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 212

Lambda AWS Serverless Latency 212

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. Organizations are realizing the cost savings and management benefits of serverless automation.

Lambda 178

Lambda AWS Serverless Hardware 178

Dynatrace

NOVEMBER 9, 2022

Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . Lift-and-shift cloud migration can create performance problems and security vulnerabilities. . What is serverless computing?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Increased efficiency for Lambda function configurations.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance. Dynatrace can help.

Engineering 252

Engineering DevOps Government Latency 252

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Dynatrace news. What is Azure Functions? The growth of Azure cloud computing.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

NOVEMBER 10, 2022

Although redesigning applications sounds daunting, understanding how these architectures work will enable your organization to reap the performance and cost benefits of cloud hyperscalers. These loosely coupled, lightweight services typically perform a single function and can be chained together into an application. Microservices.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

InfoQ

JUNE 26, 2023

Microsoft has recently unveiled several new features for Azure Cosmos DB to enhance cost efficiency, boost performance, and increase elasticity. These features are burst capacity, hierarchical partition keys, serverless container storage of 1 TB, and priority-based execution. By Steef-Jan Wiggers

Azure 86

Azure Serverless Performance Storage 86

Dynatrace

MAY 23, 2022

Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Hard on DevOps. A significant part of DevOps discipline is effectively working in teams to distribute application and service development. Faster performance. Monolithic architecture cons.

Architecture 192

Architecture DevOps Monitoring Programming 192

Dynatrace

SEPTEMBER 9, 2022

These insights help organizations plan for cloud scalability, performance improvements, and business alignment. Vastly improved performance. Additionally, with an improved deployment model, applications can run faster and perform better. Application performance improvement reduces costs and deployment time.

Strategy 223

Strategy Benchmarking Serverless Infrastructure 223

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance. Dynatrace can help.

Engineering 173

Engineering DevOps Government Latency 173

Dynatrace

SEPTEMBER 13, 2023

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Serverless platforms.

Architecture 196

Architecture Serverless Azure Programming 196

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Performance-wise, long call chains over the network can potentially decrease reliability. Accordingly, applications don’t have to wrestle over shared resources during runtime. Cultural shift.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Performance-wise, long call chains over the network can potentially decrease reliability. Accordingly, applications don’t have to wrestle over shared resources during runtime. Cultural shift.

Architecture 243

Architecture Software Software Development 243

Dynatrace

NOVEMBER 11, 2021

Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021. According to a data from Dimensional Research, 95% of respondents say visibility problems have prompted an application or network performance issue. Why modern observability is different.

AWS 209

AWS Cloud Lambda Azure 209

Dynatrace

NOVEMBER 11, 2022

A common challenge of DevOps teams is they get overwhelmed with too many alerts from their observability tools. DevOps teams don’t need just more noise—they need smarter alerting that is automatic, accurate, and actionable with precise root cause analysis. .” Who performed it? For example: Releases.

DevOps 178

DevOps C++ Serverless Processing 178

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. DevOps is a casket that contains automation as its basic principle. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps?

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Percona

FEBRUARY 24, 2023

Figure 1: PMM Home Dashboard From the Amazon Web Services (AWS) documentation , an instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload and no specification is under-provisioned.

Cloud 121

Cloud Serverless AWS Storage 121

Dynatrace

NOVEMBER 10, 2020

Suddenly, not just DevOps, but infrastructure teams, developers, and operations teams are all challenged to understand how performance problems within applications or cloud services may impact the performance of the overall infrastructure. As a developer, you might use Google Cloud Function for serverless components.

Google 216

Google Cloud Serverless Innovation 216

Dynatrace

APRIL 21, 2022

Analyzing user experience to ensure uniform performance after migration. Performance efficiency. Some principles Microsoft provides across this area include: Choosing the right resources aligned with business goals that can handle the workload’s performance. Understanding resource utilization for cost management.

Azure 184

Azure Monitoring Virtualization Metrics 184

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. In a monitoring scenario, you typically preconfigure dashboards that are meant to alert you to performance issues you expect to see later. But what is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

Dynatrace

JULY 16, 2020

To do that, we need an easy and efficient API access to all of our Dynatrace Environments, without having to create and maintain API access tokens of individual tenants. It wouldn’t scale and it wouldn’t perform either. Highly parallel and performant for any API call and doesn’t introduce much overhead. ? Consolidating the APIs.

Cache 234

Cache Serverless Efficiency Tuning 234

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. This approach is common in transaction-intensive environments in which teams perform the same tasks repetitively.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

OCTOBER 17, 2019

We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. Once the respective teams are on board and ready to follow these principles, the operations processes can be taken to the next level of efficiency.

Code 108

Code Infrastructure DevOps Serverless 108

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. This approach is common in transaction-intensive environments in which teams perform the same tasks repetitively.

Monitoring 195

Monitoring Serverless Programming Speed 195

Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. At RSA 2022 , the theme is Transform.

Strategy 221

Strategy Innovation Cloud Serverless 221

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

NOVEMBER 18, 2019

OPN303 BPF performance analysis (repeats) Learn how Netflix uses eBPF to create powerful performance analysis tools. Software Engineer, AWS Serverless Applications, and Yishai Galatzer, Senior Manager Software Development. Brendan Gregg tours BPF tracing, with open source tools & examples for EC2 instance analysis.

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

OPN303 BPF performance analysis (repeats) Learn how Netflix uses eBPF to create powerful performance analysis tools. Software Engineer, AWS Serverless Applications, and Yishai Galatzer, Senior Manager Software Development. Brendan Gregg tours BPF tracing, with open source tools & examples for EC2 instance analysis.

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

FEBRUARY 13, 2023

It includes a demo of AWS Twinmaker and a discussion of lithium battery production and recycling by Northvolt in Sweden, who are using serverless on AWS to build factories-as-code. DOP315 Sustainability in the cloud with Rust and AWS Graviton  — Emil Lerch AWS Principal DevOps Specialist and Esteban Kuber AWS Principal Software Engineer.

AWS 64

AWS Energy Architecture Programming 64

The Symphonia

JANUARY 21, 2019

we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. CodePipeline can also be more efficient than CodeBuild by itself since it can overlap concurrent executions. We even put CI/CD front and center in our training courses ?—?we

AWS 40

AWS Open Source Lambda Serverless 40

O'Reilly

MAY 19, 2020

Oddly, about 3% of non-adopters cited cost as a primary reason not to move workloads to cloud; cost-efficiency is usually touted as one of cloud’s most attractive features. Even though SRE is less well known than microservices, DevOps, and other topics, it isn’t in any sense new. Serverless Stagnant.

Cloud 141

Cloud Serverless AWS Architecture 141

Smashing Magazine

AUGUST 20, 2021

Ben and Mena Trott created MovableType because of a “Dissatisfacion with existing blog CMSes — performance, stability.” In 2006, Denis Defreyne tried to set up a Ruby-based blog platform and ran into performance problems — “Having a VPS with only 96 MB of RAM, any Ruby-based CMS ran extremely slowly.”

Ecommerce 139

Ecommerce Website Government Internet 139

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. I am yet to find a traditional CMS vendor who can deliver this level of performance on the scale (millions of page views per day). A headless CMS using GraphQL.

Systems 63

Systems Cache Website Network 63