Operations | Monitoring | ITSM | DevOps | Cloud

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BizTalk to Azure Integration Services: A Migration Story and Best Practices

Steef Jan shares his experience with migrating on-premise systems to the cloud, specifically with Azure Integration Services. He talks about his journey of modernizing a retailer's integration platform, which involved migrating 50-60 interfaces from an on-premise solution to Azure. This episode also discusses the challenges of migrating large BizTalk installations to the cloud and the importance of having a roadmap for on-premise footprints. He shares his final thoughts on the importance of evolving and keeping track of changes in the cloud platform.

Enhancing Postmortem Reports with AI

Postmortem reports are essential in incident management, helping teams learn from past mistakes and prevent future issues. Traditionally, creating these reports was a slow, tedious process, requiring teams to gather data from multiple sources and piece together what happened. But with AI and Large Language Models (LLMs), this process can become faster, smarter, and much less of a headache.

Combining Data Visualization and Advanced Analytics for Stronger Data Insights

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.

The human element of implementing AIOps

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.

5 Tips for Using Azure DevOps and Jira Together

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.

The AI Advantage: How AI is Reshaping Software Development

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.

Dataflow for Real-time Log Replication and Analytics

Streamline your log replication and analysis with Dataflow! Learn to build real-time pipelines that capture, process, and analyze logs from any source. See examples like detecting IoT sensor anomalies, responding to e-commerce traffic spikes, or mitigating security threats. Watch and discover how Dataflow integrates with different logging tools to empower you with real-time insights and build a truly scalable and resilient log analysis solution.