Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” “Great! ” Welcome to the world of data observability.

DevOps 194

DevOps Analytics Airlines Metrics 194

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. It’s essential to understand when something goes wrong along the application delivery chain so you can identify the root cause and correct it before it impacts your business. Monitoring focuses on watching specific metrics.

Monitoring 220

Monitoring Metrics DevOps Scalability 220

Dynatrace

AUGUST 10, 2023

Dynatrace business events address these systemic problems, delivering real-time business observability to business and IT teams with the precision and context required to support data-driven decisions and improve business outcomes. In both examples, we used Dynatrace OneAgent® deep payload inspection to capture business data in motion.

Database 130

Database Metrics Retail Analytics 130

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP HANA server infrastructure monitored with OneAgent.

Java 188

Java Analytics Best Practices Monitoring 188

Dynatrace

AUGUST 9, 2023

The massive volumes of log data over months, sometimes years, of a breach have made this a complicated and expensive problem to solve. Relying only on logs to find indicators of compromise (IoC) is no longer effective, especially for application attacks, because logs simply don’t contain all the clues.

Analytics 218

Analytics Metrics Database Storage 218

Dynatrace

JUNE 9, 2023

Teams need a technology boost to deal with managing cloud-native data volumes, such as using a data lakehouse for centralizing, managing, and analyzing data. Teams need a technology boost to deal with managing cloud-native data volumes, such as using a data lakehouse for centralizing, managing, and analyzing data.

DevOps 183

DevOps Analytics Storage Metrics 183

Dynatrace

SEPTEMBER 23, 2021

In 2019, Gartner reported that 30% of organizations worldwide were running containerized applications. They predicted this figure would jump to 75% by 2022. So far, their prediction seems to be spot-on. Application developers commonly leverage open-source software when building containerized applications.

Open Source 250

Open Source Benchmarking Best Practices Network 250

Dynatrace

OCTOBER 4, 2022

But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle. The only way to address these challenges is through observability data — logs, metrics, and traces. That’s because every company is now a software company. That’s exactly what a software intelligence platform does.

Analytics 190

Analytics Software Software Storage 190

Dynatrace

JULY 12, 2022

Ultimately, this IT automation helps organizations garner real-time data for precise troubleshooting, robust application performance, and solid customer experience. Then, the platform builds relationships … [to provide] precise answers and predictive insights.”. It’s not easy to see what’s going on within your environment.”

Innovation 219

Innovation Infrastructure DevOps Azure 219

Dynatrace

SEPTEMBER 30, 2020

Sure you can go fast but you and your applications won’t end up in the right place and there is a good chance you will end up in a ditch with a broken app! So how do you refactor those monolith applications, build new cloud-native applications and containerize legacy apps and do so in record time?

Innovation 149

Innovation Speed Virtualization Infrastructure 149

The Netflix TechBlog

MAY 21, 2019

using RL agents for test case scheduling By: Stanislav Kirdey , Kevin Cureton , Scott Rick , Sankar Ramanathan Introduction Netflix brings delightful customer experiences to homes on a variety of devices that continues to grow each day. These problems could be solved in several different ways. Detect a regression in a test case.

Testing 163

Testing AWS Lambda Network 163

Dotcom-Montior

NOVEMBER 24, 2021

There was a time when standing up a website or application was simple and straightforward and not the complex networks they are today. Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The recipe was straightforward. Do you have a web server?

Systems 74

Systems Monitoring Hardware Network 74

All Things Distributed

APRIL 9, 2015

As I wrote last week machine learning is becoming an increasingly important tool to build advanced data driven applications. At Amazon we have hundreds of teams using machine learning and by making use of the Machine Learning Service we can significantly speed up the time they use to bring their technologies into production.

Lambda 123

Lambda Cloud IoT AWS 123

Highly Scalable

MARCH 10, 2015

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale.

Scalability 167

Scalability Database Ecommerce Latency 167

The Morning Paper

FEBRUARY 6, 2020

.’ Stateless is fine until you need state, at which point the coarse-grained solutions offered by current platforms limit the kinds of application designs that work well. Only now the database is itself a distributed KVS, and the slices of application functionality are much finer-grained. High level architecture.

Lambda 98

Lambda Serverless Cache Latency 98

Alex Russell

MAY 9, 2022

This is not a technical problem per se — it's a management issue, and one that teams can conquer with the right frame of mind and support. Nobody wants to do bad work, but until they know what it is they're trying to do — or if they don't know why they're doing it — how do they know that they're doing good work?

Performance 86

Performance Latency Metrics Engineering 86

O'Reilly

OCTOBER 31, 2019

One fundamental problem with quantum computers is that the probability they’ll return an incorrect answer is always non-zero. Most of what we do on our computers—fancy graphics, email, databases, building websites, data analysis, digital signal processing—can’t be done with quantum computing. Certainly not now, and possibly never.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

Adrian Cockcroft

NOVEMBER 11, 2019

Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. The first technique is the most generally useful. Hence, one way to reduce risk is to make systems more observable.

Latency 52

Latency Engineering Systems Hardware 52

Alex Russell

APRIL 29, 2021

Apple forces developers of competing browsers to use their engine for all browsers on iOS , restricting their ability to deliver a better version of the web platform. Apple bars web apps from the only App Store allowed on iOS. [1]. This is a bold assertion, and proving it requires overwhelming evidence. Steve & Tim's Close-up Magic.

Media 145

Media Games Education Engineering 145

Adrian Cockcroft

NOVEMBER 11, 2019

Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. The first technique is the most generally useful. Hence, one way to reduce risk is to make systems more observable.

Latency 53

Latency Engineering Systems Hardware 53

SQL Performance

SEPTEMBER 2, 2021

A lot of things change over the course of a few major versions of our favorite database platform. SQL Server 2016 brought us STRING_SPLIT , a native function that eliminates the need for many of the custom solutions we’ve needed before. Solve old problems with SQL Server’s new STRING_AGG and STRING_SPLIT functions.

C++ 59

C++ Servers Testing Database 59

Highly Scalable

AUGUST 20, 2013

It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. The requirements and the system itself were so generic and typical that we describe it below as a canonical model, just like an abstract problem statement.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. In many organizations, front-end developers know exactly what common underlying problems are and what loading patterns should be used to fix them. Looking back now, things seem to have changed quite significantly. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. In many organizations, front-end developers know exactly what common underlying problems are and what loading patterns should be used to fix them. Looking back now, things seem to have changed quite significantly. Table Of Contents. Quick Wins.

Performance 103

Performance Cache Metrics Network 103

Particular Software

APRIL 9, 2018

Luckily, there are tools in place that let us keep track of electricity and water usage, how much parking we have available, and how much trash the park generates. This infrastructure monitoring helps us understand whether our theme park has the infrastructure it needs to operate. How many CPU cycles is a system using?

Systems 40

Systems Infrastructure Monitoring Tuning 40

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253

O'Reilly

OCTOBER 11, 2022

So is optical character recognition (OCR)–something that’s old hat now, but is one of the first successful applications of AI. Using AI to discover tasks that can be automated also comes up frequently. And it’s never bubbled up far enough into our consciousness to make it into our monthly Trends piece. Automating Office Processes.

Games 115

Games Healthcare Processing Retail 115