Operations | Monitoring | ITSM | DevOps | Cloud

Connecting Python projects to Oracle databases is an essential step for many workflows, but the process can feel unnecessarily tedious. Dependency-heavy setups, complex setup files like tnsnames.ora, and platform compatibility issues can make even straightforward projects frustratingly complex. To keep workflows running well, developers must discover a reliable and effective approach to connect Python to Oracle.

What’s the first thing that comes to your mind when you think of assets? For most people, assets are the most expensive possessions, like a house or other kinds of investments. But, for a business leader like you- they can be assets such as sophisticated infrastructure, machines, equipment, or vehicles. However, owning assets is not a big deal, but effectively carrying out the task of asset tracking can be; as it is crucial for any company to develop an infrastructure with a long lifespan.

Splunk is a powerful tool for data analysis and monitoring, but its high costs and complex implementation can be challenging for many organizations. Here are 13 proven Splunk alternatives that provide robust monitoring capabilities, comprehensive data analysis, and more cost-effective solutions for organizations of all sizes.

ClickHouse is known for its fast performance and ability to handle large amounts of data, making it a popular choice for running analytical queries. However, it can face challenges when dealing with high cardinality data, which refers to columns with a large number of unique values. This can affect query performance and storage efficiency if not managed properly. In this blog, we will explain what high cardinality means in simple terms and share practical ways to handle it in ClickHouse.

Docker has transformed how we deploy, manage, and scale applications. As applications grow in complexity, the need for effective orchestration increases. This is where Docker Swarm comes into play. Docker’s native clustering and orchestration tool simplifies the management of multi-container applications. Together, Docker and Docker Swarm form a powerful combination for building and scaling modern, distributed systems.

It's no secret that building a data-driven culture in a company is hard, but what is it exactly that makes this such a tricky endeavor? Contrary to popular belief, technology isn't the main hurdle. A recent survey reveals that only a quarter of respondents cite technological limitations as the primary obstacle to becoming data-driven.

In part 1 of this series, we introduced the key Cloud Run metrics you should be monitoring to ensure that your serverless containerized applications are reliable and can maintain optimal performance. In part 2, we walked through a couple of Google Cloud’s built-in monitoring tools that you can use to view those key metrics and check on the health, status, and performance of your serverless containers.