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A Quick Guide to Get You Started with Spark on Kubernetes (K8s)

Apache Spark versus Kubernetes? Or both? The past few years have seen a dramatic increase in companies deploying Spark on Kubernetes (K8s). This isn’t surprising, considering the benefits that K8s brings to the table. Adopting Kubernetes can help improve resource utilization and reduce cloud expenses, a key initiative in many organizations given today’s economic climate.

Unleashing Real-Time Insights: Pairing InfluxDB with Data Lakes and Data Warehouses

Imagine a bustling city with millions of people going about their daily lives. Now, picture a network of interconnected roads, each representing a data point, capturing the pulse of the city in real-time. This is the essence of data lakes and data warehouses, where vast amounts of information flow in and out, shaping the decisions that drive businesses forward. However, to harness the power of these architectures, real-time analytics is essential.

Make Moves Without Making Your Data Move

How much of the data you collect is actually getting analyzed? Most organizations are focused on trying not to drown in the seas of data generated daily. A small subset gets analyzed, but the rest usually gets dumped into a bucket or blob storage. “Oh, we’ll get back to it,” thinks every well-intentioned analyst as they watch data streams get sent away, never to be seen again.

What MSPs Need to Know About Our Partner Program

MSPs using CloudHealth are in for an abrupt start to 2024. VMware, which acquired CloudHealth, is ending its partner programs. Instead, they’re rolling out the exclusive Partner Program, starting from February 5, 2024. The switch will impact solution providers, resellers, and cloud services partners. With this new selective partner program, MSPs face fresh challenges in meeting the latest standards.

Anodot vs. Cloud Ctrl Cost: Which is better for Cloud FinOps capabilities?

Our solution (Anodot) and Cloud Ctrl Cost are two popular choices for a FinOps solution. With the increasing number of businesses moving to the cloud, having a third-party cost management solution like FinOps can handle all the challenges and maximize productivity in the cloud. So, which platform offers a complete FinOps solution? Let’s dig deeper and analyze who provides the best solutions, technology, and support to make the most of your FinOps culture.

Security Has a Big Data Problem, and an Even Bigger People Problem

Got cybersecurity problems? Well, the good news is the same as the bad news — you’re not alone. The world of security has a big data problem and an even bigger people problem. Enterprise connectivity has drastically increased in the last decade, meaning every employee, contractor, and vendor has some level of access to corporate networks. To support this growth, companies monitor exponentially increasing infrastructure and traffic, producing a steadily rising volume of data.

InfluxData Achieves AWS Data and Competency Status

InfluxDB, the leading time series database, and AWS, the leading web services vendor, have a long-standing partnership. InfluxDB has been available as a SaaS product on AWS for many years. And as InfluxDB has grown and matured, most notably with the release of InfluxDB 3.0 this year, so has our partnership with AWS. That’s why we’re excited to announce that InfluxData achieved AWS Data and Analytics Competency status in the Data Analytics Platforms and NoSQL/New SQL categories.

Data Architecture for Business Data & AI Projects

Like physical architecture, the architecture running your business data — any and compute-intensive AI projects — is important. This data architecture governs a very important part of your business: how well users can translate raw information into real knowledge and actionable insights. Today, your data architecture is getting perhaps more attention than ever before. And that’s all thanks to usable AIs that now exist.

How AI can change the game in the database and streaming system optimization field

The net result of an AI-powered optimization process is not only a better data experience, but also increased developer productivity. Once the teams are aware of what can be automated, the improvements can not only speed things up but reduce costs.