DZone

JUNE 22, 2023

API performance optimization is the process of improving the speed, scalability, and reliability of APIs. It involves a combination of techniques and best practices aimed at reducing latency, improving user experience, and increasing the overall efficiency of the system. What Is API Performance Optimization?

Scalability 245

Scalability Design Best Practices Performance 245

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. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

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. In this alert, xMatters includes all the important incident information from Dynatrace, so there’s no need for you to visit additional system dashboards. xMatters creates and updates Jira issues.

Systems 176

Systems DevOps Latency Azure 176

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 246

Latency Storage Strategy Metrics 246

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. If system failures occur, teams must resolve them quickly and resolutely.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

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 222

Engineering DevOps Operating System Open Source 222

The Morning Paper

OCTOBER 11, 2020

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. The old ground-initiated command-and-control style systems aren’t going to work for these finer-grained systems.

Systems 125

Systems Latency Architecture Energy 125

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. Latency is the time that it takes a request to be served. Reliability.

Software 259

Software Software Benchmarking Latency 259

Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. availability. Service-level indicators (SLIs).

Best Practices 219

Best Practices DevOps Latency Metrics 219

DZone

AUGUST 16, 2023

Data Must Be Combined The financial data landscape is evolving from standalone to distributed, heterogeneous systems. For example, in this use case scenario, the fintech service provider needs to connect the various transaction processing (TP) systems (MySQL, Oracle, and PostgreSQL) of its partnering banks.

FinTech 130

FinTech Engineering Latency Data Engineering 130

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 243

AWS Efficiency Azure Latency 243

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 210

Efficiency Virtualization Hardware Performance 210

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. There are two major processes which gets executed when a user posts a photo on Instagram. Fetching User Feed. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. They knew a different team supported each step in the process. The “Four Golden Signals” include the following: Latency.

Automotive 267

Automotive Latency Architecture Azure 267

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 252

Engineering DevOps Government Latency 252

Dynatrace

MARCH 16, 2023

Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation. Includes the end user While SLOs for back-end silos and processes help eliminate internal issues, back-end-based objectives tell only half the story.

DevOps 210

DevOps Latency Metrics Traffic 210

All Things Distributed

MARCH 12, 2018

The challenge was that technology wasn't capable of processing real human conversation. The interfaces to our digital system have been dictated by the capabilities of our computer systems—keyboards, mice, graphical interfaces, remotes, and touch screens. People interact with many different applications and systems at work.

Systems 110

Systems AWS Games Transportation 110

Randon ASCII

SEPTEMBER 8, 2019

While CPU Usage (Precise) is great for seeing how much CPU time a process is using, and why it is sitting idle, the CPU Usage (Sampled) table is the right tool for figuring out where CPU time is being spent. Remember that these are calls to the operating system – kernel calls. The next step was to see what RuntimeBroker.exe was doing.

Latency 79

Latency Cache Programming Operating System 79

Scalegrid

NOVEMBER 20, 2019

During this time, you are also likely to experience a degraded performance of queries as your system resources are busy in index-creation work as well. In this blog post, we discuss an approach to optimize the MySQL index creation process in such a way that your regular workload is not impacted. 95th Percentile Latency.

Best Practices 239

Best Practices Latency Tuning Database 239

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

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

ACM Sigarch

MARCH 18, 2019

Computer systems, from the Internet-of-Things devices to datacenters, are complex and optimizing them can enhance capability and save money. Developing simulators, however, is time-consuming and requires a great deal of infrastructure development regarding a prospective system. Answered in Part 2.). Bottleneck Analysis.

Systems 60

Systems Latency Performance Analytics 60

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 198

Artificial Intelligence DevOps Hardware Virtualization 198

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies.

Database 130

Database Network Servers Monitoring 130

Dynatrace

APRIL 7, 2022

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. That’s a large amount of data to handle.

Metrics 203

Metrics Latency Java Cache 203

Dynatrace

SEPTEMBER 23, 2020

Operating Systems are not always set up in the same way. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. As a consequence, the automatic updates as well as the automatic deep-code monitoring injection processes are even more stable.

Storage 146

Storage Latency Operating System Network 146

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.

Lambda 177

Lambda AWS Serverless Hardware 177

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

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 173

Engineering DevOps Government Latency 173

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

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? The scale and the highly distributed systems result in enormous amounts of data. They also care about infrastructure: SREs require system visibility and incident management.

Development 258

Development DevOps Programming Cloud 258

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. 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. Stream Processing: to sample or not to sample trace data?

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

SEPTEMBER 18, 2020

High latency or lack of responses. You receive an alert message from Dynatrace (your infrastructure observability hub) letting you know that the average response latency of all deployed APIs has tripled. This increase is clearly correlated with the increased response latencies. Soaring number of active connections.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

Adrian Cockcroft

JANUARY 29, 2023

There is no way to model how much more traffic you can send to that system before it exceeds it’s SLA. This is unfortunate, because we’d really like to be able to build systems that have an SLA that we can share with the consumers of our interfaces, and be able to measure how well we are doing.

Lambda 98

Lambda Latency Cache Traffic 98

ACM Sigarch

MARCH 25, 2019

How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency? Can one both minimize latency and maximize throughput for unscheduled work? The M/M/1 queue will show us a required trade-off among (a) allowing unscheduled task arrivals, (b) minimizing latency, and (c) maximizing throughput.

Systems 53

Systems Latency Performance C++ 53

Scalegrid

DECEMBER 14, 2023

Having too high of a value here could lead to your application not performing optimally because you are having the system wastefully wait for an unsuccessful attempt at establishing contact again and again which is why testing different values until arriving at one suitable for what your app requires is strongly suggested. x+ in Java).

Java 130

Java Network Servers Database 130