Azure Container Apps is a serverless platform that enables you to deploy containerized applications and microservices—regardless of their code or framework—without managing any underlying cloud infrastructure or orchestrators. By using serverless containers, Azure Container Apps can automatically scale based on HTTP requests or events supported by Kubernetes event-driven autoscaling (KEDA) in order to accommodate peak demand and meet your budgeting goals.

Continuous integration (CI) demands continous testing: shifting left helps prevent faulty code from spreading, which is one of the core aims of CI. Datadog’s new Azure DevOps extension enables you to seamlessly incorporate integration and end-to-end tests into existing CI/CD workflows on Azure Pipelines, a dedicated CI/CD service that automatically runs builds, performs tests, and deploys your services and applications via cloud-hosted pipelines.

Wi-Fi has untangled humanity, quite literally. Those jumbled Ethernet cables with their confusing ports are banished to backstage. Now, all we need is one connection to a Wi-Fi router and voila! Internet. Wi-Fi networks simplify your IT infrastructure. WLAN networks makes an office look less like a scene from The Matrix and more like a creative workspace, but it can bring an array of difficulties as well. Unlike the sturdy Ethernet cable, Wi-Fi connections fluctuate.

AIOps has been shrouded in mystery since its inception in 2017- offering little guidance beyond the promise of AI/ML-driven insights. To make AIOps less of a mystery, the experts from Forrester Research have tried to help...

We are happy to announce that we have released a brand-new SCOM Management Pack for monitoring Citrix Desktop as a Service (DaaS). Citrix DaaS is a Citrix Cloud service that allows you to securely deliver virtual apps and desktops from on-premise data centers and public cloud platforms in a hybrid deployment.

G2 has released their Fall 2022 reports, and we are thrilled to share that InfluxDB – the purpose- built time series platform, has once again ranked #1 in the G2 Grid for Time Series Databases. InfluxDB has also held its leading position in the Momentum Grid for Time Series Databases. The Momentum Grid® identifies products that are on a high growth trajectory based on user satisfaction scores, employee growth, and digital presence.

Have you ever struggled to have efficient visibility into your APM and log data? Have you ever been called on to display real-time data to your Sales or Marketing department, only to find yourself fumbling over the numbers without a way to display relevant data? Look no further! Retrace collects huge amounts of data about your application’s health and performance, then provides a customizable display in one place – your customizable APM Dashboards.

Two years ago I wrote a piece in The New Stack about the Future of Ops Careers. Towards the end, I wrote: I described the second category as “operations engineering minus the infrastructure,” dedicated to evaluating and assembling a production stack of third-party platform providers, enabling software engineers to self-serve their services and own their own code in production. I said: That second category I was describing now has a name. We call those teams "platform engineering.".

UC Today, the leading online publication for Unified Communications and Collaboration technology, recently did a deep dive on Martello’s Microsoft-recommended Vantage DX solution for monitoring Microsoft Teams and found out that delivering exceptional user experiences and avoiding a Microsoft Teams outage can be easy with the right solution in place.

Exceptions are the outcomes you do not usually expect in your application. But as a developer, expecting the unexpected is essential to capture exceptions and handle them appropriately. Exception handling is not only applicable to web development projects but also to Unity applications. This article brings everything you need to know as a beginner to Unity exception handling, including methods to handle exceptions, when to use them, and how to manage exceptions easier using distributed logging.

The following guest post addresses how to improve your services’s performance with Sentry and other application profilers for Python. Check out this post to learn more about application profiling and Sentry’s upcoming mobile application profiling offering. We’re making intentional investments in performance monitoring to make sure we give you all the context to help you solve what’s urgent faster.

MongoDB is a cross-platform NoSQL database that uses JSON-like documents with optional schema to store data. It was designed for high availability, high performance for high-data persistance use cases, and automatic scaling. Of course, all with the right infrastructure in mind. It is usually a good choice for document-oriented use cases when you need quick prototyping or massive scale. With the massive scale comes massive traffic, though.

