Cloud infrastructure monitoring in action: Dynatrace on Dynatrace


It was on August 25 th at 14:00 when Davis initially alerted on a disk write latency issues to Elastic File System (EFS) on one of our EC2 instances in AWS’s Sydney Data Center. The post Cloud infrastructure monitoring in action: Dynatrace on Dynatrace appeared first on Dynatrace blog.

Immutable Infrastructure


You may also like: Gaining a Systemic View of Immutable Infrastructure Tooling. devops performance integration docker openshift immutable openshift container immutable infrastructure deployments deployment solutionMake your infrastructure.immutable? Over the last few years, a lot has been changed.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

which is difficult when troubleshooting distributed systems. Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. by Maulik Pandey Our Team?—?

Easily monitor your entire infrastructure with Dynatrace Synthetic monitors


In those cases, what should you do if you want to be proactive and ensure that your infrastructure is always up and running? Easy and flexible infrastructure monitoring. In just a few simple steps, you’ve now expanded your infrastructure monitoring possibilities! Dynatrace news.

Expand application and infrastructure observability with operational insights into Kubernetes pods


In Kubernetes environments, operating and successfully running your production applications and microservices requires getting additional insights into your Kubernetes infrastructure including the cluster, nodes, and pods that encapsulate and run the apps. With the release of Dynatrace version 1.196 we’ve extended our full-stack Kubernetes workload and infrastructure observability with a focus on pods and the use of namespaces. Dynatrace news.

It’s time to upgrade the PTC System Monitor (PSM)!


As a PSM system administrator, you’ve relied on AppMon as a preconfigured APM tool for detecting, diagnosing, and repairing problems that impact the operational health of your Windchill application suite. This means that your entire IT infrastructure can be monitored within minutes.

What is infrastructure monitoring and why is it mission-critical in the new normal?


IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years. What is infrastructure monitoring? .

Reinventing virtualization with the AWS Nitro System

All Things Distributed

A great example of this approach to innovation and problem solving is the creation of the AWS Nitro System , the underlying platform for our EC2 instances. Running a business at the scale of Amazon, we often have to solve problems that no other company has faced before.

Who will watch the watchers? Extended infrastructure observability for WSO2 API Manager


Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Extend infrastructure observability to WSO2 API Manager. Dynatrace news.

Chaos Mesh — A Solution for System Resiliency on Kubernetes


Traditionally we use unit tests and integration tests that guarantee a system is production-ready. To better identify system vulnerabilities and improve resilience, Netflix invented Chaos Monkey , which injects various types of faults into the infrastructure and business systems. security performance kubernates distributed system chaos engineering scalableWhy Chaos Mesh?

Scaling Infrastructure Management with Grail

Uber Engineering

To build and maintain infrastructure at scale, easy access to the current state of the system is paramount. As Uber’s business continues to expand, our infrastructure has grown in size and complexity, making it more difficult to get all the … The post Scaling Infrastructure Management with Grail appeared first on Uber Engineering Blog.

Infrastructure soup

Particular Software

Most frameworks have a way to counter this kind of bloat, pushing infrastructure concerns into separate components that can be reused. The 4th item, creating a user, is the whole point of this message handler, but it's buried in a jumble of infrastructure soup! Where infrastructure belongs If this code were in an ASP.NET Core app, we could use a Filter to separate our infrastructure concerns. When it starts to get colder outside I start to think about soup.

Gain better visibility into your infrastructure with Windows service availability monitoring


At Dynatrace, we’re constantly striving to come up with solutions that help you better understand the health of your infrastructure. These services are responsible for core components of the Windows operating system and third-party applications. Windows-based infrastructure monitoring.

Free Google Book: Building Secure and Reliable Systems

High Scalability

Google added another book into their excellent SRE series: Building Secure and Reliable Systems. Copy/pasting a few paragraphs: "In this book we talk generally about systems, which is a conceptual way of thinking about the groups of components that cooperate to perform some function. We’d like to explicitly acknowledge that some of the strategies this book recommends require infrastructure support that simply may not exist where you’re currently working.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management.

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure. In the next section, we will highlight some high level areas of focus in each dimension of our infrastructure.

Extend the AI and automation core of Dynatrace with host extensions to resolve infrastructure problems


GPU-based machine learning system crashes, and you don’t know why? Besides helping improve your system availability, this extension also provides Dynatrace with additional metadata (see the image below), which you can collect via our REST API. So that we can expand our coverage of infrastructure-related problems, we plan to work on more built-in infrastructure extensions, available out of the box with Dynatrace. Dynatrace news.

