Netdata excels in collecting, storing, and organizing metrics in out-of-the-box dashboards for powerful troubleshooting. We are now doubling down on this by transforming data into even more effective visualizations, helping you make the most sense out of all your metrics for increased observability. The new Netdata Charts provide a ton of useful information and we invite you to further explore our new charts from a design and development perspective.

The AWS Migration and Modernization Competency identifies industry leaders with proven technical proficiency and customer success. That's AppDynamics.

This is a short blog post about a pattern that we’ve observed more frequently among some of the large enterprises: the use of AWS S3 as both an observability lake and a data bus. AWS S3’s simple API, ubiquitous language support, unmatched reliability and durability, retention options, and numerous pricing plans have made it the de facto standard for storing massive amounts of data.

In this post, we’ll walk through our journey of launching Cribl LogStream Cloud on AWS Graviton instances. In order to put our journey into perspective, it is worth spending a few moments to describe the product and its resource requirements.

Enterprises choose Kublr because our platform is designed to be highly flexible and seamlessly integrate with cloud and services players for easy management of customized Kubernetes stacks.

Having an open, safe and efficient digital administration is the new objective of every Government these years. Although the recent pandemic may have hampered any master plan for system evolution and optimization, there is still some hope. The hybrid Cloud reaches the public sector, among other advances. We’ll tell you all about it in our blog!

The cloud is today one of the most expensive resources for any modern organization, second only to employee salaries and overhead. According to recent research by Gartner, end-user spending on public cloud services will reach $396 billion in 2021 and grow 21.7% to reach $482 billion in 2022. By 2026, Gartner predicts public cloud spending will exceed 45% of all enterprise IT spending, up from less than 17% in 2021.

In the relatively short window of time that Kubernetes has been around, it’s rapidly matured as a critical technology foundation for the cloud, and now even applications that were previously thought to be unviable for containers are running with Kubernetes. As companies expand their usage of it, the need to operationalize Kubernetes with automation and optimization is critical to maintaining speed, agility and control in the long-term.

The cloud native revolution brought by Kubernetes has transformed the way we build and deliver software, but the world of big data has for too long been left on the side of this transformation. Thanks to many contributions from the open source community, Apache Spark integration on top of Kubernetes is now officially generally available with the recent releases this year.

Across the globe, in-person technology events are beginning to emerge from their pandemic hibernation. For developers and DevOps teams, no event has been more anticipated than AWS re:Invent, which is back in Las Vegas, November 29th — December 3rd to help bring us all back together and slowly let us find our new normal. While handshakes may be replaced by elbow bumps or other newfound greeting rituals, we are excited to be back and see all of you in real life.

Serverless reduces a lot of operational burdens, but a ������������ ������������������������ is still your responsibility 🔐 From web threats, over IAM principles to auditing and monitoring.

In an on-premises environment, you have to pay for the capacity you have regardless of whether you’re using it, and you can’t exceed that capacity without purchasing and provisioning new hardware. In the cloud, however, you have much more flexibility thanks to cloud elasticity, which is the ability to automatically provision or deprovision resources based on workload changes.

This tutorial shows you how to set up a Ubuntu Desktop on Google Cloud. If you need a graphic interface to your virtual desktop on the cloud, this tutorial will teach you how to set up a desktop environment just like what you can get on your own computer. We need four steps to set up a machine.

29 November 2021: Canonical, Publisher of Ubuntu, announced today that it has achieved the AWS Graviton Ready designation, part of the Amazon Web Services, Inc. (AWS) Service Ready Program. This designation recognizes that Canonical + Ubuntu Server and Anbox Cloud Appliance has demonstrated successful integration with AWS Graviton Service.

Plano, Texas – 29th November, 2021 – CloudHedge Technologies, Inc, announced today that it has achieved Amazon Web Services (AWS) Migration and Modernization Competency status for AWS Partners. This designation recognizes that CloudHedge’s App Modernization platform—OmniDeq™ powered by R6Ai™— has demonstrated technical proficiency and proven customer success automating and accelerating customer application migration and modernization journeys.

Logz.io has dedicated itself to encouraging and supporting cloud-native development. That has meant doubling down on support for AWS and Azure, but also increasing our tie-ins with Google Cloud Platform – GCP. Recently, our team added dozens of new integrations for metrics covering the gamut of products in the GCP ecosystem.

Sometimes, managing several input fields gets crazy complex. You may need to recreate the same thing for each form and that’s can be really time-consuming. With a reusable Text Input in React, you can create just one input element in just one component and reuse it everywhere in any form. Let’s do this.

