Operations | Monitoring | ITSM | DevOps | Cloud

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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.

The principle of fail fast is either the best thing since the transistor or nothing but hot air. It depends on the size of your organization and the cohesiveness of your teams. If your team members have a strong working relationship, and dev is well integrated with everyday work company-wide, you already have a good foundation for this particular agile thinking. Most companies that have grown beyond startup-size, and even some startups, may find this idea a bit jarring.

Logs are vital for every application that runs in a server environment. Logs provide essential information which points to whether the current system is operating properly. Looking through logs, you will gather data on system issues, errors, and trends. However, it is not feasible to manually look up errors on various servers across thousands of log files. The solution? Central errors logging services.

Changes are both inevitable and necessary when you are running a business. As customer expectation and the market landscape keeps changing, you will have to take up the necessary measures to implement corresponding digital solutions and technology changes. But managing changes can be a tricky process. Some changes can be as simple as changing the folder organization in your data. But if you have not tracked it properly, you will soon run into confusing folder hierarchies and problems in data sharing.

Today, we’re going to continue diving into Catchpoint’s wealth of synthetic tests with a brief overview of network protocols and a look at some helpful use cases specifically around monitoring your email service. I’ll be sharing a hands-on demo, illustrating how this data shows up in Catchpoint – focusing on a pair of protocol tests we’ll be running against our email service.

I was recently on the Changelog Podcast talking about Elastic’s recent change away from open source licensing. I’m at 1:02:45 to 1:24:03, but the whole thing is pretty interesting if you have time to listen. This is where #InfluxDB is headed. No more open core, we're going to a combination of cloud offering, or if on-premise, a complementary offering to the open source. It'll take us time to get there, but that's the vision. Commercial complements the open source rather than replace.

Sometimes you'll want to migrate WordPress hosts - maybe it's time for renewal, and you found a better deal elsewhere, or your hosting provider isn't as reliable as they promised. Which is great for you, but your site's readers don't care that it's a better deal - they just want to see your content. So minimising downtime when transferring hosts is a pretty big deal. Let's learn how to avoid downtime.

Monitoring systems help DevOps teams detect and solve performance issues faster. With Docker and Kubernetes steadily on the rise, it’s important to get container monitoring and log management right from the start. This is no easy feat. Monitoring Docker containers is very complex. Developing a strategy and building an appropriate monitoring system is not simple at all.

The use of virtualization for hosting server VMs is well understood. Today, most virtualization platforms provide administration and monitoring software that admins can use to track the health of their hypervisors and virtual machines (VMs). The use of virtualization for desktops is more recent.

In an industry where technological evolution is commonplace, it’s easy to get lost in a sea of terminology and acronyms. It’s important to establish a solid foundation of understanding. In the second installment of our ‘Frequently Asked Questions’ series, we tackle issues related to effective monitoring, speed, and performance related to Microsoft 365 services.

One of the most commonly used functionalities for String objects in Java is String replace. With replace(), you can replace an occurrence of a Character or String literal with another Character or String literal. You might use the String.replace() method in situations like: In Java, keep in mind that String objects are immutable, which means the object cannot be changed once it’s created.

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.

Let’s check out together the new features and improvements for Pandora FMS new release: Pandora FMS 752.

Say you’re looking for a smart product to detect anomalies in your organization’s IT environment. A sales rep drops by and shows you all kinds of great artificial intelligence (AI) features with fancy-sounding algorithms. It sounds very impressive and seems like there is a lot of very valuable AI in the product. But, in fact, the opposite is true. This is a manual AI product wrapped in a deceiving jacket. Let me tell you more.

Are you looking for a better way to troubleshoot, debug, and really see and understand what weird behavior is happening in production? Service-level objectives (SLOs) and observability can help you do all that—but they require collecting and storing the right data. If we’re naive with our telemetry strategy, we spend a lot of money on storing data without seeing adequate return on investment in the form of insights.

In our previous post on Grafana and SquaredUp, we compared the two tools across various benchmarks like ease of deployment, time to value, dashboard creation, dashboard sharing, and more. Both tools have their specific advantages over the other, but since the ultimate goal is to give you a single place to look – why not leverage Grafana for the visualizations and data sources it offers, but give them meaning by embedding them in SquaredUp?

