Cloud Monitoring is one of the easiest ways you can gain visibility into the performance, availability, and health of your applications and infrastructure. Today, we’re excited to announce the lifting of three limits within Cloud Monitoring. First, the maximum number of projects that you can view together is now 375 (up from 100). Customers with 375 or fewer projects can view all their metrics at once, by putting all their projects within a single workspace.

Zoom leverage AWS’s global infrastructure, storage, content distribution, and security to deliver its service and store information securely in AWS data centers around the world. This means that when you’re looking to monitor your Zoom performance, it’s important to know how to identify which AWS data center location your Zoom application is using. Keep reading to find out how.

Applications fail. Containers crash. It’s a fact of life that SRE and DevOps teams know all too well. To help navigate life’s hiccups, we’ve previously shared how to debug applications running on Google Kubernetes Engine (GKE). We’ve also updated the GKE dashboard with new easier-to-use troubleshooting flows. Today, we go one step further and show you how you can use these flows to quickly find and resolve issues in your applications and infrastructure.

As Werner Vogels says: “Everything fails all the time.” Data is the new oil. We rely on it not only to make decisions but to operate as a business in general. Data loss can lead to significant financial consequences and damaged reputation. In this article, you can find ten actionable methods to protect your most valuable resources.

Dashbird now scans your serverless infrastructure for industry best practices. It’s the antidote for chaos. We’re excited to introduce the Dashbird Well-Architected Insights – a continuous insights scanner combined with Well-Architected reports. The new feature provides serverless developers with insights and recommendations to continually improve their applications and keep them secure, compliant, optimized, and efficient.

MEC, as ETSI defines it, stands for Multi-access Edge Computing and is sometimes referred to as Mobile edge computing. MEC is a solution that gives content providers and software developers cloud-computing capabilities which are close to the end users. This micro cloud deployed in the edge of mobile operators’ networks has ultra low latency and high bandwidth which enables new types of applications and business use cases.

In this article, we shall talk about the advantages and disadvantages of single-tenant cloud and multi-tenant cloud. So let us get started! In the past decade adoption of cloud computing has been off the charts. For a long time most companies (primarily enterprises) managed their own IT infrastructure and they could reap the benefits of isolation, privacy and greater management control. This is what is known as a single tenant cloud architecture i.e.

A key decision that must be made in a product’s lifecycle is SaaS vs Hosted. Should we be only employing the use of hosted solutions, or are we going to utilize SaaS offerings? Hosted solutions are services from providers like AWS and Azure, that take away the operational burden from some well-known pieces of tech, like Kafka or Grafana. SaaS solutions on the other hand are platforms like Coralogix, that offer proprietary value. They each offer benefits and drawbacks. Let’s get into it.

CircleCI has released a new feature called CircleCI runner. The runner feature augments and extends the CircleCI platform capabilities and enables developers to diversify their build/workload environments. Diversifying build environments satisfies some of the specific edge cases mentioned in our CircleCI runner announcement.

For all the talk of digital transformation, there’s one workflow that tends to hinder release velocity: changes to API routing rules. But while—much to the consternation of enterprise developers everywhere—this process has historically remained stubbornly ticket-based, Spring Cloud Gateway removes this bottleneck. The open source project provides a developer-friendly way to route, secure, and monitor API requests.

One of the great things about Logz.io Log Management is that it’s based on the most popular open source logging technology out there: the ELK Stack (click here to view our thoughts and plans on the recent Elastic license). This means Logz.io users get to leverage log shipping and collector options within the rich ELK ecosystem. So how do you know which log shipping technology to use?

CloudHedge Transform provides the user with the option of modifying the data that goes into the container. It uses the data gathered from the X-Ray, a part of the CloudHedge Discover module that has been performed on the process. Using the Transform Platform, the user can currently: The Edit Dockerfile feature can be used to: And the File Selection feature can be used to.

We can plausibly say the enterprise development market turned the tide on cloud-native development in 2020, as most net-new software and serious overhaul projects started moving toward microservices architectures, with Kubernetes as the preferred platform.

Let’s face it. Once you have consumed your free credit, AWS costs an arm and a leg. This is the price to pay for high-quality services. But how can you reduce your costs without sacrificing quality? This post will show you how to reduce your bill by up to 60% by combining four built-in features in Qovery. There are three categories of costs on AWS. The “data transfer”, the “compute”, and the “storage” costs.