Summary The cloud is always innovating. One of the more recent and large breakthroughs has been the advancement and improvements in CPU architectures. Specifically with ARM CPU processors, where we are seeing adoption across all forms of computing, not only cloud, but also laptops with Apple’s M1, and of course in the past decade with mobile phones. The more recent availability in cloud computing therefore is not surprising, given the progress made in all other areas of technology.

Microservices have significantly altered the architecture of server-side processors. Rather than a single massive monolithic codebase containing all of your application’s business logic, microservices adhere to the distributed systems concept, in which a collection of application components collaborate to meet business goals. You may create a streamlined microservices ecosystem free of superfluous architectural complications by adhering to microservices industry standards.

AWS Fargate is a serverless compute engine that allows you to deploy containerized applications with services such as Amazon ECS without needing to manage the underlying virtual machines. Deploying with Fargate removes operational overhead and lowers costs by enabling your infrastructure to dynamically scale to meet demand. We are proud to partner with AWS for its launch of support for AWS Fargate on Windows containers.

The dynamic nature of cloud native applications is both a blessing and a curse. The ability to use compute, storage, and network resources without managing physical hardware is a real blessing. Your applications can take advantage of the seemingly limitless resources available in the public cloud. Unfortunately, the curse becomes clear when the bill arrives! It is a significant CloudOps challenge to find the balance between providing optimal application performance and minimizing cost.

AWS Fargate is a serverless compute engine that allows you to deploy containerized applications on services like Amazon ECS without needing to provision or manage compute resources. Now, Datadog is proud to be a launch partner with Amazon for their support of AWS Fargate workloads running on Graviton2, Amazon’s proprietary ARM64 processor.

At Coralogix, we believe in giving companies the best of the best – that’s what we strive for with everything we do. With that, we are happy to share that Coralogix has received AWS DevOps Competency! Coralogix started working with AWS in 2017, and our partnership has grown immensely in the years since. So, what is our new AWS DevOps Competency status, and what does it mean for you?

A single Kubernetes cluster expends a small percentage of its total available assigned resources on delivering in-cluster networking. We don’t have to be satisfied with this, though—achieving the lowest possible overhead can provide significant cost savings and performance improvements if you are running network-intensive workloads.

An exponential increase in the generation of data led to the rise of the Big Data era. Among other factors, the cost of scaling up businesses to accommodate so much data prompted many businesses to switch to virtual cloud platforms. The cloud can store, organize, and manage all the data and applications for a company in a virtual environment. Monitoring this environment is crucial, because it’s susceptible to cyberthreats, like data breaches.

Ubuntu is the platform of choice for deploying and running workloads on public clouds. No other operating system gives you better performance and consistency of experience across public clouds, including Amazon, Azure, Google, IBM and Oracle. There is a reason behind this exceptional experience. By design, Ubuntu images in public clouds include an optimized Linux kernel for each cloud, giving you the best performance and functionality across all instance types and services.

Editor’s note: Today we hear from Kenny Kon, an SRE Director at Sabre. Kenny shares about how they have been able to successfully adopt Google’s SRE framework by leveraging their partnership with Google Cloud. As a leader in the travel industry, Sabre Corporation is driving innovation in the global travel industry and developing solutions that help airlines, hotels, and travel agencies transform the traveler experience and satisfy the ever-evolving needs of its customers.

It’s a digital world—we just work and play in it...Unless, of course, you work in the IT group responsible for digital experience. Then you also have nightmares in it. Here’s why.

I am a big proponent of cross-functional alignment, as I remnded our ELT at a recent off-site meeting. There’s a lot of buzz about FinOps bringing financial accountability to cloud spend by eliminating procurement siloes and implementing cross-functional best practices. As the CFO of a SaaS company, I fully support this practice. In fact, Virtana recently made some changes to our cloud infrastructure as part of our own evolution.

Cloud computing is the on-demand availability of computer system resources without direct active management by the user. Instead, the delivery of said resources is available over the internet, which has made cloud computing a popular digital service that various industries use to operate and manage work tasks. How cloud computing services are implemented, hosted and accessed by users is called cloud deployment. There are different types of deployments, each with defined advantages for users.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we explore the rise of DaaS services across organizations, and the role it could play in the hybrid workplace of tomorrow. When we last wrote about the era of Everything as a service (XaaS), Desktop as a Service (DaaS) was still a relatively niche concept.

