Data observability is a relatively new discipline in the fields of data engineering and data management. While many are familiar with the longstanding concepts of observability and monitoring in enterprise IT networks and infrastructure, data observability has only really come into the spotlight in the last two years. However, it has managed to turn a lot of heads in that short time.

HostedGraphite provides a complete infrastructure and application monitoring platform from a suite of open-source monitoring tools. Use Hosted Graphite and view all required metrics on beautiful dashboards in real time. Hosted Graphite offers a wide range of tools, add-ons, and plugins which make it possible to measure, analyze, and visualize large amounts of data about your applications with ease.

If you’re unfamiliar with observability, you might think an “observability engineer” is just a fancy way to say data admin — but while observability engineers often work with data admins, they work toward different goals. Data admins monitor information to identify and fix known security issues. Observability engineers work to provide a complete picture of all the data a company aggregates and what it means for a business.

The internet of things is one of my favorite topics. IOT enables low-powered connected devices that opens gateways from the digital to the real world. While I love tinkering away with an Arduino sketch and the latest Espressif or Arduino board, there is always an air of frustration when trying to build out what at first seems like simple functionality using one of these “smart devices” because of the limited view we have into their operations.

This article was originally published in The New Stack and is reposted here with permission. Working with geo-temporal data can be difficult. In addition to the challenges often associated with time-series analysis, like large volumes of data that you want real-time access to, working with latitude and longitude often involves trigonometry because you have to account for the curvature of the Earth. That’s computationally expensive. It can drive costs up and slow down programs.

I like to leverage our technologies to ensure our products have a pleasant user experience. Elastic Synthetics enables you to configure it in an out-of-the-box experience directly through your Elastic Cloud deployment without the need to install anything! It also works across the globe with multiple locations you can choose from. Ever wondered how fast your web service is when accessed from Japan, Germany, or the eastern U.S.? Now you can do this by simply clicking on a checkbox.

Cloud Logging launched Log Analytics powered by BigQuery. The top 10 reasons to get started with Log Analytics for no additional cost

It may surprise you to hear, but Honeycomb doesn’t currently have a platform team. We have a platform org, and my title is Director of Platform Engineering. We have engineers doing platform work. And, we even have an SRE team and a core services team. But a platform team? Nope. I’ve been thinking about what it might mean to build a platform team up from scratch—a situation some of you may also be in—and it led me to asking crucial questions. What should such a team own?

Users live in the sunlit world of what they believe to be reality. But, there is, unseen by most, an underworld. A place that is just as real, but not as brightly lit. The Kernel Parameter side (apologies to George Romero). Kernel parameters aren’t really that scary in actuality, but they can be a dark and cobweb-filled corner of the Linux world. Kernel parameters are the means by which we can pass parameters to the Linux (or Unix-like) kernel to control how that it behaves.

When I speak with customers, especially chief information security officers (CISOs), one of their most consistent requests is that they want interoperability. They want the software they buy to work with the software they have and plan to buy in the future. Nearly every organization, certainly every enterprise company, has an installed base of hardware and software representing a significant investment in time and money.

Netdata’s Cassandra collector documentation explains how to set it up to collect metrics automatically. Once you have followed the instructions in the docs and have installed and configured Netdata on the Cassandra cluster you are ready to start monitoring and troubleshooting.

Modern AIOps doesn’t just fix outages — it prevents them – Is your business one accidental click away from a major outage? We saw it happen with Atlassian earlier this year. You may already have an incident management strategy and monitoring, but is it adjusted for the ever-changing IT infrastructure and application architectures? Putting appropriate protocols in place ensures that one human code push can’t shut down an entire system for three weeks.

The database market has seen a tremendous boost over the past years. Although database environments have become much more reliable and performant, there is still good reason to monitor dedicated IBM Db2 on-premise or cloud deployments. The NiCE DB2 Management Pack complements highly advanced availability and performance monitoring based on Microsoft System Center Operations Manager, freeing up valuable admin time while keeping crucial deployments safely up and running.

How to set up a basic React app, query data from InfluxDB Cloud and use the queried data to populate results using Apache ECharts.

Hopefully by now you’re taken your first sip of Elastic RUM, or real user monitoring, and see the power of searching through traces and the User Experience metrics to gain insights into how users actually use and experience your application. One issue you may have experienced is the challenge of finding the source of errors for minified JavaScript files.

Database bloat is disk space that was used by a table or index and is available for reuse by the database but has not been reclaimed. Bloat is created when deleting or updating tables and indexes. Here's how to deal with it!