Dynatrace and AWS Systems Manager – Automate OneAgent distribution securely, centrally and at scale


We’re pleased to announce that Dynatrace is among the first set of partners to offer support for AWS Distributor , a capability of AWS Systems Manager, that allows you to select from available popular third party agents to install and manage. What is AWS Systems Manager Distributor?

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Scaling Uber’s Apache Hadoop Distributed File System for Growth

Uber Engineering

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis. This analysis powers our services and enables the delivery of more seamless and reliable user … The post Scaling Uber’s Apache Hadoop Distributed File System for Growth appeared first on Uber Engineering Blog.

Orbital edge computing: nano satellite constellations as a new class of computer system

The Morning Paper

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. Nanosatellite systems have a GSD of around 3.0m/px.

Follower Clusters – 3 Major Use Cases for Syncing SQL & NoSQL Deployments


Follower clusters are a ScaleGrid feature that allows you to keep two independent database systems (of the same type) in sync. Here are a few critical ways in which it differs from replication: You can control how frequently the destination system syncs from source – once a week, once a day, or even less frequently. This helps reduce the load on the source system. Since they are two independent systems, you have much more flexibility over the data that is synced.

Intro to Redis Cluster Sharding – Advantages, Limitations, Deploying & Client Connections

High Scalability

Redis Cluster is the native sharding implementation available within Redis that allows you to automatically distribute your data across multiple nodes without having to rely on external tools and utilities. At ScaleGrid, we recently added support for Redis Clusters on our platform through our fully managed Redis hosting plans.

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure

The Morning Paper

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., Modern software systems at scale are incredibly complex ever changing environments. All of this means that Gandalf faces four key challenges in making sense of all that data: Gandalf needs to be able to cope with constant change in systems and signals: new components emerge, and existing components evolve, changing the failure patterns and telemetry signals.

Towards federated learning at scale: system design

The Morning Paper

Towards federated learning at scale: system design Bonawitz et al., This is a high level paper describing Google’s production system for federated learning. The FL system contains a number of privacy-enhancing building blocks, but the privacy guarantees of any end-to-end system will always depend on how they are used. At the core of the system is a federated learning approach called Federated Averaging , with an optional extension for Secure Aggregation.

Unlocking Enterprise systems using voice

All Things Distributed

The interfaces to our digital system have been dictated by the capabilities of our computer systems—keyboards, mice, graphical interfaces, remotes, and touch screens. As a result, they fail to deliver a truly seamless and customer-centric experience that integrates our digital systems into our analog lives. All of these benefits make voice a game changer for interacting with all kinds of digital systems.

Components of Effective Software Monitoring: App Logs, Infrastructure Telemetry, Health-Check Reports


In our double-sided system of user behavior and app condition monitoring, we use Graylog as a single data storage for logs and other data about the web app, and Grafana , a powerful data visualization tool. For comprehensive snapshots of system behavior and, what is more important for apps in production, for proactive moves to iron troubles out, we collect monitoring data from a multiple layers. At Logicify , we are proud to be software monitoring geeks.

Build automated self-healing systems with xMatters and Dynatrace (Part 2 of 3)


Step 1 – Let Dynatrace analyze your infrastructure health in real-time. The Dynatrace all-in-one software intelligence platform gives your team real-time visibility into your underlying infrastructure —be it on bare metal, VMware, OpenStack, AWS, Azure, or a hybrid solution. In this alert, xMatters includes all the important incident information from Dynatrace, so there’s no need for you to visit additional system dashboards. Dynatrace news.

2019 PostgreSQL Trends Report: Private vs. Public Cloud, Migrations, Database Combinations & Top Reasons Used

High Scalability

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines. So what makes PostgreSQL so special, and how is it being used today?

Watching you watch: the tracking system of over-the-top TV streaming devices

The Morning Paper

Since there was no off-the-shelf crawling infrastructure for OTT devices, the authors then had to build their own. Watching you watch: the tracking ecosystem of over-the-top TV streaming devices , Moghaddam et al., CCS’19. The results from this paper are all too predictable: channels on Over-The-Top (OTT) streaming devices are insecure and riddled with privacy leaks.

MySQL High Availability Framework Explained – Part III: Failover Scenarios

High Scalability

Thus, whenever a master MySQL goes down (whether due to a MySQL crash, OS crash, system reboot, etc.), This ensures that the system continues to be available to the applications. This is a classical problem in any distributed system where each node thinks the other nodes are down, while in reality, only the network communication between the nodes is broken.

