Scalegrid

OCTOBER 24, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. While many AWS users default to their managed database solution, Amazon RDS, there are alternatives available that can improve your MySQL performance on AWS through advanced customization options and unlimited EC2 instance type support.

AWS 183

AWS Latency Performance Benchmarking 183

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. This enables proactive AI-driven analysis and easy troubleshooting in serverless scenarios. Stay tuned for updates.

Serverless 180

Serverless Azure Lambda AWS 180

The Netflix TechBlog

JUNE 7, 2021

Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. The data is also used by security and other partner teams for insight and incident analysis.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. Log data analysis. Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. Log Monitoring.

Azure 209

Azure Metrics AWS Monitoring 209

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

NOVEMBER 17, 2020

Dynatrace has continuously extended and improved PurePath to the point where it now provides industry-leading transaction capturing and code-level analysis for the broadest set of technologies, with some additional and unique capabilities: Frontend to backend. Automatic topology analysis. Near-zero overhead.

Analytics 152

Analytics Technology Technology Cloud 152

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. So please stay tuned for updates. . Dynatrace news. What’s next.

Cloud 256

Cloud Azure Analytics AWS 256

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. Custom log metrics. Synthetic monitor metrics.

Metrics 204

Metrics Innovation Strategy Monitoring 204

The Netflix TechBlog

AUGUST 13, 2020

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. It usually has dependencies, talks to other services, and lives in different AWS regions. By Andrei U.,

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

MAY 17, 2023

It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment. Among the usual details, like the top N errors and pages, we’ll find here the two main areas for performance analysis and user behavior.

Metrics 166

Metrics Monitoring Database Network 166

Scalegrid

OCTOBER 7, 2019

AWS, however, has taken a significant leap from our last report, where they now average 77.4% AWS was not the only cloud provider to grow – we found that 19.4% of #PostgreSQL cloud deployments are run on AWS Click To Tweet. This is a new analysis we surveyed to see which languages are most popularly used with PostgreSQL.

Strategy 182

Strategy Cloud Java Open Source 182

The Netflix TechBlog

APRIL 29, 2019

takes place in Amazon Web Services (AWS), whereas everything that happens afterwards (i.e., The service that orchestrates failover uses numpy and scipy to perform numerical analysis, boto3 to make changes to our AWS infrastructure, rq to run asynchronous workloads and we wrap it all up in a thin layer of Flask APIs.

Open Source 279

Open Source Network Infrastructure Big Data 279

Scalegrid

JANUARY 11, 2024

Advanced cloud security monitoring tools, like Exabeam Fusion SIEM and Sumo Logic, provide extensive analysis, integrate with existing infrastructure, and aid organizations in responding to threats while maintaining regulatory compliance and managing potential challenges in integration and functionality.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

NOVEMBER 27, 2020

In our first use case example, we’ll show you how you can add semantics to collected business metrics via OpenTelemetry source-code instrumentation and use Dynatrace for detailed analysis. The resulting usage statistics are ingested into the Dynatrace platform for further analysis. Stay tuned. record(value); }.

Metrics 139

Metrics Open Source Lambda Serverless 139

Dynatrace

FEBRUARY 9, 2021

You don’t even have to know which technologies are running to get information beyond observability plus automatic anomaly detection and root cause analysis. The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure. So please stay tuned for updates. .

Software 142

Software Software Technology Technology 142

Brendan Gregg

SEPTEMBER 25, 2021

This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. I'm including this step as a reminder for anyone following this kind of analysis. Aftermath I provided details to AWS and Canonical, and then moved onto the other performance issues as part of the migration.

Speed 126

Speed Java AWS Virtualization 126

Scalegrid

JULY 29, 2019

Managing a database is hard, as it needs continuous updating, tuning, and monitoring to ensure the performance of your website. Host MySQL on AWS , or MySQL on Azure with configurable instance sizes through the top two cloud providers in the world. We support two different MySQL DBaaS plans on both AWS and Azure. Stay tuned!

Database 166

Database Cloud Website Azure 166

Dynatrace

AUGUST 28, 2019

Here’s how Dynatrace uses the three pillars of observability in context for automatic problem detection and root-cause analysis. Additionally, OneAgent also captures information about background and service activity for CPU analysis and method hotspots. 2) Distributed traces. What’s next?

Metrics 179

Metrics Monitoring Azure Code 179

Dynatrace

MAY 1, 2020

The investment continues—we’re anticipating an upcoming release of the AWS Graviton2 processor , which has already been announced to be significantly more powerful than its predecessor. Stay tuned for more announcements on this topic. Stay tuned for more details. The plugin module is not available at this time.

