Dynatrace

OCTOBER 10, 2023

EdgeConnect facilitates seamless interaction, ensuring data security and operational efficiency. In this hybrid world, IT and business processes often span across a blend of on-premises and SaaS systems, making standardization and automation necessary for efficiency.

Systems 222

Systems Efficiency Internet Internet 222

Official Blog - World Web Technology

DECEMBER 4, 2023

How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC is an essential framework for the total software development process as it aids in managing software development projects effectively.

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Processing Software Software Development 64

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246

Cache Scalability Performance Latency 246

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 249

AWS Efficiency Azure Cloud 249

Dynatrace

MARCH 27, 2024

Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. Keeping ownership teams and their properties up to date is essential, as is having the right contact information available when needed. Dynatrace offers several ways to ingest ownership team information.

Best Practices 201

Best Practices Azure Database Code 201

Dynatrace

MAY 3, 2024

Their job is to find out the root cause of any SLO violations, ensure visibility into the application landscape to fix problems efficiently and minimize production costs by reducing errors. Follow the instructions available in Dynatrace documentation to allow proper access and configure Firehose settings.

Cloud 187

Cloud Lambda AWS Analytics 187

Dynatrace

NOVEMBER 9, 2023

However, they can also be used to monitor optimization processes effectively. Efficient coordination among resource usage, requests, and allocation is critical. As every container has defined requests for CPU and memory, these indicators are well-suited for efficiency monitoring.

Efficiency 276

Efficiency Monitoring Best Practices Open Source 276

The Netflix TechBlog

MARCH 5, 2024

We have several frameworks that periodically refresh large amounts of on-heap data to avoid external service calls for efficiency. Reference processing is also only performed in major collections with ZGC. Operational simplicity Service owners often reach out to us with questions about excessive pause times and for help with tuning.

Latency 228

Latency Java Tuning Efficiency 228

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

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Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. Organizations need to incorporate IT automation into their processes to take action on the data they gather. Greifeneder noted.

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Innovation DevOps Cloud Efficiency 200

Edge Perspectives

MARCH 26, 2019

In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”

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Efficiency Scalability Innovation Programming 89

Dynatrace

DECEMBER 21, 2023

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. This computational efficiency also reduces energy consumption, which in turn reduces carbon emissions. A PUE of 1.0 Want to learn more?

Cloud 211

Cloud Energy Best Practices Cache 211

Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. The engineer can efficiently access this data via a natural language query in a CoPilot Notebook: “Summarize all MITRE security events of the last 72 hours.”

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188

Dynatrace

FEBRUARY 1, 2024

The Infrastructure & Operations app provides a comprehensive overview for effective prioritization The new Infrastructure & Operations app provides situational awareness to help ops and SRE teams group and categorize problems efficiently based on their impact. Host technologies in use with status information and links to processes.

Infrastructure 183

Infrastructure Metrics Network Monitoring 183

Dynatrace

MARCH 14, 2024

From mobile applications to websites, government services must be accessible, available, and performant for those who rely on them. For example, an employee might not have the tools to efficiently retrieve data about a customer as they work to solve an issue. This could lead to frustration on both sides and create negative experiences.

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Government Strategy Best Practices Website 193

Dynatrace

NOVEMBER 6, 2023

Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. These dynamics orchestrate a multifaceted overhaul of the business terrain, including processes and operations, and require teams to explore new approaches.

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Azure Analytics Artificial Intelligence Innovation 182

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. This enables efficient resource allocation, avoiding unnecessary expenses and ensuring optimal performance. This data-driven approach fosters continuous refinement of processes and systems. Proactive resource allocation.

Artificial Intelligence 265

Artificial Intelligence DevOps Analytics Engineering 265

Dynatrace

FEBRUARY 28, 2024

VAPO is available in both Microsoft Azure and AWS. It’s helping us build applications more efficiently and faster and get them in front of veterans.” This is a continuous process,” Fuqua said. “It’s an enterprise product that we use to help modernize the VA,” Fuqua said.

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Monitoring Artificial Intelligence Performance Healthcare 185

Dynatrace

NOVEMBER 3, 2023

Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries. These components are specific, predefined resources, such as libraries and templates, that are made available to all developers using the platform.

Engineering 214

Engineering DevOps Software Engineering Scalability 214

Dynatrace

NOVEMBER 6, 2023

Recently, the Parliament of India released the Digital Personal Data Protection Act 2023 , which regulates the processing of digital personal data in India and recognizes the right of individuals to protect their data in India. An overview of how to upgrade to Dynatrace is available in our guide, Upgrade to Dynatrace SaaS.

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AWS Azure Tuning Analytics 240

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

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DevOps Metrics Engineering Analytics 205

Dynatrace

JANUARY 31, 2024

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. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 206

Cache Azure Infrastructure Monitoring 206

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.

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Big Data Processing Lambda Database 154

Dynatrace

MARCH 18, 2024

Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. This includes spot instances such as unused cloud capacity that’s available at a discounted price. On-demand payment is the most expensive pricing option. Suboptimal architecture design.

Best Practices 235

Best Practices Strategy Cloud AWS 235

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

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Data Engineering Engineering Processing Games 264

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. The result is increased efficiency, reduced operating costs, and enhanced productivity. Automate DevSecOps processes at scale. Software is behind most of our human and business interactions.

Software 190

Software Software Analytics Big Data 190

Dynatrace

OCTOBER 19, 2023

Assuming the responsibility and taking the initiative to instill effective cybersecurity practices now will yield benefits in terms of enhanced productivity and efficiency for your organization in the future. This approach helps organizations deliver more secure software and infrastructure with greater efficiency and speed.

Best Practices 211

Best Practices Benchmarking Speed Infrastructure 211

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

DZone

FEBRUARY 3, 2022

Doing so will transform a business into a well-oiled machine where every cog performs with maximum efficiency. Having a poor employee retention rate is expensive, but trying to find the right candidate is a time-consuming process.

Efficiency 244

Efficiency Availability Systems Processing 244

DZone

OCTOBER 25, 2021

The goal of Levels of Testing is to make software testing more structured and efficient, as well as to make it easier to identify all available test cases and test scenarios at a given level. All of these steps go through the software testing process's tiers of testing.

Software 246

Software Software Testing Efficiency 246

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

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.

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Metrics Monitoring Latency Cache 130

Dynatrace

JANUARY 4, 2024

Improving data quality is a strategic process that involves all organizational members who create and use data. High-quality operational data in a central data lakehouse that is available for instant analytics is often teams’ preferred way to get consistent and accurate answers and insights. How can organizations improve data quality?

Government 202

Government Analytics Benchmarking Storage 202

Dynatrace

FEBRUARY 21, 2024

Open vulnerability on process group: The total number of currently high-profile vulnerabilities related to a process group. Vulnerability score: The highest vulnerability risk score for a process group. This way, the travel agency can easily streamline, organize, and consolidate their quality gates and metric evaluation process.

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Speed Software Software Latency 209

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. Getting security right in a multi-cloud setup means doing a few key things.

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Strategy Cloud Government Innovation 130

The Netflix TechBlog

MARCH 7, 2024

These integrations are implemented through Metaflow’s extension mechanism which is publicly available but subject to change, and hence not a part of Metaflow’s stable API yet. 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.

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Systems Media Cache Open Source 226