Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices.

Network 325

Network Transportation AWS Cloud 325

All Things Distributed

JUNE 20, 2017

Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing). AWS Partner Network (APN) Consulting Partners in Hong Kong help customers migrate to the cloud.

AWS 146

AWS Logistics Cloud Social Media 146

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis.

IoT 78

IoT Analytics Big Data Architecture 78

Scalegrid

MAY 13, 2020

When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Alex Podelko

DECEMBER 19, 2019

. – Performance engineering as it done at Alibaba – which emerging as a major cloud provider. An Evaluation of Cloud-Native Tools by Karen Hughes, BMC. – Looks like cloud-native performance tools mature – it is important to understand what they could do and what you need third-party tools for. a Panel Discussion.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Scalegrid

NOVEMBER 25, 2019

In this post, we break down ScyllaDB cloud vs. on-premise deployments, most popular cloud providers, SQL and NoSQL databases used with ScyllaDB, most time-consuming management tasks, and why you should use ScyllaDB vs. Cassandra. ScyllaDB Cloud vs. ScyllaDB On-Premises. Most Popular Cloud Providers for ScyllaDB.

Big Data 187

Big Data Database Open Source Azure 187

All Things Distributed

SEPTEMBER 29, 2016

Since we opened the first AWS EU Region in Ireland in November 2007, we have seen an acceleration of companies adopting the AWS Cloud. Our teams are helping companies of all sizes, operating in various industries, such as finance, business, media, and many others, move to the cloud.

AWS 166

AWS IoT Internet Internet 166

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

MAY 27, 2015

Technical Presentations: AWS solution architects, product managers, and evangelists deliver technical presentations covering some of the highest-rated and best-attended sessions from recent AWS events. Both the San Francisco loft and the New York City loft have packed calendars with events.

AWS 95

AWS Education Big Data Games 95

All Things Distributed

SEPTEMBER 26, 2014

We’re at 925 Market Street and our doors will be open 10AM to 6PM on weekdays, with select events running until 8PM on weeknights. Be sure to check the calendar regularly as new evening events will be added regularly. What’s Happening at the AWS Loft. AWS Technical Bootcamps.

AWS 111

AWS Games Education Innovation 111

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. This can be time-consuming and bit challenging if you are dealing with hundreds of data sources and thousands of event types.

Big Data 40

Big Data Retail Storage Google 40

All Things Distributed

JULY 3, 2011

Next to customer visits I will take part in a number of events organized by AWS and by our partners. This week in Japan there are three public events planned: July 4 - AWS HPC Night at Fuji Soft Hall in Akihabara. July 5 - Cloud IT Leadership seminar on Business Continuity in partnership with Deloitte. Expanding the Cloud â??

AWS 67

AWS Storage Big Data Cloud 67

O'Reilly

JANUARY 13, 2020

Change is inevitable, and as programming languages continue to lean in to optimization for new trends in the cloud, microservices, big data, and machine learning, each language and its ecosystem will continue to adapt in its own unique way. ” What lies ahead?

Programming 130

Programming Java Google C++ 130

Dynatrace

OCTOBER 25, 2022

But advancements in modern AIOps and cloud automation are now bringing NoOps within reach. Or is it just a passing cloud? Early implementations of NoOps were just ‘lift and shift’ efforts that replicated existing systems to the cloud. For most, the goal of automating everything and eliminating operations has been aspirational.

DevOps 217

DevOps Big Data Cloud Innovation 217

Brendan Gregg

APRIL 30, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. LISA is a vendor-neutral event known for technical depth and rigor, and continues to attract an audience of seasoned professionals. Join us for 3 days in Nashville at LISA'18. Post by Brendan Gregg and Rikki Endsley. Hope to see you in Nashville!

DevOps 43

DevOps Network Best Practices Programming 43

All Things Distributed

SEPTEMBER 30, 2010

Visiting future customers is equally exiting as you get a change to understand their current architecture, if it is a migration, and how they plan to exploit cloud services in their new setup. It is equally important to give customers advice about which applications you think should not move to the cloud or at least not yet.

AWS 75

AWS Storage Cloud Best Practices 75

SQL Server According to Bob

FEBRUARY 15, 2018

I have the blessed opportunity to speak at many customer events. Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. Saturday Sessions.

Engineering 40

Engineering Azure Best Practices Servers 40

Brendan Gregg

APRIL 29, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. LISA is a vendor-neutral event known for technical depth and rigor, and continues to attract an audience of seasoned professionals. Join us for 3 days in Nashville at LISA'18. Post by Brendan Gregg and Rikki Endsley. Hope to see you in Nashville!

DevOps 40

DevOps Network Best Practices Programming 40

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. Improved time management and event prioritization. Maximum ROI on all hybrid cloud technologies. What is AIOps, and how does it work?

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Further, business leaders must often determine whether the data is relevant for the business and if they can afford it.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

The Morning Paper

OCTOBER 26, 2020

Helios: hyperscale indexing for the cloud & edge , Potharaju et al., On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. Cloud-native systems represent by far the largest, most distributed, computing systems in our history. PVLDB’20.

Cloud 104

Cloud Big Data Latency Architecture 104

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. CloudOps includes processes such as incident management and event management. AIOps use cases. CloudOps: Applying AIOps to multicloud operations.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

The Netflix TechBlog

MAY 26, 2020

Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems.

Network 150

Network Tuning AWS Big Data 150

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Scalegrid

MARCH 28, 2024

Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses. Data transfer technology. </p>

Cache 130

Cache Storage Scalability Architecture 130

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.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

FEBRUARY 16, 2023

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Kubernetes makes spans longer,” Ortner explains.

Analytics 186

Analytics Innovation Metrics Database 186

Testsigma

SEPTEMBER 8, 2021

Cloud-based technologies are on a rise today. Even if I deviate a bit from core IT fundamentals, the pandemic of 2021 made cloud tech a hero. It taught us how just an easy monthly subscription can give us access to thousands of movies, games, and live events such as the Tokyo Olympics via streaming.

Cloud 76

Cloud Testing AWS Testing Tools 76

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. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability. DynatraceGo! DynatraceGo!

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

JUNE 1, 2020

You probably think applications including websites, mobile apps, and business apps may seem simple in the way they’re used, but they are actually highly complex; made up of millions of lines of code, hundreds of interconnected digital services, all hosted across multiple cloud services. Advanced Cloud Observability.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

The Netflix TechBlog

MARCH 25, 2019

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Data Enrichment The lineage data, when enriched with entity metadata and associated relationships, become more valuable to deliver on a rich set of business cases.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

Dynatrace

JUNE 1, 2020

You probably think applications including websites, mobile apps, and business apps may seem simple in the way they’re used, but they are actually highly complex; made up of millions of lines of code, hundreds of interconnected digital services, all hosted across multiple cloud services. Advanced Cloud Observability.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. There are several emerging data trends that will define the future of ETL in 2018. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

The Morning Paper

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. Autoscaling tiered cloud storage in Anna. This VLDB’19 paper describes “ how we extended a distributed key-value store called Anna into an autoscaling, multi-tier service for the cloud.”

Blockchain 46

Blockchain Hardware Google Analytics 46