Microsoft 365 services help companies worldwide improve business and revenue by providing best in class digital workspace experience. The NiCE Active 365 Management Pack complements this by advanced M365 monitoring such as full Teams Call analysis integrated into Microsoft SCOM. Advanced monitoring and analytics help you reveal unwanted micro-events influencing the health and performance of the system and its users.

Many organizations use Kubernetes to orchestrate their containerized applications. But because Kubernetes is complex, application developers may take some time to ramp up on the intricacies of monitoring a Kubernetes environment. This means that teams often need to create internal documentation and offer hands-on training to bridge the knowledge gap.

A wide variety of industrial processes rely on water, and before it can be used, it needs to be treated to remove dissolved substances. Minerals have to be filtered out so they don’t form scales on equipment as water is heated and cooled, and bacteria needs to be removed in cases involving human health. Ekopak is a Belgian company working to make water treatment more sustainable by using less water and energy where possible.

Application teams must understand what their customer experience is like. This is true not only from a general perspective (in terms of usability and responsiveness) but also on a day-to-day, minute-by-minute basis. In particular, when you work with distributed systems, errors are inevitable. Site traffic fluctuates throughout the day, and any one of a system’s dependencies could also encounter an issue at any time.

Machine learning has infiltrated the world of security tooling over the last five years. That’s part of a broader shift in the overall software market, where seemingly every product is claiming to have some level of machine learning. You almost have to if you want your product to be considered a modern software solution. This is particularly true in the security industry, where snake oil salesmen are very pervasive and vendors typically aren’t asked to vigorously defend their claims.

In Part 1 of this series, we talked about the origins of observability and why you need it. In this blog (Part 2), we will cover exactly what observability is, what it isn’t, and how to get started. Before we can dive into how to approach observability, let’s get one thing clear: You can’t buy a one-size-fits-all observability solution.

Service virtualization is not new. In fact, the concept and technology were established 20 years ago. At its core, service virtualization offers the ability to simulate behavior, data, and performance characteristics of applications and services. Through service virtualization, teams can ensure they have an on-demand environment to support their testing needs.

Redis is an open-sourced, BSD 3 licensed, highly efficient in-memory data store that can be easily used as a distributed, in-memory key-value store, cache, or message broker. It is known for being extremely fast, reliable, and supporting a wide variety of data structures, making it a very versatile tool widely adopted across the industry. Redis was architectured with speed in mind and is designed in a way that it keeps all the data in memory.

In this tutorial we’ll learn how to use Python to get time series data from the OpenWeatherMap API and convert it to a Pandas DataFrame. Next we’ll write that data to InfluxDB, a time-series data platform, with the InfluxDB Python Client. We’ll convert the JSON response from our API call to a Pandas DataFrame because I find that that’s the easiest way to write data to InfluxDB.

For the past 25 years, I’ve been monitoring networks, applications, services, basically anything digital on a quest to understand “when is it safe to cross the road”! We all know, just blindly crossing a road is EXTREMELY dangerous!

Companies must effectively monitor their assets and networks in today's competitive setting, get the most significant result, and react swiftly to problems. However, such a situation is unusual with companies that continue to run in a traditional, isolated setting. These companies frequently don't have precise asset performance tracking procedures.

We’ve got a lot of OpenTelemetry-flavored honey to send your way, ranging from OpenTelemetry SDK distribution updates to protocol support. We now support OpenTelemetry logs, released a new SDK distribution for OpenTelemetry Go, and have some updates around OpenTelemetry + Honeycomb to share. Let’s see what all the buzz is about this time! 🐝🐝

Hello, I’m Callum. I work on Grafana Loki, including the hosted Grafana Cloud Logs offering. Grafana Loki is a distributed multi-tenant system for storing log data — ingestion, querying, all that fun stuff. It also powers Grafana Cloud Logs.

In this technical deep-dive, we'll show you how to leverage AppDynamics to observe the state of the Amazon AWS Elastic Container Service.

Microservices have grown to become one of the most optimal alternatives to monoliths. However, just building your app and releasing it to the public isn’t everything. Monitoring microservices is as important as building and releasing them. You need to maintain it to resolve issues that may occur and also introduce new features from time to time.

