues quickly, making network resources available, and keeping business processes alive.

If your organization is looking to improve its IT service management (ITSM) and/or IT Operations Management (ITOM) capabilities, then it’s probably considering Artificial Intelligence for IT Operations, which is commonly called “AIOps.” But what is AIOps, and how will it help your IT organization’s IT management capabilities and, ultimately, business operations and outcomes? Let’s start with an AIOps definition.

The enterprise data warehouse (EDW) provides access to business data stored in a denormalized structure called a star schema, which makes it easy to analyze, visualize, and forecast essential business metrics. Business intelligence (BI) reporting makes use of the data warehouse for real-time self-service dashboards, custom visualizations, data marts, decision-making reports, and machine learning (ML).

The manufacturing industry is one of the biggest industries in the world as almost all other industries are dependent on the manufacturing industry. It plays a crucial role in countries' growth and each manufacturing unit is equipped with lots of assets and equipment that are valuable to the organization. However, lots of manufacturing units do not keep track of their assets and as a result, their assets are lost, and operation delays occur frequently.

Site Reliability Engineering (SRE) is still going strong in the world of software development. As a bridge between developments and operations, it’s a necessary part of any organization that wants to work like a well-oiled machine. Simply put, SRE tries to fix a widespread problem in organizations: siloing. But not much is known about the job requirements of becoming a site reliability engineer.

Enterprise resource planning (ERP) modernization is a huge undertaking. ERP environments are laden with customization that can increase technical debt and impede maintenance. Organizations need to achieve a clean core while delivering a consumer-grade experience that bridges various systems of record without missing a beat. ERP environments are complex and always evolving. They’re messy and busy. They require many manual processes and span multiple, siloed systems.