Context is king, in particular if you are troubleshooting your stack. Having all the right information from your observability platform to understand the behavior of your stack is fundamental for solving problems. With our StackState Observability Platform v5.1 release, StackState takes a big step forward to provide you even more information that is crucial for making decisions and for finding the root cause of an issue faster.

Virtually every business utilizes some form of data collection, no matter how big or small. While large-scale enterprises have more established methods for collecting, storing and analyzing data, smaller companies and start-ups are also beginning to understand the value of data collection and analysis in order to: This is especially true in the age of Big Data and democratized data — where we have more data-driven insights available to us than ever.

When you first hear “Robotic Process Automation” (RPA) you might immediately think of a manufacturing line with a series of physical robots each doing their part to build something. RPA is SO much more than that! The “bot” in this sense is an AI powered piece of software that can interface with any system you run today just as a human would.

Being a network admin of an enterprise network, you know better than anyone how disastrous network downtimes might be. The cost of downtime study conducted by Gartner in 2014 found that network downtime costs $5,600 per minute on an average, but this number can range from $2,300 to $9,000 per minute. With organizations moving towards sophisticated networks built on hybrid infrastructures, network downtimes are becoming more frequent and costly.

cAdvisor (container advisor) is an open-source container-monitoring platform developed and maintained by Google. It runs as a background daemon process for collecting, processing, and aggregating data into performance characteristics, resource usage statistics, and related information about running containers. With built-in support for Docker and literally any other container type out of the box, cAdvisor can be used to collect data on virtually any type of running container.

Hybrid cloud has become a popular computing model in recent times. Find out all you need to know, including its features, pros and cons As computing needs evolve, enterprises continuously find it difficult to scale their business offerings on private or on-premises computing environments. That’s why there are third-party or public cloud providers to enable businesses to carry out larger computational workloads.

For several decades, IT monitoring has been deployed in different forms. The focus of IT monitoring has been to gather metrics about the operations of an IT infrastructure’s hardware and software assets to ensure that all the key functions are being performed as expected to support applications and IT services. In the recent past, the term Observability has been used as a synonym for “modern monitoring”.

October has, as usual, been a busy month, and Sysdig announced many new features. In Sysdig Monitor, we announced the release of four new Advisories and Yaml config support for Advisor. In Sysdig Secure, we released Severity filtering in Insights, Pod and Node activity view in Insight and four new Falco rules added to the Rules Library. Each of these are discussed in detail below.

The best part of my job is talking to you, our prospects, and customers, about your logging and data practices. I love listening to what you are doing and hope to accomplish, so I can get a sense of the end state. My goal is to brainstorm solutions that provide overall value across the enterprise, and not just aim for a narrow tactical win with limited impact. In late September, I hung out at a local DevOps conference in Brooklyn with the NYC Cribl sales team.

One of the significant features announced with InfluxDB IOx is native SQL support. Even if SQL isn’t the lingua franca of the computing world, there are no doubt those that could make a case for it. There seems to be some dialect of SQL in virtually every corner of the internet.

Kubernetes has become the de facto standard for cloud-based applications. As companies migrate more and more workloads, ensuring reliable connectivity and performance are critical not just for user applications but also for the cluster itself. In this article, we will discuss how augmenting your system monitoring with in-cluster synthetic testing can give you proactive indicators that something might be headed for trouble.

Stable network connections are your business’s lifeline. Vital elements of your modern workplace—such as hybrid working, SaaS application usage, and online collaboration—depend on good network performance, contributing to employee productivity and satisfaction. But when network problems started to escalate for one of our customers, they realized they needed to look beyond their traditional network performance monitoring tools to solve the issue.

When IT budgets are tight—and they almost always are—pressure comes down to cut costs, streamline technology stacks, and overall do more with less. And when a recession hits, you’re going to see your budget get slashed—unless you can transform your IT department from a cost center to a strategic partner in recession planning and cost efficiency.

Written by Liz Fong-Jones and Phillip Carter. OpenTelemetry, also known as OTel, is a CNCF open standard that enables distributed tracing and metrics collection from your applications. At Honeycomb, we believe that OpenTelemetry is the best way to ingest the high-cardinality and high-dimensional data that every system, no matter how complex or distributed, needs for observability.

What are the important Cassandra metrics to monitor and how to monitor them.

This is a beta for the upcoming release of Graylogv5.0. Please read on for detailed descriptions of everything that is included.

Following up on my previous piece on the real cost of downtime, I wanted to take a minute to list three ways to reduce the cost of downtime.

