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The state of site reliability engineering: SRE challenges and best practices in 2023

Dynatrace

Customer empathy is key to a fully optimized site reliability engineering practice Software engineering can often be an impersonal discipline. Generative AI can also help improve root cause analysis by allowing users to ask specific questions regarding architecture and digital environments.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 196
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207
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Automated observability, security, and reliability at scale

Dynatrace

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. This is especially crucial in microservice architectures, where the number of components can be overwhelming. The screenshot below displays such a configuration.

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Architected for resiliency: How Dynatrace withstands data center outages

Dynatrace

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. 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. Conclusion: Investing in resilient architecture is CONTINUOUS.

AWS 198
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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Here is the definition of this model: ?.

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Sponsored Post: Wynter, Pinecone, Kinsta, Bridgecrew, IP2Location, StackHawk, InterviewCamp.io, Educative, Stream, Fauna, Triplebyte

High Scalability

If you have experience in hosting and with the WordPress stack, have worked with Ubuntu or Debian-based systems, and cutting-edge technologies, such Ansible and LXC, you should definitely check us out and apply here ! Learn how engineering teams are using products like StackHawk and Snyk to add security bug testing to their CI pipelines.

Education 100