We’re excited to share new Splunk capabilities to help measure how code performance impacts your services. Splunk APM’s AlwaysOn Profiling now supports.NET and Node.js applications for CPU profiling, and Java applications for memory profiling. AlwaysOn Profiling gives app developers and service owners code level visibility into resource bottlenecks by continuously profiling service performance, at minimal overhead.

Achieving cost savings is one of the main drivers for cloud adoption. But for most companies, controlling cloud spend is much more challenging than anticipated. In a recent survey, 94% of IT decision makers report they are overspending in the cloud. Our own survey on cloud costs revealed 90% of executives say better cloud cost management and cost reduction is a top priority.

As in any high-growth environment, expanding your suite of products and capabilities can contribute to a growing backlog of errors, and challenges prioritizing them… a scenario not lost on the team at Airtable, a connected apps platform that more than 300k organizations, including 80% of the Fortune 100, rely on to connect their teams, data, and workflows. To support organizations like Amazon and IBM, Airtable ships new features and updates through multiple deployments a week.

The leap to remote work happened nearly overnight with the pandemic, and it’s clear that hybrid work and digital dexterity is the way of the future. As a result of this shift in the way we work, companies have invested in new technologies to adapt to the growing remote world, with 69% of companies planning to increase their investment in digital tools even more in 2022. Additionally, over 90% of businesses strive to implement hybrid work environments.

You typically don't and shouldn't need to know where a web app is deployed. At least not from within the code of the web app itself. I keep seeing questions related to this, though. There are a range of reasons why this can still be relevant like if you want to generate and output an absolute URL in an MVC controller or Razor page. Here's a blog post about how to get the base URL in ASP.NET Core. Let's rewind a bit before we start looking into the code. All websites are deployed somewhere.

After some drawbacks we are very happy today to finally release Icinga for Windows v1.10.0! The past weeks we have spent a lot of time to polish this release, test many different aspects and optimize the user experience in general. Please make sure to read the upgrading docs carefully, before upgrading to v1.10.0. Otherwise, your installation might not work as expected, or Icinga for Windows might not load anymore.

Let’s admit it: end-to-end testing is a technical challenge. How do you make features testable? What testing framework should you use? When should you run your test suite? There are so many things to learn and consider. At Checkly, we want to ease end-to-end monitoring so that you can focus on shipping excellent software instead of figuring out how you monitor and test it. But before getting into our latest feature addition, let me answer the above questions.

Employees are returning from vacation, the weather is (finally) cooling down and summer is coming to a close. It can feel a bit overwhelming returning to work and getting back into the swing of things. When it comes to website monitoring, there are simple steps you can take to make sure your transition is as smooth as possible. Take advantage of a few ounces of pre-vacation prevention to save on pounds of post-holiday cure.

At VMware, we are on a mission to build a comprehensive, extensible, and intelligent monitoring and observability platform to help businesses run seamlessly. Over the past few years, we have evolved our platform to deliver invaluable end-to-end observability across applications and infrastructure.

Whether you’re using InfluxDB to record massive amounts of historical stock market data to analyze the current economic trends or simply to monitor the number of times the lights in your smart home turn on and off to cut down on wasted electricity, a sudden shock or delay in the flow of incoming data can be detrimental to your operation in the majority of scenarios.

In this blog, we examine how anomaly detection helps by setting up healthy alerts and providing efficient root cause analysis. Anomaly detection, part of AIOps, guides your attention to the places and times where remarkable things occurred. It reduces information overload, thereby speeding up RCA investigation.

Cloud services are the number one source of unexpected overspending for companies today. As a result, cloud financial management is a major focus for most organizations. But how do you track the success of cloud efficiency? Full allocation of multicloud costs is a critical component for understanding your actual cloud services usage, establishing cloud cost management ownership, and creating accurate budgets and forecasts at the line of business, project, application and even team levels.

FSLogix is a profile management solution used to apply personalization to user sessions for application and desktop virtualization technologies such as Citrix and Microsoft Azure AVD (Azure Virtual Desktop) and enable “roaming profiles”. It used to be common to copy a profile to and from the network when a user signs in and out of a remote environment. Because user profiles can often be large, sign in and sign out times often became unacceptable.