Ever been stuck, trying to figure out how to craft a search to answer your question? Splunk is providing guidance right at your fingertips to help you meet your company's objectives, accomplish your end-to-end use cases, and get value out of your Data-to-Everything Platform investment.

“On Tuesday, we announced some big news: LogicMonitor has acquired Airbrake — a developer-centric application error and performance monitoring platform. This acquisition represents the latest step in our company’s journey towards becoming an end-to-end infrastructure monitoring and observability platform. As part of the acquisition, I am thrilled to welcome the Airbrake team into the fold!

Your servers generate heat—this is a fact common with any type of electronic device. The amount of heat they generate will vary, depending on where they are located and the number of servers in use. For example, a small business may have only one or two servers that are stored in a small server room. On the other hand, a large corporation could have hundreds of servers in a massive data center.

In this post, I will explain what are manual monitors? Manual monitors are monitors that do not actively monitor any resources. You can use them if you are using an external monitoring tool and can ping Fyipe API to create incidents. They can also be helpful to create manual incidents for your customers and show them on status page. Manual monitors can be created in just 2 simple steps.

Worldwide end-user spending on public cloud services is forecast to grow 18.4% in 2021, with the cloud projected to make up 14.2% of the total global enterprise IT spending market in 2024, up from 9.1% in 2020, according to Gartner. Enterprises are, therefore, rightly concerned about controlling their public cloud costs—to ensure they’re getting all the value they’re paying for.

Legacy monitoring tools weren’t built for visibility into the cloud and can obstruct your ability to compete and grow your business. Interlink Software works with MSPs to define, monetize and deliver AIOps monitoring solutions that meet the requirement for high-performing business services and hybrid cloud infrastructures that digital enterprises rely on.

Even when businesses are functioning as usual, mergers and acquisitions are intense and demanding transitions for companies to pull off. From the constant communication required in the preparation phase, to the technical demands of integrating two teams, a merger or acquisition forces companies to exhaust resources in order to make the transition a smooth success. Then the pandemic hit.

What is more important – time saved or time well spent? How you think about this problem and how you’d go about measuring it is an important consideration for managers who aspire to be leaders in today’s digital workplace. In IT and beyond, focusing on experience over service is the difference between managing the status quo and leading a change that pushes an organization forward.

A couple months ago, we hosted a week of community-led SCOM workshops and networking. These hands-on workshops took a deep dive into a series of topics handpicked by the SCOM community itself – and we are thrilled that the community found it valuable, as we learned from our post-event survey.

GitLab is one of the most popular web-based DevOps life-cycle tools in the world, used by millions as a Git-repository manager and for issue tracking, continuous integration, and deployment purposes. Today, we’re pleased to announce the first beta release of the GitLab data source plugin, which is intended to help users find interesting insights from their GitLab activity data.

Google Kubernetes Engine (GKE) is the preferred way to run Kubernetes on Google Cloud as it removes the operational overhead of managing the control plane. Earlier today, Google Cloud announced the general availability of GKE Autopilot, which manages your cluster’s entire infrastructure—both the control plane and worker nodes—so that you can spend more time building your applications.

I’ve always had a good experience using DigitalOcean, a cloud infrastructure provider which offers developers cloud services that help deploy and scale applications that run simultaneously on multiple computers. I’ve used DigitalOcean a lot for my personal projects — for example, to host my personal blog, its stats, and a NextCloud instance, all running in Kubernetes.

DevOps came about as a result of ever-growing lags between development and operation. It’s a framework that deals with communication bottlenecks, allowing for smooth change management. DevOps monitoring is a crucial element and a necessity for this framework to succeed. Monitoring plays a vital role in realizing the underlying goals of DevOps. DevOps is all about eliminating technical inefficiencies and improving the speed of the whole cycle from development to deployment.

Transformations were introduced in Grafana v7.0, and I’d like to remind you that you can use them to do some really nifty things with your data. All performed right in the browser! Transformations process the result set of a query before it’s passed on for visualization. They allow you to join separate time series together, do maths across queries, and more. My number one use case is usually doing maths across multiple data sources.

