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FIFO vs. LIFO: Which Queueing Strategy Is Better for Availability and Latency?

DZone

As an engineer, you probably know that server performance under heavy load is crucial for maintaining the availability and responsiveness of your services. But what happens when traffic bursts overwhelm your system? Queueing requests is a common solution, but what's the best approach: FIFO or LIFO?

Strategy 141
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Bending pause times to your will with Generational ZGC

The Netflix TechBlog

Reduced tail latencies In both our GRPC and DGS Framework services, GC pauses are a significant source of tail latencies. For a given CPU utilization target, ZGC improves both average and P99 latencies with equal or better CPU utilization when compared to G1.

Latency 228
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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

Open vulnerability on process group: The total number of currently high-profile vulnerabilities related to a process group. Vulnerability score: The highest vulnerability risk score for a process group. This way, the travel agency can easily streamline, organize, and consolidate their quality gates and metric evaluation process.

Speed 210
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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246
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Implementing service-level objectives to improve software quality

Dynatrace

When organizations implement SLOs, they can improve software development processes and application performance. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. Latency is the time that it takes a request to be served. Reliability.

Software 267
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. There are now many more applications, tools, and infrastructure variables that impact an application’s performance and availability.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130