Dynatrace

MARCH 20, 2024

Vulnerabilities or hardware failures can disrupt deployments and compromise application security. For instance, if a Kubernetes cluster experiences a hardware failure during deployment, it can lead to service disruptions and affect the user experience.

Open Source 260

Open Source Hardware DevOps Infrastructure 260

DZone

FEBRUARY 8, 2022

Any service provider tries to reach several metrics in their activity. One group of these metrics is service quality. Quality metrics contain: The ratio of successfully processed requests. But what is the metric that shows service hardware monopolization by a group of users? Number of requests dependent curves.

Network 246

Network Hardware Metrics Processing 246

SQL Shack

OCTOBER 2, 2019

Summary There is a multitude of database metrics that we can collect and use to help us understand database and server resource consumption, as well as overall usage. This data can include hardware statistics, such as measures of CPU or memory consumed over time.

Metrics 66

Metrics Database Hardware Servers 66

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

JULY 11, 2023

IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Captures metrics, traces, logs, and other telemetry data in context. Having all data in context tremendously simplifies analytics and problem detection.

Architecture 164

Architecture Availability Infrastructure Metrics 164

Dynatrace

DECEMBER 8, 2021

These rapid changes — as well as the increasing volume and variety of data created — require a new approach to observability. Modern operating systems provide capabilities to observe and report various metrics about the applications running. Another aspect of microservices is how the service itself relates to the underlying hardware.

Cloud 220

Cloud Serverless Hardware Operating System 220

Dynatrace

AUGUST 26, 2020

“ Dynatrace just makes observability easy—it works out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources.” There’s no other competing software that can provide this level of value with minimum effort and optimal hardware utilization that can scale up to web-scale!

Performance 149

Performance Hardware Java Storage 149

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

Serverless 241

Serverless Efficiency Lambda Azure 241

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. 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

APRIL 15, 2024

While the benefits of multicloud environments are crucial to agency success, they introduce complexity and overwhelming data volumes that are impossible for humans to manage alone. In contrast, observability enables teams to understand a system’s internal state by analyzing the data it generates, including logs, metrics, and traces.

Infrastructure 201

Infrastructure Efficiency Government Transportation 201

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 220

Operating System Hardware Network Systems 220

Dynatrace

JUNE 29, 2022

Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment.

Infrastructure 175

Infrastructure Cloud Azure AWS 175

Dynatrace

SEPTEMBER 29, 2020

It was on August 25 th at 14:00 when Davis initially alerted on a disk write latency issues to Elastic File System (EFS) on one of our EC2 instances in AWS’s Sydney Data Center. The AWS team confirmed a known hardware issue affecting a certain amount of EC2 machines in that region. Sydney, we have a disk write latency problem!

Infrastructure 177

Infrastructure Cloud Monitoring AWS 177

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream.

Lambda 175

Lambda AWS Serverless Hardware 175

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. Having a suite of tools that can provide summarized metrics for these streaming sessions is critical to the success of Netflix AV1 streaming.

Media 246

Media Open Source Efficiency Software Engineering 246

Dynatrace

SEPTEMBER 15, 2020

In addition to automatic full-stack monitoring, Dynatrace provides comprehensive support for all AWS services that publish metrics to Amazon CloudWatch, providing advanced observability for dynamic hybrid clouds. We’re therefore excited to announce that Dynatrace has received the AWS Outposts Service Ready designation.

AWS 195

AWS Design Cloud Storage 195

Tasktop

MAY 28, 2020

Jim has been instrumental in helping the company to double down on software innovation as a product mindset across complex value streams that straddle both software and hardware. Accelerating with a Software/Hardware Hybrid. The data backed our team’s intuition that that’s where the issues were,” Jim notes.

Speed 52

Speed Metrics Transportation Hardware 52

Dynatrace

MAY 14, 2020

Dynatrace just makes this easy—it comes out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources. . A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. All this automatically and with the same hardware. Your feedback.

