Operations | Monitoring | ITSM | DevOps | Cloud

Imagine your business is running smoothly, but behind the scenes, your databases are struggling to keep up. Queries are lagging, resources are stretched thin, and user satisfaction is beginning to decline. Does this sound familiar? This is where database performance tuning comes in to save the day. In this final portion of our two-part blog series on database performance tuning, we'll explore the helpful techniques of database performance tuning with real-life use cases and practical solutions.

In today’s data-driven world, organizations need to harness the power of real-time monitoring and analysis. Amazon CloudWatch native monitoring service provides a robust platform for tracking metrics, logs, and events from various Amazon Web Services (AWS) resources. However, when you need to extend your monitoring and analytics beyond CloudWatch, integrating CloudWatch with Elastic can be a game-changer.

C# has always been one of the most popular programming languages among developers. It continuously evolves to meet timed features and trends. Its robustness and flexibility make it an all-purpose language and ideal for domains like desktop applications, enterprise systems, web development, games, and cross-platform and native mobile applications. With the launch of.NET 9, Microsoft introduced C# 13, equipped with new features to improve developer productivity and code quality.

Mobile Device Inventory Management (MDIM) is the solution to a common IT headache: spending hours every week hunting down lost or outdated mobile devices. Sound familiar? You’re not alone. However, by implementing MDIM, organizations can tackle these type of challenges head-on and transform the way they manage their mobile assets. The truth is that managing mobile devices effectively isn't just a nice-to-have—it's a must-have for businesses to stay secure and efficient.

These days, IT infrastructures are so complex, and cyber threats are so advanced, that it's not a question of if an incident will happen but when. To effectively respond to these challenges, a reliable incident management tool is an absolute necessity. The right tool can significantly reduce the impact of incidents, minimize downtime, keep your data safe, and protect your business.

With automation spanning virtually every sector of society, real-time capable operating systems (OS) are becoming critical across industries, from automotive and telecommunications, to industrial manufacturing. A real-time operating system (RTOS) ensures precise and deterministic responses, meeting strict timing requirements essential for safety and performance.

Managing costs without sacrificing insights is essential for today’s data-driven teams. With Sumo Logic’s Scan Budgets, your organization can better control and predict costs by setting budget boundaries that align with the value of your insights. Get visibility into which queries and dashboards deliver the greatest impact for your business, so you can invest in the insights that matter most while also managing costs when setting up new searches or monitors.

While we all love open source technology and the community that comes with it, we don’t always have the time or resources to stand up, maintain, update, and troubleshoot a self-hosted OSS stack. This is one of the (many) reasons companies choose to implement Grafana Cloud: you get all the goodness of the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for metrics) in a fully managed, end-to-end observability platform.

Ahrefs has been at the forefront of SEO innovation for years, and in 2024, the platform introduced several groundbreaking updates to empower marketers, SEO professionals, and businesses. This year’s changes revolved heavily around AI integration, enhanced data visualization, and better tools for competitor analysis and content strategy development.

It’s very popular to push logs, in a formatted way, to the console output of an application (sometimes referred to as stdout). Although using a push-based approach like OTLP over gRPC/HTTP is preferred and has more benefits, there are many legacy systems that still use this approach. These systems typically use a JSON output for their logs. So, how do we get these JSON logs into a backend analysis system like Honeycomb that primarily accepts OTLP data?