Systems | Development | Analytics | API | Testing

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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.

Understanding and Overcoming Test Data Management Challenges

Test data is a critical component of software testing, referring to the input values, files, or other resources used to exercise a software application or system during testing. In other words, test data is the fuel that powers software testing, enabling teams to validate the functionality, performance, and security of a software product.

Interview With Google Software Engineer Michael Muinos

In this edition of our series dedicated to spotlighting the movers and shakers in the tech world, we're thrilled to welcome Michael Muinos, an experienced Software Engineer currently residing at Google who is also the founder of Algos With Michael. Through this conversation, we aim to dive deep into the experiences that have defined Michael's career, alongside exploring the challenges and triumphs encountered, we will also share advice for aspiring software engineering professionals in this piece.

Balancing Speed, Quality, and Maintainability in Test Suite Management

A test suite is a collection of test cases, test scripts, and test data that are used to validate a specific aspect of a software application or system. It serves as a critical component of the software testing process, ensuring that the application meets the required quality, functionality, and performance standards. A well-structured test suite plays a vital role in identifying defects, bugs, and inconsistencies, enabling developers to make necessary improvements and enhancements.

BigQuery vector search and embedding generation

Discover the power of semantic search! With BigQuery's vector search capabilities, you can analyze unstructured data like text, images, and videos based on their underlying meaning. Explore how machine learning transforms your data into numerical representations called embeddings, making it possible to find connections that traditional keyword searches often miss.

Snowflake: Accelerate innovation and productivity with data observability and FinOps

Right now, 55% of companies surveyed are failing to achieve time to value with their data and AI investments. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel is hosting a live event to share a new IDC Analyst Brief about the role of data observability and optimization to enable AI-driven innovation and share how you can leverage Unravel to achieve productivity, performance, and cost efficiency for Snowflake.

Kong Mesh 2.7: Leveling Up Usability and Security

Kong Mesh 2.7 is here! And with it come a slew of new features to make our simple and powerful enterprise service mesh even easier to use and more powerful for your particular needs. In this blog post, we'll cover the new features and show how Kong Mesh 2.7 can deliver a superior service mesh experience for your organization.