Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. 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.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

JUNE 1, 2023

These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% of the time.

Latency 171

Latency Website Traffic Virtualization 171

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

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 256

Software Software Benchmarking Latency 256

Dynatrace

JUNE 1, 2023

These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% of the time.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

FEBRUARY 15, 2023

Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems.

DevOps 211

DevOps Latency Traffic Best Practices 211

Dynatrace

AUGUST 25, 2023

These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. SLOs, as a measure of service quality, can track the related availability, reliability, and performance. This is what Dynatrace captures as response time.

Performance 168

Performance Latency Traffic Metrics 168

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 240

AWS Efficiency Azure Cloud 240

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 CubeSat form-factor limits what can be packed into the device and how much power is available.

Systems 125

Systems Latency Architecture Energy 125

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

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 206

Efficiency Virtualization Hardware Performance 206

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

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 199

Cache Azure Infrastructure Monitoring 199

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 249

Engineering DevOps Government Latency 249

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. What are SLOs? A world of misunderstandings.

Automotive 263

Automotive Latency Architecture Azure 263

Scalegrid

MARCH 28, 2024

Redis can be configured to optimally utilize both RDB and AOF persistence methods optimally, achieving a balance between speed and data safety while minimizing the impact on response times due to its child process handling for disk writes. High data availability is achieved. Scalable reads across multiple instances are possible.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 189

DevOps Analytics Airlines Metrics 189

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. I won’t cover all the features but show just enough that you’ll want to see more of what you can learn to accomplish for yourself.

Database 104

Database Benchmarking Latency C++ 104

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 207

DevOps Latency Metrics Traffic 207

Dynatrace

MAY 17, 2023

For that, we focused on OpenTelemetry as the underlying technology and showed how you can use the available SDKs and libraries to instrument applications across different languages and platforms. We’d like to get deeper insight into the host, the underlying operating system, and any third-party services used by our application.

Metrics 166

Metrics Monitoring Database Network 166

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 200

Metrics Latency Java Cache 200

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” 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.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The provider is essentially your system administrator.

Serverless 241

Serverless Efficiency Lambda Azure 241

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

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 170

Engineering DevOps Government Latency 170

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

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

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 145

Storage Latency Operating System Network 145

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

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 255

Development DevOps Programming Cloud 255

Percona

APRIL 13, 2023

PostgreSQL is a popular open source relational database management system that is widely used for storing and managing data. In PostgreSQL, replication lag can occur due to various reasons such as network latency, slow disk I/O, long-running transactions, etc. What is replication lag?

Latency 81

Latency Tuning Open Source Network 81

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 175

Lambda AWS Serverless Hardware 175

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

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 130

Metrics Latency Java Cache 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 130

Metrics Latency Java Cache 130