Operations | Monitoring | ITSM | DevOps | Cloud

Learn from InfluxDB experts - InfluxDB Cloud's new storage engine was built using the Apache Arrow ecosystem.

With the rise of generative AI, enterprises are growing their AI budgets, looking for options to quickly set up the infrastructure and run the entire machine learning cycle. Cloud providers like AWS are often preferred to kick-start AI/ML projects as they offer the computing power to experiment without long-term commitments. Starting on the cloud takes away the burden of computing power, reducing start-up time and cost and allowing teams to iterate more quickly.

Discover the inspiring success story of Globo, where technology meets compassion for a greater purpose. Globo understands the challenges healthcare providers face when working with non-English-speaking patients. That's why they're committed to delivering resilience, reliability, and sustainability in their services, around the clock. Thanks to the partnership with Aiven and AWS, they can provide a dependable 24/7 service to both their patients and providers.

Recording from the first Open Source Data Infrastructure meetup in Berlin, hosted by Wolt and Aiven on May 24, 2023. The video features talks by Hellmar Becker from Imply and Anil Sahin, Stephen Batifol, and Kasimir Aula from Wolt. CHAPTERS ABOUT AIVEN Aiven’s cloud data platform helps your business reach its highest potential by making your data work for you. It provides fully managed open source data infrastructure on all major clouds, helping developers focus on what they do best: innovate and create without worrying about the limitations of technology.

If treated well, the database can be a major accelerator in your business’s efficiency. It can be the star performer in your migration to the cloud, in your move to micro services and other change initiatives. If the right factors aren’t in place, though, the database can become a business risk. You could be at risk of losing new and existing customers to the competition due to poor UX, downtime or outages. It can also increase your vulnerability to data breaches. Find out how the database can be the hero in your digital transformation or change initiative.

With digitization adopted in many industries, real-time data from manufacturing and operational equipment can be used to monitor and optimize operation - by applying data-driven modeling including machine learning. In this video you learn how you can automatically monitor equipment and connected devices, and apply predictive modeling to optimize operations (OT). With this approach, manufacturers and grid operators reduce downtime and save maintenance cost by scheduling equipment maintenance just when needed, connected consumer and wearable medical devices are monitored remotely, and transportation providers optimize operation of their fleets.

Protecting your business-critical data has never been more important in today’s world. With ransomware attacks steadily on the rise, understanding and implementing backup and recovery best practices is essential to staying ahead of the curve. Join us as we dive into key best practices and strategies designed to protect your data initially, and help you recover what’s important in case a disaster strikes, like a ransomware attack.

What was the ANCIENT SECRET hidden within one company’s IT estate? In this Tech Confession, hear how an entire payroll system was at the mercy of one admin’s “voodoo” techniques to provide payment via seriously antiquated hardware and software. What were the risks? Keeping the system cranking was a ticklish proposition: Accidentally running an OS update once put the productivity of the whole organization at risk. That was just one of the hazards of running a key process on a hidden device that was invisible to the network.

Developer experience and productivity are top-of-mind this year as organizations sharpen a focus on engineering efficiency. In a bid to become the central hub for developer interactions, internal developer portals (IDPs) have landed on the short list of priorities for engineering teams in every industry. But with just a few years on the shelf, many IDP programs are beginning to fail or flail. Why?

Log management and analytics are typically used to troubleshoot and resolve system issues. But since log data is collected from so many tools and systems across the organization, this means that log analytics can span across the business for multiple uses and multiple teams.