In this post, we’ll discuss two functions in the Cribl Stream arsenal: The Aggregations function, which allows you to perform stats and metrics collection in flight, and the Chain function allows you to call one Pipeline from within another. The event flow will continue when the Chained Pipeline returns. To demonstrate their use, we’ll answer this question: How long did it take for Cribl to process events using your pipeline?

As a principal engineer on the Splunk Real User Monitoring (RUM) team who is responsible for measuring and monitoring our service-level agreements (SLAs) and service-level objectives (SLOs), I depend on observability to measure, visualize and troubleshoot our services. Our key SLA is to guarantee that our services are available and accessible 99.9% of the time.

In need of expert-tested, easy-to-use business templates to help you save time and improve productivity? Well, here’s a bundle of templates for business planning, financial planning and budgeting, inventory management, and more. For example.

In computer science, systems are typically divided into two categories: software and hardware. However, there is an additional layer in between, referred to as middleware, which is a software pipeline—an operation, a process, or an application between the operating system and the end user. This article aims to define middleware and reflect on its necessity, as well as address controversies about when and where it applies.

As organizations continue to expand their cloud footprint, managing costs without risking application performance is a priority. Because of this, Arm processors have become popular for their efficient, cost-effective processing power. Microsoft Azure’s new series of Azure Virtual Machines are powered by Ampere Altra Arm-based processors, which provide excellent price performance for scale-out and cloud-native workloads.

With its market size reaching more than $2 billion in 2020, you’d think that a universal definition of the term observability would have emerged by now. But it turns out that a clear definition of a term or industry isn’t necessarily a prerequisite for the rapid growth of its market size — just ask everyone at your next dinner party to define blockchain for you and see how many different answers you get!

Managing on-call schedules and escalation chains, especially across many teams, can get cumbersome and error prone. This can be especially difficult without as-code workflows. Here on the Grafana OnCall team, we’re focused on making Grafana OnCall as easy to use as possible. We want to make it easier to reduce errors with your on-call schedules, create schedule and escalation templates quickly, and fit on-call management into your existing as-code patterns.

Someone once described dashboards to me as “expensive TV for software engineers.” At first, I stood there quietly shocked—dashboards had informed many root cause analyses (RCAs) in my life as a developer.

Your liveness and readiness HTTP endpoints can generate a bunch of useless Spans and can mess with your latency metrics. On this post we’ll learn how to configure Kamon Telemetry to completely ignore these enpoints for good.

Microsoft Azure’s recently launched new Azure Virtual Machines (VMs) feature the Ampere Altra Arm-based processor. These new VMs are engineered to efficiently run horizontally scalable workloads such as web servers, application servers, and open source databases. They deliver excellent price-performance and represent an important addition to Microsoft Azure's portfolio of instance types.

You’ve probably heard something like this before: “It’s a managed service! We don’t need to worry about anything!” But when it comes to your production workloads, database monitoring is imperative. With the new Snowflake Dashboards and Detectors in the Splunk Observability Content Contributors repository you can start seeing the details of individual Snowflakes.

Food retailers reduce the workload accumulated by their IT areas by almost 30% thanks to monitoring. Controlling data and extensive information from the whole company, by controlling, supervising and ordering everything through the same system, allows to reduce the times of action in the face of possible errors and failures, improves resource management and organization and increases the effectiveness of the business activity. In addition, monitoring saves costs.

LogSnag is the new kid on the block, but we bet that it will become relevant in this space soon. Today we will show you how to monitor outages and get alerts for your third-party services within LogSnag. What is LogSnag? Here's the intro, but you can learn more at LogSnag official website.

Logs are key to monitoring the performance of your applications. Kubernetes offers a command line tool for interacting with the control plane of a Kubernetes cluster called Kubectl. This tool allows debugging, monitoring, and, most importantly, logging capabilities. There are many great tools for SREs. However, Kubernetes supports Site Reliability Engineering principles through its capacity to standardize the definition, architecture, and orchestration of containerized applications.

Akamai is one of the world’s largest CDN solution providers, helping companies greatly accelerate the secure delivery of content to their users all across the globe. Akamai provides this content delivery through its Intelligent Edge Platform, which is made up of hundreds of thousands of edge servers distributed around the planet.

