AppDynamics released AppDynamics for Databases to help enterprises troubleshoot and tune database performance problems. This new AppDynamics solution is available immediately and offers insight and visibility into how SQL and stored procedures execute within databases such as Oracle, SQL Server, DB2, Sybase, MySQL and PosgreSQL.
AppDynamics for Databases addresses the challenges that application support teams such as Developers and Operations face in trying to identify the cause of application performance issues that relate to database performance. As many as 50% of application problems are the result of slow SQL calls and stored procedures invoked by applications — yet databases have been a “black box” for application support teams.
“Giving our customers critical visibility and troubleshooting capability into the cause of database problems makes AppDynamics absolutely unique in the APM space,” said Jyoti Bansal, founder and CEO of AppDynamics. “Application support teams constantly wrestle with database performance problems in attempting to ensure uptime and availability of their mission-critical applications, but they usually lack the visibility they need to resolve problems. We’ve equipped them with a valuable new solution for ensuring application performance, and it will enable them to collaborate with their Database Administrator colleagues even more closely than before.”
With its new database monitoring solution, AppDynamics has applied its “secret sauce” from troubleshooting Java and .NET application servers to databases, allowing enterprises to pinpoint slow user transactions and identify the root cause of SQL and stored procedure queries. AppDynamics for Databases also offers universal database diagnostics covering Oracle, SQL Server, DB2, Sybase, PostgreSQL, and MySQL database platforms.
AppDynamics Pro for Databases includes the following features:
- Production Ready: Less than 1% overhead in most production environments.
- Application to Database drill-down: Ability to troubleshoot business transaction latency from the application right into the database and storage tiers.
- SQL explain/execution plans: Allows developers and database administrators to pinpoint inefficient operations and logic, as well as diagnose why queries are running slowly.
- Historical analysis: Monitors and records database activity 24/7 to allow users to analyze performance slowdowns in the database tier.
- Top database wait states: Provides insights and visibility into database wait and CPU states to help users understand database resource contention and usage.
- Storage visibility for NetApp: Provides the ability to correlate database performance with performance on NetApp storage.
The Latest
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
