Operations | Monitoring | ITSM | DevOps | Cloud

There is value in the machine data (logs and events) from your infrastructure and applications. However, storing and analyzing that data to extract that value can be a big (and expensive) undertaking for organizations. With log analytics, companies like yours can better understand your log data and take action to improve reliability and increase security. Log files are produced by applications, operating systems, networks and other components of a technology stack.

Deploy your environments in a repeatable, secure way with Aiven and Qovery!

Elastic Enterprise Search 8.7 is packed with features designed to improve content ingestion and search experiences. With this release, the MySQL connector adds advanced filtering capabilities, allowing you to filter and ingest large volumes of data from MySQL databases more efficiently.

I know you’re here to talk money, and I’ll get to pricing in just a moment, I promise! Let’s first look at how we ended up in a situation where log analytics is increasingly important to help set the stage for why transparent pricing is so vital in this arena.

Log management is the processes and tools that your DevSecOps team use to collect, store and manage log data. As they constantly assess your applications and systems for performance, log analytics comes into play to improve the efficiency and effectiveness of an organization, identify and troubleshoot problems, and monitor the health and performance of system. Looking for a proactive approach to find issues, bugs and threats? Interested in surfacing your business and user adoption insights?

As Charles highlights in his Financial Services Predictions blog, operational resilience is critical. The regulatory drive for defining, measuring and improving operational resilience is clear within Europe, outlined by EU DORA and UK FCA / PRA guidelines. The organisations who embrace this change can capitalise on real opportunities in the coming years; specifically, the opportunity to use data-driven insights to improve customer experience and proactively resolve issues before customer impact.

InfluxDB Cloud, powered by IOx, is a versatile time series database built on top of the Apache ecosystem. You can query InfluxDB Cloud with the Apache Arrow Flight SQL interface, which provides SQL support for working with time series data. In this tutorial, we will walk through the process of querying InfluxDB Cloud with Flight SQL, using Pandas and Jupyter Notebooks to explore and analyze the resulting data, and creating interactive plots and visualizations.

Manufacturing and industrial organizations are firmly in the era of Industry 4.0. The third wave of industrial revolution, which saw the introduction of computers, robots, and automation in industrial processes, has given way to instrumentation, and the use of advanced technologies, like machine learning (ML) and artificial intelligence (AI), using both raw and trained data, to enhance industrial processes.