Operations | Monitoring | ITSM | DevOps | Cloud

Jul 17, 2024: Today Canonical announced the release of Charmed PostgreSQL, an enterprise solution that helps you secure and automate the deployment, maintenance and upgrades of your PostgreSQL databases across private and public clouds. PostgreSQL is an open source database management system. It has been successfully used for more than 3 decades across all IT sectors. Its maturity and its vibrant community consistently make it a first-choice DBMS among developers.

DevOps is crucial for growing organizations, enhancing collaboration between development and operations teams to expedite deployment cycles and improve overall efficiency. Selecting the right DevOps engineer for your team, especially when new to DevOps, is vital. A poor hiring decision can significantly impact your organization, resulting in higher costs, inefficiencies, and missed opportunities.

Successful DevOps implementation is critical for enhancing the efficiency, reliability, and quality of software development and delivery. To evaluate the effectiveness of DevOps practices, various metrics can be used. Below is a detailed overview of key metrics.

Applications Manager now supports Azure security services, container services, integration services, storage sync services, app service plans, and more.

dotConnect for Oracle from Devart, a high-performance.NET connector that provides direct access to the Oracle Database without the need for an Oracle Client, has won Silver at the 19th Annual 2024 Globee Awards for Technology in the Oracle Cloud Application Services category. This prestigious business award praises companies that excel at hard work and transform tech domains, empowering businesses worldwide.

We believe in expanding our arsenal to accommodate your evolving needs. That’s why we are thrilled to announce that Applications Manager now provides wider performance monitoring support for Azure! The latest version of ManageEngine Applications Manager extends its monitoring support to 11 additional Azure services, empowering you to gain deeper insights into the health and performance of your entire cloud environment. Let’s take a look at the newly supported services.

When working with ML models, it’s fair to say that a model is only as good as the data it was trained on. Training and testing models on quality datasets of an appropriate size is essential for model performance. Because of the intricate link between a model and the data it was trained on, it’s also important to be able to store datasets and versioned models together.

There’s no shortage of new developer tools promising to reduce toil and improve productivity. But investing in the latest technology can require a leap of faith organizations can no longer afford to make. Leaders need assurance that the investment they’re making will pay off, quickly.