Maximizing the value of streaming data requires carefully navigating operational tradeoffs when developing and managing cloud native applications. Organizations that are rapidly producing and processing high volumes of data — like Netflix, Salesforce, Shopify and even the United States Postal Service (USPS), are constantly applying and testing new methods to manage the complexity of data streaming in the cloud.

The Datadog platform has evolved to meet the needs of organizations that are investing in cloud-based solutions and modernizations. These organizations need professionals that are highly skilled and understand how to get the most out of the Datadog platform. With our suite of products, features, and tools in mind, we wanted to offer a path for individuals to demonstrate their knowledge of our best-in-class monitoring platform and their understanding of observability best practices.

So far in our series on scaling observability for game launches, we’ve discussed ways to 1) quickly analyze large volumes of telemetry data and, 2) ensure high-quality telemetry data for more effective analysis at lower costs. The best practices in these blogs outline best practices for scaling observability during game launch day – which is necessary to ensure high performance across all infrastructure components – to ensure no lag, no glitches, and no bugs.

Welcome to the September edition of What’s New in Sysdig in 2022! I’m Ayu Shah, Principal Sales Engineer based out of San Francisco Bay Area. I joined Sysdig a little over six months ago and it has been an exciting journey to say the least! I have worn many hats in my career, from Software Engineering to Sales and everything in between. I am excited to share some updates to What’s New in Sysdig for this month!

No matter what we do, we’ll always be surrounded by choices. Do I save money and take the bus, or do I spend money filling up my gas tank? Do I make dinner at home, or do I eat dinner out? Whatever the outcome, it’s our needs – what we require and what we can afford – that help guide us to where we should go. Technology is no exception. Especially in AIOps.

The Grafana Agent team is excited to announce Grafana Agent Flow, our newest experimental feature in today’s Grafana Agent v0.28.0 release. Flow is an easier and more powerful way to configure, run, and debug the Grafana Agent! 🎉

Every article you find about reducing Azure cost will invariably mention ensuring any unused (especially PAYG) resources are identified and shut down/deleted. However very few actually will tell you “HOW” to do this. eG Enterprise has added new functionality to enable you to identify unused, wasted and orphaned Azure resources and services without the need to resort to hacking up KQL queries or PowerShell scripts.

The demand for continuous innovation and faster delivery requires a fresh approach to monitoring modern apps and APIs. As development environments grow increasingly dynamic and complex, monitoring performance through a platform that is fully programmable, handles app and API-testing, is optimized for developers, and integrates with existing tools and workflows becomes increasingly critical.

When was the last time you had to ask someone to repeat something during an MS Teams call, or had to restart the app, just because the call quality dropped? Sounds familiar? Frustrating, isn’t it? Now imagine hundreds, if not thousands, of employees feeling this frustration at work. Think of the time lost for them, for the organization, and—more importantly—for those who’ll need to fix it. As EUC professionals, we cannot let that happen.

SquaredUp Cloud has been in development for over two years (we first previewed it at SquaredUp Live, Spring 2021). It continues our mission to unlock and summarize data – think of it like “BI for engineering”. In building SquaredUp Cloud, we drew upon what we’ve learned with our Microsoft solutions over the last ten years, and built a solution independent of any one tool, like SCOM.

The number of applications and services increases every day as more application architectures move towards microservices or serverless structures. You can process this increasing amount of time series data with real-time aggregation or with a calculation whose output is a measurement or a metric. These metrics need to be monitored so that you can solve issues and make relevant changes in your system quickly. A change in a system can be captured and observed in many ways.

Some time ago, AWS forked ElasticSearch, the most popular search engine on the planet. They had some struggles with the maintainer of ElasticSearch and decided it was time to part ways. So, with OpenSearch, there is now a new kid in town. Well, not new, but at least some kind of alternative.

Today we are living and working in a world that is digital-first and hybrid by design, with cloud, SaaS and legacy technologies working together, and employees working from everywhere. In this world, a click is everything. That action comes with intent and expectation—of a flawless digital experience. These experiences are the heartbeat of the fierce and competitive landscape we all work in.

