Simform

JUNE 28, 2022

CI/CD processes can be tricky to implement if you don't have a strategy to overcome different challenges. Organizations face cost management, security integrations, automation, and performance consistency challenges. Here is a six-step strategy for your CI/CD processes to overcome different implementation challenges.

Efficiency 52

Efficiency Processing Strategy Technology 52

Percona

MAY 1, 2023

This blog was originally published in August 2018 and was updated in May 2023. In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload.

Tuning 52

Tuning Efficiency Database Performance 52

Dynatrace

MARCH 29, 2024

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. AI innovation elevates efficiency and performance of Google Cloud AI adoption is increasingly critical for any organization.

Google 258

Google Innovation Cloud Analytics 258

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

NOVEMBER 9, 2023

Service-level objectives play a vital role in ensuring that all stakeholders have visibility into the resources being used and the performance of the applications. However, they can also be used to monitor optimization processes effectively. Efficient coordination among resource usage, requests, and allocation is critical.

Efficiency 270

Efficiency Monitoring Best Practices Open Source 270

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. What is causal AI?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

FEBRUARY 1, 2024

The adoption process takes time and consideration. The complexity and numerous moving parts of Kubernetes multicloud clusters mean that when monitoring the health of these clusters—which is critical for ensuring reliable and efficient operation of the application—platform engineers often find themselves without an easy and efficient solution.

Engineering 260

Engineering Efficiency Azure Monitoring 260

Dynatrace

APRIL 10, 2020

In my last blog I covered how our Engineering Productivity (EP) and Infrastructure & Services (IAS) Teams are ensuring that our DevOps tool chain is running as expected, even while workloads have shifted as our global engineering teams are now working from home. Dynatrace news.

Java 253

Java Performance DevOps Engineering 253

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation.

Artificial Intelligence 226

Artificial Intelligence Cloud Best Practices DevOps 226

The Netflix TechBlog

MARCH 4, 2024

In this blog post, we present our project on Auto Remediation, which integrates the currently used rule-based classifier with an ML service and aims to automatically remediate failed jobs without human intervention. In this way, no human intervention is required in the remediation process. Multi-objective optimizations.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 200

DevOps Metrics Engineering Analytics 200

Dynatrace

APRIL 30, 2021

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). How can organizations address this process bottleneck and run more tests in less time?

Engineering 197

Engineering Testing Performance Performance Testing 197

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 243

AWS Efficiency Azure Cloud 243

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 106

Performance Monitoring Traffic Database 106

Dynatrace

NOVEMBER 28, 2023

In the previous installment of this blog series , we explored how to set up Dynatrace as a build-stage orchestrator to effectively address the challenges faced by Site Reliability Engineers (SREs). This proactive approach proves instrumental in anticipating and mitigating potential performance issues before they result in adverse impacts.

Traffic 259

Traffic Best Practices Strategy Engineering 259

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing.

Tuning 244

Tuning Processing C++ Efficiency 244

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

AUGUST 26, 2020

We’re continuously investing in performance optimizations, high availability, and resilience for Dynatrace Managed deployments. Dynatrace Managed metric storage management is reliable and delivers high performance. Unlike our competition, Dynatrace Managed processes all the data sent by OneAgent without sampling.

Performance 150

Performance Hardware Java Storage 150

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

APRIL 19, 2024

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. However, this process can become tedious with hundreds of thousands of events flooding in daily.

AWS 216

AWS Analytics Cloud Monitoring 216

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. SRE applies software engineering principles to operations and infrastructure processes. Unpacking the purpose and importance of an IT cultural revolution – blog.

DevOps 194

DevOps Best Practices Innovation Strategy 194

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 blog originally appeared in Federal News Network.

Government 187

Government Strategy Best Practices Website 187

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?

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

NOVEMBER 2, 2023

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. But according to the 2023 DevOps Automation Pulse , only 56% of end-to-end DevOps processes are automated. Organizations with underdeveloped automation can face detrimental consequences.

DevOps 201

DevOps Benchmarking Azure Innovation 201

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130

Metrics Monitoring Latency Cache 130

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. This blog wil cover the importance of platform engineering, the role of a platform engineer, and where the practice is heading in the future. Why is platform engineering important?

Engineering 208

Engineering DevOps Software Engineering Scalability 208

Dynatrace

JANUARY 5, 2023

As the globe strides into 2023 — with rapid change and macroeconomic uncertainty looming — organizations want tools and technologies that enable them to become more efficient, reduce costs, and innovate more. In its most basic form, IT automation executes scripts or processes on a schedule or in response to particular events.

Artificial Intelligence 147

Artificial Intelligence Innovation Technology Technology 147

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. APM can also be referred to as: Application performance management. Performance monitoring. Dynatrace news. Application monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 201

Cache Azure Infrastructure Monitoring 201

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. At a glance – TLDR. The Greenplum Architecture. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

As a result, we created Grail with three different building blocks, each serving a special duty: Ingest and process. Ingest and process with Grail. This starts with a highly efficient ingestion pipeline that supports adding hundreds of petabytes daily. High-performance analytics—no indexing required. Retain data.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. The ProRes codec family provides great editing performance and image quality.

Cloud 237

Cloud Media Storage Cache 237

Testsigma

SEPTEMBER 28, 2021

However, the process of analyzing and selecting the thousands of device, OS, and browser combinations requires time, expertise, and effort too. Test automation is required to perform this whole process efficiently and repeatedly. There are multiple entities that are participating in a single process. When to test?

Efficiency 71

Efficiency Testing Testing Tools Website 71

Alex Russell

JANUARY 30, 2024

The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. Until and unless teams have better data about their performance, the global baseline budget should be enforced.

Performance 90

Performance Network Mobile Speed 90

The Netflix TechBlog

NOVEMBER 17, 2022

In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs. How do we apply neural networks at scale efficiently?

Network 292

Network Media Innovation Efficiency 292

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Dynatrace

JANUARY 13, 2022

More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. At Dynatrace Perform, the annual software intelligence platform conference, we will highlight new integrations that eliminate toolchain silos, tame complexity, and automate DevOps practices.

DevOps 264

DevOps Speed Artificial Intelligence Innovation 264