Operations | Monitoring | ITSM | DevOps | Cloud

Many Python developers choose MongoDB for its speed, flexibility, and scalability. This NoSQL database adapts to different types of data, letting you build features regardless of data structure complexity. It’s a natural choice for applications that have to store lots of different information, handle constant changes, or manage large volumes of data. From this tutorial, you’ll learn how to connect MongoDB using Python Connector from Devart to create, read, update, and delete data.

We have exciting news for our iOS application users!* You can now access your critical app performance data right from the Control Center of your iPhone! We know how hard it is to keep up with a dynamic IT infrastructure in real time. It gets even harder when you have to fire up your PC every time you want to take a look at the performance of your business-critical applications.

Every business today understands the imperative to operate sustainably. We’re seeing green initiatives in offices, supply chains, and manufacturing processes. But what about the digital realm? The internet, and by extension your website, has a surprisingly significant carbon footprint—powered by energy-hungry data centers around the globe. This presents both a challenge and a remarkable opportunity for businesses relying on their online presence.

Today we break down another exciting edition of Founders and Friends, the podcast we’ve created to hold conversations with visionary leaders shaping the tech industry. Today’s conversation features Paul Stovell, co-founder and CEO of Octopus Deploy, and of course, JD Trask, co-founder and CEO of Raygun. Together, they explore the realities of running software businesses, from the evolving nature of agile practices to scaling software teams efficiently. What’s in this article.

SQL Server integration services is a powerful data integration and workflow platform provided by Microsoft. It can be used to automate data extraction, transformation, and other ETL processes. You can use SSIS to export data from various data sources like flat files, database servers, spreadsheets, etc. Due to these capabilities, SQL Server integration services are widely used in building data warehousing, business intelligence, and database migration tasks.

Database migration involves transferring data, schemas, and other database objects from one database system to another. How can you migrate data from SQL Server to Oracle with minimal disruption and maximum efficiency? In this article, we will explore the key reasons why companies might choose to migrate from SQL Server to Oracle and how to tackle migration challenges. Also, we’ll provide step-by-step guides on how to execute this migration using the following tools.

Grafana is an open source platform for real-time data display and monitoring. One of its functions is the creation of interactive and customizable dashboards that make metric analysis from several sources, such as databases, monitoring systems and cloud platforms. Its flexibility and compatibility with multiple data providers make it an essential tool for observability and decision making in IT environments.

Traditional programming is built around well-defined inputs and deterministic logic. Developers write functions that take structured inputs, apply a predefined set of operations, and return a structured output. This model works well when the input space is predictable, but it struggles with problems where inputs are ambiguous, unstructured, or constantly evolving.

In today’s fast-paced digital landscape, businesses are moving their operations to the cloud more than ever before. This shift brings incredible benefits like scalability, flexibility, and cost-efficiency. While it does introduce various common cloud monitoring challenges, there are effective solutions that organizations can implement to ensure optimal performance, security, and cost control.

AI is now a go-to tool for everything from writing to coding. Modern LLMs are so powerful that, with the right prompt and a few adjustments, they can handle tasks almost effortlessly. At Coroot, we’ve been experimenting with AI for observability. Our goal is to make it useful in the final stage of troubleshooting—when we’ve already identified which service is causing issues, like Postgres, but finding the exact root cause is still tricky due to the many possible scenarios.