Systems | Development | Analytics | API | Testing

Last week, ChaosSearch CTO & Head Scientist Thomas Hazel joined forces with Doug Henschen, VP & Principal Analyst of Constellation Research, to deliver a live webinar on “Choosing an Analytical Cloud Data Platform: Trends, Strategies, and Tech Considerations.” In this blog, we’re highlighting the deepest insights, the best advice, and the most actionable recommendations that emerged from the discussion.

ChaosSearch addresses critical pain points and overcomes core operational challenges for FinTech companies, allowing them to accelerate application development and streamline their operations in the cloud. The ChaosSearch data lake platform delivers search and relational analytics at scale directly in Amazon S3, with no data movement, no ETL process, and zero administrative overhead.

This is the second part of the Google Chrome Developer tools article. In this post we will share show you more of the new Developers Tools that Google has added to Chrome. Remember that Google Chrome Dev Tools is a set of powerful tools that help developers to build better webs. If you haven’t done it yet, you can read the first article of the series.

In this post we will share show you how you can use some of the new Developers Tools that have been added recently to Google Chrome. Google Chrome Dev Tools is a set of powerful tools that help developers to build better webs.

When CTO James Dixon coined the term “data lake” in 2011, he imagined a single storage repository where organizations could store both structured and unstructured data in their raw format until it was needed for analytics. But without the right storage technology, data governance, or analytical tools, the first data lakes quickly became “data swamps” - morasses of data with no organizational structure and no efficient way to access or extract meaningful insights.

Speedscale is proud to announce its Centralized Log Collection capability. When diagnosing the source of problems in your API, more information is better. For most engineers, the diagnosis process usually starts with the application logs. Unfortunately, logs are usually either discarded or stored in Observability systems that engineers don’t have direct access to. Compounding this issue is that the log information is typically not correlated to what calls were made against the API.