Dynatrace

FEBRUARY 10, 2022

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation and drive agility. WAFs protect the network perimeter and monitor, filter, or block HTTP traffic. Compared to intrusion detection systems (IDS/IPS), WAFs are focused on the application traffic. Dynatrace news.

Traffic 235

Traffic Benchmarking Innovation Java 235

Dynatrace

FEBRUARY 16, 2023

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. With its massively parallel architecture, Grail can ingest and process high cardinality data at the scale of modern cloud architectures without losing fidelity.

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

OCTOBER 7, 2020

Stay tuned for an upcoming blog series where we’ll give you a more hands-on walkthrough of how to ingest any kind of data from StatsD, Telegraf, Prometheus, scripting languages, or our integrated REST API. So you get auto-adaptive baselining for custom metrics and Davis automated root cause analysis from Day 1.

Open Source 256

Open Source Metrics Analytics Tuning 256

Dynatrace

SEPTEMBER 28, 2021

Application usage and traffic. Application usage and traffic monitors the number of users accessing your system and informs many other metrics, including system uptime. For example, if your application gets too much traffic and usage, it could fail under the pressure. Watch webinar now!

DevOps 203

DevOps Metrics Traffic Efficiency 203

Dynatrace

JUNE 9, 2021

Software Composition Analysis (SCA) analyzes applications to detect open-source software (OSS) and third-party components known to have security vulnerabilities or licensing restrictions. Developers include an IAST agent inside each application, and the agent conducts runtime analysis of the application code, memory, and data flow.

Open Source 182

Open Source Entertainment Tuning Internet 182

Dynatrace

JULY 18, 2023

While infrastructure has historically been treated as a bottleneck where proper scaling and compute power are applied to improve performance, these aspects are now typically addressed by hyperscalers that offer cloud-based infrastructure and infrastructure as a service. You can read all about it in our Configuration as Code documentation.

Best Practices 192

Best Practices Code Infrastructure Latency 192

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 173

Metrics Monitoring Database Network 173

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

Monitoring 206

Monitoring Social Media IoT Metrics 206

Dynatrace

MAY 1, 2020

We understand the dependencies between the mainframe, data center, and cloud, including all application components and even end-user experience. Our mission is to provide automatic answers, including root cause analysis, for performance degradation across all these systems and environments, regardless of the underlying hardware architecture.

Java 133

Java Hardware Tuning Metrics 133

Adrian Cockcroft

NOVEMBER 13, 2023

This is basically the position of the major cloud providers, they will all take care of it for you by 2030 or so. A rough guide if you don’t have any better data is that with no traffic to a system it will be 10% utilization and use 30% of peak power, 25% utilization uses 50% of peak power, and at 50% utilization it uses 75% of peak power.

Energy 52

Energy Cloud Traffic Transportation 52

Percona

AUGUST 27, 2018

We can split the task of having a good Resource Group implementation into three steps: You must perform an analysis of what you want to control. Then we need to see IF implementing the tuning will work or not. It is possible to do more tuning in the case that ETL is too compromised. ” Good question! Will this work?

Tuning 46

Tuning Virtualization Testing Servers 46

Brendan Gregg

SEPTEMBER 25, 2021

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. That changed by the end of the year.) ## 5.

Speed 126

Speed Java AWS Virtualization 126

Percona

OCTOBER 18, 2023

Database setup To start your migration, you’ll need to install the new open source database software on your server or a cloud platform. This is where you will fine-tune authentication mechanisms, storage paths, security policies, and memory allocation settings to optimize them for your specific use case(s).

Open Source 97

Open Source Database Hardware Strategy 97

Dynatrace

DECEMBER 9, 2020

Confidence for a safe release is provided by more validation of how the changes impact quality, for example, before deploying to production or with impact analysis during blue/green deployments. This helps to perform dynamic what-if analysis with different timeframes and to look back in time.

Metrics 152

Metrics Engineering Google Monitoring 152

KeyCDN

OCTOBER 31, 2018

AWS Cloud 9 AWS Cloud 9 is ideal for developing PHP applications completely in the cloud. Additionally, DebugBar can monitor network traffic, inspect CSS elements and evaluate your JavaScript code. The premium service purportedly provides ongoing threat analysis with no false positives.

Development 57

Development Open Source Java AWS 57

Dynatrace

NOVEMBER 20, 2019

At Dynatrace, where we provide a software intelligence platform for hybrid environments (from infrastructure to cloud) we see a growing need to measure how mainframe architecture and the services running on it contribute to the overall performance and availability of applications. Full-stack and cloud-infrastructure monitoring modes.

Availability 31

Availability Hardware Java Tuning 31

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Just because everything works perfectly during production testing doesn’t mean that will be the case when your website is flooded with traffic.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Brendan Gregg

SEPTEMBER 25, 2021

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. That changed by the end of the year.) ## 5.

Speed 40

Speed Java AWS Virtualization 40

Dynatrace

AUGUST 8, 2019

At Dynatrace, where we provide a software intelligence platform for hybrid environments (from infrastructure to cloud) we see a growing need to measure how mainframe architecture and the services running on it contribute to the overall performance and availability of applications. Full-stack and cloud-infrastructure monitoring modes.

Availability 25

Availability Hardware Java Tuning 25

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

The Netflix TechBlog

FEBRUARY 18, 2022

We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters. This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. It serves as an entry point into any new analysis.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

JANUARY 10, 2024

Complexity Analysis Service (CAS): The optimal encoding recipe is highly content-dependent. This service takes a mezzanine as the input and performs analysis to understand the content complexity. The service also provides options that allow fine-tuning latency, throughput, etc., depending on the use case.

Processing 229

Processing Media Latency Innovation 229

O'Reilly

SEPTEMBER 19, 2023

Cloud computing? A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” And just as we started to complain that the crypto miners were snapping up all of the affordable GPU cards, cloud providers stepped up to offer access on-demand. And, often, to giving up.

Hardware 99

Hardware Storage Big Data Blockchain 99

The Netflix TechBlog

NOVEMBER 2, 2021

Such coupling problems abound with our Reloaded architecture, and hence the Media Cloud Engineering and Encoding Technologies teams have been working together to develop a solution that addresses many of the concerns with our previous architecture. Stay tuned for more details on these algorithmic innovations.

Media 171

Media Innovation Metrics Latency 171