Systems | Development | Analytics | API | Testing

Cloudera Observability - Expedited Issue Resolution

We have bundled the collective Cloudera support teams, implementation skill and experience into our Observability platform resulting in our framework called validations. This framework offers a clear and detailed view of potential issues within your Cloudera Environment enabling you to fix it internally. Based on years of Cloudera support experience, we identified over 400 and growing issues our customers have encountered frequently, and provide remedies. This framework also provides detailed information to provide to our support team should this issue require a more complex solution.

UI-driven GitOps: Opening up Kafka without giving up governance

As Kafka evolves in your business, adopting best practices becomes a must. The GitOps methodology makes sure deployments match intended outcomes, anchored by a single source of truth. When integrating Apache Kafka with GitOps, many will think of Strimzi. Strimzi uses the Operator pattern for synchronization. This approach, whilst effective, primarily caters to Kubernetes-based Kafka resources (e.g. Topics). But this isn’t ideal.

A New Approach to Data Protection and Cyber Resilience

The relentless push for business and digital transformation has put data at the forefront of organizational success. However, the ever-increasing volume and complexity of safeguarding data pose significant challenges. Building an unbreakable data infrastructure is a complex challenge. How do you know what’s good enough when building data infrastructure? This video explores a new approach to data protection and cyber resiliency in securing your most valuable asset.

Resolving Database Conflicts with Centralized APIs in Microservices

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

Challenges and Opportunities for Data-Driven Businesses

Technology has long been synonymous for driving change. For business leaders, change means having to deliver on desired business outcomes. Many look to the cloud as a key enabler of digital transformation and improved customer service, but that comes with challenges and complexity. So, what’s the solution? To truly become a data-driven business, you’ll need access to different clouds for success.

Inside the Modern Data Analytics Stack

Data analytics is nothing new. For decades, businesses have been deploying a "stack" of data analytics tools to collect, transform, evaluate and report on data. However, as data has grown larger in volume, and as the ability to analyze data quickly and accurately has become ever-more important to business success, the data analytics stacks that businesses depend on have evolved significantly. So, if you haven't taken a look at data analytics stacks recently, they're worth revisiting.

What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more

To keep up with everything happening in the world of artificial intelligence, it helps to understand and grasp key terms and concepts behind the technology. In this introduction, we are going to dive into what is generative AI, looking at the technology and models they are built on. We'll discuss how these models are built, trained, and deployed into the world.