Dynatrace

MAY 2, 2024

Dynatrace Runtime Vulnerability Analysis now covers the entire application stack – blog Dynatrace adds Go vulnerability analysis on top of Java,NET, Node.js, and PHP vulnerability analysis. Learn its benefits—and challenges—and how to tame it. Dive into the following resources to learn more.

Artificial Intelligence 214

Artificial Intelligence Cloud Best Practices DevOps 214

Dynatrace

MARCH 8, 2021

We do our best to provide support for all popular hardware and OS platforms that are used by our customers for the hosting of their business services. Please check our detailed OneAgent support matrix to learn about feature availability on specific hardware and software platforms. What about ActiveGates? What about Dynatrace Managed?

Operating System 234

Operating System Hardware Technology Technology 234

Dynatrace

MARCH 28, 2024

For one Dynatrace customer, a hardware and software provider, introducing automation into DevOps processes was a game-changer. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts about future events.

C++ 187

C++ Artificial Intelligence DevOps Innovation 187

Brendan Gregg

MAY 1, 2022

My dream is to turn computer performance analysis into a science, one where we can completely understand the performance of everything: of applications, libraries, kernels, hypervisors, firmware, and hardware. It's a critical time to join, and an honour to do so as an Intel fellow, based in Australia.

Wireless 145

Wireless Hardware Open Source AWS 145

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 171

Architecture Availability Infrastructure Metrics 171

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library.

Hardware 40

Hardware Transportation Performance Latency 40

High Scalability

DECEMBER 16, 2022

This means that users only pay for the computing resources they actually use, rather than having to invest in expensive hardware and software upfront. I do not reside on any specific type of hardware or infrastructure, and am not hosted on the cloud or on-premises.

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

JUNE 25, 2020

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Save on costs for hardware and network bandwidth to optimize total cost of ownership. A similar analysis can be performed on your GRO. A similar analysis can be performed on your GRO.

Availability 249

Availability Hardware Latency Traffic 249

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. They maintain fault tolerance and redundancy by replicating this information throughout various nodes in the system.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

MAY 14, 2020

A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. The ALR mechanism also ensures maximum stability when the actual load exceeds the capacity of the cluster (though a statistically valid set of requests is still captured for analysis by the Dynatrace Davis AI causation engine ).

Processing 155

Processing Hardware Traffic Storage 155

Dynatrace

JUNE 29, 2022

They use the same hardware, APIs, tools, and management controls for both the public and private clouds. Amazon Web Services (AWS) Outpost : This offering provides pre-configured hardware and software for customers to run native AWS computing, networking, and services on-premises in a cloud-native manner.

Infrastructure 184

Infrastructure Cloud Azure AWS 184

Dynatrace

JANUARY 16, 2023

On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. The need for runtime security observability is growing to automate vulnerability impact analysis. Service meshes : Istio is the most used service mesh.

Open Source 345

Open Source Java Operating System Programming 345

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. Logs can include data about user inputs, system processes, and hardware states. Dynatrace news. billion in 2020 to $4.1 What is log monitoring?

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

NOVEMBER 1, 2022

A 2022 Outage Analysis report found that enterprises are struggling to achieve a measurable reduction in outage rates and severity. Maintenance: Reduces the risk of an incident occurring again with root-cause analysis and continuous improvements to the system. MTTF measures the reliability of a network and durability of its hardware.

DevOps 209

DevOps Artificial Intelligence Metrics Network 209

Adrian Cockcroft

MARCH 17, 2020

The opening paragraph above is the same as my previous discussion focused on hardware, software and operational failure modes , but we are now in the middle of a pandemic, so I’m going to adapt the discussion of hazards and failure modes to our current situation. Book: Engineering a Safer World by Nancy G.

Healthcare 52

Healthcare Government Airlines Systems 52

Scalegrid

DECEMBER 21, 2023

This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

APRIL 5, 2021

This is where Lambda comes in: Developers can deploy programs with no concern for the underlying hardware, connecting to services in the broader ecosystem, creating APIs, preparing data, or sending push notifications directly in the cloud, to list just a few examples. How does AWS Lambda work? Optimizing Lambda for performance.

Lambda 181

Lambda AWS Serverless Hardware 181

Dynatrace

MAY 1, 2023

Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time. This enables AIOps teams to better predict performance and security issues and improve overall IT operations.

Analytics 190

Analytics Artificial Intelligence Big Data Open Source 190

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Serverless architecture offers several benefits for enterprises. Simplicity. The first benefit is simplicity. Boosting batch processing.

