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 186

Serverless Azure Lambda AWS 186

Scalegrid

JULY 13, 2020

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. While Oracle remains the #1 database on the market, its popularity has steadily declined by over 18% since 2013. Not available.

Open Source 244

Open Source Tuning C++ Database 244

Percona

OCTOBER 18, 2023

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier.

Open Source 92

Open Source Database Hardware Strategy 92

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. Most Popular Cloud Providers for PostgreSQL Hosting.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

JUNE 16, 2022

While distributed cloud-native applications improve operational stability and business agility, the increased risks of an attack have made them less secure. Securing cloud applications requires a layered approach. How RASP capabilities complement other cloud security approaches. Contextual analysis. million attacks.

Tuning 222

Tuning Cloud Open Source Network 222

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. This unified approach enables Grail to vault past the limitations of traditional databases.

Analytics 185

Analytics Innovation Metrics Database 185

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). You also decide to run your database for storing user uploads – such as images or videos – directly in Kubernetes. However, you lack insights into your PVCs.

Storage 186

Storage Database Network Metrics 186

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. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. What is Prometheus?

Metrics 177

Metrics Engineering Energy Tuning 177

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 301

Open Source Traffic DevOps Cloud 301

Dynatrace

MAY 17, 2023

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. Database monitoring Once more, under Applications & Microservices, we’ll also find Databases.

Metrics 171

Metrics Monitoring Database Network 171

Dynatrace

APRIL 22, 2022

Although many companies adopt solutions such as OpenTelemetry, Prometheus, and Grafana as part of their observability strategy, they often confront a common data analysis problem: data silos. As a solution, teams often adopt open source observability tools like OpenTelemetry to gain situational awareness of their cloud-native environments.

Open Source 172

Open Source Metrics Cloud Tuning 172

Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. Log data analysis. Cloud Foundry transition to Settings 2.0. Problem detection and analysis. Now you can extend your observability into data acquired from an Oracle Database using SQL queries. Autonomous Cloud. Cloud Automation. Log Monitoring.

Azure 215

Azure Metrics AWS Monitoring 215

Dynatrace

FEBRUARY 14, 2022

Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Effective analysis of metrics requires more context, especially understanding of the dependencies between applications and respective components and how they relate to other telemetry data.

Technology 216

Technology Technology Metrics Infrastructure 216

Dynatrace

JULY 21, 2020

The Dynatrace Software Intelligence Platform supports you on your way to the enterprise cloud with deep insights into containerized, scalable microservices on cutting-edge technologies like Red Hat OpenShift or Kubernetes. The IMS service flow traverses the IMS SOAP Gateway and different IMS regions, finally hitting a DL/I database.

Java 178

Java Government Database Programming 178

Dynatrace

NOVEMBER 23, 2020

Today’s highly dynamic, heterogeneous, and complex software systems require organizations to establish observability for all provided cloud-native services. Getting specific metrics from libraries that are pre-instrumented with OpenTelemetry (for example, database drivers). Dynatrace news. What’s next.

Metrics 151

Metrics Open Source Tuning Analytics 151

Dynatrace

SEPTEMBER 15, 2020

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!

Performance 185

Performance Java Metrics Cloud 185

Dynatrace

FEBRUARY 10, 2022

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation and drive agility. With transaction analysis and code-level insights, Dynatrace detects whenever user-generated inputs are sent to vulnerable application components without sanitization. Dynatrace news. How to get started.

Traffic 233

Traffic Benchmarking Innovation Java 233

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

Scalegrid

OCTOBER 24, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. ScaleGrid offers a compelling alternative to hosting MySQL on AWS that offers better performance, more control, and no cloud vendor lock-in and the same price as Amazon RDS.

AWS 183

AWS Latency Performance Benchmarking 183

Dynatrace

JUNE 6, 2019

contributed the containerd container runtime to the Cloud Native Computing Foundation (CNCF) in 2017. The CNCF introduced the dedicated category Observability and Analysis to their project landscape to cover all things related to the monitoring of cloud-native stacks. So stay tuned. Dynatrace news. Docker, Inc.

Monitoring 165

Monitoring Tuning Metrics Analytics 165

Dynatrace

NOVEMBER 27, 2020

Getting specific metrics from libraries that are pre-instrumented with OpenTelemetry (for example, database drivers). 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. record(value); }.

Metrics 140

Metrics Open Source Lambda Serverless 140

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. AWS speaker: T. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

MAY 6, 2019

And while those enterprises are moving applications to modern cloud stacks for agility and competitive advantage, these applications often still depend on critical transactions and ‘crown jewels’ customer data residing on IBM Z mainframes. In-depth analysis at the source-code level. Dynatrace news. See it all, in context.

Java 116

Java Programming Technology Technology 116

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. We had specializations in hardware, operating systems, databases, graphics, etc. Rich Pettit is one of the best programmers I ever met.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Percona

AUGUST 27, 2018

Database administrators with appropriate privileges can associate virtual CPUs with resource groups and assign threads to these groups. 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. Currently, CPU affinity (i.e., ” Good question!

Tuning 45

Tuning Virtualization Testing Servers 45

Alex Podelko

OCTOBER 20, 2016

– Cloud. Cloud seriously impacts system architectures that has a lot of performance-related consequences. To get full advantage of cloud, such cloud-specific features as auto-scaling should be implemented. The dynamic architectures represent a major challenge for both monitoring and analysis. – Agile.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. These can be invisible to top(8).

Speed 126

Speed Java AWS Virtualization 126

Brendan Gregg

FEBRUARY 9, 2018

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. Cloud provider hypervisor changes (for cloud guests) 1. Many thanks to the engineers working hard to develop workarounds to these processor bugs. and 4.14.12 They are: 1.

Performance 75

Performance Benchmarking Cache Tuning 75

KeyCDN

OCTOBER 31, 2018

PHPStorm PHPStorm streamlines application development by offering integration with relational databases and other PHP tools. AWS Cloud 9 AWS Cloud 9 is ideal for developing PHP applications completely in the cloud. AWS Cloud 9 AWS Cloud 9 is ideal for developing PHP applications completely in the cloud.

Development 57

Development Open Source Java AWS 57

Brendan Gregg

FEBRUARY 8, 2018

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. Cloud provider hypervisor changes (for cloud guests) 1. Many thanks to the engineers working hard to develop workarounds to these processor bugs. and 4.14.12 They are: 1.

Performance 40

Performance Benchmarking Cache Tuning 40

O'Reilly Software

APRIL 4, 2018

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components.

Architecture 80

Architecture Scalability Google Operating System 80

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. These can be invisible to top(8).

Speed 40

Speed Java AWS Virtualization 40

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

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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 results are saved to a database so they can be reused. Footnotes Formerly known as Media Cloud Engineering/MCE team.

Processing 229

Processing Media Latency Innovation 229

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. Especially when you consider how Certain Big Cloud Providers treat autoML as an on-ramp to model hosting.

Tuning 130

Tuning Open Source AWS Software 130