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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. This significantly increases event latency. Spark Structured Streaming can also provide consistent fault recovery for applications where latency is not a critical requirement.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130
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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. By tracking metrics only at the level of service being updated, we might miss capturing deviations in broader end-to-end system functionality.

Traffic 279
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Select Add service to pick the service that has the metric you want to add.

AWS 136
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Select Add service to pick the service that has the metric you want to add.

AWS 133
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Understanding cold-start behavior is essential to tune your cloud applications cost or performance to meet your operational needs.

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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty. psql pgbench <<_eof1_ qecho adding node citus3. select citus_add_node('citus3', 5432); qecho rebalancing shards across TWO nodes. psql pgbench <<_eof1_ qecho adding node citus3.

Database 104