Operations | Monitoring | ITSM | DevOps | Cloud

The pandemic hit manufacturing hard, with the workforce, supply chains, and investment all taking heavy blows. The bounce-back has also been punishing on the sector, with severe global competition for materials, disrupted logistics, and workforce shortages, all exacerbated by the human and economic disaster of Ukraine.

Why do some organizations excel in streamlining their database operations and applications development while others find it immensely challenging? Why can some database teams embrace agility while others take months of cycles to deploy even a single line of code? What secret sauce can allow some database teams to work smarter (not harder), streamline database development lifecycles better, get to deployment faster, and create an overall stronger alignment across departments?

 Change management methodologies are often seen as complex and clunky, which can lead to these initiatives having a high failure rate in many organizations—but why does change management have this stigma? At one point in my career, I was a regular at change advisory board (CAB) meetings and maintained our organization’s standard change catalog.

Our inaugural SolarWinds Day event was a smashing success! From the announcement of our SolarWinds® Observability solution—which was built fully in the cloud—to important updates to our on-premises SolarWinds® Hybrid Cloud Observability solution, this was our biggest day of product launches since the founding of SolarWinds. It was exciting to be a part of the event and to see so many people participate and engage in the discussion.

Modern software applications involve multiple layers of code and services, working together to meet increasingly demanding user requirements. To achieve this, systems became distributed, providing improved scalability, fault tolerance, and complexity. However, this innovation brought new challenges to basic troubleshooting and performance monitoring to maintain the health of systems. It’s for these reasons that observability is trending.

Containers have been the buzz among developers in recent years with the adoption of cloud-native orchestration tools like Kubernetes and DevOps workflows centered around containers. At the same time, virtual machines (VMs) still power many enterprise workloads, whether they’re running in a public cloud provider like Azure or an on-premises data center running VMware. In one of my early jobs, we built a private cloud—in 2012. This was a ground-breaking project at the time.

Over the last few years, containers have been one of the hottest topics when it comes to radically changing the way we develop, operate, and maintain our applications. And it’s no coincidence the rise of containers has occurred right alongside the rise of the cloud and the DevOps movement. This shift in development and operations has brought new challenges as container technologies have evolved.

The pandemic has brought a great number of changes with it for businesses, from remote work to increased cyber threats. The IT concerns we had pre-pandemic are simply not the same now, especially when it comes to cybersecurity. With October being Cybersecurity Awareness month, I wanted to reflect on these changes and what we as a community have learned over the past couple of years.

MySQL is the most used database in the world. And as it continues to grow in popularity as an open-source database system for developers, understanding how these indexes work is an important step for database developers and administrators. This tutorial is going to explore clustered indexes and secondary indexes in MySQL. MySQL also has other types of indexes besides the B-tree indexes I’ll be discussing, such as fulltext indexes and hash indexes.