Systems | Development | Analytics | API | Testing

Summer Release: Slow SQL Query Log, Callgraph Profiler, Memory Tracepoints

This Summer Release of Tideways builds on the previous Beta Announcements in May's Spring Release and marks the general availability of This new functionality is fully available by updating the Tideways PHP Extension to version 5.2.4 and the Daemon to version 1.6.18. In addition to rolling out new features, we also renamed the concept of "Application" in Tideways to "Project" and we provide a detailed explanation why at the end of this post.

Better BigQuery pricing flexibility with 100 slots

BigQuery is used by organizations of all sizes, and to meet the diverse needs of our users, BigQuery offers highly flexible pricing options. For enterprise customers, BigQuery’s flat-rate billing model is predictable and gives businesses direct control over cost and performance. We’re now making the flat-rate billing model even more accessible by lowering the minimum size to 100 slots, so you can get started faster and quicker.

7 Tips to Write Great API Documentation

Developers build REST APIs so people can use their applications, and they write great API documentation so people can use their APIs. But for some reason, writing API documentation that is both pleasurable to read and easy to work with is a skill that many developers lack, so let’s get this clear: Your API is only as great as your API documentation. Below, we explore seven tips for writing great API documentation.

Cloudera Data Warehouse on Azure Provides Fast, Cost-Effective and Highly Scalable Analytics

The Cloudera Data Warehouse (CDW) service is a managed data warehouse that runs Cloudera’s powerful engines on a containerized architecture. It is part of the new Cloudera Data Platform, or CDP, which went live on Microsoft Azure earlier this year. The CDW service lets you meet SLAs, onboard new use cases with zero friction, and minimize cost. Today, we are pleased to announce the general availability of CDW on Microsoft Azure.

5 Obstacles to Successful Data Governance

Organizational leaders worldwide agree that data governance is important. However, data governance programs in most companies are still being planned or in progress. In a 2020 Dataversity report¹, only 12 percent of companies had fully implemented programs, while 38 percent of programs were a work in progress, and 31 percent were just getting started. That’s because companies often run into roadblocks while executing data governance. Below are five common obstacles organizations face.

Everwell Health Reduces Testing Time by More Than 50% with Sauce Labs

Everwell Health Solutions invents, designs and develops an open source platform called the Everwell Hub that allows healthcare organizations across the world to ensure that everyone has access to high-quality care, especially when it comes to managing health regimens for tuberculosis, HIV/AIDS, and mental health. Everwell supports the Government of India’s Nikshay platform covering care for TB-affected people in India, with more than 2.4 million cases added to the platform annually.

What's Your Streaming-Data Strategy?

Are you ready to harvest the massive real-time data that your organization generates? You need to master streaming data to  gain an edge in business, in every industry. But, most businesses still rely on batch and incremental processing. If that’s you, don’t despair. Join this session to understand key concepts, common technologies and best practices you need to succeed with streaming  data. You will  also learn about the Hitachi Vantara streaming data stack and how we can help you meet your goals.

Deliver Analytics-Ready Data to the Cloud With Snowflake and Hitachi Vantara

One of the toughest challenges for data professionals today is migrating data from on-premises environments to the cloud. Many companies still lack the tools and infrastructure to ingest and process complex datasets to achieve critical business outcomes. Tune in for a joint-session with Snowflake and Hitachi Vantara as we discuss best practices to address common edge-to-multicloud issues and how our joint offering can dramatically simplify data preparation, migration and analytics tasks to help deliver analytics-ready data in the cloud.

API Load Testing Mistake #2: Not Calibrating Virtual Users to Real Users - @SmartBear Talks

A huge part of your strategic plan for load tests built into your app development business processes is understanding and ensuring that the user profiles or the actions that your simulated users take in any testing environment accurately depict what happens in a real-world use case. That's why you need to be very careful with setting up virtual users in your load tests. We will investigate possible issues with Damion White, software testing consultant from WiseClouds, in this video.