As distributed environments become more complex, users often use distributed tracing tools to improve the visibility of issues evident within their traces. Throughout this post, we will examine some of the best open-source and other generally popular distributed tracing tools available today.

Given the global health crises the world has faced over the last few years, the need for expeditious but accurate medical trials has never been more important. The faster clinical trial data is validated, the faster medicines get approved and treatments become available. Pinnacle 21’s customers are driving forces behind creating life-saving treatments.

If you’re in the market for a new SAP HyperScaler, you may have been wondering what exactly you should look for. Maybe you’re wondering which model is best for your needs. Don’t worry, we’ve got you covered. We’ve done all the research and found the best SAP HyperScaler on the market. You’ll also find a buying guide to help you navigate the process and find the right SAP HyperScale server for your needs.

ManageEngine OpManager MSP is a reliable solution solely developed to help managed service providers with monitoring client networks and servers exhaustively. It has a wide range of out-of-the box features to help MSPs in their multi-client network monitoring journey. The ManageEngine team works hard to make products that cater to the needs of MSPs, which is why OpManager MSP undergoes regular improvements, because even the most feature-rich tools need tune-ups every now and then.

So, you have launched a website intending to reach a worldwide audience? If you're running a business, this could be the first step to growing your brand. But is your website really ready to go global? After all, just because your website works for a user in the United States doesn't mean it will be accessible to a user in Japan. For one, not everyone speaks the same language. Does your website offer translation for users visiting from different global locations?

CrashLoopBackOff is a Kubernetes state representing a restart loop that is happening in a Pod: a container in the Pod is started, but crashes and is then restarted, over and over again. Kubernetes will wait an increasing back-off time between restarts to give you a chance to fix the error. As such, CrashLoopBackOff is not an error on itself, but indicates that there’s an error happening that prevents a Pod from starting properly.

PromQL is a flexible language designed to make it easy for users to perform ad-hoc queries against their data. By default, Prometheus indexes all of the fields in each metric except for source and target, which are not indexed by default. Prometheus is an open-source tool that lets you monitor Kubernetes clusters and applications. It collects data from monitoring targets by scraping metrics HTTP endpoints.

We are happy to announce that file provisioning for Grafana Alerting has arrived in Grafana 9.1. This feature enables you to configure your whole alerting stack using files on disk, as you may already do with data sources or dashboards. The Terraform Grafana provider has also been updated to allow the provisioning of Grafana Alerting resources.

Efficient manufacturing is important for saving companies time, money, and energy. Making decisions based on data can improve efficiency, but there’s a lot of data to sort through. Manufacturing equipment contains many sensors, especially in the IIoT space. Overall Equipment Effectiveness (OEE) was first described by Seiichi Nakajima in the mid-twentieth century as part of his Total Productive Maintenance (TPM) method.

Software applications have become crucial for business growth and success in today's world. However, as businesses become increasingly competitive, the necessity to provide top-notch software applications is also increasing. Additionally, as organisations gravitate towards developing extensive, feature-rich applications, they are witnessing an increase in software complexity – that can often cause things to get out of hand very quickly.

When evaluating a monitoring product, it is essential you fully understand its alerting capabilities. Alerting is a responsive action triggered by a change in conditions within the system being monitored. Typically, an alert can be defined by a condition to trigger the alert and an action defining what that alert should do when the trigger condition occurs.

Recent events have changed the world forever. For network operations (NetOps) teams, it means there’s no going back to the way things used to be. Virtually overnight, teams had to adapt to work-from-anywhere (WFA) models. The move to SaaS, cloud, and SD-WAN continue to accelerate—and in the process fundamentally alter the nature of network environments.

Edgecast is a global network platform that provides a content delivery network (CDN) and other solutions for edge computing, application security, and over-the-top video streaming. Using Edgecast’s JavaScript-based CDN, teams can improve web performance by caching static and dynamic content with low latency and minimal overhead.

Earlier this year, Job Snijders and I published an analysis that estimated the proportion of internet traffic destined for BGP routes with ROAs. The conclusion was that the majority of internet traffic goes to routes covered by ROAs and are thus eligible for the protection that RPKI ROV offers. However, ROAs alone are useless if only a few networks are rejecting invalid routes.