Automatic UI Updates (AUIU) is a new cloud service that allows admins to get the most up-to-date UI experience between Splunk Cloud upgrades. Cloud admins gain early access to newly enhanced self-service tools through the AUIU opt-in service. Specified AUIU enhanced pages and tooling can now be delivered to customers up to three months faster. AUIU is a delivery service that allows for new UI pages and UI improvements to be integrated into Splunk Cloud deployments for specific enhanced admin pages.

Brand loyalty might be on the decline, but ecommerce is on the rise. Ecommerce is on track to account for 24% of global retail sales by the end of 2026. Source: Statista And as businesses reach growth limits in their local markets, the industry is seeing more ecommerce brands expanding onto the global stage. 76% of online shoppers have made purchases on sites outside of their own countries.

Asynchronous communication between various CX applications has long been made possible by enterprise messaging solutions like IBM MQ and – more recently – Apache Kafka. Developers might assume that these two technologies are interchangeable. However, once they scrape the surface, critical differences between IBM MQ and Apache Kafka come to light.

For many organizations, making the most of the visibility Datadog offers into the health and performance of their infrastructure means displaying dashboards to stakeholders in various settings continuously and in real time. But the standard solutions for sharing dashboards to large-format displays can be onerous, involving sundry software and hardware and restrictive manual setups. These solutions can also pose significant security risks, since they tend to involve sharing passwords or devices.

Among the 12 greatest stressors in life, six revolve around healthcare issues. From loss of a loved one to pregnancy and even retirement, these events often involve interactions with healthcare services — interactions that can either add to an individual’s stress or, ideally, help alleviate it.

My father worked with some of the very first computers ever imported to Italy. It was a time when a technician was a temple of excellence built on three pillars: on-the-field experience, a bag of technical manuals, and a fully-stocked toolbox. It was not uncommon that missing the right manual or the correct replacement part turned into a day-long trip from the customers’ site to headquarters and back.

How enterprises store and split up observability and security data is a great analogy to how lint, spare change, and partially-eaten bags of popcorn end up under couch cushions. Or when you tell your kids to clean up the house when company is coming over and they stash their toys and your tools in various nooks and crannies.

Organizations of all sizes rely on their observability data to drive critical business decisions. Production Engineers across Development, ITOps, and Security use it to understand their systems better, respond to issues faster, and ultimately provide more performant and secure user experiences. But while the value of observability data is well understood, teams struggle to derive value from it.

Although Java has been around for 27 years, enterprise applications still favor it as one of their preferred platforms. Java's functionality and programming flexibility increased concurrently with technological advancement, keeping it a useful language for more than 25 years. Outstanding examples of this progression include new garbage collection algorithms and memory management systems.

As long as humans have written software, we’ve needed to understand why our expectations (the logic we thought we wrote) don’t match reality (the logic being executed). To that end, we developed techniques to help measure reality—logging text strings, or capturing aggregated metrics—and persevered, seeking out newer and fancier logging or monitoring solutions over the intervening decades.

Learn more about application security, why it matters and how to strengthen your security posture with these critical steps.

In the first post of this series, I detailed ways companies considering cloud adoption can achieve quick wins in performance and cost savings. While these benefits of the cloud certainly remain true in theory, realizing these benefits in practice can be increasingly difficult as applications and their networks become more complex.

Two years ago I announced that InfluxData was working on a new core for InfluxDB, a project we named InfluxDB IOx. InfluxDB IOx is a cloud-native, real-time, columnar database optimized for time series data built in Rust on top of Apache Arrow and DataFusion. Today I’m excited to announce that we deployed our next-generation storage engine that’s built on InfluxDB IOx in our InfluxDB Cloud platform.

Rebuilt and reimagined storage engine built on open source project InfluxDB IOx delivers faster queries, unlimited time series, and introduces SQL for writing queries and BI tool support.

Our own Chief Revenue Officer, Todd McNabb, recently sat down with Melissa Graham, Sr. Vice President of Global Sales at SHI International, to discuss our new partnership.

We often hear the term load used to describe the state of a server or a device, but we're here to tell you what it means, precisely, and how to monitor it.

When you design architecture to monitor your digital assets - either software applications or hardware devices, you need to use different strategies depending on your monitoring target. The factors you want to consider can vary including methods of retrieving monitoring data, frequency of data collection, and how you want to surface metrics and insight you find to stakeholders. In this article, we will mainly discuss how we can monitor your network SNMP devices using Hosted Graphite.

If you’re finding it a little difficult to sift through all the varying, often conflicting information surrounding the topic of network observability, you’re certainly not alone.

