Dynatrace

SEPTEMBER 29, 2020

The AWS team confirmed a known hardware issue affecting a certain amount of EC2 machines in that region. The fast action by our ACE Team that followed up with AWS and the fast replacement of hardware by AWS brought the system back to its original state shortly after the investigation began.

Infrastructure 259

Infrastructure Cloud Monitoring AWS 259

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. “We

AWS 275

AWS Design Cloud Storage 275

Dynatrace

NOVEMBER 20, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Disk measurements with per-disk resolution.

Availability 43

Availability Hardware Java Tuning 43

Dynatrace

MAY 14, 2020

A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. This means that you’ll receive better answers from Dynatrace Davis and capture even more high-fidelity data as your hardware will be used optimally based on the newly improved ALR algorithm. Impact on disk space.

Processing 234

Processing Hardware Traffic Storage 234

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Dynatrace news. Self-contained turnkey solution.

Availability 264

Availability Hardware Latency Traffic 264

Dynatrace

JULY 11, 2024

They’ve gone from just maintaining their organization’s hardware and software to becoming an essential function for meeting strategic business objectives. Often, these metrics are unable to even identify trends from past to present, never mind helping teams to predict future trends. Business observability is emerging as the answer.

Monitoring 264

Monitoring Retail Energy Cloud 264

Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. As a bonus, operations staff never needs to update operating systems or hardware, because AWS manages servers with no stoppage of application functionality. How does AWS Lambda work? Optimizing Lambda for performance.

Lambda 258

Lambda AWS Serverless Hardware 258

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 246

Serverless Efficiency Lambda AWS 246

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 299

Open Source Hardware DevOps Infrastructure 299

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

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 276

DevOps Artificial Intelligence Metrics Network 276

Scalegrid

FEBRUARY 24, 2025

Metrics and Statistics Monitoring the performance of a RabbitMQ cluster is crucial for maintaining its efficiency and reliability. RabbitMQ provides a wealth of metrics and statistics that offer insights into various aspects of the clusters performance.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

Dynatrace

DECEMBER 8, 2021

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. Serverless functions typically run on hyperscale clouds and so there’s no hardware to manage.

Cloud 246

Cloud Serverless Hardware Operating System 246

Dynatrace

AUGUST 26, 2020

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! I’d like to stress the lean approach to hardware that our customers require for running Dynatrace Managed. Optimal metric storage management strategy.

Performance 191

Performance Hardware Java Storage 191

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

AUGUST 29, 2024

As businesses increasingly embrace these technologies, integrating IoT metrics with advanced observability solutions like Dynatrace becomes essential to gaining additional business value through end-to-end observability. Both methods allow you to ingest and process raw data and metrics.

IoT 264

IoT Analytics Transportation Metrics 264

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

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Although modern cloud systems simplify tasks, such as deploying apps and provisioning new hardware and servers, hybrid cloud and multicloud environments are often complex.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

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 246

Infrastructure Cloud Azure AWS 246

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Disk measurements with per-disk resolution.

Availability 34

Availability Hardware Java Tuning 34

Dynatrace

DECEMBER 16, 2021

In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives? Whether its our Metrics Ingest API or building a Dynatrace Extension. For our SLO the only thing we need is the default Mobile Crash Rate metric. In Dynatrace that’s easy: App Adoption Rate. App Rating.

DevOps 246

DevOps Social Media Mobile Metrics 246

Speed Curve

JANUARY 27, 2025

This is a potential cause for concern for anyone who cares about metrics like Largest Contentful Paint, which measures the largest visual element on a page – including videos. Given that Google continues to dominate search usage, you should care about Vitals alongside the other metrics you should be tracking. More on that below.)

Mobile 97

Mobile Best Practices Google Metrics 97

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 Software Engineering Efficiency 246

Dynatrace

MAY 1, 2020

This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint. Host performance is tracked via high-level health metrics with details for each host (these appear on your home dashboard by default).

Java 182

Java Hardware Metrics Tuning 182

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. Such decisions must be attainable with little to no developer involvement in surfacing traces, metrics, and logs.

Google 269

Google Engineering Metrics Hardware 269

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 334

Open Source Traffic DevOps Cloud 334

High Scalability

FEBRUARY 22, 2019

2% : of sales spent by consumer packaged goods companies on R&D (14% for tech); 272 million : metric tons of plastic are produced each year around the globe; 100+ fp s: Google's Edge TPU; 6,000 : bugs per million lines of code; 2.2 It has 39 mostly 5 star reviews. They'll learn a lot and love you forever.

Internet 39

Internet Internet Scalability Lambda 39

DZone

APRIL 30, 2020

" I was in the search for a straightforward tool that shows me hardware "VM" metrics and allows me to check the logs without ssh into the VM and ideally tool should be Open Source.

Monitoring 165

Monitoring Servers Open Source Hardware 165

The Netflix TechBlog

JANUARY 13, 2022

Troubleshooting these problems is not a trivial task and requires collecting logs and metrics from several different systems and analyzing them to identify the root cause. This has led to a dramatic reduction in the time it takes to detect issues in hardware or bugs in recently rolled out data platform software.

Big Data 242

Big Data Infrastructure Metrics Hardware 242

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. In-depth, AI-driven metrics can help to manage this simplicity. Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. Don’t double up on functions.

Development 279

Development Serverless Best Practices Lambda 279

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. In general, metrics collectors and providers are most common, followed by log and tracing projects.

Open Source 358

Open Source Java Operating System Programming 358

CSS Wizardry

AUGUST 7, 2019

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). can all provide valuable insights.

Latency 270

Latency Ecommerce Servers Mobile 270

Dynatrace

JUNE 3, 2019

As the UFO is an Open Hardware & Open Source project , we’ve had people create their own UFOs in order to visualize stage or progress within their organization. Going Beyond Pipeline Metrics with the Dynatrace UFO.

DevOps 42

DevOps Open Source Hardware Mobile 42

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

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 189

Architecture Availability Infrastructure Metrics 189

The Netflix TechBlog

FEBRUARY 13, 2020

There is a potential benefit in reusing the hardware in place for video compression/decompression. Image decoding in hardware may not be a primary motivator, given the peculiarities of OS dependent UI composition, and architectural implications of moving uncompressed image pixels around.

Code 220

Code Metrics Open Source Efficiency 220

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. One example is the Spectator Python client library, a library for instrumenting code to record dimensional time series metrics. It serves as an entry point into any new analysis.

Open Source 280

Open Source Network Infrastructure Big Data 280