Dynatrace

MAY 31, 2023

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. There are now many more applications, tools, and infrastructure variables that impact an application’s performance and availability.

Best Practices 216

Best Practices DevOps Latency Metrics 216

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 208

Lambda AWS Serverless Latency 208

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 218

Engineering DevOps Operating System Open Source 218

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. What is Microsoft Hyper-V? Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. Capacity planning Gain insights into resource usage trends and patterns over time.

Efficiency 206

Efficiency Virtualization Hardware Performance 206

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. So, what is ITOps? What is ITOps?

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

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 200

Serverless Lambda Azure AWS 200

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. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

JUNE 7, 2023

Advanced AI applications using OpenAI services don’t just forward user input to OpenAI models; they also require client-side pre- and post-processing. It shows critical SLOs for latency and availability, as well as the most important OpenAI generative AI service metrics, such as response time, error count, and the overall number of requests.

Monitoring 159

Monitoring Latency Metrics Azure 159

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 255

Development DevOps Programming Cloud 255

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content. Data entering a stream.

Lambda 175

Lambda AWS Serverless Hardware 175

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

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130

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

Dynatrace

AUGUST 27, 2019

In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization in five easy steps. Step 1 – Let Dynatrace analyze your infrastructure health in real-time. Step 2 – xMatters passes Dynatrace data to alerts that provide actionable responses.

Systems 176

Systems Latency DevOps Azure 176

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. What is cloud migration?

Cloud 160

Cloud Traffic Best Practices Strategy 160

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. This makes Dynatrace a critically important enablement platform.

Software 164

Software Software Programming Metrics 164

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache 251

Cache Latency Airlines Logistics 251

The Netflix TechBlog

NOVEMBER 17, 2022

Encoding drastically reduces the amount of video data that needs to be streamed to your device, by leveraging spatial and temporal redundancies that exist in a video. A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). One of the key advantages of DEM is its versatility.

Monitoring 196

Monitoring Social Media IoT Metrics 196

Adrian Cockcroft

JANUARY 29, 2023

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

Lambda 98

Lambda Latency Cache C++ 98

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Latency 63

Latency Analytics Scalability Engineering 63

The Morning Paper

OCTOBER 11, 2020

In the bent pipe architecture a satellite gathers and stores data until it is near a ground station, and then transmits whatever it has. hours from capture to receipt of data. A ground station with a 200 Mbit/s downlink datarate can retrieve up to to 15GB of data during a ten minute session. This results in delays of up to 5.5

Systems 125

Systems Latency Architecture Energy 125

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

ScaleOut Software

APRIL 6, 2021

This new software model enables applications to easily analyze telemetry from individual data sources in 1-3 milliseconds while maintaining state information about data sources that deepens introspection. This gives users all of the capabilities of the ScaleOut Digital Twin Streaming Service with complete infrastructure control.

IoT 52

IoT Azure Analytics Healthcare 52

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. To address these challenges and countless others like them, we need autonomous, deep introspection on incoming data as it arrives and immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 189

DevOps Analytics Airlines Metrics 189

Testsigma

AUGUST 24, 2020

Continuous Testing is the process of testing at all stages of software development – one after the another- without any human intervention. Lack of Testing Infrastructure: Often, organizations embark on the path of embracing Continuous Testing, without realizing the budgetary needs for it. Introduction. Let’s check: i.

Testing 69

Testing Open Source Scalability Latency 69

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Morning Paper

FEBRUARY 23, 2020

The Web provides decentralised publishing and direct access to unstructured data ( searching / querying that data has turned out to be a pretty centralised affair in practice though). AnyLog wants to do for structured (relational) data what the Web has done for unstructured data, with coordinators playing the role of search engines.

Blockchain 94

Blockchain Internet Internet IoT 94

CSS Wizardry

OCTOBER 27, 2018

Simply knowing the different forms of performance testing that we have available to us, and where they sit in the product development process, makes it much easier for businesses to adopt a performance strategy and keep on top of things. Each have their own time, place, purpose, focus, and audience.

Performance Testing 172

Performance Testing Testing Performance Strategy 172