Dynatrace

MARCH 29, 2024

While Kubernetes is often considered the operating system of the cloud, the scale and complexity of Kubernetes cluster deployments are creating new challenges for IT teams. Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details. It’s using 1.5

Engineering 226

Engineering DevOps Operating System Open Source 226

Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. However, cloud complexity has made software delivery challenging. Visibility and automation are two of the most important SRE tools.

Best Practices 223

Best Practices DevOps Latency Metrics 223

DZone

SEPTEMBER 4, 2022

Taking this in the context of a cloud environment, where you're paying by the resources used, this can quickly become expensive. Pixie offers monitoring, telemetry, metrics, and more with less than 5% CPU overhead and latency degradation during data collection.

Monitoring 241

Monitoring Latency Metrics Cloud 241

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. But developers need code-level visibility and code-level data.”

Development 262

Development DevOps Programming Cloud 262

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 247

AWS Efficiency Azure Cloud 247

Scalegrid

OCTOBER 24, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure.

AWS 183

AWS Latency Performance Benchmarking 183

Dynatrace

DECEMBER 4, 2023

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy.

Open Source 258

Open Source Latency Metrics Java 258

InfoQ

JULY 14, 2023

Mei-Chin Tsai, Vinod discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. By Mei-Chin Tsai, Vinod Sridharan

Latency 52

Latency Azure Availability Scalability 52

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. See the health of your big data resources at a glance.

Azure 148

Azure Cloud Big Data Virtualization 148

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. And serverless support is a core capability.

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

JUNE 7, 2023

This is achieved by using OpenAI services to compute numerical representations of text data that ease the computation of text similarity, called “embeddings,” for the documents as well as for the user input. So, whenever the latency of the model response degrades, or the model request returns an error, Davis AI automatically detects it.

Monitoring 164

Monitoring Latency Metrics Azure 164

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. Dynatrace and the Nutanix extension provide you with a comprehensive view that spans on-premises, hybrid, and public cloud environments.

Virtualization 193

Virtualization Storage Metrics Monitoring 193

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. That’s a large amount of data to handle. of Micrometer.

Metrics 207

Metrics Latency Java Cache 207

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Data entering a stream. Dynatrace news. What is AWS Lambda?

Lambda 180

Lambda AWS Serverless Hardware 180

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. However, not all cloud strategies are the same. Unlike a traditional IT model, however, cloud providers own and manage these resources. Reduced latency. Some organizations prefer a serverless approach.

Serverless 165

Serverless Infrastructure Lambda Latency 165

All Things Distributed

JUNE 7, 2017

Unlocking the value of data is a primary goal that AWS helps our customers to pursue. In recent years, an explosion of intelligent devices have created oceans of new data across many industries. We have seen that such devices can benefit greatly from the elastic resources of the cloud. Law of Economics. Law of the Land.

AWS 118

AWS IoT Lambda Storage 118

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models. Graph Data Models.

Design 334

Design Media Storage Logistics 334

All Things Distributed

NOVEMBER 12, 2018

The AWS GovCloud (US-East) Region is our second AWS GovCloud (US) Region, joining AWS GovCloud (US-West) to further help US government agencies, the contractors that serve them, and organizations in highly regulated industries move more of their workloads to the AWS Cloud by implementing a number of US government-specific regulatory requirements.

AWS 117

AWS Healthcare Cloud Government 117

All Things Distributed

JUNE 20, 2017

The new region will give Hong Kong-based businesses, government organizations, non-profits, and global companies with customers in Hong Kong, the ability to leverage AWS technologies from data centers in Hong Kong. This enables customers to serve content to their end users with low latency, giving them the best application experience.

AWS 146

AWS Logistics Cloud Social Media 146

All Things Distributed

APRIL 24, 2019

AWS customers can now use this Region to serve their end users in Hong Kong SAR at a lower latency, and to comply with any data locality requirements. Today, I am happy to introduce the new AWS Asia Pacific ( Hong Kong ) Region.

AWS 167

AWS Latency Cloud Availability 167

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. That’s a large amount of data to handle. of Micrometer.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. That’s a large amount of data to handle. of Micrometer.

Metrics 130

Metrics Latency Java Cache 130

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. These checkpoint events enable faster state reconstruction by consumers of the data feed while guarding against missed updates.

Latency 213

Latency Traffic Transportation Hardware 213

The Netflix TechBlog

SEPTEMBER 8, 2020

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. Background The Netflix Android app uses the falcor data model and query protocol.

Latency 233

Latency Cache Java Traffic 233

The Morning Paper

NOVEMBER 24, 2019

Mergeable replicated data types Kaki et al., Mergeable Replicated Data Types (MRDTs) are in the same spirit as CRDTs but with the very interesting property that they compose. To ensure low-latency and high availability (or even just the ability to work when offline) we want to be able to operate locally and independently on data types.

Strategy 104

Strategy Latency Systems Processing 104

The Netflix TechBlog

NOVEMBER 17, 2022

Encoding drastically reduces the amount of video data that needs to be streamed to your device, by leveraging spatial and temporal redundancies that exist in a video. On a CPU, we leveraged oneDnn to further reduce latency. This is typically done by a conventional resampling filter, like Lanczos. Our filter can run on both CPU and GPU.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

MAY 5, 2021

At Perform 2021 , Dynatrace’s Kristof Renders, Services Practice Manager for Autonomous Cloud Enablement, joined Sumit Nagal, Principal Engineer at Intuit, to demonstrate how service-level objectives (SLOs) and business-level objectives (BLOs) can “shift left.” For example, improving latency by as little as 0.1

Benchmarking 183

Benchmarking Latency Speed Software 183

All Things Distributed

SEPTEMBER 25, 2017

This move is another milestone in our global expansion and mission to bring flexible, scalable, and secure cloud computing infrastructure to organizations around the world. This Region will consist of three Availability Zones at launch, and it will provide even lower latency to users across the Middle East.

Cloud 152

Cloud Education Energy Government 152

Dynatrace

MAY 19, 2022

Due to the massive amount of data, no one knew what action to take if a number went red. In their new dashboard, they added dimensions for load, latency, and open problems for each component. The “Four Golden Signals” include the following: Latency. For example, one dashboard is broken down by cloud hosting provider.

Automotive 270

Automotive Latency Architecture Azure 270

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems.

Architecture 76

Architecture Cloud Storage Serverless 76

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

All Things Distributed

JANUARY 6, 2016

A region in South Korea has been highly requested by companies around the world who want to take full advantage of Korea’s world-leading Internet connectivity and provide their customers with quick, low-latency access to websites, mobile applications, games, SaaS applications, and more.

AWS 110

AWS Cloud Games Latency 110

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

The Netflix TechBlog

JUNE 4, 2019

When you’re running in the cloud your containers are in a shared space; in particular they share the CPU’s memory hierarchy of the host instance. These applications range from critical low-latency services powering our customer-facing video streaming service, to batch jobs for encoding or machine learning. Linux to the rescue?

Cache 251

Cache Latency Airlines Logistics 251

Brendan Gregg

FEBRUARY 28, 2023

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

Performance 110

Performance Latency Cache Virtualization 110