Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

130

130

Dynatrace

FEBRUARY 1, 2024

The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies. This approach provides an immediate understanding of how entities such as hosts, processes, and their associated relationships contribute to the identified issue.

Infrastructure 180

Infrastructure Metrics Network Monitoring 180

Dynatrace

OCTOBER 10, 2023

In this blog post, we’ll delve deeper into these categories to gain a comprehensive understanding of their significance and the challenges they present. Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient.

Engineering 225

Engineering DevOps Innovation Strategy 225

Dynatrace

AUGUST 28, 2023

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand.

Retail 201

Retail Logistics Innovation Analytics 201

The Netflix TechBlog

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

MARCH 29, 2024

At every organization, the digital landscape is evolving rapidly, presenting IT operations teams with unique challenges. As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. The first use case Reitbauer presented outlines a developer who hears from the database team that a problem might be occurring with the database.

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

MARCH 27, 2024

Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. How to efficiently introduce team ownerships Dynatrace provides different ways of associating team ownership with entities and adding desired team metadata, such as contact details, to your environments.

Best Practices 198

Best Practices Azure Database Code 198

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Both can result in lost productivity for IT teams and staff in the field.

Government 202

Government Infrastructure Programming Cloud 202

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. All these contribute significantly towards ensuring smooth functioning.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

MAY 2, 2024

At this year’s RSA conference, taking place in San Francisco from May 6-9, presenters will explore ideas such as redefining security in the age of AI. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. ’ and ‘How compliant are we?

Artificial Intelligence 228

Artificial Intelligence Cloud Best Practices DevOps 228

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 254

Engineering DevOps Government Latency 254

The Netflix TechBlog

NOVEMBER 11, 2022

We present a systematic overview of the unexpected streaming behaviors together with a set of model-based and data-driven anomaly detection strategies to identify them. Streaming Platforms Commercial streaming platforms shown in Figure 1 mainly rely on Digital Rights Management (DRM) systems.

C++ 312

C++ Metrics Tuning Strategy 312

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 214

Analytics Storage Retail Monitoring 214

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work.

Monitoring 198

Monitoring Serverless Programming Speed 198

The Netflix TechBlog

NOVEMBER 29, 2023

We present two sets. On the other hand, the optimized ladder presents a sharper increase in quality with increasing bitrate. This is achieved by more efficiently spacing the ladder points, especially in the high-bitrate region. Shown below are rate versus quality examples for a couple of titles from our HDR catalog.

Open Source 252

Open Source Software Engineering Internet Internet 252

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 180

Analytics Storage Retail Monitoring 180

Scalegrid

JANUARY 9, 2024

As more and more enterprises incorporate cloud-based systems, ensuring their security becomes a key concern. The selection process for a suitable cloud provider is crucial as it involves aligning business objectives, regulatory requirements, and current technological infrastructure with strong cloud security measures.

Strategy 130

Strategy Cloud Best Practices Government 130

Scalegrid

DECEMBER 14, 2023

For example, if there’s some trouble connecting due to networking problems or excessive load requests from customers present on the server’s side, that might result in a resolution-related delay causing a subsequent timeout problem. x+ in Java). Modifying this setting does affect performance.

Java 130

Java Network Servers Database 130

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 175

Engineering DevOps Government Latency 175

Dynatrace

JANUARY 16, 2020

In part one, we began our discussion about intellectual debt by pointing out how machine learning systems contribute to the widening gap between what works and our understanding of why it works. Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency.

Cloud 156

Cloud Artificial Intelligence Virtualization Efficiency 156

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience.

Serverless 206

Serverless Lambda Azure AWS 206

Dynatrace

OCTOBER 14, 2022

Achieving this from a typical enterprise’s various apps, systems, and configurations is the beginning of the observability journey and, therefore, critical to get right. OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules. Host group.

Storage 226

Storage Government Network Infrastructure 226

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JULY 25, 2022

When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. Automate cloud operations and trigger remediation workflow to enhance efficiency. A feature that enables you to present log data in a filterable table that is easy to work with. Why Dynatrace?

AWS 217

AWS Transportation Network Traffic 217

Dynatrace

JULY 9, 2019

This month we’re presenting ZigiWave – the company behind ZigiOps, the software that allows enterprises to share relevant data seamlessly between their management systems. Expanding IT systems can lead to extreme data management challenges and major headaches for any organization. The ZigiWave & Dynatrace partnership.

DevOps 164

DevOps Scalability Systems Technology 164

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success.

Best Practices 87

Best Practices Hardware Tuning Scalability 87

The Netflix TechBlog

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the last section, we will attempt to feed your curiosity by presenting a set of opportunities that will drive our next wave of impact for Netflix.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

APRIL 30, 2021

But because of the complexity involved in executing and analyzing test results of dynamic systems, performance engineering is difficult to scale — especially with lean staff or resources. How can organizations address this process bottleneck and run more tests in less time? Four ways you can turbocharge performance testing.

Engineering 199

Engineering Testing Performance Performance Testing 199

Smashing Magazine

OCTOBER 15, 2021

The reason we pay so much attention to design (as we do to any other detail in the process of project completion) is that it plays one of the crucial roles in your business success. That happens when your app/website/system is efficient. On design systems, CSS/JS and UX. And memorable. And easy to understand.

Design 113

Design Website Efficiency Games 113

Dynatrace

DECEMBER 16, 2019

Commonly applied to development processes, technical debt accrues overtime when we choose an inefficient path of least resistance. Even small amounts of technical debt compound as new code branches from old, further embedding the shortcomings into the system. Technical Debt—Dilbert Comic Strip on 2017-01-03.

Artificial Intelligence 148

Artificial Intelligence Traffic Efficiency Innovation 148

Percona

SEPTEMBER 28, 2023

This file is present in /proc/$pid/oom_score_adj. You can add a sizable negative score to this file to ensure that OOM killer is less likely to pick up and terminate your process. On the other hand, if you assign 1000 to it, the Linux kernel will keep killing the process even when it uses minimal memory.

Servers 112

Servers Best Practices Database Open Source 112

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. After all, it’s key to sample and store traces efficiently while not missing out on important events.

AWS 211

AWS Strategy Storage Metrics 211