Dynatrace

MAY 13, 2022

It also removes the need for developers and database administrators to manage infrastructure or update database versions. Once you deploy the Dynatrace extension, Dynatrace ingests your Cassandra metrics and analyzes them in context with the entire stack. Provide a foundation for calculating metrics in dashboard charts.

Azure 234

Azure Latency Metrics Infrastructure 234

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Service-level objectives (SLOs).

Best Practices 219

Best Practices DevOps Latency Metrics 219

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. By integrating Nutanix metrics into Dynatrace, you can gain valuable insights into the performance and health of your Nutanix infrastructure.

Virtualization 189

Virtualization Storage Metrics Monitoring 189

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 168

Metrics Monitoring Database Network 168

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. The network latency between cluster nodes should be around 10 ms or less. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios.

Availability 244

Availability Hardware Latency Traffic 244

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Despite being serverless, the function still requires infrastructure on which to run. What is a Lambda serverless function? Return larger payload sizes.

Lambda 212

Lambda AWS Serverless Latency 212

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

MARCH 29, 2024

Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details. ” The Dynatrace Kubernetes app also provides process ownership data, ensuring information is directed to the right team and root causes are addressed. ” Data supports those declarations.

Engineering 222

Engineering DevOps Operating System Open Source 222

Dynatrace

APRIL 25, 2023

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 203

Serverless Lambda Azure AWS 203

CSS Wizardry

OCTOBER 16, 2023

Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. When we talk about downloading files, we—generally speaking—have two things to consider: latency and bandwidth. It gets worse.

Cache 291

Cache Latency Strategy Speed 291

Dynatrace

JUNE 7, 2023

This is achieved by using OpenAI services to compute numerical representations of text data that ease the computation of text similarity, called “embeddings,” for the documents as well as for the user input. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 162

Monitoring Latency Metrics Azure 162

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. But not all teams use the same observability data in the same way.

Development 258

Development DevOps Programming Cloud 258

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Note : you might hear the term latency used instead of response time. The Apdex score of 0.85

Latency 174

Latency Website Traffic Virtualization 174

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Note : you might hear the term latency used instead of response time.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

APRIL 6, 2022

Full-stack observability is the ability to determine the state of every endpoint in a distributed IT environment based on its telemetry data. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Why full-stack observability matters.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 243

AWS Efficiency Azure Cloud 243

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Background The Netflix Android app uses the falcor data model and query protocol. For example, the artwork service is separate from the video metadata service, but we need the data from both in the detail key.

Latency 233

Latency Cache Java Traffic 233

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. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. What is ITOps?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

JANUARY 13, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. Real user monitoring collects data on a variety of metrics. For example, data collected on load actions can include navigation start, request start, and speed index metrics.

Monitoring 176

Monitoring Latency Mobile Best Practices 176

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

Monitoring 200

Monitoring Social Media IoT Metrics 200

Dynatrace

JANUARY 26, 2021

When an application is triggered, it can cause latency as the application starts. Cloud-hosted managed services eliminate the minute day-to-day tasks associated with hosting IT infrastructure on-premises. Data usage, request handling, and processing time accumulate. This creates latency when they need to restart.

Serverless 242

Serverless Efficiency Lambda Azure 242

Dynatrace

JUNE 8, 2020

As a software intelligence platform, Dynatrace is woven into the fabric of your business systems, actively managing and providing self-healing capabilities for all aspects of your applications and vital infrastructure. Access your cluster health data in Dynatrace Managed. Currently, only metrics for individual nodes are available.

Software 165

Software Software Programming Metrics 165

Dynatrace

APRIL 5, 2021

Organizations can offload much of the burden of managing app infrastructure and transition many functions to the cloud by going serverless with the help of Lambda. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream. How does AWS Lambda work?

Lambda 178

Lambda AWS Serverless Hardware 178

CSS Wizardry

AUGUST 7, 2019

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. can all provide valuable insights. But what else is TTFB?

Latency 269

Latency Ecommerce Servers Mobile 269

Dynatrace

JULY 24, 2023

Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges. We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes.

DevOps 217

DevOps Traffic Efficiency Servers 217

The Netflix TechBlog

OCTOBER 26, 2021

Subsequent posts will go into more details on experimentation across Netflix, how Netflix has invested in infrastructure to support and scale experimentation, and the importance of the culture of experimentation within Netflix. the difference in metric values between Groups A and B?—?the Simply put, the larger the effect size?—?the

Testing 202

Testing Latency Metrics Innovation 202

Dynatrace

DECEMBER 22, 2021

Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. Observability is made up of three key pillars: metrics, logs, and traces. Traces provide performance data about tasks that are performed by invoking a series of services.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. OneAgent: Citrix infrastructure performance. OneAgent: SAP infrastructure performance.

Latency 117

Latency Performance Virtualization Infrastructure 117

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? For example, if your SLO is to deliver 99.5%

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

OCTOBER 4, 2021

API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. When monitoring, it’s important to track metrics that describe the vital aspects of an application’s performance. RUM is more than a simple data sample. Ways to monitor APIs.

Monitoring 175

Monitoring Latency Metrics Availability 175

The Netflix TechBlog

AUGUST 30, 2021

The Partner Infrastructure team at Netflix provides solutions to support these two significant efforts by enabling device management at scale. Together, they form the Device Management Platform, which is the infrastructural foundation for Netflix Test Studio (NTS).

Latency 213

Latency Traffic Transportation Hardware 213

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This covers everything from tech specs and what you expect from the service to security, how you’ll handle data, and how services will be managed. Each private cloud setup has perks and benefits, especially for handling specific tasks.

Strategy 130

Strategy Cloud Government Innovation 130