Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 209

DevOps Traffic Efficiency Servers 209

Dynatrace

NOVEMBER 23, 2020

Today’s highly dynamic, heterogeneous, and complex software systems require organizations to establish observability for all provided cloud-native services. T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle.

Metrics 150

Metrics Open Source Tuning Analytics 150

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. If your analytics server is down, then each operation will wait for a default of 30 seconds before failing (which may or may not be what you want). Careful consideration must be given before making changes. </p>

Java 130

Java Network Servers Database 130

Dynatrace

FEBRUARY 8, 2021

Putting logs into context with metrics, traces, and the broader application topology enables and improves how companies manage their cloud architectures, platforms and infrastructure, optimizing applications and remediate incidents in a highly efficient way. Leverage log analytics for additional context.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. Observability challenges in serverless applications can be therefore categorized into: Data collection : how to collect metrics, logs and traces from serverless functions efficiently, reliably, and consistently?

Serverless 196

Serverless Lambda Azure AWS 196

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Immutable infrastructure. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Real-user monitoring (RUM). Endpoints can be physical (i.e.,

Monitoring 192

Monitoring Social Media IoT Metrics 192

Percona

NOVEMBER 2, 2023

Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. Introduction of clustered collections for optimized analytical queries. In MongoDB 6.x:

Best Practices 85

Best Practices Hardware Tuning Scalability 85

Dynatrace

NOVEMBER 24, 2020

To bring higher-quality information to Well-Architected Reviews and to establish a strategic advanced observability solution to support the Well-Architected Framework 5-pillars, Dynatrace offers a fully automated, software intelligence platform powered by Artificial Intelligence. Stay tuned. AWS 5-pillars.

AWS 141

AWS Artificial Intelligence Best Practices Lambda 141

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Dynatrace news. What are quality gates? Using quality gates for measurable impacts. The value of fixing issues up-front.

Benchmarking 173

Benchmarking Latency Speed Software 173

The Netflix TechBlog

JULY 20, 2020

Stanislav Kirdey , William High Imagine having to go through 2.5GB of log entries from a failed software build?—?3 We became especially interested in investigating the special benefits that transfer learning and fine-tuning might bring to the application. 3 million lines?—?to It’s probably not even doable manually!

Development 177

Development Open Source Tuning Network 177

Dynatrace

SEPTEMBER 29, 2021

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Watch webinar now! Networking.

Open Source 290

Open Source Traffic DevOps Cloud 290

Percona

AUGUST 17, 2023

PostgreSQL is open source relational database management software. It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. What is PostgreSQL used for?

Open Source 77

Open Source Healthcare Social Media Database 77

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. – Robert Trueman, Head of Software Engineering at CDL. Actionable analytics across the?entire stay tuned?for entire stack,?including

Lambda 198

Lambda Serverless AWS Mobile 198

Dynatrace

MAY 15, 2020

For Federal, State and Local agencies to take full advantage of the agility and responsiveness of a DevOps approach to the software lifecycle, Security must also play an integral role across lifecycle stages. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.

Government 215

Government DevOps Infrastructure Network 215

The Netflix TechBlog

OCTOBER 19, 2020

We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

DECEMBER 8, 2020

The new module extend s our Software Intelligence Platform to modern cloud Runtime Application Self-Protection ( RASP ) use cases from the beginning and will extend to further use-cases over time. . One single platform drives efficient DevSecOps collaboration and automated vulnerability management.

Cloud 280

Cloud Open Source Internet Internet 280

Dynatrace

DECEMBER 9, 2020

Our customers are increasingly transitioning to agile software development, DevOps, and progressive continuous delivery to deliver business value faster. The flip side of speeding up delivery, however, is that each software release comes with the risk of impacting your goals of availability, performance, or any business KPIs.

Metrics 147

Metrics Engineering Google Monitoring 147

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. It can be used to power new analytics, insight, and product features.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly Software

APRIL 4, 2018

Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. Determine requirements first. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

HammerDB

FEBRUARY 25, 2021

This post explains why HammerDB made the language decisions it made to make it the best performing and most usable database benchmarking software. The benchmarking software simulates the actions of multiple individual users and these users must run in parallel to test the MVCC (Multiversion Concurrency Control) capabilities of the database.

Programming 67

Programming Benchmarking Virtualization C++ 67

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, in various use cases.

Processing 210

Processing Big Data Efficiency Engineering 210

High Scalability

NOVEMBER 25, 2019

Version7 (Future): Move all compute to the public cloud, carve out more services for impact isolation, dynamic resource pooling to manage pets and cattle efficiently. For permissions data, we have rearchitected that layer many times and recently we wrote a TRIE to cache this efficiently. Do you implement web analytics?

Architecture 52

Architecture Cache Azure Storage 52

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. They will simply be part of the environment in which software developers work. (We’ll say more about this later.)

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

O'Reilly

OCTOBER 11, 2022

meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment. These changes sound like something that we’ve often talked about in software development: continuous integration and continuous delivery. But the gain in efficiency would be relatively small.

Games 120

Games Healthcare Processing Retail 120

The Netflix TechBlog

MARCH 7, 2019

In order to produce software that improves a scientist’s productivity we have come up with the following design principles. To help, we provide software autonomy for data scientists by focusing on composition, a design principle popular in data science software like ggplot2 and dplyr [ 2 ].

Design 174

Design Engineering Innovation Java 174