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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. AWS monitoring best practices. Automate monitoring tasks.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Automation, automation, automation. Manage platform health and performance.

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Conducting log analysis with an observability platform and full data context

Dynatrace

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Business leaders can decide which logs they want to use and tune storage to their data needs. Seamless integration.

Analytics 187
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Dynatrace extends distributed tracing for serverless on AWS Lambda (GA)?

Dynatrace

A single pane of glass to view trace information along with AWS CloudWatch metrics. See your AWS serverless workloads in full context with customer experience and business outcome metrics. Other tools in the market for monitoring AWS Lambda traces can’t deliver real end-to-end visibility from the end-user perspective across all?moving

Lambda 209
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DevOps observability: A guide for DevOps and DevSecOps teams

Dynatrace

Site reliability engineering (SRE) is a software operations methodology that enables organizations to create highly reliable and scalable applications. SRE applies software engineering principles to operations and infrastructure processes. 9 key DevOps metrics for success – blog. Congratulations!

DevOps 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 a shortlist to get you started.

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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?

Java 116