HAProxy is generally the frontend layer of your application, which means it plays a critical role since all traffic first lands on this layer. Because of this, you need to make sure everything is working at this layer all the time, as any issue can directly impact your business. Therefore, having visibility on this layer is crucial. Visibility can come from two aspects: the metrics HAProxy emits and the logs it generates while handling requests.

Today, we're announcing the launch of Honeycomb Service Map. This isn't your grandparent's version of a service map. This feature reimagines what it is that you want to know or investigate when looking at visualizations of how your services communicate with one another.

Employee engagement is the key to boosting IT workplace productivity in an organization. But bad digital employee experience (DEX) can result in disengagement, hurting your company’s net income and increasing employee turnover. According to Gallup’s 2022 Workplace report, disengaged employees cost the global economy a whopping $7.8 trillion loss in productivity. For US companies, the cost is around $350 billion for a single year.

Kafka vs RabbitMQ – A side-by-side comparison of the performance and architectural differences between the two popular open-source messaging systems. As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka – Which one is a better message broker?

A reliable database system is necessary in the IT operations of an organization to ensure unhindered delivery of information. This is especially true when it comes to business-critical applications, as disruptions in a database system directly impact the end-user experience, ultimately harming your revenue and reputation. Learn about the difficulties inherent to database systems and how monitoring helps resolve these problems.

With billions of devices and applications producing time series data every nanosecond, InfluxDB is the leading way to store and analyze this data. With the enormous variety of data sources, InfluxDB provides multiple ways for users to get data into InfluxDB. One of the most common data formats of this data is CSV, comma-separated values. This blog post demonstrates how to take CSV data, translate it into line protocol, and send it to InfluxDB using the InfluxDB CLI and InfluxDB Client libraries.

Understanding if your applications are not just available but also functioning as expected is critical for any organization. Third-party dependencies and different end-user device types means that infrastructure monitoring and application observability alone are not enough to spot and minimize the impact of application anomalies.

We’re excited to announce our beta launch of Kentik Kube, an industry-first solution that reveals how K8s traffic routes through an organization’s data center, cloud, and the internet. With this launch, Kentik can observe the entire network — on prem, in the cloud, on physical hardware or virtual machines, and anywhere in between.

Microservices architecture is the new norm for building products these days. An application made up of hundreds of independent services enables teams to work independently and accelerate development. However, such highly distributed applications are also harder to monitor. When hundreds of services are traversed to satisfy a single request, it becomes difficult to investigate system issues.

Lambda is the glue that holds serverless architectures together. Before its release, most users felt it was a matter of luck as to whether AWS would let you connect a service to another. If not, you had to spin up a VM or a container to transform the events from one service in a way that your target service could handle them. Since Lambda was easier to set up, people assumed that all code they would deploy on it would run faster and cheaper than on other compute services.

The systems used by businesses today are complex and usually involve more than one software system. This can make it difficult for businesses to ensure that all of their systems are working together effectively. The SAP system, used by businesses around the world, is one of the most complex and comprehensive software systems used today.

The spine is essential to perform every activity, like crawling, walking, or swimming. Just as the spine is necessary to enable these functions, your Kubernetes infrastructure needs a backbone to be efficient and effective. So if Kubernetes clusters act as the spine of your architecture, then Kubernetes nodes are like the vertebrae — they make up a Kubernetes cluster in the same way the vertebrae form the spinal column.

If you build or maintain code in GitHub, the Honeycomb Buildevents Action can help you optimize the performance of your build pipelines in GitHub Actions. This blog introduces you to the gha-buildevents Action and a new hands-on quickstart guide that will show you the inner workings of GitHub Actions workflows, the buildevents tool, and the Honeycomb UI.

Recent economic shifts have affected many in the tech sector; while some of us are seeing significant reductions with hiring freezes and small layoffs, others are continuing business as usual. However, this zeitgeist has all of us looking at expenses that feel not reasonably necessary.

Every organization has business objectives (BO). These objectives can focus on numerous areas across the company and be related to almost anything within the organization: Identifying core objectives is important for the ongoing success of organizations. Objectives help keep organizations focused on what is deemed important for the future, which, of course, differs for each organization.

The most important part of disk usage monitoring is to check the utilization of each filesystem and each mount point which can reveal existing or impending issues with the storage space on your infrastructure.

Cloud-native infrastructure has become the standard for deploying applications that are performant and readily available to a globally distributed user base. While this has enabled organizations to quickly adapt to the demands of modern app users, the rapid nature of this migration has also made cloud resources a primary target for security threats.