We're excited to share some updates on what we've been working on at Taloflow. We've come a long way since we launched Tim - AWS cost management for developers, which was a finalist for Product Hunt Dev Tool of the Year. Since launch, we've had the opportunity to work with nearly 100 companies and developers. We've helped digital native companies like NS1, Bluecore and Modusbox save money, improve performance, and get a better grasp of their marginal costs on the cloud.

Moving to the cloud brings benefits such as reduced infrastructure costs, increased scalability, and added redundancy. As your company takes advantage of the cloud, you may follow the trend to automate both the creation and destruction of cloud resources.

In this article, we’ll be rewinding back to the very beginning of the AWS Well-Architected Framework to understand how and why it came to be, and why is it of utmost importance, but very often underrated, for serverless developers to learn, understand and apply this framework of best-practices. We’ll also be looking into how the framework has evolved and how it should be used in 2021.

In this blog in the “IT security under attack” series, we wanted to shed some light on an unfamiliar and seldom discussed topic in IT security: the default, out-of-the-box configurations in IT environments that may be putting your network and users at risk. Default settings, and why the initial configuration is not the most secure.

Application slowdowns, poor Internet speed, and laggy video calls are always frustrating. Whether you’re working in an office, or working from home, it’s important to keep an eye on the applications that matter most. In this article, we’re teaching you how to monitor the network performance of Google apps, including Google Meet, Google Workspace, Gmail & Google Calendar.

While buying AWS Savings Plans and reserved instances can potentially reduce EC2 costs by up to 70%, the 1- or 3-year commitment required to achieve these savings can sometimes end up wasting more money than if you had stayed with on-demand pricing. In this article we will explore why AWS commitments can be tricky and how buying shorter-terms RIs on the Amazon Reserved Instance Marketplace can be done successfully.

Cloud migration is, more often than not, treated as a one-way street where organizations migrate applications and workloads from on-premises to a public cloud, or less often, from one public cloud to another. But a key finding in our recent State of Hybrid Cloud survey of 350 IT professionals with cloud decision influence/authority is that a whopping 72% of participating organizations stated that they’ve had to move applications back on-premises after migrating them to the public cloud.

A data center migration into the cloud is often a daunting business initiative that can take years as you transition your existing hardware, software, networking, and operations into a brand new environment. In our roles with Google Cloud’s Professional Services organization, we work side by side with customers to collaboratively architect and enable data center migrations into Google Cloud. Over the years, we’ve participated in multiple migration journeys, and devised a general approach.

As Spot by NetApp’s Cloud Analyzer usage grows, customer feedback is continuously being incorporated and added as new features and functionality. Recently, we have been adding to Cloud Analyzer’s spend analysis features, enabling more filters and options for conducting focused drill-down into spend data.

Today’s enterprises are pushing forward with their digital transformation initiatives to meet customer and market demand. The latest CNCF survey reports that 91% of companies are running Kubernetes and 81% of those companies are running Kubernetes in production. That’s up from 58% in 2018, and the numbers continue to ramp up quickly. There’s several approaches to how enterprises are thinking about adoption and their deployment and management of Kubernetes. I sat down with Lauren E.

With increasing complexity and workloads, the world of IT operations is constantly evolving to meet the needs of digital-first organizations. Automation, AI and DevOps are intersecting today like never before. A constant influx of new technologies means new terms. Here's our take on the meaning of leading words and phrases in the space right now.

This is an example machine learning image recognition stack using AWS Lambda Container Images. Lambda container images can include more source assets than traditional ZIP packages (10 GB vs 250 MB image sizes), allowing for larger ML models to be used. This example contains an AWS Lambda function that uses the Open Images Dataset TensorFlow model to detect objects in an image.

Driving productivity of software development and delivery teams is critical for any organization. The six years of research by DevOps Research and Assessment (DORA) showcases the role easy-to-use tooling plays in driving this productivity and in turn a better work/life balance for the team. The research finds that highest performing teams are 1.5x more likely to have tools they consider easy to use.

We are excited to introduce Calico Cloud, a pay-as-you-go SaaS platform for Kubernetes security and observability. With Calico Cloud, users only pay for services consumed and are billed monthly, getting immediate value without upfront investment.

We are excited to announce the new Elastic Cloud usage analysis page. You can now explore and analyze your Elastic Cloud usage to better understand how the resources you consume contribute to your monthly bill. Your Elastic Cloud monthly bill consists of usage fees for the resources you used, including: Understanding your resource utilization allows you to make smarter decisions about your Elastic deployments as well as identify areas where you may be able to save costs.