ActiveRecord is Ruby on Rails’ most magical feature. We don’t usually need to worry about its inner workings, but when we do, here’s how AppSignal can help us know what’s going on under the hood.

Running systems in production involves requirements for high availability, resilience and recovery from failure. When running cloud native applications this becomes even more critical, as the base assumption in such environments is that compute nodes will suffer outages, Kubernetes nodes will go down and microservices instances are likely to fail, yet the service is expected to remain up and running.

Don’t stop thinking about tomorrow: For enterprise IT leaders everywhere, it’s no longer enough to lead well today and have teeth in the business. You must now be prepared for all manner and scope of uncertainty and change, and according to Accenture, very few organizations are there yet. In a recent report, the consultancy reports that only 7% of organizations are “future-ready”.

Virtualization is part of many IT environments and a very effective way to reduce expenses while boosting efficiency and flexibility. The NiCE VMware Management Pack enables advanced health and performance monitoring for VMware to leverage your existing investment, reduce costs, save time, and build efficiencies that will help shape a future-proof business.

Being able to track and aggregate data by region is important when monitoring your application. It can provide visibility into where errors and latency might be occurring, where security threats might be originating, and more. Now, you can use Datadog geomaps to visualize data on a color-coded world map. This helps you understand geographic patterns at a glance, including where users are experiencing outages, app revenue by country, or if a surge in requests is coming from one particular location.

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.

If you work with Microsoft System Center Operations Manager (SCOM) and ServiceNow then you will be familiar with the fear of missing a critical infrastructure alert! But fear no more, we have just the ticket! Imagine if you could get these two tools working together, to fully synchronize your alerts and incidents for the lifetime of an issue – you’d be living the ITSM dream, right! So, here are our top four methods for making this dream a reality.

Written by Nick Cavalancia, Microsoft Cloud & Datacenter MVP The increase in reliance upon Office 365 as an organization’s digital workspace has led many organizations to measure Office 365 against how well users interact with it rather than if it’s running.

Today we will share our list of the most popular software tools used by education institutions. Why is this important? If you are managing technology in education you need to make the best choice from among many available tools. Discovering the most popular tools used by other education professionals can help you make an informed choice. After reading the report you’ll know which tools are relied upon by primary and secondary schools, colleges, and universities in the United States.

In the Modern era of application development, businesses move towards building highly available, fault-tolerant, zero downtime applications to make the user experience and performance smoother and better. One of the essential steps in that process is containerization and orchestration of an application. A Container Monitoring process is as vital as containerizing your application.

“Today’s an exciting day for LogicMonitor. But before I share our news, I want to sincerely thank our customers for your business. The Covid-19 pandemic has been a terrible experience for the world, and yet we @ LogicMonitor are fortunate and thankful to be counted on every day by thousands of organizations. I — and our team of over 650 employees worldwide — are grateful for the chance to serve your organizations during these turbulent times”

Observability and Monitoring are viewed by many as interchangeable terms. This is not the case. While they are interlinked, they are not interchangeable. There are actually very clear and defined differences between them. Monitoring is asking your system questions about its current state. Usually these are performance related, and there are many open source monitoring tools available. Many of those available are also specialized.

In January we brought Release Health to JavaScript. This month we’ve been thinking about the overall experience for JavaScript developers, some could call it JavaScript Jebruary. Think back to your last frustrating experience. It was probably caused by slow page loads or getting dizzy from staring at the ever-ending spinner. One survey showed that the average desktop load time on a webpage was 10.3 seconds and on mobile, it was 27.3 seconds.

Knowing how your users interact with your web application and how they experience it is crucial to provide the best possible experience. So what do you need to know? Start with metrics such as page load times, HTTP request times, and core Web Vitals – time to the first byte, first contentful paint. If you use Sematext Experience you’ll see a number of other useful metrics for your web applications and websites there. However, metrics themselves are only a part of the whole picture.

Currently, there is no official InfluxDB C language client library. Fortunately, I wanted to do exactly that for capturing Operating System performance statistics for AIX and Linux. This data capturing tool is called “njmon” and is open source on Sourceforge. So having worked out how and developing a small library of 12 functions for my use to make saving data simple, I thought I would share it. I hope it will prove useful for others.