Google Workspace (formerly G Suite) is a collection of cloud-based productivity and collaboration tools developed by Google. Today, millions of teams use Google Workspace (e.g., Gmail, Drive, Hangouts) to streamline their workflows. Monitoring Google Workspace activity is an essential part of security monitoring and audits, especially if these applications have become tightly integrated with your organization’s data.

Coming into the new school year, school IT leaders are experiencing many of the same challenges that other industries have faced since transitioning to remote and hybrid models. Most notably, an ever-growing number of devices, SaaS applications, and hybrid- or multi-cloud environments has strained a largely decentralized approach to IT management that simply can’t keep up with the demands of a modern organization.

Amazon Web Services (AWS) is one of the most comprehensive and broadly adopted cloud service providers in the industry, offering over 200 fully featured services from data centers globally. A large spectrum of clients across verticals uses AWS to lower costs, become more agile and innovate faster. A recent survey estimates that AWS is the largest cloud service provider and accounts for 32% of the worldwide cloud services market.

In this article we’ll go through the ins and outs of AWS Lambda pricing model, how it works, what additional charges you might be looking at and what’s in the fine print. Money makes the wold go round. Unfortunately, it is a necessity in almost all spheres of life. You can live without it or with lesser amounts of it, but it makes it all harder. If you wish to have it, first, you need to give it, as always. Even AWS Lambda is not free.

Without a doubt, cloud technology has saved numerous organizations from disruption. According to a report published by Allied Market Research, In 2019, the global cloud services market was valued at $325,689 million and is expected to reach $1,620,597 million by 2030, registering a CAGR of 15.8%. The pandemic has amplified the growth of the cloud service market.

There’s something common between AVD and eG Enterprise. Can you take a wild guess? Listening on open TCP ports is an extremely bad practice for cloud architectures, as it exposes products and services to accepting incoming messages from malicious parties. This is something eG Innovations avoids in our own products (see details). This is also a best practice adopted by Microsoft for Azure Virtual Desktops (AVD).

Outages on the Internet always catch you by surprise, whether you are the end user or the Head of SRE or DevOps trying to keep a clear mind while you execute your incident playbook. As people in charge of ensuring reliable services for our customers, our normal experience of outages involves surfing a deluge of fire alarms and video calls as we work to solve the problem as quickly as we can. We often forget, therefore, what an outage means to the end user.

The world of cloud computing has been revolutionized by a solution called serverless computing. It has been an absolute joy for developers to use. Before this innovation, developers had to worry about the resources powering their code. Since the launch of serverless computing, the developer’s focus on operating-system and hardware architecture is now a thing of the past. It handles all the server management while focusing on what you do well — writing good quality code.

Many software developers build their product on Platform.sh. You can take several approaches, some of which are very straightforward. For instance, you can become a member of our Agency Partner Program. Or you can take advantage of our White-label offering to deliver a fully functional, fully-featured Platform.sh PaaS, branded with your organization’s logo.

At Grafana Labs, we are continuing to build integrations that make it easier than ever to observe your systems, no matter which tools or software you choose. Today, we’re excited to talk about the latest integration available in Grafana Cloud: the AWS CloudWatch metrics integration, the first of our fully managed integrations that makes it simple to connect and visualize your data in Grafana.

Thinking about using Google Dataproc as your cloud vendor? We can see why. Google Dataproc is a powerful tool for analytics and data processing, but to get the most out of it you have to ensure you use it properly. We’re going to explore five best practices you can use to lower your Google cloud costs while maximizing efficiency: Following these tips will ensure the best performance and help keep your cloud costs in line.

Prometheus, the de facto standard for Kubernetes monitoring, works well for many basic deployments, but managing Prometheus infrastructure can become challenging at scale. As Kubernetes deployments continue to play a bigger role in enterprise IT, scaling Prometheus for a large number of metrics across a global footprint has become a pressing need for many organizations.

So you’ve just created a new project and want to start distributing it, but you still don’t know how to manage its deployment. Then there’s the monitoring, network request, and a lot of other problems related to modern apps. At the same time, you want to avoid working directly with AWS due to its intricacy.

This article will cover how the health of your serverless application can be measured and improved. Technology and its implementation methodology evolve with time very rapidly. Cost efficiency and productivity are the key drivers of technological evolution these days. With the advent of the cloud, infrastructure costs have been brought down significantly. Serverless technology adds icing to the cake!