Many renowned businesses use the well-known web framework Flask. Flask is quite famous among developers for making small and full-fledged applications. It is known for being a straightforward framework to learn hence why it is popular among established organizations. Monitoring your Flask application can be a challenge. Many important operations are happening inside of them, and if anything goes wrong, it can cause some damage.

Alert noise, as well as false positives or too few alerts, undermine the effectiveness of any monitoring solution. Inaccurate alerts condition users to draw poor conclusions. Too many alerts contribute to serious alerts going undetected. Too many false positive or non-actionable alerts cause the significance of all alerts to diminish over time. And too few alerts can lead to misreading system performance and missing critical problems.

Redis is a popular open-source, in-memory data store used across industries by a variety of companies, including Github, Stack Overflow, Twitter and Netdata! Redis supports multiple use-cases including.

We’ve just released a new feature! Presenting Public Dashboards. It is one of the most requested features in the last 6 months. People wanted to have an easy way to share the dashboard with their team and customers. Now it’s possible! And the best news is that it is accessible to every plan.

HashiCorp Consul began as an open-source project for service discovery. It has evolved to provide other valuable functionality like secure service mesh to help secure microservice architectures based on service identity, but also the ability to achieve repeatable application deployment lifecycles via Network Infrastructure Automation and control access to the service mesh via Consul API Gateway.These features are considered the four core pillars of Consul service networking.

Digital transformation requires organizational evolution. Constant demand for rapid delivery of upgrades and new products forces change. Surely, the old days of managing monolithic applications housed in private servers are over. Applications consist of virtualized, containerized, and serverless code that’s networked via APIs across a hybrid infrastructure of public and private clouds.

Observability is a very important aspect of software that’s often taken for granted. You need to have visibility into what your application is doing at different levels to better understand an issue when it occurs. There are multiple open-source tools and initiatives to help you achieve improved visibility. When we talk about observability, there are three parts to consider: logs, traces and metrics.

In microservices, distributed tracing is a method for aggregating all the operations that occur in your distributed systems that were triggered by a specific request. If these traces are visualized, developers can gain insights into how their service behaves when it’s run with other services, which helps them understand why errors occur.

This fall Amazon Prime Video became the exclusive broadcaster of the NFL’s Thursday Night Football. This move continued Prime Video’s push into the lucrative world of live sports broadcasting. While they had previously aired TNF, as it is known, this is the first season Amazon Prime Video has exclusive rights to broadcast these games. As you can imagine, airing these games has led to a surge in traffic for this OTT service.

Flux is InfluxDB’s functional data scripting language. It’s made to query, process, analyze, and act on data. It’s very powerful and is built and optimized for time series. There are so many things you can do with Flux it can be hard to know where to start. This August, InfluxDB University launched a free Intermediate Flux course taught by experts that can take your Flux skills up a notch.

What is an observability engineer? Is it your SIEM admin? How about your application performance monitoring admin? Neither? Both? Observability engineering is more than administering a tool. There is more to it than data onboarding, writing parsers, and getting data in. As an observability tool admin, you work with data producers and consumers to get data in a human-readable and searchable format from the source to the analytics system.

Comprehensive observability starts with good instrumentation. OpenTelemetry, aka “OTel,” sets a unified standard, enabling you to instrument your applications once, then send that data to any backend observability tool of choice. OpenTelemetry’s standard for generating and ingesting telemetry data is slated to become as ubiquitous as current container orchestration standards. Because of this, development teams are increasingly adopting OpenTelemetry to their applications.

Customers expect that online services are available all the time. The truth is that outages happen to almost everyone because providing 100% service availability is challenging and costly. Creating reliable and profitable service is, amongst other things, finding the balance between application availability, costs and time to market. Faster feature delivery means less availability as constant changes to production may cause issues and introduce bugs.

At Grafana Labs we run a lot of distributed databases. These distributed databases all make use of a hash ring in order to evenly distribute workloads across replicas of certain components. For a more detailed description of the architecture of our projects, check out our Mimir architecture docs.