Graphical processing units, or GPUs, aren’t just for PC gaming. Today, GPUs are used to train neural networks, simulate computational fluid dynamics, mine Bitcoin, and process workloads in data centers. And they are at the heart of most high-performance computing systems, making the monitoring of GPU performance in today's data centers just as important as monitoring CPU performance.

Network administrators are responsible for the day-to-day operation of computer networks at organizations of any size and scale. Their primary duty is to manage, monitor, and keep a close watch on the network infrastructure to prevent and minimize downtime. Managing a network includes monitoring all the network components, including Windows devices. In any Windows network, the desktops, servers, virtual servers, and virtual machines (VMs), like Hyper-V, run on the Windows operating system.

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?

Honeycomb is all about collaboration: We believe that observability is a team sport, and we want to give you as many tools to help your team get the ball down the field (i.e., untangle knotty problems) as we can. We want you to be able to share the current state of your work so that others can follow and figure out what’s up, and we want you to leave breadcrumbs so the next time you’re stuck here, you can find your way back.

Greetings! This is Mike reporting from the Solutions Engineering team at Grafana Labs. In previous posts, you might have read our beginner’s guide to distributed tracing and how it can help to increase your application’s performance. In this post, we are back to talk about metrics and showcase another one of our newest favorite Enterprise plugins: Splunk Infrastructure Monitoring (formerly known as SignalFx)!

New Relic is one popular for SaaS-based Application Performance Management capable of providing you with a flexible and dynamic approach to monitoring. It is considered to be effective but some may feel it is not cost-effective for small-meidum-size businesses and comes with a very high learning curve. If you want an APM that you can get started quickly, requiring minimal training or experience, New Relic may not be for you.

If you’re a RabbitMQ user, chances are that you’ve seen queues growing beyond their normal size. This causes messages to get consumed long after they have been published. If you’re familiar with Kafka monitoring, you’ll call it consumer lag, but in RabbitMQ-land it’s often called queue length or queue depth.

Welcome to part 2 of our blog series, where we go through how to forward container logs from Amazon ECS and Fargate to Splunk. In part 1, "Splunking AWS ECS Part 1: Setting Up AWS And Splunk," we focused on understanding what ECS and Fargate are, along with how to get AWS and Splunk ready for log routing to Splunk’s Data-to-Everything platform.

This article is a re-post of the article written by Matthew Gregory and published on the Ockam blog. Let’s investigate how to build applications with trusted time series data in a zero trust environment! To trust an application we need to trust the data that feeds into it. Increasingly, applications rely on time series data from outside the datacenter, at the edge, or in IoT. This means we need to think of trust and data in new ways.

In this age of digital transformation, any issues with your IT infrastructure can cause major disruptions to your business. On top of this, IT environments that support critical business applications continue to get more complex and dynamic. As failures, outages, and incidents increase in volume and cost, the risk of an outage within your company becomes a very expensive one.

In this article, we will discuss major features, differences, and similarities of the open-source monitoring tools known as Prometheus and Graphite. We will then dive into how you can benefit from MetricFire’s hosted Prometheus and Graphite. Lastly, we will explain why, given the choice, hosted Graphite could be a better monitoring option for you. MetricFire provides comprehensive monitoring solutions with Hosted Prometheus and Hosted Graphite.

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.

“Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application.” — “Serverless Computing”, Wikipedia This mundane description of serverless is perhaps an understatement of one of the major shifts in recent years.

In this post, I will show you, how to monitor your Website in just 2 simple steps.

Datadog’s features give you full visibility into every part of your application environment, so it’s likely you have many resources to switch between as part of your troubleshooting and development workflows. For example, you might switch from the host map to investigate a performance issue with your services in APM, or jump between dashboards to correlate metrics and troubleshoot a problem with your CI/CD pipeline.

DevOps fits this odd niche between development and oversight. Like any “Wild West” type of position, pretty much anything goes. Your job is to think of everything including the stuff you haven’t thought of yet. You make the rules, and as long as the lights are on you’re considered a success. But alongside that freedom come the rumors and SLA myths that inspire such dread that you write them off as jokes.

