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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.

3 Best Practices to Refine API Testing | Postman Alternatives in 2020

API testing remained an essential part of test automation and CI/CD process for QA teams to stay committed to short release cycles and frequent changes. API testing eliminates the need for maintaining scripts following the changes in the application under test’s UI. Read more API testing 101 Postman is a tool for API development, testing, and managing APIs for QA professionals. Postman was first developed as a side project for simplifying API workflow and testing projects.

The Future of Business Monitoring is Here & it's Autonomous

As the business world continues to integrate AI and machine learning to better manage big data processes, one area that arguably has benefitted the most is business monitoring. From IT management to business intelligence, the last few years have seen a drastic shift in how companies are monitoring their data.

How to Create SQL Percentile Aggregates and Rollups With Postgresql and t-digest

When it comes to data, let’s start with the obvious. Averages suck. As developers, we all know that percentiles are much more useful. Metrics like P90, P95, P99 give us a much better indication of how our software is performing. The challenge, historically, is how to track the underlying data and calculate the percentiles. Today I will show you how amazingly easy it is to aggregate and create SQL based percentile rollups with Postgresql and t-digest histograms!