Modern application architectures enable technologists to innovate quickly, but building apps in a cloud native environment adds complexity. Here's how to find the right observability solution for your cloud ecosystem.

The monitoring, tooling, and observability space is crowded. It’s hard to keep track of what most tools in this category originally set out to do— but if we had to guess… they were probably built to support monolithic architectures with complex systems, to give Ops and IT a way to minimize the impact of an outage.

Although there are many great tools out there to get on top of application monitoring, there’s one vital metric that’s often overlooked by us technical folks – cost. In the days of running apps on servers in private datacenters, the kit was a one-time purchase that the systems team had to deal with. But running apps in public clouds is a different story. Whether you’re running on VMs, containers in Kubernetes, or entirely serverless, execution of your code adds to the bill.

Network monitoring is ideal for getting a real-time view of your connected environment, and with reports, you can look back in time too. Logs are key to this rear-view mirror look, as they contain all the data for all the elements you are monitoring. But without network log archiving, you can only look back so far. Did you know that according to an IBM/Ponemon study, it takes an average of 287 days to discover and contain a data breach?

Incorporating Apache web server monitoring into your IT infrastructure management strategy can help identify performance bottlenecks preemptively. This proactive monitoring approach provides data necessary to ensure that your web server is up to the task and make optimizations if needed. Guaranteeing your customers a smooth and hassle-free user experience could go a long way into cementing their trust towards your organization.

.NET is a framework built by Microsoft that simplifies the complexities of developing cross-platform applications. Using.NET, developers can create powerful applications with rapid response times and more. We’re excited to announce that the Datadog Continuous Profiler now provides general support for.NET applications, including.NET Framework, .NET Core, and.NET 5+.

Staying in control of your users’ digital experience and their level of satisfaction is the most important thing you can do as a software-based business. Yet, that’s impossible to do without a monitoring strategy and tools that enable you to visualize how customers interact with your app or website from their perspective.

One question many administrators are asking is: How can I effectively and efficiently monitor Azure Virtual Desktop technology? There are several options for monitoring Azure Virtual Desktop technology and this blog will cover some of the most popular ones. In this blog, we will focus on multi-session, native Azure virtual desktops.

Last night the Channel 4 website and app suffered an outage leaving football fans unable to stream the game. The highly-anticipated game between England vs Germany took place at Wembley Stadium on Monday, September 26. Channel 4 had the rights for this match and streaming was exclusively on their website and app. Kick off was at 7.45pm, with coverage from 7:00pm. The first Channel 4 website issues reported on Down Detector came in at 7:32pm and issues continued throughout the night.

For decades, IT operations teams have relied on monitoring for insight into the availability and performance of their systems. But the shift to more advanced IT technologies and practices is driving the need for more than monitoring – and so observability evolved. With infrastructures and applications that span multiple dynamic, distributed and modular IT environments, organizations need a deeper, more precise understanding of everything that happens within these systems.

This article is the final installment in a series that demystifies observability. The first three focused on the history of observability, dispelling myths around observability, and what observability is and what it can offer. In this last article of the series (Check out part 1), I want to offer a complete definition of observability.

Complex, distributed software systems are chatty things. Because there are many components interoperating amongst themselves and with things outside their bounds like users, those components and the systems themselves emit many information signals. It’s the goal of monitoring, logging, and observability (o11y) tools to help the systems’ “stewards,” those developers and operators tasked with maintaining and supporting them, make sense of those signals.

We recently broadcast a webinar to discuss DDoS trends and developments. Our partner Cloudflare had their cybersecurity evangelist, Ameet Naik, join us along with our own Doug Madory, head of internet analysis. I had the pleasure of moderating the discussion.

Armin Müller is the co-founder of ScopeSET. ScopeSET specializes in R&D work to build and integrate tools in the model-based systems engineering domain, with a track record of more than 15 years of delivering innovative solutions for ESA and the aerospace industry. Training machine learning models takes a lot of time, so we’re always looking for ways to accelerate the process at ScopeSET. We use open source components to build research and development tools for technical companies.

