A typical enterprise generates a flood of information every day in the form of infrastructure and network data, operational and application data, security data, user access data, and more. With the right visualization capabilities, companies can thoroughly examine the multitudes of data they create daily to glean critical insights. The catch, however, is capturing actionable insights without exhausting the human resources of IT.

When implementing new tech, the challenges don’t end at tool selection, purchase, and initial deployment. You can have the best technology in the world, but it won’t help your organization if no one uses it. Many teams look to AIOps solutions like BigPanda to reduce noise, improve workflows, and resolve incidents faster through AI and automation. Bringing in a new platform is part of the equation. The other part is organizational change management to support platform adoption.

When it comes to managing development projects, many teams use both Azure DevOps and Jira to collaborate across departments. While Jira is often favored by project management teams for issue tracking, Azure DevOps excels with developers for managing code repositories, pipelines, and deployments. Combining these two tools can bring clarity, reduce duplication, and foster better collaboration between both development and non-development teams.

Widespread adoption of Generative AI has infiltrated nearly every business sector. While tools like transcription and content creation are readily accessible to all, AI's transformative potential extends far deeper. Its influence on coding and software development raises profound questions about the future of this industry.

HR organizations safeguard some of a company's most crucial information – from insurance and benefits details to company policies, onboarding and more. An HR knowledge management solution is vital to streamlining those functions. Without the right HR knowledge management solution, dispersing knowledge and answering questions can take up too much of an HR team's time. That pushes more critical tasks down the to-do list.

Application slowdowns or outages interrupt the user experience and web performance. This significantly impacts brand reputation, leading to customer churn and a heavy dent in the competitive edge. This is where Application Performance Monitoring (APM) comes in. APM tracks application performance to ensure a positive user experience. Real User Monitoring (RUM) and Synthetic Monitoring are two approaches to analyzing your app’s performance and the digital experience they provide.

Effective monitoring is crucial for maintaining system health and performance. Prometheus has grown in popularity as a an open-source monitoring solution, gaining traction among developers and operations teams, especially in cloud-native monitoring environments. In fact, Kubernetes – the de facto industry standard for deploying and operating containerized applications – comes bundled with Prometheus.

Toward the end of Q1 2022, survey findings reported that Microsoft’s Azure cloud computing services had, for the first time, eclipsed Amazon Web Services (AWS) in some enterprise categories. According to the respondents, more enterprises preferred Azure because it integrates well with the many Microsoft products they already use. A second reason is that Azure is suitable for running on-premises and at the edge. Some organizations also use Microsoft Azure to avoid vendor lock-in to AWS.

The OpenTelemetry project is changing how organizations approach observability. It aims to standardize monitoring across different systems. OpenTelemetry—commonly referred to as OTel—provides APIs, SDKs, exporters, and collectors. It is making data collection, analysis, and utilization more efficient, leading to better decision-making and technology adoption.