Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions.

Analytics 194

Analytics Infrastructure Efficiency Technology 194

DZone

AUGUST 18, 2023

Edge data platforms are software solutions that enable businesses to collect, process, and analyze data at the edge of the network. By processing data at the edge of the network, latency can be minimized, which means that data can be processed and analyzed faster. What Are Edge Data Platforms?

IoT 130

IoT Media Latency Storage 130

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. Based on those insights, they implemented automated validation tasks, and shifted left in their software delivery pipeline. What’s next?

DevOps 180

DevOps Traffic Latency Best Practices 180

The Netflix TechBlog

MAY 4, 2023

Utilizing cloned real traffic, we can exercise the diversity of inputs from a wide range of devices and device application software versions in production. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. You can ask for the best configuration to reduce latency or improve the user experience.” It’s using 1.5 cores, but only 0.2

Engineering 219

Engineering DevOps Operating System Open Source 219

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 250

Engineering DevOps Government Latency 250

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. Return larger payload sizes.

Lambda 209

Lambda AWS Serverless Latency 209

Dynatrace

SEPTEMBER 13, 2023

In this blog post, we’ll demonstrate how Dynatrace automation and the Dynatrace Site Reliability Guardian can help you implement your applications according to all six AWS Well-Architected pillars by integrating them into your software development lifecycle (SDLC).

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

JULY 18, 2023

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. As software development grows more complex, managing components using an automated onboarding process becomes increasingly important.

Best Practices 183

Best Practices Code Infrastructure Latency 183

Dynatrace

MAY 19, 2022

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs? Saturation.

Automotive 264

Automotive Latency Architecture Azure 264

High Scalability

JANUARY 11, 2022

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334

Design Media Storage Logistics 334

Dynatrace

SEPTEMBER 18, 2020

In response to this trend, open source communities birthed new companies like WSO2 (of course, industry giants like Google, IBM, Software AG, and Tibco are also competing for a piece of the API management cake). High latency or lack of responses. This increase is clearly correlated with the increased response latencies.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

Dynatrace

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 177

Benchmarking Latency Speed Software 177

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 170

Engineering DevOps Government Latency 170

The Netflix TechBlog

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Data Sharding strategy in elasticsearch is updated to provide low search latency (as described in blog post) Design of new Cassandra reverse indices to support different sets of queries.

Media 237

Media Traffic Processing Design 237

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Dynatrace enables teams to specify SLOs, such as latency, uptime, availability, and more. A breakpoint won’t stop your program but will collect local variables, stack trace, process metrics, etc.,

Development 255

Development DevOps Programming Cloud 255

Dynatrace

OCTOBER 23, 2023

Determining the root cause of these issues can be difficult when the underlying “hardware” is a virtualization software stack rather than a bare-metal server. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 207

Efficiency Virtualization Hardware Performance 207

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy.

Latency 213

Latency Traffic Transportation Cloud 213

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. We use metaflow.Table to resolve all input shards which are distributed to Metaflow tasks which are responsible for processing terabytes of data collectively.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

SEPTEMBER 23, 2020

This is why the Dynatrace Software Intelligence Platform is recognized as a market leader not only for monitoring coverage, but also, very importantly, for providing the shortest time-to-value. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds.

Storage 145

Storage Latency Operating System Network 145

Dynatrace

FEBRUARY 2, 2022

Architecting service-level objectives (SLOs) , along with service-level agreements and service-level indicators, is a great way for teams to evaluate and measure software performance that stays within error budgets. service availability with <50ms latency for an application with no revenue impact. But there are SLO pitfalls.

DevOps 189

DevOps Metrics Best Practices Latency 189

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. But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks.

Lambda 176

Lambda AWS Serverless Hardware 176

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

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

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. The Dynatrace all-in-one software intelligence platform gives your team real-time visibility into your underlying infrastructure —be it on bare metal, VMware, OpenStack, AWS, Azure, or a hybrid solution.

Systems 176

Systems DevOps Latency Azure 176

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. Higher latency and cold start issues due to the initialization time of the functions. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

Serverless 200

Serverless Lambda Azure AWS 200

Scalegrid

DECEMBER 14, 2023

All these steps should be tailored based on application requirements to ensure smooth running operations from timeouts caused due to bad connections or dropped sockets with separate limits defined for each type of situation faced within the MongoDB configuration process. x+ in Java). Modifying this setting does affect performance.

Java 130

Java Network Servers Database 130

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. The process started with manual pull of member account information that was part of the session.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Morning Paper

OCTOBER 11, 2020

Satellites are going to have to take responsibility for more decisions on their own, without waiting for commands from a ground station, and they’re going to have to do more onboard processing of data to make better use of the limited downlink bandwidth. Formation flying, and formation processing. Computing on the edge with cote.

Systems 125

Systems Latency Architecture Energy 125

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

Percona

NOVEMBER 2, 2023

Upgrading to the newest release of MongoDB is the key to unlocking its full potential, but it’s not as simple as clicking a button; it requires meticulous planning, precise execution, and a deep understanding of the upgrade process. We walk you through the essential steps required.

Best Practices 85

Best Practices Hardware Tuning Scalability 85

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 196

Monitoring Social Media IoT Metrics 196

Brendan Gregg

JULY 2, 2021

E.g., to see process execution with timestamps using execsnoop(8): # execsnoop-bpfcc -T. Low frequency events such as process execution should be negligible to capture. execsnoop New processes (via exec(2)) table. biolatency Disk I/O latency histogram heat map. runqlat CPU scheduler latency heat map.

Latency 145

Latency Cache Energy Systems 145

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210