Logging is a critical part of the software development lifecycle allowing developers to debug their apps, DevOps/SRE teams to troubleshoot issues, and security admins to analyze access. Cloud Logging provides a powerful pipeline to reliably ingest logs at scale and quickly find your logs. Today, we’re pleased to announce Log Analytics, a new set of features in Cloud Logging available in Preview, powered by BigQuery that allows you to gain even more insights and value from your logs.

When building alerts, engineers aim to create accurate, timely, and actionable alerts. In pursuit of this goal, many engineers will leverage PromQL throughout their careers. PromQL is the query language used by Prometheus and Alert Manager to query metrics and define alerting rules. While PromQL works very well for simple use cases, as infrastructure scales, architectural patterns grow more complex, engineering practices accelerate, and alerting use cases become more multivariate.

Thanks to the power of open source tooling and cloud services, shipping an application to production has never been that easy, In this blog post, we are going to go from bootstrapping a Next.js application to deploying it on Vercel. We will use Github Action to handle the Continuous Integration and Sentry to monitor the application once it is deployed to be warned of any problems as soon as it arrives.

Synthetic monitoring can be one of the most powerful tools in your DevOps team’s toolkit, especially for the SRE, yet is one that is often overlooked by people building out a reliability mindset. Synthetic monitoring permits you to simulate any transaction or interaction users can have in your website or app, from places around the world, as often as you’d like.

Kubernetes is one of the most well-known open-source systems for automating and scaling containerized applications. Usually, you declare the state of the desired environment, and the system will work to keep that state stable. To make changes “on the fly,” you must engage with the Kubernetes API.

It's not like it used to be back in the day! Before CI/CD, we were building on-premises, service-oriented products following system style architecture and we were able to map out the build system and end-to-end process in a PowerPoint or Visio document. Although time-consuming and inefficient, it was relatively straightforward and the build pipeline was unlikely to change drastically. But that's no longer the case.

Banking is about financial transactions. These are executed by sending payments and instructions over middleware. If you control the middleware, then you control the business. If the middleware fails, then the company fails. If you can see and analyze the transactions going through the middleware, you can see the business itself. And if you have real-time analytics of that data and it’s automatically actioned, then you can innovate and accelerate the company’s development.

How easy is it to work with your security tools? So easy that you’re telling all your family and friends and you singing their praises from the occasional rooftop? Well, we sure hope so. Security tools, like any other tool, should help you save time, not waste it. Nobody would have invented a drill if screwdrivers were fast enough — but it’s also up to you to make sure you are using your drill and all the other power tools available in the modern world.

We’re excited to announce the general availability of the Mezmo Agent 3.6, which introduces Windows support to our Rust Agent. At the end of this blog, we’ll also highlight important updates to our Agent Deprecation schedule.

The post-pandemic world is more digital. Covid-19 fundamentally impacted how we live, work, interact, and shop. And while some of the structural trends (such as the rise in remote work or shifting consumer preferences) were already underway, the pandemic accelerated them by a significant number of years. The competitive landscape is digital, and the winners and losers are defined through the customer experience they provide.

Application Performance Monitoring (APM) is great for tracking the health and performance of your software tool. APM helps you understand what's happening inside your application by monitoring various parameters such as CPU/memory stress, internal network throughput, and more. However, mixing in log analytics can take your APM game up a notch. Almost all software tools generate logs when they run.

Pandora FMS, an international benchmark in system monitoring, becomes technology partner of the French company M81. The French platform has extensive experience in the sector since its creation in 1988 and is currently considered one of the great experts when it comes to monitoring IBM i systems. Thanks to this agreement, Pandora FMS will transfer this type of solutions to Spanish companies to improve IT management and the efficiency of the different work areas.

The question isn't whether an incident will happen: it's when it will happen. Systems will crash. Software will fail. Vendors will suffer an outage of their own. It's your job to be prepared for these problems, and incident severity levels are one of the tools you need. Incidents have varying impacts on your business and customers. Incident severity levels are how you classify their impact and manage your response.