Java 132

Java Hardware Tuning Metrics 132

The Netflix TechBlog

FEBRUARY 18, 2022

This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns. Event Priority Based Clusters AWS Instance Clusters that subscribe to the corresponding queues with the same priority.

Systems 334

Systems Traffic Architecture Mobile 334

Adrian Cockcroft

JUNE 21, 2022

I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R. Rich became co-author of the second edition of the Sun Performance Tuning book, to describe how it worked. He hasn’t changed. that a lot of people used.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

OCTOBER 28, 2021

In 2009, the purveyor of online videos migrated to AWS cloud infrastructure to deliver its entertainment to a growing audience. With visibility across the full software stack, Dynatrace provides crucial contextual analysis to isolate the root cause of failures exposed by chaos testing. The history of chaos engineering.

Engineering 218

Engineering Entertainment Cloud Infrastructure 218

The Netflix TechBlog

SEPTEMBER 24, 2021

Doing so has the added advantage of being able to design and tune the enhancement to suit the requirements of packager and our other encoding applications. Our analysis of packager’s IO patterns determined that the packager makes updates with close proximity to each other?—?at at most few parts at a time?—?thus

Cloud 237

Cloud Media Storage Cache 237

Dotcom-Montior

OCTOBER 12, 2017

EasyTravel demo application on AWS server. LoadView scripting tool Easystep on AWS server. Firewall on AWS server. AWS server security policy. Result Analysis. Deep dive analysis of correlated results in Dynatrace. Setup Demo App EasyTravel on AWS box. Dynatrace – Deep dive analysis.

AWS 40

AWS Tuning Monitoring Servers 40

The Netflix TechBlog

MARCH 25, 2019

To improve data accuracy, we decided to leverage AWS S3 access logs to identify entity relationships not been captured by our traditional ingestion process. Please share your experience by adding your comments below and stay tuned for more on data lineage at Netflix in the follow up blog posts. .

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

Brendan Gregg

SEPTEMBER 25, 2021

This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. I'm including this step as a reminder for anyone following this kind of analysis. Aftermath I provided details to AWS and Canonical, and then moved onto the other performance issues as part of the migration.

Speed 40

Speed Java AWS Virtualization 40

KeyCDN

OCTOBER 31, 2018

AWS Cloud 9 AWS Cloud 9 is ideal for developing PHP applications completely in the cloud. The premium service purportedly provides ongoing threat analysis with no false positives. AppDynamics AppDynamics boasts more features than other performance tuning tools including end-to-end monitoring and code-level diagnostics.

Development 57

Development Open Source Java AWS 57

Adrian Cockcroft

NOVEMBER 13, 2023

I’ve written before about how to tune out retry storms. Of course, Azure and AWS use different methodologies to calculate their carbon footprint, which are currently based on monthly averages of the energy they purchase (using the market method, rather than what they use via the location method).

Energy 52

Energy Cloud Traffic Transportation 52

Brendan Gregg

SEPTEMBER 5, 2017

Now that eBPF has been, many of these tracing projects may switch to using it as a backend since it is stable, or, they could further specialize in what they do (non-BPF related), eg, offline analysis of a capture file (LTTng, sysdig). My rock solid experience with Ubuntu is on an LTS release. ## Crash Dump Analysis It can be done.

Virtualization 76

Virtualization AWS Engineering Hardware 76

Dynatrace

NOVEMBER 25, 2019

To validate that the tracks we put together were directly hitting the mark to help organizations transform, I did a lot of data analysis and had conversations with our global customers, partners, and our own team at here at Dynatrace. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance.

Software 38

Software Software DevOps Best Practices 38

O'Reilly

JANUARY 17, 2023

You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production. The second is the experienced ML professional who really knows how to build and tune models.

Tuning 130

Tuning Open Source AWS Software 130

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. AWS for builds. We did this as AWS was cost-prohibitive. We use nodes in different AWS regions to test bandwidth performance consistently. Ubuntu for server teams.

Architecture 52

Architecture Cache Azure Storage 52

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. Details on the AWS Blog. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. Now, thousands of customers are trying Amazon SageMaker and building ML models on top of their data lakes in AWS. Post-training model tuning and rich states. Principal Component Analysis (PCA).

Scalability 159

Scalability Hardware AWS Tuning 159

All Things Distributed

NOVEMBER 30, 2016

Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165