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To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).
This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. But there are SLO pitfalls. But there are SLO pitfalls.
In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining softwareperformance, reliability, and user satisfaction. But the pressure on CIOs to innovate faster comes at a cost.
With limited visibility, teams have a narrow understanding of how those decisions impact other software components and vice-versa. As applications have become more complex, observability tools have adapted to meet the needs of developers and DevOps teams. This helps teams to easily solve problems as, or even before, they occur.
Continuous performance testing is built on the top of Evergreen. David Daly’s presentation at LTB 2020 , How to Waste Time and Money Test ing the Performance of a Software Product, is probably a good introduction [Video] — [Slides]. 34 (2020), Performance Testing with David Daly , is another good introduction.
In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining softwareperformance, reliability, and user satisfaction. But the pressure on CIOs to innovate faster comes at a cost.
OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand softwareperformance and behavior.
Even when the staging environment closely mirrors the production environment, achieving a complete replication of all potential scenarios, such as simulating extremely high traffic volumes to assess softwareperformance, remains challenging. This can lead to a lack of insight into how the code will behave when exposed to heavy traffic.
Change is never easy, but a necessity as legacy software can’t keep up with the current needs or demand. In today’s fast-paced, always-on, and available environments, having the right performance monitoring solution for mission-critical applications requires more. Minimal tech support.
Chaos engineering is a method of testing distributed software that deliberately introduces failure and faulty scenarios to verify its resilience in the face of random disruptions. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior. Chaos engineers ask why. The history of chaos engineering.
Open source software has become a key standard for developing modern applications. From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack. What is open source software?
Open source software has become a key standard for developing modern applications. From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack. What is open source software?
Open source software has become a key standard for developing modern applications. From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack. What is open source software?
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