Dynatrace

OCTOBER 25, 2022

Mike Gualtieri of Forrester Research, who coined the term NoOps , once said in his blog post, “NoOps means that application developers will never have to speak with an operations professional again.”. Early implementations of NoOps were just ‘lift and shift’ efforts that replicated existing systems to the cloud. Evolution of NoOps.

DevOps 217

DevOps Big Data Cloud Innovation 217

Dynatrace

JULY 6, 2022

While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Right Sizing is in progress and will be covered with more details in a dedicated technical blog post later. Stay tuned.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data. Learn more.

Cloud 186

Cloud DevOps Open Source Retail 186

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. Like the development and design phases, these applications generate massive data volumes that offer relevant and actionable insights.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

AUGUST 10, 2021

And, they got the chance to do just that at our recent event, DynatraceGo, which I’ll tell you a bit more about in this blog. She dispelled the myth that more big data equals better decisions, higher profits, or more customers. Investing in data is easy but using it is really hard”. DynatraceGo! DynatraceGo!

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

OCTOBER 4, 2022

Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data. Grail addresses today’s challenges of big data and cloud everywhere: Grail is highly scalable, cost-effective, and super-fast.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

MARCH 14, 2022

Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

Dynatrace

SEPTEMBER 9, 2019

I love data. I have spent virtually my entire career looking at data. Synthetic data, network data, system data, and the list goes on. As much as I love data, data is cold, it lacks emotion. I still love data, but I am starting to love emotion-filled data. Dynatrace news.

Big Data 148

Big Data Metrics Virtualization Monitoring 148

All Things Distributed

FEBRUARY 23, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Free at Last - A Fully Self-Sustained Blog Running in Amazon S3. In a follow up to the last blog post I have removed the last two dependencies this blog had on running a server somewhere: comments are now served by Disqus and search is now handled by Bing.

AWS 78

AWS Storage Big Data Servers 78

Dynatrace

MARCH 11, 2021

It’s been a while since my last blog article on managing Dynatrace Managed at scale. In the fourth part of the series, I’ll show you how I used Dynatrace’s raw problem and event data to find the best fit for optimized anomaly detection settings. I took a big-data-analysis approach, which started with another problem visualization.

Tuning 263

Tuning Architecture Monitoring Big Data 263

Dynatrace

SEPTEMBER 15, 2020

I sat down with Stefano to answer the incoming questions offline and now using the rest of the blog to bring those answers to you: Q1: What type of technologies does Akamas support? Supported technologies include cloud services, big data, databases, OS, containers, and application runtimes like the JVM.

Performance 185

Performance Java Metrics Cloud 185

Dynatrace

JUNE 29, 2022

A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid environments provide more options for storing and analyzing ever-growing volumes of big data and for deploying digital services.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” This contrasts stochastic AIOps approaches that use probability models to infer the state of systems. What is AIOps?

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

The Netflix TechBlog

OCTOBER 15, 2019

Another issue exists for the capture of schema changes, where some systems, like MySQL, don’t support transactional schema changes [1][2]. By their nature, they can only rely on the lowest common denominator of participating systems. That system quickly grew very complex and became difficult to maintain. Please stay tuned.

Transportation 192

Transportation Architecture Processing Storage 192

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. appeared first on Dynatrace blog. Download Magic Quadrant. The post What is APM?

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. appeared first on Dynatrace blog. You can download the report here. The post What is Application Performance Monitoring?

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data 98

Big Data Mobile Latency Database 98

Testsigma

SEPTEMBER 8, 2021

In IT, however, the cloud means a lot more than just streaming media on the system. Role management system : Testsigma provides multiple role management systems whereby different people can be assigned various roles and permissions to influence the test scripts. Cloud-based automation testing is a simple concept. Key Features.

Cloud 76

Cloud Testing AWS Testing Tools 76

All Things Distributed

NOVEMBER 12, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Please also visit the AWS developer blog for more great stories from our Australian customers and partners. blog comments powered by Disqus. he posts material that doesnt belong on this blog or on twitter. All Things Distributed. Comments ().

