In 2024, simply having an observability practice is a given. In this era of observability, a high-functioning team will set leaders apart from their peers. Leading observability practitioners don’t fix issues by putting hundreds of people into a virtual room, or frantically messaging in a temporary Slack channel to find root causes. Because leaders embed observability into their development practices early, a feature launch is a quiet non-event.

As IT costs continue to balloon, many organizations are caught between the desire to scale and the pressure to cut costs. It’s an incredibly delicate balancing act leaders struggle to maintain: while 66% of companies in one study said they plan to increase their IT budgets, 84% were worried about a recession, while 63% struggled to secure IT talent. By spending on infrastructure, organizations are forced to spend less on innovation. But what if there is a way to have both?

Digital experience monitoring (DEM) is the evolution of application performance monitoring (APM) and end user experience monitoring (EUEM) into a comprehensive tool that analyzes the efficacy of an enterprise’s applications and services. Essentially, DEM combines these functions and goes beyond both — all to ensure consistency across the customer experience.

Chasing false alerts — or worse, having your system go down with no alerts or telemetry to give you a heads-up — is the nightmare we all want to avoid. If you’ve experienced this, you’re not alone. Before joining Splunk, I spent 14 years as an observability practitioner and leader for several Fortune 500 companies and in my 2.5 years with Splunk I have had the opportunity to work with customers of all shapes and sizes.

Has your organization finally developed that game changing generative AI application? Is your CTO, CIO, or CEO banking on it being a success? I bet they are! Now, here’s the big question: Are you prepared to monitor and troubleshoot your new application once users get engaged? Fear not, my boy Derek Mitchell has you covered with two incredible Splunk Lantern articles which goes deep into how Splunk Observability Cloud allows you to instrument GenAI apps to gain critical observability insights.

SRE, DevOps and Platform Engineering are important concepts in today's world of software development. There are dedicated teams to manage these areas, each with a unique primary focus, set of responsibilities, tools and metrics used to gauge their performance requirements. This article explains SRE, DevOps, and Platform Engineering, including similarities and differences, and, most importantly, how these teams help streamline modern software development, delivery, and maintenance processes.

Calling all Splunk Cloud Platform admins! At Splunk, we are constantly working to improve the way we service our customers. We understand that maintenance windows, while necessary, can sometimes be impactful to your operations. That is why we’re excited to announce a significant upgrade to our maintenance experience, designed to provide you with greater control and minimal impact.

Chaos Monkey is an open-source tool. Its primary use is to check system reliability against random instance failures. Chaos Monkey follows the testing concept of chaos engineering, which prepares networked systems for resilience against random and unpredictable chaotic conditions. Let’s take a deeper look.

Just as every organization should have a business plan, every organization should also have an IT strategy that supports that business plan. This article offers an overview of what an IT strategy is, what it does for an organization, and the key components that should go into an IT strategy.

Most engineers will tell you this: Troubleshooting today feels like trying to find your way out of a wild jungle, in the middle of a storm, at night, while a countdown clock is running. In other words, it’s ambiguous, nerve-racking, and plain difficult. But should this be the norm?