Processing 150

Processing Hardware Traffic Storage 150

Dynatrace

NOVEMBER 2, 2023

Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces. Detecting operational errors by elimination is a surefire way to deplete hours-to-deadline.

Cloud 214

Cloud Infrastructure Strategy Hardware 214

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). These metrics help to keep a network system up and running?, Other such metrics include uptime, downtime, number of incidents, time between incidents, and time to respond to and resolve an issue. So, what is MTTR?

DevOps 201

DevOps Artificial Intelligence Metrics Network 201

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 224

Architecture Artificial Intelligence Cloud Open Source 224

Dynatrace

DECEMBER 16, 2021

In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives? Dynatrace provides several ways to ingest data from external data sources. Whether its our Metrics Ingest API or building a Dynatrace Extension. In Dynatrace that’s easy: App Adoption Rate. Availability.

DevOps 197

DevOps Social Media Mobile Metrics 197

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. In general, metrics collectors and providers are most common, followed by log and tracing projects.

Open Source 337

Open Source Java Operating System Programming 337

The Morning Paper

JUNE 25, 2019

Designing far memory data structures: think outside the box Aguilera et al., Last time out we looked at some of the trade-offs between RInKs and LInKs , and the advantages of local in-memory data structures. For many data center applications this looks to me like it could be a compelling future choice. HotOS’19.

Design 80

Design Cache Hardware Scalability 80

Dynatrace

APRIL 21, 2023

The agencies resisted adopting the tool because it required significant time to configure and tune collected metrics into valuable information. Saving budget expenditures with tool rationalization Issues arise when there are multiple, disparate tools collecting data. More tools will lead to more voices saying, “Not my problem.”

Government 156

Government Infrastructure Innovation Monitoring 156

Dynatrace

MAY 1, 2020

The Linux ARM platform —the Linux kernel ported to ARM processor–based machines—is becoming a tempting, cost-effective solution for building microservice-oriented data centers. We understand the dependencies between the mainframe, data center, and cloud, including all application components and even end-user experience. Dynatrace news.

Java 132

Java Hardware Tuning Metrics 132

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

JULY 30, 2020

Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines. Introducing Davis data units (DDUs) for increased flexibility with custom metrics. Hardware requirements updates – “Trial” node category changed to Micro. Requirements on binary data are now increased by 1GB.

Hardware 104

Hardware Java Innovation Metrics 104

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Additionally, large differences in a metric by themselves do not make a metric poor.

Energy 98

Energy Architecture Hardware Metrics 98

Percona

AUGUST 30, 2023

These days, “Data is king,” and a lot more. Data powers everything, and unlike coal and coal combustion, data and databases aren’t going away. Any organization that uses personal and other sensitive data must have a firm, proven plan for business continuity in the event of a disaster or cyberattack.

Database 86

Database Hardware Open Source Strategy 86

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. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 294

Open Source Traffic DevOps Cloud 294

Dynatrace

NOVEMBER 22, 2022

Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. Complicating the situation further, increasingly connected services are pushing more data processing to the edge. Automate IT operations.

Infrastructure 176

Infrastructure Availability Systems Retail 176

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 213

Latency Traffic Transportation Cloud 213

Dynatrace

APRIL 15, 2022

. “This enabled us to fundamentally improve the application, remove performance bottlenecks, and also give us the data we needed to understand how to migrate into the cloud.” ” This allows Dynatrace to present relevant data, in context, for applications and operations — delivering the best observability possible. .

Cloud 171

Cloud Infrastructure Innovation Monitoring 171

Percona

JUNE 22, 2023

Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database. Disk space usage Monitor the disk space usage of MySQL data files, log files, and temporary files.

Performance 102

Performance Monitoring Traffic Database 102

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Percona

NOVEMBER 3, 2023

When it comes to Citus, successfully building out and scaling a PostgreSQL cluster across multiple nodes and even across data centers can feel, at times, to be an art form because there are so many ways of building it out. The following invocation generates almost 4GB of data.

Database 102

Database Benchmarking Latency C++ 102