It's always interesting to hear what feature requests dashboard users share with our product team. Sometimes it's big things — such as being able to set tokens on drilldowns — and sometimes it's little things. In Splunk Cloud Platform 9.0.2208, we've included a handful of Dashboard Studio "little things" updates.

At MetricFire, we focus on integration with your infrastructure. As one of our business values, MetricFire strives to ensure you can integrate your infrastructure with our Hosted Graphite monitoring service easily. Our engineers are committed to going above and beyond in finding solutions to get our customers the insights they need.

Communication service providers are finding themselves at a crossroads – growing competition is exerting pressure on revenue and costs, while the need to revolutionize operations is pressing. The only way for providers to to set themselves apart from competitors is to deliver top-notch services and incorporate innovative technologies that will ultimately lead to growth and operational efficiency.

Software as a Service (SaaS) companies are constantly striving to ensure customers have an exceptional user experience when utilizing their service. The fierce competition in the modern business puts more pressure on companies to meet their customers’ expectations or risk losing them to a market rival. The success or failure of a solution and the underlying organization can rest on the ability to create an engaging and innovative user experience.

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 product release that helps all InfluxDB Cloud UI users get more from their graphs.

It may seem like ancient history, but there was a time when telecommunications companies only had to worry about connecting customers over landlines. Today, their businesses depend on vast cellular networks to not only provide strong wireless phone coverage in countless locations, but also handle the demands of tablets, computers, and machine-to-machine communications.

Your phone buzzes with an incoming text message right when you’re about to start dinner. Inconvenient, but better than a 3 am call. It’s an Uptime.com Alert, and if you want to clear it before your dinner gets cold you need the right tools for investigation… If that scenario sounds familiar to you, then you’re in good (if tired) company.

Organizations are adopting cloud native and multi-cloud architectures to drive innovation, achieve faster time to market, improve yield, and deliver exceptional experiences to their customers. However, for all the business benefits of modernizing, the process does not come without challenges.

We know there are a couple of dashboard solutions for which integration with SCOM can or could be created. However none of them integrates better and more easily than SquaredUp Dashboard Server for SCOM. It integrates with the SCOM platform out-of-the-box, leverages the SCOM object model to the fullest and is very easy to create dashboards with. For most use cases you do not even have to create dashboards, as the product comes with many out-of-the-box community dashboard packs.

Sentry has made it a priority to support frontend JavaScript developers, regardless of the framework they use. This is why we have SDKs for React, Angular, Vue, Ember, NextJS and more! There’s one more SDK joining that list now - our brand new Sentry Remix SDK for the Remix framework. Remix is a new full-stack JavaScript framework that helps you build web applications with React, with a focus on following web standards and optimizing for performance.

Project managing global software projects is always a challenge, contending with multiple time zones, tools, and teams. In these environments, the day-to-day life of a Project Manager is filled with status collections, project reporting, and little time for much else. While the detail will always matter – like team bug data, feature status, and build progress – there is a better way than collecting and reporting on all this data manually. Does this scenario sound familiar?

Network monitoring is the key to efficient, reliable operation, as well as performance and security. The deeper and more broadly you can monitor (yes, you want to do both), the better your network operates. What if you could combine a superstar in network infrastructure monitoring with the champion of network flow monitoring? You can. Progress, owner of WhatsUp Gold, recently acquired Kemp and their market-leading Flowmon solution.

Share: VictoriaMetrics is a monitoring solution. It was designed to collect and process telemetry from many systems, provide a retrospective view, and forecast metrics for capacity planning. But what about monitoring VictoriaMetrics itself? There is one of the software development approaches called Observability Driven Development (ODD). In a nutshell, it means that developers should always keep in mind that software needs to be transparent to the person who uses it. Does your software make backups?

We recently announced a FREE ready-to-go standalone SaaS logon simulator tool for Microsoft AVD, available here. This joins our fully featured logon simulator available for use on-premises, as SaaS or in the cloud within our synthetic monitoring suite. A logon simulator, whilst a useful tool, should be used in conjunction with other synthetic and real user monitoring tools for a truly proactive IT strategy designed to prevent real users encountering issues and raising support tickets.

