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.

Best Practices 192

Best Practices Code Infrastructure Latency 192

Scalegrid

JULY 13, 2020

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. These new applications are a great way for enterprise companies to test out PostgreSQL before migrating their entire infrastructure. Scalability. Compare Ease of Use. PostgreSQL. PostgreSQL. Compatibility.

Open Source 244

Open Source Tuning C++ Database 244

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Event logs for ad-hoc analysis and auditing.

Open Source 304

Open Source Traffic DevOps Cloud 304

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

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs.

Metrics 180

Metrics Engineering Energy Tuning 180

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. It enables them to adapt to user feedback swiftly, fine-tune feature releases, and deliver exceptional user experiences, all while maintaining control and minimizing disruption. But it doesn’t stop there.

DevOps 222

DevOps Traffic Efficiency Servers 222

Dynatrace

FEBRUARY 10, 2021

Critical success factors – velocity, resilience, and scalability. Lots of data intended to help and aid, but instead results in too much noise and unnecessary alerts due to the lack of intelligent root-cause analysis and transparency.

Cloud 169

Cloud DevOps Speed Azure 169

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. Our goal is to make this process simple, scalable, and enjoyable. Easily tie data to the application topology for deep analysis and to fuel the Davis AI engine.

Software 145

Software Software Technology Technology 145

Dynatrace

MAY 17, 2023

Heading over to `Infrastructure` / `Hosts` in your dashboard, you should now have an entry for the host where you installed OneAgent. The other sections on that page (such as Disk analysis) provide further information and charts on topics such as available disk space, latency, dropped network packets, refused connections, and more.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

OCTOBER 28, 2021

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. The history of chaos engineering. Netflix pioneered chaos engineering out of necessity.

Engineering 228

Engineering Entertainment Cloud Infrastructure 228

Dynatrace

JANUARY 19, 2021

Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. Dynatrace not only automates instrumentation efforts, but also automates the analysis of distributed traces in a complete observability context, including related metrics and logs. Or you can?jump

Lambda 211

Lambda Serverless AWS Mobile 211

Dynatrace

NOVEMBER 4, 2019

Gartner’s Top Emerging Trends in Cloud Native Infrastructure Report states, “Containers and Kubernetes are becoming the foundation for building cloud-native infrastructure to improve software velocity and developer productivity”. All detected log files are listed on the corresponding process group/process or host overview pages.

Monitoring 218

Monitoring Cloud Metrics Code 218

Dynatrace

DECEMBER 8, 2020

It inherits the automation, AI, scalability, and enterprise-grade robustness of the Dynatrace platform. With new RASP capabilities of the Dynatrace OneAgent, the same trusted approach extends the Dynatrace platform to application security: automatic, intelligent, highly scalable. Stay tuned – this is only the start.

Cloud 292

Cloud Open Source Internet Internet 292

Percona

OCTOBER 18, 2023

Flexibility and scalability Open source databases provide much greater flexibility regarding customization and configuration. Are you looking to enhance performance, improve scalability, cut expenses, or gain access to specific features you don’t currently have? Start by identifying the reasons driving the migration.

Open Source 95

Open Source Database Hardware Strategy 95

Dynatrace

OCTOBER 26, 2020

Christian Inzko , Performance Engineer out of our Klagenfurt Lab, is running a lot of performance tests to validate performance and scalability of our Dynatrace clusters. This integration ensures that performance data from testing tools such as JMeter is in the same place as all other relevant performance and infrastructure data.

Innovation 155

Innovation Metrics Hardware Games 155

Dynatrace

NOVEMBER 4, 2019

Gartner’s Top Emerging Trends in Cloud Native Infrastructure Report states, “Containers and Kubernetes are becoming the foundation for building cloud-native infrastructure to improve software velocity and developer productivity”. All detected log files are listed on the corresponding process group/process or host overview pages.

Monitoring 100

Monitoring Cloud Metrics Code 100

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. We are moving from static to very dynamic infrastructure and applications. Release decision making with Service-Level Objectives (SLOs).

Metrics 152

Metrics Engineering Google Monitoring 152

O'Reilly Software

APRIL 4, 2018

Those were the days when “connected” meant having some web presence, “interactions” were measured in number of clicks, and the analysis happened in batch overnight processes. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

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. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

JUNE 13, 2019

Data analysis within large and highly dynamic microservices environments is the biggest challenge that Application Performance Monitoring (APM) vendors face today. The real challenge is robust and effective analysis of such data. Why are we doing this? Agents are far easier to deploy than manual instrumentation to code.

IoT 46

IoT C++ Analytics Java 46

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

KeyCDN

OCTOBER 31, 2018

PHPUnit is particularly useful for consistency and scalability testing. The premium service purportedly provides ongoing threat analysis with no false positives. Aside from infrastructure monitoring, New Relic can collect user data and provide valuable analysis to assist you in creating a better user experience.

Development 57

Development Open Source Java AWS 57

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40

DevOps Network Best Practices Programming 40

The Netflix TechBlog

JANUARY 10, 2024

Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. In addition to the scalability and the stability that the developers already enjoyed in Reloaded, Cosmos aimed to significantly increase system flexibility and feature development velocity.

Processing 229

Processing Media Latency Innovation 229

Rigor

SEPTEMBER 3, 2019

RUM or analytics data (funnel analysis) can help you determine the user flows that drive the majority of your business and that will be most critical on high-load days. STEP 7: Tune Your CDN Performance. CDNs offload traffic from your core infrastructure, delivering assets much more quickly than you would normally be able to.

Website 74

Website Cache Ecommerce Traffic 74

Rigor

SEPTEMBER 11, 2019

Find his research and analysis on the HTTP Archive Discussion forums. Barry is a professional software developer who has nearly two decades of industry experience developing and supporting software and infrastructure. He has a keen interest in web technologies, performance tuning, security, and the practical use of technology.

Performance 89

Performance Education Google Website 89

The Netflix TechBlog

NOVEMBER 2, 2021

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation.

Media 171

Media Innovation Metrics Latency 171

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.

Lambda 122

Lambda Cloud IoT AWS 122

The Netflix TechBlog

MARCH 7, 2019

To unlock these innovations we are making a strategic choice that our focus should be geared towards developing the surrounding infrastructure so that scientists’ work can be easily absorbed into the wider Netflix Experimentation Platform. In the democratization of the experimentation platform we also want to allow custom analysis.

Engineering 174

Engineering Design Innovation Java 174

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. For highly scalable services, going outside of java process is costly, even to go to Memcache or Redis so we do in-memory cache with varying TTL for some highly used data structures like access control computation, feature flags, routing metadata etc. What Infrastructure Do You Use? Permissions.

Architecture 52

Architecture Cache Azure Storage 52