OpenTelemetry 1.0 (Otel) is finally here (in fact, 1.0.1). The announcement brings the industry closer to a standard for observability. OpenTelemetry v1.0.1 will focus solely on tracing for now, but work continues on integrations for metrics and logs. We are still a long way off from this vision becoming reality. Metrics today are in beta, and this is where the community focus is being applied. Logging is even earlier in its life lifecycle.

In my prior three blog posts, we set some ground rules, looked at some out-of-box dashboards, overloaded an in-box property, and finally created an innovative structure to communicate status using SquaredUp's EAM feature. Looking back, when I started this blog, I explicitly stated that traditional monitoring wasn't our goal. It's essential, but the industry (in broad terms) hasn't been successful with monitoring when the only focus is on the infrastructure perspective.

While SQL has been the big dog since the 70s in terms of database management, NoSQL has really come into its own since the late 2000s. In fact, NoSQL has become a powerful and important tool for data analysis and data scientists. To that end, we wanted to take a look at what NoSQL actually is, what are the benefits over SQL, and what are the different data models.

One of the best things about being a .NET developer is all the amazing ASP.NET performance tools that can make your life easier. This blog post is a list of the various types of ASP.NET performance tools at your disposal for finding and optimizing ASP.NET performance problems. Depending on the task, some of these tools will be much better than the others.

‘Enterprise class’ is a buzzword that refers to applications that are designed to be robust, flexible, and scalable for deployment by a large organization. There are no firm standards for what makes an application or platform enterprise class, but enterprise-class applications are generally: When any product is developed, there are assumptions made. These assumptions dictate how widely the tool can be deployed and what constraints it has during usage.

Does your work involve a lot of ITOps Monitoring? If so, chances are you have developed a roadmap for 2021 that addresses digital business disruption, application and infrastructure changes, and the ongoing global pandemic… And here’s an opportunity to incorporate expert advice into your plan.

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.

The Sensu Puppet module has seen another major release up to 5.x to coincide with the release of Sensu Go 6. The 5.0.0 bump for the Sensu Puppet module was a chance for us to introduce new features to better support Sensu Go 6, as well as remove code that had been deprecated and no longer needed.

In May 2020, Google introduced Core Web Vitals, a set of three metrics that serve as the gold standard for monitoring a site’s UX performance. These metrics, which focus on load performance, interactivity, and visual stability, simplify UX metric collection by signaling which frontend performance indicators matter the most.

Customer stories are one of the best ways for users to get to know a solution or tool and learn how it can solve their problems. By sharing some of our customers’ OpManager success stories, we aim to help new users and evaluators understand our solution and its wide range of functions. Let’s take a look at how Cross Company used OpManager. Founded in 1954, Cross Company is a 100 percent employee-owned engineering and automation services company.

2020 was a year of tremendous dejection and disruption. Imagine if you had told your organization’s upper management that they had to switch their 10,000 or 20,000 strong corporate office to the virtual world back in January 2020. They would have flipped. Despite all the fear and loss that 2020 brought, we capitalized on the opportunities. And even a year later, there are still possibilities galore.

Some may consider kicking off another new year with their organization a daunting continuation of 2020, however, this is not the case with LogicMonitor. Personally, coming up on my two-year anniversary, I have felt intrinsic energy from day one. With two years under my belt at LogicMonitor, and witnessing first-hand the organization growing at a rapid rate, I thought I would reflect on the opportunity at hand for my colleagues and myself.

The primary goal of our solutions is to help companies achieve specific business goals; whether that’s maintaining and improving the user experience and overall productivity, gaining valuable insight from enhanced visibility into your organization’s IT infrastructure, developing proactive strategies that mitigate the impact of service interruptions or issues, or all of the above, Martello is proud of the products and services we are able to provide.

Websites have evolved a lot since the first sites went online almost 30 years ago. We can now shop, interact, and engage with companies from our screens. Along with customers' online habits, the way browsers render HTML has also evolved. In the earlier days of the internet, server-side rendering was the standard way to get the HTML on the screen. Many sites still use it.

