Scalegrid

JUNE 4, 2020

DigitalOcean is a cost-effective cloud provider that caters to, and is widely adopted by the developer community. Along with many popular cloud providers, DigitalOcean also provides a Managed Databases service. Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. Compare Pricing. Instance Type/RAM.

Database 230

Database Latency Benchmarking Performance 230

Dynatrace

SEPTEMBER 30, 2021

More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.

Cloud 164

Cloud Traffic Best Practices Strategy 164

Dynatrace

APRIL 7, 2021

You think you’ve achieved observability through multiple cloud monitoring tools, but they’re fragmented, and teams are siloed, so no one has the context to identify the answers. Every component has its own siloed cloud monitoring tool, with its own set of data. So, what happens next? The blame game.

Cloud 157

Cloud Monitoring Latency Games 157

Scalegrid

OCTOBER 24, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure.

AWS 183

AWS Latency Performance Benchmarking 183

Dynatrace

NOVEMBER 28, 2022

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 223

Lambda AWS Serverless Latency 223

Scalegrid

APRIL 16, 2020

Where you decide to host your cloud databases is a huge decision. You have to choose your hosting model, a cloud provider, and then your primary and standby regions to deploy to. What is ScaleGrid’s Bring Your Own Cloud Plan? Here are the databases and cloud providers supported through each model: Supported Databases.

Cloud 242

Cloud Azure AWS Database 242

High Scalability

SEPTEMBER 1, 2020

Microsoft Azure is one of the most popular cloud providers in the world, and a natural fit for database hosting on applications leveraging Microsoft across their infrastructure. While Microsoft offers their own Azure Database product, there are other alternatives available that may be able to help you improve your MySQL performance.

Azure 137

Azure Database Benchmarking Performance 137

Scalegrid

APRIL 28, 2020

If you’re hosting your databases in the cloud, choosing the right cloud service provider is a significant decision to make for your long-term hosting costs. Comparing Cloud Instance Costs. So, which cloud provider provides the most cost-effective solution for database hosting? High performance. Dedicated Hosting.

Azure 344

Azure AWS Database Latency 344

Dynatrace

MARCH 29, 2024

While Kubernetes is often considered the operating system of the cloud, the scale and complexity of Kubernetes cluster deployments are creating new challenges for IT teams. Consider a sudden drop in performance. “And as the cost is going down, we’re also monitoring to see what’s happening to application performance.”

Engineering 224

Engineering DevOps Operating System Open Source 224

Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

Lambda 214

Lambda AWS Serverless Latency 214

High Scalability

OCTOBER 29, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. ScaleGrid offers a compelling alternative to hosting MySQL on AWS that offers better performance, more control, and no cloud vendor lock-in and the same price as Amazon RDS.

AWS 133

AWS Latency Performance Open Source 133

Dynatrace

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. Growing AI adoption brings rising cloud costs There are three key reasons that AI costs can spiral out of control: AI consumes additional resources. AI performs frequent data transfers.

Strategy 220

Strategy Artificial Intelligence Storage Cloud 220

Dynatrace

MAY 31, 2023

With so many of their transactions occurring online, customers are becoming more demanding, expecting websites and applications to always perform perfectly. Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud.

Best Practices 221

Best Practices DevOps Latency Metrics 221

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

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 105

Efficiency Cloud Healthcare Open Source 105

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., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

Performance 140

Performance Latency Hardware Storage 140

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. 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.

AWS 245

AWS Efficiency Azure Cloud 245

Dynatrace

MAY 13, 2022

This extension provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance.

Azure 235

Azure Latency Metrics Infrastructure 235

Dynatrace

NOVEMBER 10, 2022

As companies accelerate digital transformation, cloud services such as AWS Lambda help companies to modernize their application architectures to quickly adapt to the needs of their customers while offloading the operational complexity to their cloud vendor. The need for a simplified approach to capture telemetry.

Lambda 232

Lambda Serverless AWS Latency 232

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 129

Performance Hardware Tuning Storage 129

Dynatrace

JANUARY 14, 2022

That is because Kubernetes provides several benefits from a performance perspective. However, setting the right parameters for Kubernetes clusters to ensure application availability, performance, and resilience while avoiding overspending isn’t a walk in the park. SREcon21 – Automating Performance Tuning with Machine Learning.

Latency 202

Latency Tuning Efficiency AWS 202

Dynatrace

JUNE 7, 2023

Furthermore, tools like LangChain leverage large language models (LLM) as one of their basic building blocks for creating AI agents (think of AI agents as APIs that perform a series of chat interactions that target a desired outcome) which perform complex and potentially large queries against an LLM like GPT-4.

Monitoring 163

Monitoring Latency Metrics Azure 163

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Service reliability.

Cache 203

Cache Azure Infrastructure Monitoring 203

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Choosing between Redis and Memcached hinges on specific application requirements.

Cache 130

Cache Storage Scalability Architecture 130

InfoQ

JULY 14, 2023

Mei-Chin Tsai, Vinod discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. By Mei-Chin Tsai, Vinod Sridharan

Latency 52

Latency Azure Availability Scalability 52

Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. While this empowers teams to frequently deliver new features, the overall business, security, and quality objectives must be maintained.

DevOps 217

DevOps Latency Traffic Best Practices 217

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. Effortlessly optimize Azure database performance.

Azure 147

Azure Cloud Big Data Virtualization 147

Dynatrace

DECEMBER 4, 2023

AI model observability plays a crucial role in achieving this by addressing these key aspects: Model performance and reliability: Evaluating the model’s ability to provide accurate and timely responses, ensuring stability, and assessing domain-specific semantic accuracy. Maintained under the Apache 2.0

Open Source 256

Open Source Latency Metrics Java 256

The Morning Paper

SEPTEMBER 3, 2019

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., The challenge with strict serializability (or even just serializability on a regular DBMS) is that it requires coordination, and as we know, coordination kills performance. That’s where SLOG (Serializable LOw-latency, Geo-replicated transactions) comes in.

Latency 70

Latency Processing Benchmarking Systems 70

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. “ Observability is about answering questions,” said Laifenfeld. Observability is about answering.”

Development 260

Development DevOps Programming Cloud 260

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

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 primary goal of ITOps is to provide a high-performing, consistent IT environment. So, what is ITOps?

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. Dynatrace and the Nutanix extension provide you with a comprehensive view that spans on-premises, hybrid, and public cloud environments.

Virtualization 191

Virtualization Storage Metrics Monitoring 191

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. And serverless support is a core capability.

Serverless 206

Serverless Lambda Azure AWS 206

The Morning Paper

OCTOBER 4, 2020

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., What is the end-to-end throughput and latency, and where are the bottlenecks? Throughput and latency. 5G network paths achieve an average latency of 21.8ms, a 32% reduction on the comparable 4G times.

Energy 130

Energy Latency Performance Network 130

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.

Serverless 243

Serverless Efficiency Lambda Azure 243

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. Unlike a traditional IT model, however, cloud providers own and manage these resources. Reduced latency. Some organizations prefer a serverless approach.

Serverless 164

Serverless Infrastructure Lambda Latency 164