With the Grafana 8.5 release, we introduced the concept of service accounts. Now with the Grafana 9.1 release, we’re making service accounts generally available. This is a project that came out of technical necessity, but it has given us the opportunity to reflect on API tokens and machine-to-machine interaction across Grafana Labs.

Telegraf is a very powerful open source plugin-based agent that gathers data from stacks, sensors, and systems and sends it to a database. It collects data from an input and sends it to an output, and gives you the option to transform data with aggregators and processors before it reaches its endpoint.

SLOs—or Service Level Objectives—can be pretty powerful. They provide a safety net that helps teams identify and fix issues before they reach unacceptable levels and degrade the user experience. But SLOs can also be intimidating. Here’s how a lot of teams feel about them: We know we want SLOs, we’re not sure how to really use them, and we don’t know how to debug SLO-based alerts. Don’t worry, we’ve got your answer—observability!

As organizations increasingly adopt cloud-first strategies, it’s important to have data stores that have internet-level scalability to power these cloud native applications. For applications running on Azure, the logical choice is Azure Cosmos DB.

At Broadcom Software, we strive to build the most scalable operational software in the market. We work to ensure that our network monitoring software can track how constant network changes affect user experiences. As a global provider of networking equipment, we understand that there will always be changes happening on today’s enterprise networks, especially the internet. That’s why we build and refine our monitoring software to align with constant change.

Site reliability engineering (SRE) is what you get when you treat operations as if it’s a software problem. The mission of an SRE practice is to protect, provide for and progress the software and systems offered and managed by an organization with an ever-watchful eye on their availability, latency, performance and capacity.1.

When troubleshooting an incident, DevOps teams often get bogged down searching for errors and unexpected events in an ever-increasing volume of logs. The painstaking nature of this work can result in teams struggling to resolve issues before new incidents appear, potentially leading to an incident backlog, longer MTTR, and a degraded end-user experience.

The financial services industry has been under increasing pressure during the past several years to view operational resilience and their risk management postures as being symbiotic in the wake of rising operational incidents and increasingly frequent security threats.

The best part of my job is talking with prospects and customers about their logging and data practices while explaining how Cribl focuses on getting more value from observability data. I love to talk about everything they are doing and hope to accomplish so I can get a sense of the end state. That is vital to developing solutions that provide overall value across the enterprise and not just a narrow tactical win with limited impact.

You’ve probably seen Rush Hour, a logic puzzle where you have to slide cars and trucks out of the way to steer the red car towards the exit. In real life, when your customers are responsible for tracking hundreds or thousands of data points from dozens of valuable, mission-critical sensors, you’re tracking engine speed, network signal level, distance from the RF, and more—and not just through traffic but across continents.

Azure Advisor analyzes your configurations and usage telemetry and offers personalized, actionable recommendations to help you optimize your Azure resources for reliability, security, operational excellence, performance, and cost. Azure Advisor is a free service and can be accessed via the GUI on the Azure portal where recommendations are collated and can be manually examined. Azure Advisor makes recommendations for potential improvements in several areas, including.

Welcome to another month of What’s New in Sysdig in 2022! I’m Joshua Ma, a Customer Solutions Engineer based out of sunny Los Angeles. I joined the Customer Success team at Sysdig five months ago. After having my first taste of K8s, containers, and Falco at the North America KubeCon/CloudNativeCon in 2019, I haven’t looked back since!

In the quest for business transformation and digital modernization, organizations have rapidly adopted devops frameworks, microservice architectures, serverless technologies, and containerized infrastructures. However, they have realized that legacy tools cannot adequately address the newer security and monitoring challenges associated with modernization. Sysdig’s mission is to make every cloud platform secure and reliable from source to run.

Streaming time series data from brokers and services that are on-premises or in the cloud to a cloud-based database is a resource-intensive process requiring third-party software and heavy customizations. Today we’re announcing InfluxDB Native Collectors to make it easy for developers to collect, process, and analyze data by subscribing directly to supported message brokers.