The question that people who don’t know us constantly ask, “What does Platform.sh do, exactly?” Our new overview video aims to answer just that. We took a five-step approach to ensure our message was both clear and succinct: We hope that this video addresses the question about what Platform.sh does and inspires you to use the same five-step framework when you’re tasked with explaining a difficult concept.

Stanza is a robust log agent. GCP users can use Stanza for ingesting large volumes of log data. Before we dive into the configuration steps, here’s a matrix detailing the functional differences between all the common log agents used by GCP users. Stanza was built as a modernized version of FluentD, Fluentbit, and Logstash. GCP users now have the ability to install Stanza to their VMs/ GKE clusters to ingest logs and route them to GCP log explorer.

I’m sure most of us have heard this saying before, and if you are in the DevOps space, I’m sure this is a scenario that you deal with daily. Most of us started even before we even had all these nice terms, such as DevOps, SREs, DevSecOps, and so many others, when we were all Sys Admins.

Observability is a measure of how well the internal state of a system can be inferred from its external outputs. It helps us understand what is happening in our application and troubleshoot problems when they arise. It’s an essential part of running production workloads and providing a reliable service that attracts and retains satisfied customers.

A plethora of surveys has shown that there is significant growth in the digital data that enterprises generate every day and it is becoming difficult for traditional on-premise systems to cope up with the enormous amounts of data. Also, the old methods require huge capital and resources. Therefore, Cloud-based Data Warehouses are taking the place of traditional ones to collect, store and analyze data coming from multiple sources.

AWS S3 is a cloud storage service that saves data as an object associated with a key. Objects are like files and keys are like filenames. Objects are stored in a bucket. We will be auto-generating our object keys while uploading. In a free tier account, you get 5GB of free cloud storage with AWS S3. Note: This tutorial is made for AWS S3 but works as well with S3 compatible providers like Wasabi.com

Azure Government is a dedicated cloud for public sector organizations that want to leverage Azure’s suite of services in their highly regulated environments. As these organizations migrate their applications to Azure Government, they need to ensure that they can maintain visibility into the status and health of their entire infrastructure.

Spot by NetApp’s Ocean continually optimizes a Kubernetes cluster’s data plane. When Ocean identifies nodes that aren’t being fully utilized, it simulates various bin packing scenarios. Once a more efficient layout is identified, Ocean reschedules pods, and then gracefully terminates the underutilized nodes. Ocean’s continuous optimization of cluster infrastructure saves your organization money and is better for planet Earth!

The need for relevant and contextual telemetry data to support online services has grown in the last decade as businesses undergo digital transformation. These data are typically the difference between proactively remediating application performance issues or costly service downtime. Distributed tracing is a key capability for improving application performance and reliability, as noted in SRE best practices.

At Lumigo. we believe in serverless technology, and our mission is to make serverless development easy and fast. For the past few months, we’ve been extending our observability and debugging capabilities, making it a breeze for developers to understand the end-to-end story of every request that goes through the system, find the root causes of issues and be able to easily address them.

Cloud infrastructures have introduced increasing levels of complexity—you have to manage workloads across on-premises, private, and multiple public cloud environments. This requires you to migrate efficiently, optimize effectively, and stay rightsized on an ongoing basis, all while meeting evolving business requirements. With so many moving parts, it can be a massive challenge with lots of pitfalls that can cost you time and money and even put your business results in jeopardy.

If you’re familiar with InfluxDB Cloud, then you’re probably familiar with Flux already. Flux enables you to transform your data in any way you need and write custom tasks, checks, and notification rules. But what you might not know is that InfluxDB Cloud now supports API Invokable Scripts in Flux.

At Payoneer, we use Coralogix to collect logs from all our environments from QA to PROD. Each environment has its own account in Coralogix and thus its own limit. Coralogix price modules are calculated per account. We as a company have our budget per account and we know how much we pay per each one. In case you exceed the number of logs assigned per account you will pay for the “extra” logs. You can see the exact calculation in this link.

Here at Pepperdata, we continuously work to improve our products and better serve our customers. Whether it’s executing more big data workloads or ensuring their resource consumption remains optimal, we want our customers to get the best value and tangible benefits from our products while not overshooting their big data cloud budgets. Today, we’re bringing you the data to back up our claims that all of this is possible.

CIS Benchmarks are best practices for the secure configuration of a target system. The Center for Internet Security, Inc. (CIS®) is the authority backing CIS Benchmarks. Ubuntu Pro is entitled to be CIS compliant and packaged with CIS toolings from Canonical. Let’s SSH into your Ubuntu Pro virtual machine. If you haven’t yet upgrade your Ubuntu LTS to Ubuntu Pro, please follow this tutorial.

