Operations | Monitoring | ITSM | DevOps | Cloud

Databases are fundamental to almost all applications, facilitating everything from financial dealings to social media engagements. Nonetheless, efficient database performance monitoring frequently resembles maneuvering through a labyrinth, with concealed traps that may result in diminished performance or expensive downtime. In this article, we will examine frequent mistakes in database monitoring and offer helpful advice to avoid them.

Kubernetes is at the heart of modern cloud-native applications, but achieving effective observability is no easy feat. Managing workloads, ensuring performance efficiency, and keeping costs under control demand the right strategies and tools. If you’re grappling with Kubernetes complexity, struggling with monitoring blind spots, or seeking to optimize your deployments, we have the perfect event for you.

Technical debt accumulates when short-term solutions lead to long-term software inefficiencies, increasing maintenance costs, slowing development, and degrading performance. To effectively manage technical debt, teams need full-stack observability, from a high-level application view down to code execution and thread-level analysis. Tackling technical debt ensures long-term software sustainability.

PostgreSQL is a powerful and widely used relational database, but like any system, it can suffer from performance bottlenecks. Without proper management, slow queries, inefficient indexing, and resource contention can lead to sluggish performance. In this blog, we will explore the top 10 PostgreSQL performance issues and how to fix them.

ManageEngine Applications Manager has been positioned in the Customer’s Choice quadrant in the 2024 Gartner Peer Insights Voice of the Customer for Observability Platforms.

Kubernetes has revolutionized containerized application deployment, but effective monitoring remains a crucial challenge. Unlike traditional infrastructures, Kubernetes environments are dynamic, distributed, and short-lived, making real-time visibility essential for performance, security, and cost optimization. Without proper monitoring, teams risk application downtime, resource wastage, and security vulnerabilities.

Top tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. This week, we’ll look at five areas where 6G technology will spawn rapid digital transformation. We’re a lucky generation—at least in the sense that we’re living on the precipice of entering the futuristic world we’ve seen in movies and TV shows.

Kubernetes has revolutionized how organizations deploy, scale, and manage containerized applications, offering unprecedented efficiency and flexibility. However, the very characteristics that make Kubernetes so powerful—its dynamic, distributed, and ephemeral nature—also create significant challenges for monitoring. Without robust monitoring capabilities, organizations struggle to identify and resolve performance bottlenecks, optimize resource utilization, and maintain security.

Microsoft SQL Server is a critical database component of many business applications, ensuring data integrity, fast query performance, and seamless transactions. However, maintaining peak performance requires proactive monitoring of essential metrics. In this blog, we’ll explore the key SQL Server performance metrics you should track and how they help prevent performance issues, optimize resource usage, and enhance database efficiency.

Agile production has become the norm for software development cycles. The backbone for such a fast-paced landscape is the continuous integration and continuous delivery (CI/CD) pipeline. But merely depending on the CI/CD pipeline isn’t enough, even though the automated workflows give you a competitive edge. The pipeline needs to be optimized to function at its best. This is where monitoring your applications within the pipeline can be a game-changer.