Operations | Monitoring | ITSM | DevOps | Cloud

There’s a growing acceptance that artificial intelligence for IT operations (AIOps) is critical to maintain uptime and service levels as infrastructure has become more complex and users more demanding. AI-enhanced tools can filter and manage data from systems efficiently, and discover patterns that can solve issues faster and even prevent them. But as with any new technology there are risks that threaten ROI and adoption.

Moving from Waterfall software development processes to Agile development is easier said than done. The journey is unique to each company. In this live chat, OpsRamp group product manager Michael Fisher shares tales from OpsRamp’s ongoing transition to a CI/CD lifecycle, including goals, challenges, surprises and lessons learned.

The Elasticsearch data platform is ideal for analyzing monitoring and observability data. But if your multi-cloud journey has led you to multiple monitoring and observability tools, you may face challenges getting all that data into Elasticsearch. In this webinar, Sensu Developer Advocate Todd Campbell shows you how to get the most out of your Elasticsearch investment — and achieve deeper visibility — with the Sensu observability pipeline.

JFrog Pipelines empowers software teams to ship updates faster by automating DevOps processes in a continuously streamlined and secure way across all their teams and tools. Encompassing continuous integration (CI), continuous delivery (CD), infrastructure and more, it automates everything from code to production. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions.

What does it mean to “shift left”? How can you scale security effectively as you do? These are growing questions corporations and developers are facing in a distributed, global economy. In this webinar you will learn how the amazing combination of GCP and JFrog allows dynamic workflows and automated quarantine processes, continuous scanning of production artifacts, integration with the broader business, and how you can scale all of these solutions rapidly in your fast-paced environment.

After infecting a target machine, many malicious programs need to communicate with a command & control server ( C & C) that is controlled by the malware author. In order to avoid detection and subvert defensive measures, malware authors employ domain generation algorithms (DGA), which enable the malware to generate hundreds or thousands of new domains, one of which is then registered by the malware author as the location of the C&C server.