Three Other Models of Computer System Performance: Part 1

ACM Sigarch

Computer systems, from the Internet-of-Things devices to datacenters, are complex and optimizing them can enhance capability and save money. Existing systems can be studied with measurement, while prospective systems are most often studied by extrapolating from measurements of prior systems or via simulation software that mimics target system function and provides performance metrics. It provides a quick calculation for what a system may or can’t do.

Who monitors the monitoring systems?

Adrian Cockcroft

In reality, in any non-trivial installation, there are multiple tools collecting, storing and displaying overlapping sets of metrics from many types of systems and different levels of abstraction. These monitoring systems provide critical observability capabilities that are needed to successfully configure, deploy, debug and troubleshoot installations and applications. What if your monitoring systems fail? How do you even know when a monitoring system has failed?

The challenges of monitoring a distributed system

Particular Software

I remember the first time I deployed a system into production. Once the system was deployed, I wanted to see if everything was working properly, so I ran through a simple checklist: Is my database up? Yes/No) If the answers to these questions were all yes, then the system was working correctly. If the answer to any of those questions was no, then the system wasn't working correctly and I needed to take action to correct it.

ScaleGrid DBaaS Expands MySQL Hosting Services Through AWS Cloud


Over the years, migrating data to the cloud has become a top priority for organizations looking to modernize their infrastructure for improved security, performance, and agility, closely followed by the trending shift from commercial database management systems to open source databases. PALO ALTO, Calif.,

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How to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost


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 High Performance XLarge (see system details below). AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments.

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Eliminate inefficiencies and innovate faster by optimizing hybrid mainframe environments on IBM Z


IBM Z systems power billions of transactions each day and are used by most Fortune 500 companies. Over the years however, classic mainframe environments have been transformed, with their services frequently linked to distributed systems or an enterprise cloud. Easily achieve a cost-effective IBM Z configuration by monitoring relevant infrastructure metrics. In such a case, you can change your system configuration and add more zIIPs to reduce costs. Dynatrace news.

Follower Clusters – 3 Major Use Cases for Syncing SQL & NoSQL Deployments

High Scalability

Follower clusters are a ScaleGrid feature that allows you to keep two independent database systems (of the same type) in sync. Unlike cloning or replication, this allows you to maintain an active, point-in-time copy of your production data. This extra cluster, known as a follower cluster, can be leveraged for multiple use cases, including for analyzing, optimizing and testing your application performance for MongoDB , MySQL and PostgreSQL.

Maximizing fun (and profit) in your distributed systems

Particular Software

While you probably wouldn't expect this from a software infrastructure company, we opened a theme park! Based on our experience running business systems in production, we know we need to monitor our theme park to make sure it's working properly. This infrastructure monitoring helps us understand whether our theme park has the infrastructure it needs to operate. Infrastructure monitoring is also common in the software industry.

Hyper Scale VPC Flow Logs enrichment to provide Network Insight

The Netflix TechBlog

How Netflix is able to enrich VPC Flow Logs at Hyper Scale to provide Network Insight By Hariharan Ananthakrishnan and Angela Ho The Cloud Network Infrastructure that Netflix utilizes today is a large distributed ecosystem that consists of specialized functional tiers and services such as DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc. data-engineering cloud-networking big-data cloud-infrastructure netflix

Corporate Middle Management as an Autopoietic System

The Agile Manager

[T]he aim of such systems is ultimately to produce themselves: their own organization and identity is their most important product. -- Gareth Morgan, Images of Organization , p. This is in contrast to allopoietic systems, which use components (raw materials such as silicon and plastic) to generate something (mobile phones and computers) which are distinct from the thing that created it (the factory where they are made). The system thus organizes its environment as part of itself.

The Challenges and Traps of Architecting Sociotechnical Systems

Strategic Tech

If we a achieve a loosely-coupled, well-encapsulated architecture with an organizational structure to match we can achieve better delivery performance… and substantially grow the size of the engineering organization and increase productivity linearly” — Nicole Forsgren and Jez Humble in Accelerate From personal experiences, I’m sure we’ve all learned that getting the boundaries right in sociotechnical systems is extremely important yet monstrously difficult.

M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus

Uber Engineering

To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems at any given time. As part of our robust and scalable metrics infrastructure, we built … The post M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus appeared first on Uber Engineering Blog. Architecture Open Source Grafana Infrastructure M3 M3 Coordinator M3DB Metrics Platform OSS Prometheus Uber Infrastructur

Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

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. You should expect one-time implementation cost (depending CMS and business requirements it can cost 200,000 USD to 3M USD) and yearly hosting infrastructure cost (proportional to load and traffic but typically 30,000 USD - 300,000 USD per year).