Remove Google Remove Latency Remove Software Remove Storage
article thumbnail

Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 243
article thumbnail

Service level objectives: 5 SLOs to get started

Dynatrace

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Note : you might hear the term latency used instead of response time.

Latency 174
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Note : you might hear the term latency used instead of response time.

Traffic 173
article thumbnail

USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Ford, et al., “TCP

article thumbnail

Compression Methods in MongoDB: Snappy vs. Zstd

Percona

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 111
article thumbnail

USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

article thumbnail

What Is a Workload in Cloud Computing

Scalegrid

Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices. Storage is a critical aspect to consider when working with cloud workloads. Just like a conductor orchestrating an ensemble of instruments to play at specific times for optimal performance.

Cloud 130