Operations | Monitoring | ITSM | DevOps | Cloud

Running a risk-based vulnerability management program is essential to maintaining a secure business computing environment. In a previous blog, “How Implementing Risk-Based Patch Management Prioritizes Active Exploits,” I provided perspective on how to prioritize vulnerabilities. Honing the operational aspect of securing your systems is essential to that process. Conducting patch operations in your organization can be a complicated process.

The past few years have been dominated by digital transformation characterized by a move away from legacy on-premises systems to the cloud. However, there are also instances when bringing certain assets back from the cloud – a process known as “cloud repatriation” – can be a strategic and cost-effective move. Questions persist about when cloud repatriation makes sense and how organizations should craft their strategy.

Many organizations face increased costs from excess noise, manual workflows, and long outage times. These inefficiencies negatively impact budget, service uptime, and, ultimately, customer satisfaction. With effective use of AI, you can give operators the most relevant, full-context incident data, providing a greater understanding of an incident within seconds.

Software is not perfect. And ultimately, it’s not a matter of if you will have an outage, but of when. With the increasing complexity and frequency of IT incidents, is your organization prepared to respond and recover when each second counts? Here at PagerDuty, we’ve compiled a list of best practices to keep your systems up and running.

DevOps is now the norm for virtually every IT team in every sector. By integrating and automating software development processes, it removes laborious, manual tasks and enables teams to deliver value to end users faster and more efficiently.

Developers are expensive to hire, and it takes time to get new hires up to speed. Getting the most out of developers and retaining them should be a priority for any organization. Fortunately, developers like creating new stuff, and organizations want new functionality. Therefore, if there was a way of minimizing the time spent fixing bugs, the new feature backlog would be reduced, and happy developers would stay around.

We’re excited to share some big updates and enhancements that underscore our dedication to innovation and efficiency. Check out our new Carbon Footprint Reporting add-on feature, a sleek dark mode GUI theme, and major improvements to Business Entity tracking and Dashboard Widgets. Plus, we’ve added new custom components for better peripheral logging and expanded firmware update support for Panduit Gen6 rack PDU products.

In the rapidly evolving digital landscape, organizations are increasingly turning to the cloud powered with AI capabilities to enhance efficiency, scalability and innovation. Splunk, a leader in security and data observability, has been at the forefront of this transformation.

Over the past few months, we introduced several new features and capabilities. While we released larger product updates like Trace Explorer, Insights modules, and our JavaScript V8 SDK (to name a few), it’s the smaller, iterative improvements that really make a big difference in your debugging workflow. Let’s dive into 8 recent updates that you should know about.

Observability provides many business benefits, but comes with costs as well. Once the (not-insignificant) work of picking a platform, taking an inventory of your applications and infrastructure, and getting buyin from leadership (both from the business and engineering sides of the house) is done, you then have to actually instrument your applications to emit data, and build the data pipeline that sends that data to your observability system.