SAN FRANCISCO — August 23, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced new serverless capabilities to expedite time series data collection, processing, and storage in InfluxDB Cloud. InfluxDB Native Collectors enable developers building with InfluxDB Cloud to subscribe to, process, transform, and store real-time data from messaging and other public and private brokers and queues with a click of a button.

The way organizations process logs have changed over the past decade. From random files, scattered amongst a handful of virtual machines, to JSON documents effortlessly streamed into platforms. Metrics, too, have seen great strides, as providers expose detailed measurements of every aspect of their system. Traces, too, have become increasingly sophisticated and can now highlight even the most precise details about interactions between our services. But alerts have remained stationary.

In the monitoring industry there’s a complicated and frustrating conversation that persisted over the years: how do you deal with the enormous volume of data generated by instrumentation? On one side of the aisle, you will find a cohort of vendors and developers telling you that you have to sample data, followed immediately by another group telling you that sampling will ruin the accuracy of incident analysis. They’re both right.

Kubernetes is the most popular container orchestration tool for cloud-based web development. According to Statista, more than 50% of organizations used Kubernetes in 2021. This may not surprise you, as the orchestration tool provides some fantastic features to attract developers. DaemonSet is one of the highlighted features of Kubernetes, and it helps developers to improve cluster performance and reliability.

gRPC is an open-source Remote Procedure Call (RPC) framework developed by Google and released in 2016. Although gRPC is still relatively new, large organizations are adopting it in increasing numbers to build APIs that connect complex microservice meshes that use disparate languages and frameworks. gRPC-based APIs can perform requests up to seven times faster than REST APIs and enable customers to easily implement SSL authentication, load balancing, and tracing via plug-in libraries.

Roaming in the world of cloud technology not only helps you take a glance at the realm of cutting-edge technology but also helps you get familiar with concepts such as monitoring and observability. This article will cover an introduction to monitoring and the need for monitoring applications. From here, we will look at how you can utilize the data received when monitoring an application. This will allow us to understand how the concept of observability fits in with monitoring.

When it comes to a website’s performance, we all know the universal rule: speed matters… a lot. Beyond a good user experience, it’s a key factor in what Google is specifically looking—and testing—for. If you need a refresher, here it is, straight from Google: And what exactly does Google consider fast?

In this post, we’ll look at how you can use OpenTelemetry to monitor your unit tests and send that data to Honeycomb to visualize. It’s important to note that you don’t need to adopt Honeycomb, or even OpenTelemetry, in your production application to get the benefit of tracing. This example uses OpenTelemetry purely in the test project and provides great insights into our customer’s code. We’re going to use xUnit as the runner and framework for our tests.

When we say “logs” we really mean any kind of time-series data: events, social media, you name it. See Jordan Sissel’s definition of time + data. And when we talk about autoscaling, what we really want is a hands-off approach at handling Elasticsearch/OpenSearch clusters. In this post, we’ll show you how to use a Kubernetes Operator to autoscale Elasticsearch clusters, going through the following with just a few commands.

Grafana Tempo 1.5 has been released with a number of new features. In particular, we are excited that this is the first release with experimental support for the new Parquet-based columnar store. Read on to get a high-level overview of all the new changes in Grafana Tempo! If you’re a glutton for punishment, you can also dig into the hairy details of the changelog.

Today we are happy to officially announce that InfluxData has donated a generic object store implementation to the Apache Arrow project. Using this crate, the same code can easily interact with AWS S3, Azure Blob Storage, Google Cloud Storage, local files, memory, and more by a simple runtime configuration change. You can find the latest release on crates.io. We expect this will accelerate the pace of innovation within the Rust ecosystem.

There have been amazing articles on the subjects of migrating from a monolith to a microservice architecture e.g. this is probably one of the better examples. The benefits and drawbacks of the architectures should be pretty clear. I want to talk about something else though: the strategy. We build monoliths since they are easier to get started with. Microservices usually rise out of necessity when our system is already in production.

When building systems that need to scale above a certain number of users, we usually can’t stay on one machine. This is where cloud providers like AWS usually come into play. They allow us to rent VMs or containers for small intervals. This way, we can start a few different machines when more traffic hits, and when it goes down later, we can simply turn off our extra capacity and save money. The question is, how does all this traffic get to our new machines? AWS Elastic Load Balancing!