We’re excited to announce our next major release for Icinga Director, version 1.10! The new release comes with plenty of fixes, but also with some nice new features. Check out the full changelog for all details.

In Part I in our series outlining best practices for scaling observability, we reviewed the data analysis capabilities that can help engineers troubleshoot faster during high pressure situations during a game launch. Nobody wants lag time or crashes in their game launch. Similarly, no one wants terminated sessions or for your gamer customers to log off and play a competitor’s game.

On August 17, 2022, an attacker was able to steal approximately $235,000 in cryptocurrency by employing a BGP hijack against the Celer Bridge, a service which allows users to convert between cryptocurrencies. In this blog post, I discuss this and previous infrastructure attacks against cryptocurrency services. While these episodes revolve around the theft of cryptocurrency, the underlying attacks hold lessons for securing the BGP routing of any organization that conducts business on the internet.

Monitoring Red Hat OpenShift brings up challenges compared to a vanilla Kubernetes distribution. Discover how Sysdig Monitor, and its exclusive features in OpenShift, will help you monitor and troubleshoot your issues fast and easily. OpenShift builds many out-of-the-box add-ons into its Kubernetes foundation. For example, the OpenShift API server, Controller Manager, Ingress, or Marketplace ecosystem. This creates a more complex environment that can cause you to struggle.

We’re adopting Honeycomb with our teams, however, we’re trying to set up Availability Checks for our services like we’ve done with previous providers. How do we do that in Honeycomb?

StatusGator has a wide a variety of use cases: from education to help desk to IT and managed services and DevOps, too. All corners of an organization depend on cloud services and StatusGator gives you visibility into the status of all of your vendors. We’ve heard over and over from our DevOps users that alerts and notifications for their teams are already centralized into a single incident management platform such as OpsGenie, PagerDuty, or FireHydrant.

When COVID-19 hit, Yonatan Mevorach faced an unexpected challenge, which required an unexpected solution. The Infrastructure Team Lead at Wix, the popular website building platform, was accustomed to looking at multiple monitors on the walls of the software company’s offices in Tel Aviv, Israel. These monitors cycled through Grafana dashboards to help the team keep tabs on Wix’s many services.

Have you ever watched a movie (*cough* Godfather III) and said to yourself: “wow, this is so incredibly bad — I don’t think this can get worse!” But then it does. Much, much worse. Well, having a down, slow, or dysfunctional website is similarly nightmarish — just when you think the reputation devastation is finally over, there’s more on the horizon. With apologies to Shakespeare: hell hath no fury like a customer scorned. Not convinced?

Level 4, Proactive Observability With AIOps, is the most advanced level of observability. At this stage, artificial intelligence for IT operations (AIOps) is added to the mix. AIOps, in the context of monitoring and observability, is about applying AI and machine learning (ML) to sort through mountains of data looking for patterns.

Many renowned businesses use the well-known web framework Flask. Flask is quite famous among developers for making small and full-fledged applications. It is known for being a straightforward framework to learn hence why it is popular among established organizations. Monitoring your Flask application can be a challenge. Many important operations are happening inside of them, and if anything goes wrong, it can cause some damage.

The crontab man page (“man 5 crontab” or read online) contains this bit: What does it mean precisely? If you specify both the day of month and the day of week field, then cron will run the command when either of the fields match. In other words, there’s a logical OR relationship between the two fields.

Since it first emerged, Java has had a phenomenal rise in usage and popularity. It’s ability to be robust and platform-independent has enabled it to rule the application development world by providing internet solutions for businesses across industries. Any organization that runs its mission-critical applications on Java shouldn’t be turning a blind eye towards understanding the importance of application performance monitoring.

The Dynatrace platform is a software-driven monitoring platform that simplifies enterprise cloud complexity and accelerates the pace of digital transformation for enterprises. There are many top solutions on the market, but Dynatrace is one of the most popular for its ability to monitor both mobile apps and real users simultaneously. By offering a shared platform for understanding metrics, Dynatrace also helps developers, operations, and business teams improve performance.

