Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Cold storage and rehydration.

Analytics 181

Analytics Storage Retail Monitoring 181

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

Dynatrace

AUGUST 28, 2020

Fully automated observability into your Azure multi-cloud environment. You can integrate Dynatrace with Azure for intelligent monitoring of services running in Azure Cloud. Azure Data Lake Storage Gen1. Simplify cloud operations with full visibility into your Azure Automation accounts. Azure Logic Apps. Azure Event Grid.

Azure 155

Azure Cloud Tuning Monitoring 155

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

Dynatrace

JULY 25, 2022

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. Dynatrace is a leader in cloud observability. Automate cloud operations and trigger remediation workflow to enhance efficiency. What is AWS Transit Gateway? Why Dynatrace?

AWS 218

AWS Transportation Network Traffic 218

Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? s storage infrastructure.

Storage 115

Storage AWS Virtualization Cloud 115

Testsigma

JULY 3, 2021

But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. Lollipop and 6.0

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

DECEMBER 16, 2021

As the most widely used logging framework on the internet, Apache Log4j 2 is integrated into myriad applications, used on major cloud services such as Apple, Google, Microsoft and Cloudflare, as well as platforms like Twitter and Stream. How Log4j 2 can be exploited depends on the specifics of the affected system.

Internet 260

Internet Internet Games Java 260

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book. Ford, et al., “TCP

Performance 140

Performance Latency Hardware Storage 140

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. To improve their alerting system, the team decided to move to SLO/SLI-based alerting, which require deeper knowledge of the application but are more helpful than generalized metric alerts. Dynatrace news.

AWS 212

AWS Strategy Storage Metrics 212

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. EM gives visibility into the user device and performance from the endpoint to provide information on CPU, memory, operating systems, storage, security, networks, and whether software is up to date.

Monitoring 203

Monitoring Social Media IoT Metrics 203

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error.

Performance 54

Performance Benchmarking Cache Storage 54

Adrian Cockcroft

APRIL 18, 2018

In reality, in any non-trivial installation, there are multiple tools collecting, storing and displaying overlapping sets of metrics from many types of systems and different levels of abstraction. For each resource there’s usually an underlying or bare metal version, a virtualized resource and sometimes also a containerized resource.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

JULY 19, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Expanding The Cloud â?? AWS customers are bringing their most demanding workloads onto the cloud. With PV virtualization we are seeing between 10,000 and 85,000 IOPS for 4k random writes and with HVM between 9,000 and 75,000. Comments ().

Cloud 129

Cloud Performance AWS Virtualization 129

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. To improve their alerting system, the team decided to move to SLO/SLI-based alerting, which require deeper knowledge of the application but are more helpful than generalized metric alerts. Dynatrace news.

AWS 147

AWS Strategy Storage Metrics 147

DZone

JULY 19, 2023

To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. Enel migrated its legacy IT systems to a hybrid cloud model. billion by 2025.

Virtualization 130

Virtualization Scalability Energy Cloud 130

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. Lastly, the packager kicks in, adding a system layer to the asset, making it ready to be consumed by the clients.

Cloud 237

Cloud Media Storage Cache 237

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book. Ford, et al., “TCP

Performance 52

Performance Latency Hardware Storage 52

The Morning Paper

FEBRUARY 18, 2020

ML learning systems combine the characteristics of software, e.g. the need for CI/CD pipelines, and of data, e.g. the need to track lineage. Compared to web-scale platform use of ML, enterprise applications tend to be built by smaller teams with deeper domain expertise, but less deep algorithmic or systems expertise. Three big bets.

Government 95

Government Software Engineering Storage Database 95

Tasktop

MAY 17, 2021

Regardless of market or industry, the popular management system for setting organizational goals—harnessed so successfully by the major digital innovators —is helping enterprises adapt to all the disruption that 2020 and 2021 have served up. . The ability to measure the flow of value and surface system bottlenecks. Organizational OKRs.

DevOps 59

DevOps Metrics Innovation Storage 59

Adrian Cockcroft

JUNE 21, 2022

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else. as a result there were product and messaging changes.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 221

Google Cloud Serverless Azure 221

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. Each dimension has progressed through these stages: 1.

Virtualization 111

Virtualization AWS Hardware Storage 111

HammerDB

DECEMBER 5, 2020

Even with superior I/O performance today the I/O configuration required on-premise or in the cloud remains costly. Over time since we first ran HammerDB workloads we noticed that the CPU generation to generation performance ratios between systems was the same with this CPU intensive default mode as the official published TPC-C benchmarks.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Brendan Gregg

DECEMBER 31, 2017

A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work. Virtual Memory. File System. Storage I/O. echo tsc > /sys/devices/system/clocksource/clocksource0/current_clocksource.

Tuning 61

Tuning AWS Best Practices Network 61

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. portability between cloud and on-premises. faster access to external storage and data locality (I/O, bandwidth). Storage provisioning.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Brendan Gregg

DECEMBER 30, 2017

A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work. Virtual Memory. File System. Storage I/O. echo tsc > /sys/devices/system/clocksource/clocksource0/current_clocksource.

Tuning 52

Tuning AWS Best Practices Network 52

DZone

MAY 22, 2019

However, Hive cannot access a single table directly using a single query with the data of this Hive table across different mediums of storage and different clusters. In this regard, data will always reside in the under-storage system as the source of truth and can be residing temporarily in the Alluxio file system.

Storage 100

Storage Systems Virtualization Cloud 100

Percona

DECEMBER 20, 2018

We’ll note how some of the Linux parameter settings used OS tuning may vary according to different system types: physical, virtual or cloud. 10TB+) on AWS EC2, you can increase performance and save a significant amount of money by moving to local SSD (NVMe) instance storage. Fsync Performance on Storage Devices.

Database 41

Database Tuning Performance AWS 41