Your company has a product/service that needs to be up and running 24/7 or serving customers worldwide? Heads up, you might need an on-call team. In this article, we’ll start with the basics of what is on-call and why it is important.

OpenTracing was an open-source project developed to provide vendor-neutral APIs and instrumentation for distributed tracing across a variety of environments. As it is often extremely difficult for engineers to see the behaviour of requests when they are working across services in a distributed environment, OpenTracing aimed to provide a solution to heighten observability.

InfluxDB is an open-source time series database. Built to handle enormous volumes of time-stamped data produced from IoT devices to enterprise applications. As data sources for InfluxDB can exist in many different situations and scenarios, providing different ways to get data into InfluxDB is essential. The InfluxDB client libraries are language-specific packages that integrate with the InfluxDB v2 API. These libraries give users a powerful method of sending, querying, and managing InfluxDB.

We love to write and ship code to help developers bring their ideas and projects to life. That’s why we’re constantly working on improving our product to meet developers where they are, to ensure their happiness, and accelerate Time to Awesome. This week, we are covering a featured product release that we think will save you time and effort when onboarding to time series and InfluxDB.

OpenTelemetry is a free and open-source software initiative with the objective of supplying software developers with the means to create distributed systems. OpenTelemetry was developed by engineers at Google, and developers have the ability to utilize it to create a standard foundation for the construction of distributed systems. The goal is to enable developers to write code once and then deploy it in any location of their choosing.

If an energy cable running through the waters surrounding Denmark gets damaged by a passing vessel, does it make a sound? Yes. . . and it’s the ping of a Grafana alert at the offices of Energinet, an independent public enterprise owned by the Danish Ministry of Climate, Energy, and Utilities.

OpenTelemetry is a collection of tools and APIs for collecting, processing, and exporting telemetry data from software. It is used to instrument applications for performance monitoring, logging, tracking, tracing, and other observability purposes. What is Telemetry? The word is derived from the Greek “tele” meaning “remote,” and metron meaning “measure.” So, it’s the collection of metrics and their automatic to a receiver for monitoring.

In 2018, Honeycomb co-founder & CTO Charity Majors wrote a blog post titled, “An Engineer’s Bill of Rights (and Responsibilities).” We’ve recently updated and reposted it.

Virtual desktop infrastructure (VDI) is a technology that refers to the use of virtual machines to provide and manage virtual desktops. Users access virtual desktops from their laptops, desktops, thin clients, or mobile devices from anywhere. Virtual desktops are hosted in a data center, on servers, and all the necessary processing is done on the server that hosts the virtual desktops.

Inc. is shining a light on Mezmo as one of the fastest growing companies in the nation. We are truly honored to be featured alongside innovative brands like Sentry and Calendly, who are building the future of tech. Our position on the list at number 695 reflects our 900% growth in revenue and 300% growth in the size of our team from 2018 to 2021.

On July 8 of 2022, the Canadian telecom company Rogers Communications suffered a major outage that impacted most of Canada for almost two days. This wasn’t completely unprecedented (they’d had an outage in 2021 that impacted their wireless servers for several hours) but the breadth and severity of this one is going to end up costing them far, far more than it seems at first glance.

Earlier this year, we announced that one of our goals for this year is to bring the UI of Oh Dear to the next level. Behind the scenes, our team is working hard on a complete rewrite of our marketing website and app. We're currently targeting the end of September timeframe to launch our redesign. In this blog post, we'd like to give you a preview of the redesign.

Traces, logs, and metrics provide inherently different views into a system, which is why correlating between them is important. With features like exemplar support, trace to logs, and span references, you can quickly jump between most telemetry signals in Grafana. With the release of Grafana 9.1, we’re improving Grafana’s ability to correlate different signals by adding the functionality to link between traces and metrics.

I’m a recent entrant to the Website Monitoring game, but there is one thing I realized straight away: A Monitoring tool is only as good as it’s configured to be. Website monitoring is at its best when it’s reliable, informative, and efficient. When it gives you the information you need, when you need it, and the peace of mind to say “if I’m not being alerted, I know it’s still working.”