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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. EC2 is ideally suited for large workloads with constant traffic.

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

Dynatrace

With so many of their transactions occurring online, customers are becoming more demanding, expecting websites and applications to always perform perfectly. However, cloud complexity has made software delivery challenging. Identify KPIs Next, create a list of the key performance indicators (KPIs) that are important to the business.

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Architected for resiliency: How Dynatrace withstands data center outages

Dynatrace

The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. There are several ways Dynatrace monitors and alerts on the impact of service disruption. Ready to learn more? Fact #2: No significant impact on Dynatrace Users.

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Automated observability, security, and reliability at scale

Dynatrace

While infrastructure has historically been treated as a bottleneck where proper scaling and compute power are applied to improve performance, these aspects are now typically addressed by hyperscalers that offer cloud-based infrastructure and infrastructure as a service.

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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

After the jobs are created, it monitors their execution progress. With traffic growth, a single leader node handling all request volume started becoming overloaded. A new wire protocol provided by Titus Job Coordinator allows monitoring of the cache consistency level and guarantees that clients always receive the latest data version.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

We started seeing signs of scale issues, like: Slowness during peak traffic moments like 12 AM UTC, leading to increased operational burden. The scheduler on-call has to closely monitor the system during non-business hours. At Netflix, the peak traffic load can be a few orders of magnitude higher than the average load.

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Sponsored Post: Etleap, PerfOps, InMemory.Net, Triplebyte, Stream, Scalyr

High Scalability

Triplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. Who's Hiring?

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