It’s no secret that Amazon Web Services is a powerhouse Cloud provider, and one of the market pioneers in Cloud operations. They do, after all, power some of the world’s biggest and most modern systems we all use and love today. It’s natural then that they attract a lot of users both big and small to deliver high quality and effective solutions. With growing user demand comes the need for new methods of visibility and intelligence.

Here at InfluxData, we’ve been focusing recently on deepening our support for Microsoft Azure. First we turned on InfluxDB Cloud on Azure West Europe, in Amsterdam, back in July. Then we launched InfluxDB Cloud on Azure East US, in Virginia, in September. Today, we’re pleased to announce that InfluxDB Cloud joins InfluxDB Enterprise on Azure Marketplace.

The planning of an IT automation project is crucial to success, this article takes a deep dive into areas which should be considered and addressed before embarking on an automation journey. Securing executive sponsorship and establishing governance Having the support and guidance from a senior leader within your organisation will undoubtedly benefit the delivery of your project. Implementing automation is change, and as with any change; has the potential for resistance.

Here at Lumigo, our mission is to help customers succeed with serverless by solving the observability problem and letting them focus on adding business value with serverless technologies. And to do that, we love to eat our own dogfood – be it using the same serverless technologies that our customers use and even using Lumigo to monitor Lumigo itself! That way, we feel your pain and we find solutions to problems that you care about.

We give entrepreneurs from around the world the opportunity to build their projects with FlashDrive, and we're grateful to be able to give back to the startup community all the help we received when we launched FlashDrive not so long ago. FlashDrive Startups Program is a free program designed for startups at various stages that provides free computational credit and dedicated support to help startups quickly get started with FlashDrive's infrastructure, innovate, and grow rapidly.

Microsoft Monitoring health and usage information is a critical maintenance task for any site or application, whether it’s running in your on-premises datacenter, hybrid or public cloud environment, or hosted environment. Today’s challenge is that enterprises still require end-to-end monitoring insights of their running (and not running) application workloads, while also knowing that they are losing ground on the physical characteristics of managing their own datacenters.

Chaos engineering has definitely become more popular in the decade or so since Netflix introduced it to the world via its Chaos Monkey service, but it’s far from ubiquitous. However, that will almost certainly change over time as more organizations become familiar with its core concepts, adopt application patterns and infrastructure that can tolerate failure, and understand that an investment in reliability today could save millions of dollars tomorrow.

For those of you who aren’t familiar with AWS CodePipeline, it’s a continuous integration and continuous delivery (CI/CD) framework that enables application development teams to deliver code updates more frequently and reliably. You may have also heard it being called a CI/CD or DevOps pipeline. These pipelines have always traditionally been used to deploy the components of a certain application whenever new code in “checked-in”.

Here at Pandora FMS we love news. If it were up to us we would wear new dresses and stilettos every week, we would open headquarters in an unknown tropical country and we would change styles, to other more daring and exotic, in our cocktail parties. Just to make our love for the avant-garde clear once and for all.

Thank you for reading my last blog on how to modernize age-old applications using automation. Let’s take a closer look at the available automated tools and explore the insights they extract to speed up app modernization. Assessment and Analysis The automation tool for application assessment should: There are free tools provided by cloud service providers, however, they focus more on infra (VMs and Bare Metal) and don’t focus on applications and databases (aspects mentioned above).

As modern organizations move to the cloud, strategic challenges can have a massive impact on your ultimate success or failure. Learn how the best practices and guidance provided by Microsoft’s Cloud Adoption Framework, alongside the power of AppDynamics, can ensure a successful cloud adoption strategy.

A platform-agnostic way of accessing credentials in Python. Even though AWS enables fine-grained access control via IAM roles, sometimes in our scripts we need to use credentials to external resources, not related to AWS, such as API keys, database credentials, or passwords of any kind. There are a myriad of ways of handling such sensitive data. In this article, I’ll show you an incredibly simple and effective way to manage that using AWS and Python.

Kubernetes applications are increasingly making their way to the edge and embedded computing. Storage will quickly follow as the applications that rely on this edge infrastructure become more advanced and naturally carry more state. According to a study by McKinsey and Company, a “connected car” processes up to 25GB of data per hour.

In this article we will focus on our on-premise platform, or cloud monitoring after having installed Pandora FMS console in Microsoft Azure. The installation will be made with an automated script that installs the Community version and with a second script, it allows to update Pandora FMS to its Enterprise edition (Corporative), leaving a 30-day test version (Trial).

