DZone

JULY 11, 2023

Artificial Intelligence: Definition and Practical Applications Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence.

Artificial Intelligence 109

Artificial Intelligence Healthcare Network Transportation 109

Dynatrace

NOVEMBER 14, 2023

The panelists speculated that AI will likely improve quality of life for SRE teams through its ability to efficiently execute tasks. We’ll see lots of different types of impact versus one definitive impact [from generative AI],” she said. This accessibility results in reduced MTTR and improved productivity.

Best Practices 193

Best Practices Engineering DevOps Software Engineering 193

DZone

DECEMBER 28, 2020

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. For example, the gaming app has to present definite actions to bring the right experience. Confirming scalability, dependability, stability, and speed of the app is crucial.

Performance Testing 220

Performance Testing Testing Tools Testing Performance 220

Dynatrace

FEBRUARY 15, 2023

As cloud environments become increasingly ubiquitous, so does the need for effective and efficient management. Lack of standardization: The lack of standardization across tools and technologies makes it difficult to handle automation decisions and actions across different systems.

Cloud 175

Cloud DevOps Code Open Source 175

Dynatrace

NOVEMBER 2, 2020

If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more. What is infrastructure monitoring? .

Infrastructure 202

Infrastructure Monitoring Virtualization Serverless 202

DZone

FEBRUARY 27, 2021

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability.

Java 207

Java C++ Benchmarking Programming 207

Dynatrace

SEPTEMBER 28, 2021

As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. Deployment frequency measures both long-term and short-term efficiency. Mean time to restore service.

DevOps 202

DevOps Metrics Traffic Efficiency 202

The Netflix TechBlog

JULY 30, 2019

Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix. The Netflix Media Database (NMDB) is one such example.

Lambda 189

Lambda Media Open Source Metrics 189

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This starts with a highly efficient ingestion pipeline that supports adding hundreds of petabytes daily. Thus, it can scale massively.

Artificial Intelligence 269

Artificial Intelligence Analytics Storage Architecture 269

Randon ASCII

OCTOBER 1, 2023

In a steady-state process (not allocating excessively) on a system with sufficient memory (this system had 64 GiB of RAM and roughly 47 GiB of that was available) the number of page faults should be close to zero, and this was a long way from that. Every second the system process wakes up and runs KeBalanceSetManager.

Efficiency 98

Efficiency Processing Programming Systems 98

Dynatrace

DECEMBER 6, 2022

Observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. Comprehensive observability eliminates siloed views of the system and establishes a common means to observe, measure, and act on insights. Want to learn more?

DevOps 220

DevOps Metrics Engineering Speed 220

Dynatrace

JUNE 6, 2023

From the foundational Dynatrace platform to today, “We’ve gone from systems thinking to holistic thinking.” One of the main roadblocks that arises with a broader definition for DevOps is responsibility. The product manager should be the person who is bringing operational requirements and acceptance criteria in the system,” he said.

DevOps 163

DevOps Engineering Innovation Best Practices 163

Dynatrace

JUNE 14, 2023

“The historical definition of observability is transforming,” Clayton said. This digital transformation journey requires AI-powered answers and intelligent automation that legacy systems can’t deliver. 2023: The “Year of the Partner” The event started strong with some words from Ken Clayton, SVP, Channels, Dynatrace.

Programming 182

Programming Analytics Innovation Best Practices 182

The Morning Paper

JULY 2, 2019

One SQL to rule them all: an efficient and syntactically idiomatic approach to management of streams and tables Begoli et al., The TVR, by definition, supports the entire suite of relational operators, even in scenarios involving time-varying relational data. The watermark is maintained by the system. SIGMOD’19.

Efficiency 65

Efficiency Processing Benchmarking Open Source 65

Dynatrace

AUGUST 7, 2023

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. But managing the breadth of the vulnerabilities that can put your systems at risk is challenging. By definition, zero-day attacks take organizations by surprise.

DevOps 187

DevOps Analytics Best Practices Java 187

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. Because of its adaptability, Prometheus has become an essential tool for observability engineering.

Metrics 179

Metrics Engineering Energy Tuning 179

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Powerful change streams and support for data definition language operations. Ready to supercharge your MongoDB experience? x: Live resharding of databases for uninterrupted sharded key changes.

Best Practices 88

Best Practices Hardware Tuning Scalability 88

Percona

JULY 25, 2023

So, given a table_id, how do you get the table schema/definition? After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. 28, xtrabackup –prepare is faster and memory efficient with the dictionary cache.

Cache 86

Cache Benchmarking Servers Design 86

Dynatrace

AUGUST 2, 2022

Malicious attackers have gotten increasingly adept at identifying vulnerabilities and launching attacks to exploit these weak points in IT systems. But they also need a better strategy to address these attacks if they have IT systems and live applications that are already compromised.

DevOps 130

DevOps Strategy Open Source Java 130

Percona

SEPTEMBER 27, 2023

DEFAULT ‘on’::text Because we specified ‘2’ for premake in the create_parent function, you can observe that two partitions ahead have been created, as shown in the table definition below. You can set the parameter either by using ALTER SYSTEM or by manually modifying the config file.

Storage 101

Storage Open Source Database Efficiency 101

Dynatrace

MAY 17, 2022

For years, enterprises managed observability data on a team-by-team basis , using a combination of ticketing systems and configuration management tools. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. Flexible automation for Kubernetes observability.

