The Netflix TechBlog
AUGUST 13, 2020
Over the years we’ve learned from on-call engineers about the pain points of application monitoring: too many alerts, too many dashboards to scroll through, and too much configuration and maintenance. Our streaming teams need a monitoring system that enables them to quickly diagnose and remediate problems; seconds count!
Dynatrace
OCTOBER 28, 2021
But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. In 2009, the purveyor of online videos migrated to AWS cloud infrastructure to deliver its entertainment to a growing audience. Dynatrace news.
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The Netflix TechBlog
JUNE 13, 2023
Behind these perfect moments of entertainment is a complex mechanism, with numerous gears and cogs working in harmony. A small percentage of production traffic is redirected to the two new clusters, allowing us to monitor the new version’s performance and compare it against the current version.
The Netflix TechBlog
AUGUST 1, 2022
stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users. Overall Architecture The Data Mesh system can be divided into the control plane (Data Mesh Controller) and the data plane (Data Mesh Pipeline).
Apica
MARCH 31, 2022
Monitoring application performance is more important than ever. With an ever-growing catalog of applications in need of support, and IT architecture increasing in complexity, ensuring the ideal user experience is a tremendous challenge. See what users have to say about Apica’s synthetic monitoring capabilities, from PeerSpot.
The Netflix TechBlog
FEBRUARY 25, 2021
Rapid Development with GraphQL Microservices by Dane Avilla The entertainment industry has struggled with COVID-19 restrictions impacting productions around the globe. Consumers of GraphQL APIs can simply leverage the open-source GraphQL client of their preference.
Percona
NOVEMBER 9, 2023
In addition, Kubernetes provides features like continuous monitoring, self-healing capabilities ( automatically replacing containers if they happen to fail ), and rolling updates ( gradual updates of your applications ), ensuring that your applications are always available — even in the face of failures or updates.
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