Cloud 117

Cloud AWS Ecommerce Latency 117

All Things Distributed

JULY 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. There are sessions in many different categories: Architecture, Big Data, HPC, Computer & Networking, Storage, Databases, Security, Tools & Languages, Media Sharing & Content Delivery, Managing AWS Resources, Enterprise IT, Mobile, Start-up, and more.

AWS 83

AWS Big Data Media Storage 83

Testsigma

MAY 26, 2021

Repeat with the next test data. Scenario 2: Data Arrays. Example: Travel itinerary/ Flight booking systems. For testing a travel/flight booking system, we would need many permutations and combinations of the test data. Machine learning and Big Data are driving the major industry decisions today.

Testing 70

Testing Healthcare Performance Testing Website 70

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). However, we often hear anecdotes that the number of prospective graduate students applying to computer architecture/systems is small and shrinking. For those of us who pursued computer architecture as a career, this is well understood. Why is that?

Architecture 74

Architecture Open Source Hardware Software Engineering 74

Testsigma

FEBRUARY 12, 2021

The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. of companies invest over US$ 50 million in initiatives such as Artificial Intelligence (AI) and Big Data in 2020, up from 39.7% appeared first on Testsigma Blog. billion in 2016.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. AWS GovCloud (US) will be used by several of these agencies to help them with their Bigger-than-Big-Data needs.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

AUGUST 20, 2012

Werner Vogels weblog on building scalable and robust distributed systems. It requires substantial upfront capital investments in cold data storage systems such as tape robots and tape libraries, then thereâ??s With Amazon Glacier any organization now has access to the same data archiving capabilities as the worldâ??s

Storage 122

Storage Cloud AWS Media 122

All Things Distributed

AUGUST 22, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier. For more hands-on information and to get started right away, see Jeff Barrs posting on the AWS Developer Blog. All Things Distributed.

Cloud 117

Cloud Cache AWS Storage 117

All Things Distributed

JULY 7, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Amazon Import/Export is an important tool for customers to accelerate moving large amounts of data into the AWS storage systems. blog comments powered by Disqus. he posts material that doesnt belong on this blog or on twitter. Comments ().

AWS 96

AWS Cloud Storage Internet 96

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Amazon S3 is much more than just storage; the network and distributed systems infrastructure to ensure that content can be served fast and at high rates without customers impacting each other, is amazing. All Things Distributed. Comments (). at 30,000 feet).

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Please also visit the AWS developer blog for more great stories from our South American customers. blog comments powered by Disqus. he posts material that doesnt belong on this blog or on twitter. Driving down the cost of Big-Data analytics.

AWS 114

AWS Latency Storage Big Data 114

All Things Distributed

SEPTEMBER 29, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Like many folks who started down the path of using real-time micro-blogging services (read: twitter ) the convenience of those platforms has made that sharing happens there instead of on the blogs we (used to) keep. blog comments powered by Disqus.

AWS 69

AWS Storage Big Data Scalability 69

All Things Distributed

JANUARY 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements.

AWS 115

AWS Cloud Java Scalability 115

All Things Distributed

FEBRUARY 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. While cleaning out the digital attic I ran into this drawing that Hugh MacLeod (aka "gapingvoid") made for me in reponse to a storm-in-a-teacup about blogging Amazon. blog comments powered by Disqus. Driving down the cost of Big-Data analytics.

AWS 60

AWS Storage Big Data Scalability 60

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Naming is one of the fundamental concepts in Distributed Systems. By Werner Vogels on 05 December 2010 02:00 PM.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

AUGUST 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The ideal candidate will be someone who has built and ran large scale distributed systems and/or databases. blog comments powered by Disqus. he posts material that doesnt belong on this blog or on twitter. All Things Distributed. Comments ().

AWS 75

AWS Database Storage Scalability 75

All Things Distributed

JUNE 29, 2011

Werner Vogels weblog on building scalable and robust distributed systems. For more details see the announcement , the details pages of the services at [link] , and the posting on the AWS developer blog. blog comments powered by Disqus. he posts material that doesnt belong on this blog or on twitter. Comments ().

AWS 104

AWS Retail Innovation Strategy 104