Availability 318

Availability Scalability Cloud Metrics 318

Dynatrace

DECEMBER 9, 2020

Note : We will soon improve the drill-downs to Davis problems directly from existing SLO definitions so that SRE teams can benefit more from the Dynatrace Davis AI engine. Google has a long history of shaping SRE processes for their global-scale services that are dedicated to making their services more scalable, reliable, and efficient.

Metrics 152

Metrics Engineering Google Monitoring 152

DZone

NOVEMBER 9, 2021

nn> MonitoringnnWe (humans) are terrible at imagining all possible permutations of the system with billions and billions of possible states. You may think that you know how the system works. You may think that you know how the system works. In the best case, you know only how the system was designed to work.

Software 245

Software Software Code Energy 245

O'Reilly

JULY 11, 2023

If 20% of your time is spent coding, and AI-based code generation makes you 50% more efficient, then you’re really only getting about 10% of your time back. I’ve seen estimates as high as 80%, but I don’t believe them; I think 25% to 50% is more reasonable. But that best case only saves 20% of a programmer’s time.

Programming 99

Programming Code Design Software 99

Dynatrace

NOVEMBER 8, 2021

Organizations use APM to ensure system availability, optimize service performance and response times, and improve user experiences. G2 Research includes a clear definition of APM in its Grid Report for Application Performance Monitoring for Spring 2021. The Dynatrace approach: APM and beyond.

Artificial Intelligence 233

Artificial Intelligence Monitoring Infrastructure Cloud 233

The Morning Paper

NOVEMBER 30, 2020

use this perspective to create new definitions of isolation levels. And yet, until Crooks all the definitions, including Adya’s , have been based on implementation concerns! Is this system safe (will the application invariants be broken) under snapshot isolation?

Database 61

Database Storage Systems Strategy 61

Dynatrace

MAY 20, 2020

Running metric queries on a subset of entities for live monitoring and system overviews. Every metric has metadata properties that are important for efficiently querying data. Example 2: Query the average Apdex for mobile apps aggregated by app and operating system for the last two hours. Creating customized metric reports.

Metrics 228

Metrics Operating System Tuning Monitoring 228

The Netflix TechBlog

OCTOBER 7, 2021

As we invested in systems to enable this vision, it led to increased development velocity, which arguably led to better development practices and quality of the applications. To be further cost-efficient with the time-series data we store the metrics for a sliding time window of a few weeks and compress it to a 1 minute time granularity.

Metrics 197

Metrics Mobile Testing Strategy 197

Testsigma

MARCH 12, 2021

While it is definitely true that both of these processes automate the process, “what” and “how” of their automation is entirely different. Surprisingly, this definition fits perfectly with RPA by making slight adjustments. The word “automation” seems to be a culprit in this case. Benefits of RPA.

Artificial Intelligence 97

Artificial Intelligence Testing Energy Analytics 97

Dynatrace

OCTOBER 4, 2021

An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. As a result, API monitoring has become a must for DevOps teams. So what is API monitoring?

Monitoring 179

Monitoring Latency Metrics Availability 179

Percona

SEPTEMBER 1, 2023

Additionally, they enable the implementation of sophisticated business logic within the database, streamlining repetitive tasks and enhancing overall efficiency. This can affect the overall performance of your database system, potentially leading to slower response times. What are the limitations of MySQL Triggers?

Cache 61

Cache Database Games Healthcare 61

The Agile Manager

NOVEMBER 30, 2015

[T]he aim of such systems is ultimately to produce themselves: their own organization and identity is their most important product. -- Gareth Morgan, Images of Organization , p. They are self-referential because a system cannot enter into interactions that are not specified in the pattern of relations that define its organization. -- Ibid, p.

Systems 45

Systems Storage Programming Infrastructure 45

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media 90

Social Media Monitoring Latency DevOps 90

Tasktop

AUGUST 18, 2022

“The software delivery efficiency of [enterprise IT organizations] is abysmal when compared to that of digital startups or the tech giants”. Most are burdened by legacy IT systems and the infamous waterfall project management model. Definition of value . Definition of value. Team organization . Customer centricity .

Software 52

Software Software Metrics Speed 52

Percona

DECEMBER 14, 2022

System space is at a premium i.e. it’s worth your while to manage space utilization as much as possible. But while eminently capable of performing OLAP, it’s not quite as efficient. And if the query processes 100 million rows, that’s definitely not trivial! size should at a minimum be in the tens of GB. it does well.

Database 93

Database Analytics Storage Processing 93

Percona

AUGUST 30, 2023

Without data backup mechanisms, there can be data loss or system downtime. Even worse, entire operating systems can crash, also resulting in data loss. Data consistency: Verify that data consistency between the primary and secondary systems will exist after recovery. Similarly, accidental deletion is a culprit.

Database 88

Database Hardware Open Source Strategy 88

Randon ASCII

OCTOBER 4, 2020

First, a bit of operating-system design context. Ideally the CPU goes to sleep when Sleep(1) is called, in order to save power, so how does the operating system (OS) wake your thread if the CPU is sleeping? If multiple threads can synchronize or coalesce their timer waits then the system becomes more power efficient.

Programming 145

Programming Games Hardware Operating System 145