Serverless 283

Serverless AWS Lambda Storage 283

Dynatrace

JUNE 15, 2023

If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications? These alerts tend to slow down development.

Cloud 179

Cloud Open Source Architecture Monitoring 179

Testlodge

MARCH 12, 2024

It involves a quick analysis of the most primary system functions. End-to-end tests can often include hardware. If this is the case, request hardware units as early as possible to avoid any delays in testing due to supply issues. Smoke – Smoke testing is a form of build verification.

Systems 90

Systems Testing Open Source Hardware 90

DZone

JULY 23, 2021

The fail-over condition arises due to uncontrolled network failure, OS failure, hardware failure or DR drill. Many organizations spend huge amounts of time manually settling business transactions when there is a complete fail-over of an application or site zone failure to another application site zone.

Hardware 246

Hardware Network Processing Availability 246

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. Anomaly detection and precise root-cause-analysis for fast remediation.

Open Source 304

Open Source Traffic DevOps Cloud 304

Dynatrace

SEPTEMBER 15, 2020

Dynatrace can help customers monitor, troubleshoot, and optimize application performance for workloads operating on AWS Outposts, in AWS Regions, and on customer-owned hardware for a truly consistent hybrid experience.”. “We are delighted to welcome Dynatrace to the AWS Outposts Ready Program. What is AWS Outposts?

AWS 202

AWS Design Storage Cloud 202

Scalegrid

JANUARY 5, 2024

For professions heavily relying on data analysis and automated processes, DBMS plays a vital part, enabling professionals to work more efficiently and make informed decisions. In professions heavily reliant on data analysis and automated processes, these capabilities empower professionals to work more efficiently and make informed decisions.

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

NOVEMBER 9, 2021

AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions. While the result of this offline analysis was very exciting, what really matters to us is our members’ streaming experience.

Media 246

Media Open Source Efficiency Software Engineering 246

The Netflix TechBlog

NOVEMBER 9, 2022

Exposing a more comprehensive set of PMCs along with PEBS across all instance types and sizes in the cloud environment would pave the way for deeper performance analysis and potentially even larger performance gains.

Hardware 363

Hardware Cache Performance Latency 363

Dynatrace

FEBRUARY 23, 2022

IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. AIOps for root-cause analysis becomes critical. This real-time analysis is key as teams integrate security verification to test code in development and continually identify new security vulnerabilities in production.

Serverless 267

Serverless Infrastructure Innovation DevOps 267

Dynatrace

APRIL 15, 2022

While modern cloud systems simplify tasks — such as deploying apps and provisioning new hardware and servers — cloud environments can be surprisingly complex. “We recently made great strides to improve our analysis views to give our customers even more value.”

Cloud 179

Cloud Infrastructure Innovation Monitoring 179

DZone

FEBRUARY 8, 2021

CPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , Stolen CPU time. In this article let's study ‘Software Interrupt CPU time’.

Software 189

Software Software Operating System Hardware 189

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 110

Availability Database Open Source Hardware 110

Dynatrace

MAY 5, 2020

Tasks such as hardware provisioning, database setup, patching, and backups are fully automated, making Amazon RDS cost efficient and scalable. Watch this Dynatrace Power Demo to learn more about Dynatrace AWS monitoring and how Dynatrace Davis spots problems in real time and provides business impact and root cause analysis.

Design 142

Design AWS Education Innovation 142

DZone

DECEMBER 27, 2020

CPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time, System CPU time, nice CPU time, Idle CPU time, Waiting CPU time, Hardware Interrupt CPU time, Software Interrupt CPU time, Stolen CPU time. Let’s review each of the CPU time in this article. User CPU Time and System CPU Time.

Operating System 211

Operating System Hardware Network Systems 211

Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little. Reduced cost.

Cloud 167

Cloud Traffic Best Practices Strategy 167

Brendan Gregg

MAY 1, 2022

My dream is to turn computer performance analysis into a science, one where we can completely understand the performance of everything: of applications, libraries, kernels, hypervisors, firmware, and hardware. It's a critical time to join, and an honour to do so as an Intel fellow, based in Australia.

Wireless 52

Wireless Hardware Open Source Cloud 52

Dynatrace

NOVEMBER 22, 2022

Traditionally, teams achieve this high level of uptime using a combination of high-capacity hardware, system redundancy, and failover models. Apply AI for real-time root-cause analysis. An always-on infrastructure provides the foundation for system availability that can deliver five-nines availability.

Infrastructure 185

Infrastructure Availability Systems Retail 185