Automation and adoption of cloud (public and/or private) are the two key components for the success of Digital Transformation. Automation has been synonymous with the agility and scalability of applications and infrastructure. DevOps ensures quick release of apps all the way from development to test to the stage to production. Cloud ensures quick allocation of resources (Compute, Memory, Storage, Network, etc.) for the applications.

Hybrid cloud allows businesses to optimise their costs associated with cloud infrastructure maintenance. It also brings many other benefits, such as business continuity, compliance, better scalability and improved agility. According to the Forrester Wave: Hybrid Cloud Management, Q4 2020, hybrid cloud is an essential technology that every modern organisation is looking for and its adoption is only expected to grow in the following years.

One important aspect of managing a cloud environment is setting up financial governance to safeguard against budget overruns. Fortunately, Google Cloud lets you set quotas for a variety of services, which can play a key role in establishing guardrails—and protect against unforeseen cost spikes. And to help you set and manage quotas programmatically, we’re pleased to announce that the Service Usage API now supports quota limits in Preview.

Up to 90% of businesses are now using cloud computing to some extent. These companies are also conducting up to 60% of their work via the cloud. This data clearly shows us that cloud environments are, at last, in the mainstream. However, there is still some confusion over the different types of cloud environment. While it is easy to assume that one cloud ‘fits all,’ different types serve differing purposes.

In this article, we will explain how to monitor AWS SQS with Prometheus. To monitor AWS SQS, we will leverage the data offered by CloudWatch exporting the metrics to Prometheus using the YACE exporter (Yet Another CloudWatch Exporter). Finally, we will dive into what to monitor and what to alert. AWS SQS (Simple Queue Service) has gained popularity as a way to communicate and decouple asynchronous applications, specifically for its easy integration with AWS Lambda functions.

In this article, I’m trying to shine some light on the AWS Lambda Layers, Lambda Extensions, and Docker image for Lambda, in order to add third-party code to Lambda. When and how to use which method, and when to mix and match? Due to the circumstances in 2020, many software releases were postponed, and so the industry slowed its development speed quite a bit. But at least at AWS, some teams got updates out of the door at the end of the year. AWS Lambda got two significant improvements.

Last week my colleague, Clay Ryder, and I presented a webinar, titled No! The cloud is not someone else’s data center, in which we examined how companies can reduce the complexity of a cloud migration and accelerate the benefits of digital transformation. It’s an important topic, so as a follow-up to the session, I’ve summarized five key things you need to understand to be successful in the cloud. If you missed the session, you can listen to the full discussion at the link above.

Context is king, they say, and anything you can do to improve context both makes decisions and assessments more reliable and speeds up the decision process. A new, bi-directional integration between Moogsoft Observability Cloud and Datadog does just that. Many SRE teams rely on Datadog to provide comprehensive information about their application stacks.

Migrating to the cloud is a significant, complicated endeavor, one that requires a realistic migration plan for any application portfolios that will be mapped out first. To get started, a detailed technical analysis of each application's cloud readiness helps determine the best cloud migration approach and strategy to take. If this sounds like a daunting process, that’s because it often is! Let's understand why.

Misconfigured resources are a big contributor to compromised cloud security. If you have misconfigured Amazon S3 buckets, for example, malicious actors could access your data, then inappropriately or illegally distribute this private information, putting your company’s security at risk. Policies and regular best practices enforcement are key to reducing this security risk.

In this article, we will build a CI/CD pipeline with the AWS Cloud Development Kit (CDK) and debug a test it using Dashbird’s observability tool. In 2021, continuous integration and continuous delivery, or short CI/CD, should be part of every modern software development process. It helps deliver new features and bug fixes much faster.

The year 2020 was a tough one and tested the grit and resilience of the human race. Organizations across the globe had to prioritize the safety of employees, customers, and associates. The rapid response to COVID-19 has enabled millions to work remotely because of advanced cloud computing technologies supplied through public cloud services like Amazon Web Services (AWS) and Microsoft Azure.

Big data applications require distributed systems to process, store and analyze the massive amounts of information that companies are collecting. Apache Spark has become a go-to framework for this, powering use cases from AI and machine learning to data analysis, by providing a unified interface for distributing data processing tasks across a cluster of machines. Spark requires other services to manage the cluster, with YARN and Mesos as two well-known cluster management tools.