Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Dynatrace news. Engineers often choose best-of-breed services from multiple sources to create a single application. New to Dynatrace?

Serverless 246

Serverless Azure Lambda AWS 246

Dynatrace

DECEMBER 2, 2021

Infrastructure Monitoring. Settings > Anomaly detection > Database services. Settings > Anomaly detection > Infrastructure. Infrastructure Monitoring. Infrastructure Monitoring. Dynatrace Hub recommendations added to Kubernetes details page for OpenShift clusters. Resolved issues.

Lambda 246

Lambda Azure Metrics Monitoring 246

Dynatrace

SEPTEMBER 5, 2024

Native support for Syslog messages Syslog messages are generated by default in Linux and Unix operating systems, security devices, network devices, and applications such as web servers and databases. Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

JANUARY 20, 2022

DL/I segment name for DL/I databases. The trace list now correctly supports sorting on the number of database calls. (APM-340223). Lambdas, EBS, and supporting services on the AWS details page are correctly displayed when a management zone filter is selected with the management zone not containing the whole AWS account.

Lambda 245

Lambda AWS Metrics Azure 245

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 204

Azure Serverless IoT Lambda 204

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. Additionally, typical SOA models use larger relational databases. Service mesh. Real user monitoring (RUM). Auto-discovery.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable.

Google 246

Google Cloud Serverless Azure 246

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment. Netflix Conductor is maintained by the Media Workflow Infrastructure team. As such, Conductor 2.x

Lambda 191

Lambda Media Open Source Metrics 191

Adrian Cockcroft

FEBRUARY 9, 2023

Above that there’s a deployment platform such as Kubernetes or AWS Lambda. If you are running serverless with AWS Lambda, you’ve also bypassed the need for a platform team to run it, the serverless platform takes care of those concerns. The introduction of containers brought everyone a similar but lighter weight mechanism.

Engineering 136

Engineering Serverless Lambda AWS 136

All Things Distributed

APRIL 9, 2015

Once the models are created, you can get predictions for your application by using the simple API, without having to implement custom prediction generation code or manage any infrastructure. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon Lambda. for a while already.

Lambda 102

Lambda Cloud IoT AWS 102

The Polyglot Developer

JULY 23, 2023

So you need to build an application that will scale with demand and a database to scale with it? It might make sense to explore serverless functions, like those offered by AWS Lambda, and a cloud database like MongoDB Atlas. The post Serverless Development with AWS Lambda and MongoDB Atlas Using Java appeared first on MongoDB.

Lambda 52

Lambda Serverless Java AWS 52

The Netflix TechBlog

MAY 21, 2019

We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations. To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda. Administrative user-interface to manage agents.

Testing 164

Testing AWS Lambda Network 164

The Morning Paper

FEBRUARY 6, 2020

It’s a fancy sounding name, but it’s essentially the same design as we’ve been using in enterprise applications for decades now: think application server with an L2 ORM cache sat in front of a relational database. A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network. Evaluation.

Serverless 98

Serverless Lambda Cache Latency 98

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database. Building upon Redis.

Scalability 100

Scalability Cache Analytics AWS 100

Adrian Cockcroft

JANUARY 29, 2023

> system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5, > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5, New deployments of code and infrastructure, or unusual activity like failure modes could change the characteristic positions of each peak.

Lambda 98

Lambda Latency Cache C++ 98

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.

Cloud 112

Cloud Big Data AWS Analytics 112

Strategic Tech

JULY 21, 2020

Platform Architecture Your new architecture will need to be executed on infrastructure. both the infrastructure technology (e.g. AWS Lambda) along with your technology choices (e.g. no shared databases). And you need to decide what that platform will be?—?both Java) and conventions (e.g.

Architecture 98

Architecture Design Software Architecture Strategy 98

Adrian Cockcroft

NOVEMBER 18, 2019

OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto. Learn about how Lambda works behind the scenes, and how you can follow these steps to migrate your application to Corretto with Niall Connaughton?—?Software

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto. Learn about how Lambda works behind the scenes, and how you can follow these steps to migrate your application to Corretto with Niall Connaughton?—?Software

Open Source 40

Open Source AWS Lambda Serverless 40

The Symphonia

MARCH 14, 2018

The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. Amazon’s ‘Infrastructure-as-Code’ language and deployment service. Finally, SAR isn’t just the “Lambda Blueprints” catalogue rebranded?—?it’s at re:Invent 2017.

Serverless 40

Serverless AWS Lambda Open Source 40

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, ‍Terraform is a revolution in the way we handle infrastructure. Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp.

Open Source 52

Open Source DevOps AWS Infrastructure 52

Enprowess

JANUARY 12, 2022

This architecture runs on cloud technology, and developers can focus on the code instead of the scaling, maintenance, and infrastructure facilities. IBM OpenWhisk, Microsoft Azure, AWS Lambda, and Google Cloud Functions are famous names that provide server-less services. Blockchain technology is an encrypted database storage system.

Blockchain 59

Blockchain IoT Development Serverless 59

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, What Exactly is Terraform?‍Terraform Terraform is a revolution in the way we handle infrastructure. This level of granularity is not found in UI-managed systems.

Open Source 40

Open Source DevOps AWS Infrastructure 40

Particular Software

NOVEMBER 6, 2017

Perhaps you're building a runtime procedure from steps stored in config files or a database. Customers can also define their own behaviors to address any system-wide concern at an infrastructure level rather than in every single message handler. You want it to be flexible, but you don't want to sacrifice performance.

Lambda 40

Lambda Speed Efficiency Infrastructure 40