Did you know that hard drives have a recommended operating temperature range? Most people do not think about what happens when they turn on their computer or server and the hard drives begin to whirl around inside. Even if you have the newer solid-state drives (SDDs), you still need to know the recommended hard drives operating temperature. Hard drives store your files, data, operating system, and numerous apps.

AWS Lambda has become a core technology in the shift to cloud-native application development, eliminating infrastructure management and fixed costs. But there are trade-offs with serverless environments. Not having access to the production infrastructure can make debugging difficult and there are a lot of moving parts, adding distributed complexity. Monitoring serverless functions in production requires observability beyond CloudWatch logs and metrics.

In the software lifecycle, you need to know what is affecting the customer from your frontend code to your underlying infrastructure. However, no one to date has solved for monitoring the health of software code vs. systems at the level that we have taken on — or at the scale that our customers require, as everything from grocery shopping to gaming is now digital.

“The best laid plans of mice and men, go oft awry, and leave us nothing but grief and pain” It may sound cliché but think back on the 2020 you had laid out and the 2020 you experienced and you’ll know it’s true. No matter what company you work for or what your job description entails, I’m willing to bet you had to throw a lot of good plans out the window when the pandemic hit. And if you didn’t, call me, I’d like your advice on some lottery numbers.

If there’s one universal constant in the world of business, it’s that things will go wrong. Probably at the most inconvenient of times and in the most inconvenient of ways. It’s Murphy’s law, or, if you’re from England the much more fun, “Sod’s law”. These moments can define your business more than any other. Unfortunately, far more than usual day-to-day ever will.

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.

In this How-To, we’re going to look at a specific Catchpoint synthetic monitor that helps you analyze the health of systems built around the Internet of things (IoT). Now, IoT is obviously a huge category, so in this case, we’re going to look at systems that utilize the Message Queuing Telemetry Transport or MQTT for short.

There are multiple ways to interact programatically with Icinga. Last week Henrik demonstrated how to connect to the Icinga 2 API through the Icinga 2 Console. Working with the Icinga 2 API is probably the most obvious way to interact with Icinga. Still, I would like to suggest to you another option: How you can fetch data from Icinga Web.

It’s easy to get started with Java and Honeycomb using OpenTelemetry. With Honeycomb being a big supporter of the OpenTelemetry initiative, all it takes is a few parameters to get your data in. In this post, I will walk through setting up a demo app with the OpenTelemetry Java agent and show how I was able to get rich details with little work by combining automatic instrumentation from the agent with custom instrumentation in the code.

Grafana Cloud is the easiest way to get what you need for observability: Prometheus and Graphite for metrics, Loki for logs, and Tempo for tracing, all integrated within Grafana and managed by the Grafana Labs team. You can go from zero to beautiful graphs, insightful logs, and preconfigured alerts in minutes. Built with modern distributed systems techniques, Grafana Cloud allows you to grow with your applications and infrastructure and easily scale past 100M+ metrics.

As part of a modern software development team, you’re asked to do a lot. You’re supposed to build faster, release more frequently, crush bugs, and integrate testing suites along the way. You’re supposed to implement and practice a strong DevOps culture, read entire novels about SRE best practices, go agile, or add a bunch of Scrum ceremonies to everyone’s calendar.

Picture the scene. It’s 9am on a cold, wet, January Sunday morning in 2015 and I’m trudging up Merrion Street in Leeds. Recently made redundant, I’m on my way to a coffee shop that I’m desperately hoping is open. Am I a coffee aficionado desperate for a fix? Am I getting pumped for a gym session? Do I just enjoy walks in the rain? No. I’m on my way to a job interview.

Datadog dashboards provide a foundation for monitoring and troubleshooting your infrastructure and applications, and template variables allow you to focus your dashboards on a particular subset of hosts, containers, or services based on tags or facets. We’re pleased to announce template variable associated values, which can help you speed up your troubleshooting by dynamically presenting the most relevant values for your template variables.

Red Hat Gluster Storage is a distributed file system, built on GlusterFS and operated by Red Hat for Linux environments. With its focus on scalability, low cost, and deployment flexibility across physical, virtual, and cloud-based environments, organizations use Gluster Storage in a variety of high-scale, unstructured data storage applications.

