Operations | Monitoring | ITSM | DevOps | Cloud

What's Happening in the Caching World: Redis, Valkey and DragonFly

In the world of software development, caching is a crucial yet complex component. What happens when one of the most popular caching systems, Redis, changes its license, sending shockwaves through the community? And how does a company pivot to not one but two solutions to ensure high-performance data management? Today's discussion dives deep into one of the most critical and often-overlooked components of the software industry—caching.

Launch Week Keynote: Introducing Product Analytics

Tune in as CEO and co-founder François Baldassari reveals Memfault's newest launch: Product Analytics. With Product Analytics, you can gain an unprecedented understanding of how your devices are used in the field. So you can go beyond building reliable products to building great products your customers love and trust. While there are many existing Product Analytics solutions available, Memfault is the only Product Analytics solution designed to work within the specific constraints of an embedded device.

Monitor your InfluxDB Cloud Dedicated cluster

InfluxDB Cloud Dedicated provides fully-managed InfluxDB v3 clusters that power enterprise-grade workloads on a scalable infrastructure dedicated to your workload and your workload alone. As a fully-managed service, InfluxData takes the infrastructure hassle off your plate by monitoring and scaling your cluster when necessary. Until recently, cluster health-related metrics were only available to internal InfluxData support staff.

Myth #2 of Apache Spark Optimization: Cluster Autoscaling

In this blog series we’ll be examining the Five Myths of Apache Spark Optimization. (Stay tuned for the entire series!) If you’ve missed Myth #1, check it out here. The second myth examines another common assumption of many Spark practitioners: Cluster Autoscaling stops applications from wasting resources.

Troubleshoot and optimize data processing workloads with Data Jobs Monitoring

Data is central to any business: it powers mission-critical applications, informs business decisions, and supports the growing adoption of AI/ML models. As a result, data volumes are only increasing, and teams rely on engines like Apache Spark and managed platforms like Databricks or Amazon EMR to process this data at scale.

Boost Your Monitoring Stack: Add InfluxDB to Prometheus Node

Prometheus is the go-to observability tool for countless developers and organizations, and for good reason. The popular open source tool doesn’t require any up-front costs or result in vendor lock-in. Prometheus’ short on-ramp makes the technology well-suited for organizations looking to jump-start their cloud monitoring journey.

Building smart data platforms with AI to drive business innovation

Imagine a world where databases not only store vast amounts of data but autonomously optimize themselves, predict future trends, and seamlessly integrate with AI. In this Data (R)evolution episode, we share a fascinating conversation with Soumya Bijjal, the VP of Product at Aiven, and John Joseph Kennedy, the Head of Databases at Aiven, about the future of AI, databases, and data platforms. They dissect the current AI landscape, the challenges companies face, and the transformative potential of integrating AI with data systems.