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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Its architecture supports stream transformations, joins, and filtering, making it a powerful tool for real-time analytics. However, performance can decline under high traffic conditions.

Latency 147
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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. SLOs improve software quality. So how can teams start implementing SLOs?

Software 306
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CrowdStrike update crisis: How Dynatrace helped customers recover in hours

Dynatrace

Although Dynatrace can’t help with the manual remediation process itself , end-to-end observability, AI-driven analytics, and key Dynatrace features proved crucial for many of our customers’ remediation efforts. The problem card helped them identify the affected application and actions, as well as the expected traffic during that period.

Airlines 258
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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

For retail organizations, peak traffic can be a mixed blessing. While high-volume traffic often boosts sales, it can also compromise uptimes. Five-nines availability: The ultimate benchmark of system availability. The nirvana state of system uptime at peak loads is known as “five-nines availability.” Automate IT operations.

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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

Edgar captures 100% of interesting traces , as opposed to sampling a small fixed percentage of traffic. In one request hitting just ten services, there might be ten different analytics dashboards and ten different log stores. The downside is that we have so many dashboards. Is this an anomaly or are we dealing with a pattern?

Latency 298
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

We took a hybrid head-based sampling approach that allows for recording 100% of traces for a specific and configurable set of requests, while continuing to randomly sample traffic per the policy set at ingestion point. This allowed us to increase total storage capacity without adding a new Cassandra node to the existing cluster.

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The State Of Mobile And Why Mobile Web Testing Matters

Smashing Magazine

These days, with mobile traffic accounting for over 50% of web traffic , it’s fair to assume that the very first encounter of your prospect customers with your brand will happen on a mobile device. A performance benchmark Lighthouse is well-known. That might come a little bit unexpected. billion by 2026. Large preview ).

Mobile 142