When Cory Virok and I started Rollbar in 2012, we knew something was lacking in how software was being built. Developers continue to get better everyday at building applications — the widespread adoption of microservices architectures and open source are evidence of this. But, we realized something was still holding us back. And that was how we track and fix bugs.

Gaining enhanced visibility of your company’s IT infrastructure and developing a proactive strategy to minimize the likelihood and impact of potential issues is necessary to help maintain and improve overall business productivity. By empowering your organization with a Martello solution, you position it for success, no matter where you are in the world. Watch the videos below to learn more about our products and how they can help your business today.

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.

One of the great things about InfluxDB is that it is really easy to get up and running, and it doesn’t require much monitoring when you are dealing with datasets that fit well on your local dev machine. Once you start using InfluxDB in production and pushing orders of magnitude more data into the system, it’s critical to monitor how your instance is performing so that you can proactively respond to things like disk or network failures, memory saturation, and write or query loads.

Nobody will dispute that a common goal of DevOps pros and SREs, and really any company today, is to delight their customers more by disappointing them less. This was the theme of a recent live webinar focused on announcing a new game-changing partnership between Datadog and Moogsoft. The live session combined remarks by Moogsoft CEO Phil Tee and CTO Dave Casper on bringing together the best of these two technologies with a new seamless integration.

Today, we are launching a new Grafana Labs product, Grafana Enterprise Logs. Powered by the Grafana Loki open source project for cloud native log aggregation, and built by the maintainers of the project, this offering is an exciting addition to our growing self-managed observability stack tailored for enterprises.

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.

Speed and function. Two words to live by when analyzing and optimizing your site, but 2021 comes with the need for an additional word: accessibility. From color blind accessibility in your UI, to increasingly detailed SLAs and speed requirements, where should you be spending your valuable resources to keep your competitive edge? Welcome to the future where, Time is Money, is relevant down to the millisecond.

With an increasing number of organizations migrating their applications and workloads to containers, the ability to monitor and track container health and usage is more critical than ever. Many teams are already using the Metricbeat docker module to collect Docker container monitoring data so it can be stored and analyzed in Elasticsearch for further analysis. But what happens when users are using Amazon Elastic Container Service (Amazon ECS)? Can Metricbeat still be used to monitor Amazon ECS? Yes!

Virtualization monitoring can ensure your virtualized infrastructure is performing at its best capacity. The chances of issues on the part of the physical server escaping your sight are quite high, as several virtual machines (VM) are sharing resources. This is why it’s important to understand everything there is to virtualization and virtualization monitoring.

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.

It’s only mid-February and there’s already been a surge of websites that have gone down, and big ones too. I don’t need to tell you how damaging website downtime can be, especially since we’re spending the majority of our time online due to the Covid-19 pandemic. We are working online, studying online, banking, shopping, exercising online, the list is endless, and this extra online activity has put added pressure on the websites that help us to perform these tasks.

A decade ago, DevOps teams were slow, lumbering behemoths with little automation and lots of manual review processes. As explained in the 2020 State of DevOps Report, new software releases were rare but required all hands on deck. Now, DevOps teams embrace Agile workflows and automation. They release often, with relatively few changes. High-quality DevOps change management is no longer a nice-to-have, it’s a must. For a lot of DevOps teams, this is easier said than done.

OpenTelemetry hit an exciting milestone this week. The tracing specification has achieved v1.0.0, and the general availability of tracing APIs and SDKs is imminent!

In this post, we’re going to talk about tips for securing the reliability of Loki’s write path (where Loki ingests logs). More succinctly, how can Loki ensure we don’t lose logs? This is a common starting point for those who have tried out the single binary Loki deployment and decided to build a more production-ready deployment. Now, let’s look at the two tools Loki uses to prevent log loss.

Everyone’s software crashes. As an engineer, you don’t feel your users’ frustration unless they reach out to customer support, write bad reviews, or tweet about it. This feedback is often lacking relevant information to resolve the issue. In some cases, you can re-engage with the customer, but that process is time-consuming and inefficient. Another option would be to examine the crash reports, but sometimes they don’t give sufficient insight to fix the problem.