Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 214

Lambda AWS Serverless Latency 214

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

OCTOBER 8, 2020

We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. This means, you don’t need to change even a single line of code in the serverless functions themselves. Dynatrace news. and Python via traces.

Lambda 283

Lambda AWS Programming Serverless 283

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. The FaaS model of cloud computing debuted in 2014 with startups like hook.io.

Development 239

Development Serverless Best Practices Lambda 239

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 challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS: A service for everything. Amazon EC2.

Best Practices 200

Best Practices AWS Monitoring Serverless 200

Dotcom-Montior

NOVEMBER 11, 2020

Serverless. Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Benefits of a Serverless Model. Scalability.

Serverless 57

Serverless Monitoring Lambda Latency 57

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. What is AWS Lambda? The Amazon Web Services ecosystem. How does AWS Lambda work?

Lambda 173

Lambda AWS Serverless Hardware 173

Dynatrace

NOVEMBER 17, 2020

New cloud-native technologies make observability more important than ever…. Every tap in a mobile app triggers requests that, potentially, travel through a myriad of microservices, routed from one service to the next by service meshes, calling several serverless functions. This is where Dynatrace comes into play.

Analytics 151

Analytics Technology Technology Cloud 151

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. As demand has increased and applications have spread out into containerized and multi-cloud environments, organizations needed a more agile way of architecting and developing apps.

Architecture 246

Architecture Software Software Development 246

Dynatrace

SEPTEMBER 9, 2022

Application modernization centers on bringing monolithic, on-premises applications — which IT teams usually update and maintain with waterfall development processes — into cloud architecture and release patterns. These insights help organizations plan for cloud scalability, performance improvements, and business alignment.

Strategy 215

Strategy Benchmarking Serverless Infrastructure 215

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. As demand has increased and applications have spread out into containerized and multi-cloud environments, organizations needed a more agile way of architecting and developing apps.

Architecture 241

Architecture Software Software Development 241

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 245

Analytics Open Source Serverless Architecture 245

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless platforms. Monitoring and alerting tools and protocols help simplify observability for all custom metrics.

Architecture 189

Architecture Serverless Azure Programming 189

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. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 177

Analytics Infrastructure Storage Efficiency 177

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Limited data availability constrains value creation.

Analytics 223

Analytics Artificial Intelligence Storage Serverless 223

Dynatrace

FEBRUARY 15, 2023

Not only are these approaches difficult and costly to maintain, they also lack proper security and scalability. AppEngine empowers organizations to tame cloud complexity, innovate faster and more securely, and ensure consistently better business results, thus delivering answers and driving collaboration across teams.

Government 157

Government Serverless Analytics Metrics 157

Dynatrace

NOVEMBER 9, 2021

The driver for APM to Observability is the complexity cloud environments bring to organizations. The cloud is where Enterprise organizations are transforming, and dynamic multi-clouds are the platform of choice. Traditional approaches and tooling simply don’t work in the new cloud world. DevOps and Cloud Ops Automation.

DevOps 207

DevOps Innovation Cloud Programming 207

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. Ensures platform is flexible and scalable to handle peaks by sending alerts to IT management. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years.

Infrastructure 189

Infrastructure Monitoring Virtualization Serverless 189

Dynatrace

JUNE 13, 2022

As organizations transition to the cloud and adopt DevSecOps practices, they can move more quickly and flexibly. They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Dynatrace news.

Open Source 211

Open Source DevOps Java Innovation 211

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 169

Artificial Intelligence Metrics Architecture DevOps 169

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. We call this system Cosmos. A simplified trace graph from Nirvana.

Media 171

Media Innovation Metrics Latency 171

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

High Scalability

FEBRUARY 22, 2019

Know anyone who needs cloud? I wrote Explain the Cloud Like I'm 10 just for them. 2% : of sales spent by consumer packaged goods companies on R&D (14% for tech); 272 million : metric tons of plastic are produced each year around the globe; 100+ fp s: Google's Edge TPU; 6,000 : bugs per million lines of code; 2.2

Internet 39

Internet Internet Scalability Lambda 39

The Morning Paper

FEBRUARY 6, 2020

Today’s paper choice is a fresh-from-the-arXivs take on serverless computing from the RISELab at Berkeley, addressing some of the limitations outlined in last year’s ‘ Berkeley view on serverless computing.’ Cloudburst monitors request and service rates (storing metrics in Anna). arXiv 2020.

Lambda 98

Lambda Serverless Cache Latency 98

All Things Distributed

APRIL 9, 2015

Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. When we designed Amazon EFS we decided to build along the AWS principles: Elastic, scalable, highly available, consistent performance, secure, and cost-effective. Amazon Lambda.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167