With Icinga Reporting you can create custom SLA reports for hosts and services that are monitored with Icinga. The module for Icinga Web fetches existing data and takes planned downtimes into account. You can filter for certain hosts and services as well as set custom thresholds to highlight unmet SLAs visually. You decide if you want to create the reports either manually or automatically, for example every week or month. The report then is sent to you as a PDF via email.

The barriers of entry in the service provider industry have come down-causing the MSP market to grow by nearly 33% last year and reaching nearly $355 billion by 2026.

Five ways to align security, collaboration and business outcomes to drive world-class, secure applications experiences.

Do you experience this: Your brain seems to explode because there is so much you try to fit into ”working” memory? It can happen on a Friday afternoon, after a busy work week. Or on a Monday, looking at your calendar while figuring out how to fit in all those meetings and still get real work done.

September is here, and that means many retailers have already begun preparing for the upcoming holiday season. One weekend in particular tends to be the real-life stress test that companies have come to develop a love-hate relationship with: Cyber Weekend. Or more specifically, Black Friday, Cyber Monday, and the weekend in between.

As another autumn fast approaches, any look back at the summer would be incomplete without a review of the latest round of Gartner Hype Cycle reports. The Gartner Hype Cycles are an annual summer ritual, a series of reports published every July (and sometimes August) that track the maturity, adoption and business impact of technology innovations.

MQTT is becoming the standard protocol for applications that operate in environments where network connectivity is intermittent or unreliable, reducing bandwidth usage is a priority, or where hardware resources are limited. In this post you will learn about some specific use cases where businesses are seeing value from making MQTT part of their tech stack.

The technology company Pandora FMS, specialized in system monitoring, takes a step further towards growth becoming the first national technology capable of offering monitoring solutions, both for IBM i systems (formerly known as AS400) and for much more modern systems. A development that, after several decades, means the full coexistence of IBM i with more recent systems.

Microsoft Teams is a cloud-based software within the Microsoft 365 application suite. The tool creates a highly collaborative and engaging environment with multiple organizational business units. As a modern unified collaboration (UC) platform, Microsoft Teams uses cloud-based calling, video meetings, messaging, chat, screen sharing, and third-party app integration. However, to ensure a great employee experience, IT must develop and execute Microsoft Teams monitoring use cases.

It’s the coolest day of the year again—time to honor and celebrate the people who work behind the scenes to keep our businesses running: IT professionals! Established in 2015, IT Professionals Day is celebrated each year on the third Tuesday of September to celebrate the unsung heroes of the IT world. Join us as we wish all IT pros worldwide a very happy IT professionals day! Kudos to the IT pros!

Datadog Audit Trail provides administrators and security team members visibility into how different users and teams within their organizations use and interact with various Datadog products and observability data.

Today’s enterprises can relate to this logic, especially concerning digital transformation projects. They have broken systems that need fixing, but they also spend a lot of effort fixing systems that don’t necessarily need those levels of intervention. Specifically, companies often face a dilemma: digital modernisation requires apps and systems to be upgraded and operate in the new technology norms. Yet those same systems often exist for good reasons.

It’s not surprising that most failures are caused by a change somewhere in a system, such as a new code deployment, configuration change, auto-scaling activity or auto-healing event. As you investigate the root cause of an incident, the best place to start is to find what changed. To understand what change caused a problem and what effects propagated across your stack, you need to be able to see how the relationships between stack components have changed over time.

Databases are often the biggest bottleneck when it comes to application performance. Over the years a number of new database designs have emerged to help with not only basic scalability and performance but also to help improve developer productivity and make building certain types of applications easier. That isn’t to say these new databases are magical — there are always trade-offs being made and certain things are sacrificed for gains in other areas.

Today is one of the most special days in Nexthink history. I personally believe that founding and growing a tech company is mainly about developing amazing technologies which have the potential to change how people work. With the launch of our new Infinity platform, I feel we are truly transforming how digital workplace teams get their jobs done—not only for themselves but for all the employees in their companies.