Cloud computing is the on demand delivery of IT solutions. Instead of investing capital in buying, owning, and maintaining physical servers and data centers, cloud computing enable the organizations to access the services such as, computing, storages, and databases, whenever required from the desired cloud providers. Now, let us move ahead and have a look at some of the key benefits of cloud computing.

The cloud is driving enterprise digital transformation. Gartner predicts that by 2026, public cloud spending will exceed 45% of all enterprise IT spending, a 2.5x growth from 2021. Enterprises globally are accelerating application modernization, embracing the cloud. This is giving rise to a few key trends. Software-as-a-Service (SaaS) adoption is on the rise. So, organizations are using applications whose implementation/infrastructure they have little or no control over.

The cloud has changed the world of IT — including IT services. In particular, it has enabled companies to dramatically decrease the amount of infrastructure they manage on-premises — reducing their need to use outside IT services to help them purchase, set up and maintain this infrastructure.

While more businesses are moving their apps to the cloud, they must also ensure that cloud-based services such as Amazon Web Services (AWS) and other resources remain available. So, how can you make sure these cloud services aren't turned off? You can accomplish this using a tool like Amazon CloudWatch, which monitors applications. What is AWS CloudWatch will be the subject of this article.

How do you perform AWS Fargate monitoring? Today, we’ll discuss the background of AWS Fargate and using Retrace to monitor your code. As companies evolve from a monolithic architecture to microservice architectures, some common challenges often surface that companies must address during the journey. In this post, we’ll discuss one of these challenges: observability and how to do it in AWS Fargate.

The cloud and Electric Vehicles (EVs) have a lot in common. Both are modern, fast, and agile. Both are also in great demand. Every street seems to have an EV parked somewhere. It’s the same with the cloud, which is fast becoming the platform of choice to power enterprise applications. Whether it is public, private, or hybrid, the cloud offers flexibility, security, and low total cost of ownership.

AWS CloudFormation is a service that enables you to create and provision AWS infrastructure deployments predictably and repeatedly. This helps you leverage AWS products such as EC2 instances, Amazon Elastic Block Store, Amazon SNS, Elastic Load Balancing, and Auto Scaling to build highly reliable, highly scalable, cost-effective applications in the cloud – without worrying about creating and configuring the underlying AWS infrastructure.

Today we are announcing an additional $29 million in funding to help Lumigo grow and provide the same powerful observability capabilities we brought to serverless to other cloud-native technologies, including containers and Kubernetes. Lumigo was founded by Aviad Mor and me a few years ago because we believed the world would be rapidly moving to cloud-native architectures and that these technologies are transformative. Our goal was to create the tools that help developers realize this vision.

With web browser-accessed applications reaching record levels, employees are now spending most of their productive work time inside a cavern of business web applications. These may be custom applications built by a company for specific business purposes, or commercial SaaS applications for important functions such as collaboration, workflow management, scheduling, communication, transactional business, single sign-on, development, service desk, CRM, HR, and others.

With the help of its continually growing global network of data centres, Microsoft has developed Azure, a cloud platform for developing, deploying, and managing services and applications from any location. Azure is available now. Azure’s platform as a service (PaaS) approach allows you to add cloud capabilities to your current network, while its infrastructure as a service (IaaS) model allows you to entrust Microsoft with all of your computing and network requirements (IaaS).

Organizations need tools to manage their infrastructure, which today is expanding beyond the data center to include multiple public clouds. In fact, in a recent survey of hybrid cloud decision makers, we found that the vast majority of respondents (88%) have placed more than one-quarter of their workloads in the public cloud, and 44% indicated that they’re running more than half of their workloads in the public cloud.

1st November 2021: Today, Canonical announced support with Microsoft for Microsoft SQL Server with Ubuntu Pro on Microsoft Azure. Canonical has worked with Microsoft to bring a highly performant and fully supported solution for SQL Server to market, based around the Ubuntu Pro 20.04 LTS operating system.

It’s official: since the outbreak of the COVID-19 pandemic, cybercrime has increased by 600%. Among these, ransomware attacks are estimated to cost $6 trillion in 2021 alone. And there were nearly 550,000 ransomware attacks per day in 2020. The question is: are your workloads secure enough? In this blog, we will discuss how to make your Open Source workloads more secure in one second.