Dynatrace

JANUARY 17, 2024

Growing AI adoption brings rising cloud costs There are three key reasons that AI costs can spiral out of control: AI consumes additional resources. Running artificial intelligence models and querying data requires massive amounts of computational resources in the cloud, which results in higher cloud costs. Use containerization.

Strategy 222

Strategy Artificial Intelligence Storage Cloud 222

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. The difference is the owner of the Lambda function does not have to worry about provisioning and managing servers. Return larger payload sizes.

Lambda 215

Lambda AWS Serverless Latency 215

Percona

NOVEMBER 9, 2023

You may already be using it daily and find it makes running applications in the cloud much more manageable. It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. It has become the industry standard for cloud-native container orchestration.

Efficiency 104

Efficiency Cloud Healthcare Open Source 104

Scalegrid

MARCH 28, 2024

can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Managed DBaaS solutions like ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. However, not all cloud strategies are the same. Despite the name, serverless computing still uses servers. Unlike a traditional IT model, however, cloud providers own and manage these resources.

Serverless 165

Serverless Infrastructure Lambda Latency 165

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. What are serverless applications?

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. However, cloud complexity has made software delivery challenging. Visibility and automation are two of the most important SRE tools.

Best Practices 223

Best Practices DevOps Latency Metrics 223

Dynatrace

JUNE 7, 2023

One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability. With these latency, reliability, and cost measurements in place, your operations team can now define their own OpenAI dashboards and SLOs.

Monitoring 164

Monitoring Latency Metrics Azure 164

The Morning Paper

OCTOBER 26, 2020

Helios: hyperscale indexing for the cloud & edge , Potharaju et al., Cloud-native systems represent by far the largest, most distributed, computing systems in our history. And the established cloud-native architectural principles behind them aren’t changing here. PVLDB’20. Emphasis mine ). Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

Dynatrace

DECEMBER 4, 2023

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy.

Open Source 258

Open Source Latency Metrics Java 258

The Morning Paper

SEPTEMBER 3, 2019

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., That’s where SLOG (Serializable LOw-latency, Geo-replicated transactions) comes in. Within a region there is a local input log maintained across multiple servers using Paxos. VLDB’19. in the paper for details on how migrations are made safe).

Latency 70

Latency Processing Systems Benchmarking 70

The Morning Paper

JANUARY 30, 2020

Seamless offloading of web app computations from mobile device to edge clouds via HTML5 web worker migration , Jeong et al., Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. As such, web workers are a natural target to offload to a more powerful server.

Mobile 104

Mobile Cloud Latency Games 104

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. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Dynatrace news. Deeper visibility and more precise answers.

Azure 147

Azure Cloud Big Data Virtualization 147

Dynatrace

SEPTEMBER 18, 2020

It’s cliched to say that cloud adoption has changed everything in this race, but a full understanding of the intricacies of cloud-native applications is still rare. Cloud-based application architectures commonly leverage microservices. High latency or lack of responses. Soaring number of active connections.

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage. Pay Per Use.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

JANUARY 31, 2024

Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Worse, the costs associated with GenAI aren’t straightforward, are often multi-layered, and can be five times higher than traditional cloud services. Service reliability.

Cache 204

Cache Azure Infrastructure Monitoring 204

The Morning Paper

NOVEMBER 15, 2020

Achieving 100 Gbps intrusion prevention on a single server , Zhao et al., So while scale out has seen the majority of attention in the cloud era, it’s good to remind ourselves periodically just what we really can do on a single box or even a single thread. This makes the whole system latency sensitive. OSDI’20.

Servers 128

Servers Hardware Latency Design 128

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? The Amazon Web Services ecosystem.

Lambda 180

Lambda AWS Serverless Hardware 180

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 231

DevOps Innovation Infrastructure Analytics 231

Scalegrid

DECEMBER 16, 2019

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

Dynatrace

MAY 19, 2022

In their new dashboard, they added dimensions for load, latency, and open problems for each component. The “Four Golden Signals” include the following: Latency. This refers to the load on your network and servers. For example, one dashboard is broken down by cloud hosting provider. Saturation.

Automotive 270

Automotive Latency Architecture Azure 270

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. 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., Ford, et al., “TCP on Upcoming Sapphire Rapids CPUs,” [link] Oct 2020 - [Liu 20] Linda Liu, “Samsung QVO vs EVO vs PRO: What’s the Difference?

Performance 140

Performance Latency Hardware Storage 140

Scalegrid

NOVEMBER 20, 2019

95th Percentile Latency. The 95th percentile latency of queries was also 1.8 times higher when the index creation happened on the master server. The 95th percentile latency of queries was also 1.8 times higher when the index creation happened on the master server. Workload Throughput (Queries Per Second).

Best Practices 239

Best Practices Latency Tuning Database 239

High Scalability

JANUARY 11, 2022

When the server receives a request for an action (post, like etc.) When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. This will not only reduce the overall latency in displaying the user-feeds to users but will also prevent re-computation of user-feeds.

Design 334

Design Media Storage Logistics 334

All Things Distributed

JANUARY 6, 2016

A region in South Korea has been highly requested by companies around the world who want to take full advantage of Korea’s world-leading Internet connectivity and provide their customers with quick, low-latency access to websites, mobile applications, games, SaaS applications, and more.

AWS 110

AWS Cloud Games Latency 110

All Things Distributed

NOVEMBER 13, 2014

At AWS we innovate by listening to and learning from our customers, and one of the things we hear from them is that they want it to be even simpler to run code in the cloud and to connect services together easily. One of the most exciting aspects of Lambda is that it helps you create dynamic, event-driven applications in the cloud.

Lambda 136

Lambda AWS Cloud Scalability 136

All Things Distributed

NOVEMBER 26, 2013

About 5 years ago, I introduced you to AWS Availability Zones, which are distinct locations within a Region that are engineered to be insulated from failures in other Availability Zones and provide inexpensive, low latency network connectivity to other Availability Zones in the same region.

Cloud 145

Cloud AWS Traffic Latency 145

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

Scalegrid

OCTOBER 17, 2019

Using a connection pool in each module is hardly efficient: Even with a relatively small number of modules, and a small pool size in each, you end up with a lot of server processes. You either need an extra server (or 3), or your database server(s) must have enough resources to support a connection pooler, in addition to PostgreSQL.

Architecture 200

Architecture Database Latency Servers 200

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Microservices fundamentally change a lot of assumptions current cloud systems are designed with, and present both opportunities and challenges when optimizing for quality of service (QoS) and utilization.

Open Source 61

Open Source Hardware Benchmarking Systems 61

ACM Sigarch

MAY 31, 2023

Memory disaggregation separates memory pools from traditional server boxes, enabling more flexible resource allocation and potentially reducing costs. Berger (Microsoft) shared the state of memory systems in the public cloud and projected two use cases of CXL-based disaggregated memories in the cloud ( IEEE Micro and ASPLOS’23 ).

Latency 52

Latency Hardware Cache Architecture 52

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Some servers may need a few GBs of RAM, while others may need hundreds of GBs or even terabytes of RAM. Benchmark before you decide. Setting oom_score_adj to -800.

Performance 126

Performance Hardware Tuning Storage 126

Dynatrace

MAY 17, 2023

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. Let’s click “Apache Web Server apache” now. What is OneAgent?

Metrics 171

Metrics Monitoring Database Network 171

The Netflix TechBlog

SEPTEMBER 8, 2020

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON.

Latency 233

Latency Cache Java Traffic 233