You go for a run, and when you’re done, your buddy, adidas Running, will tell you how you did. Maybe you hit a new goal this run or need encouragement to work harder next time. No matter what, behind the scenes there is a dedicated team of engineers relying on the stable foundation of RabbitMQ. Ever since sports tracking apps saw the light of day, it’s almost like a workout without tracking, somehow is less valuable to us. Imagine a run streak on day 1,000 without functioning measurements!

Recently I joined a team to run a ‘Ragnar’. A ‘Ragnar’ is a running race where you and an additional seven teammates run a course that typically lasts around 24 hours non stop. Our team joined over 300 other teams running this Ragnar trail course in the middle of the woods in northern Wisconsin. This course consisted of three loops, a 3 mile loop, a six mile loop and a seven mile loop.

Ask any cloud software team using Kubernetes (and most do); this powerful container orchestration technology is transformative, yet often truly challenging. There’s no question that Kubernetes has become the de-facto infrastructure for nearly any organization these days seeking to achieve business agility, developer autonomy and an internal structure that supports both the scale and simplicity required to maintain a full CI/CD and DevOps approach.

This article was originally published on HackMD and is reposted here with permission. Presently organizations are unable to monitor millions of embedded Linux devices in real-time. With so many different architectures and device types, aggregating telemetry and metrics and viewing that data in a centralized analysis tool is problematic. Onboarding embedded Linux devices into a telemetry service so that metrics can be easily observed is a significant challenge.

You’re probably bored with talking about Covid – we certainly are. But something that we still find interesting is that in the modern workplace, how people now interact with one another, how they work together and the communication tools that they use play a critical role in boosting their overall productivity. Because of the pandemic, many of us now split our time working between the home and the office – so how can we reimagine the modern workplace to get the most out of it?

Today, Grafana Labs announced a strategic partnership with Isovalent, the creators of Cilium, to make it easy for platform and application teams to gain deep insights into the connectivity, security, and performance of the applications running on Kubernetes by leveraging the Grafana open source observability stack.

Getting existing telemetry into Honeycomb just got easier! With the release of the Datadog APM Receiver, you can send your Datadog traces to the OpenTelemetry Collector, and from there, to any OpenTelemetry-compatible endpoint. Often, evaluating a new tracing solution requires re-instrumenting your applications from the ground up in a new vendor’s tooling. It’s a pretty high bar to clear just to see if a solution is worth adopting.

In the first three parts of this series around improving performance in your Django applications, we focused on database, code optimization, and frontend optimization. In part 4, we will focus on ways to improve the speed of the Django applications.

Philadelphia, PA – October 24th, 2022 – Goliath Technologies, a leader in end-user experience monitoring and troubleshooting software for hybrid cloud environments, announced a strategic partnership with Google to help businesses with a Google Enterprise license quickly identify and isolate the true root causes of IT performance issues, determining if it is related to Google ChromeOS & ChromeOS Flex devices or other components of their infrastructure by automatically and intelligently corre

In part 1 of this series, we talked about zombie data and what it means for your observability architecture. In this post, we’ll talk more about how to handle all of it. How well can your organization handle the firehose of data it’s collecting? Yes, you have the ability to collect it, but chances are you don’t have the financial or human resources available to analyze all of it effectively.

Dashboards are not just tools for businesses and other organizations to monitor and respond to their data, but can be a method of storytelling. All of our data has the potential to be crafted into compelling narratives, which can easily be accomplished with the help of Dashboard Studio’s customizable formats and advanced visualization tools. We can take a series of disparate datasets and bring them together in one place if they share a common theme — in this case, Halloween.

We’ve reached the point where our ability to collect data has actually exceeded our ability to process it. Nowadays, it’s commonplace for organizations to have terabytes or even petabytes worth of data sitting in storage, waiting patiently for well-intentioned systems admins to eventually analyze it.

OpenTelemetry (OTel), an open source project under the Cloud Native Computing Foundation (CNCF), is a collection of tools, APIs and SDKs for generating and collecting observability data (mainly trace, metrics and logs) from cloud-native applications. An industry-standard for distributed tracing and observability, OTel enables analyzing application health and performance to ensure production-readiness and support production monitoring.

Network topology can get very complicated in the cloud, especially when you’re sending data to external SaaS providers. You will likely need to configure gateways and firewalls and keep close tabs on those points of egress. However, if your infrastructure exists within AWS, there’s a much simpler way and that’s through an AWS PrivateLink endpoint.

Your IT Infrastructure team faces untenable demands on their time and resources as your organization increasingly relies on complex hybrid infrastructures and an ever-growing set of technologies and cloud-based services. You can actually limit visibility and slow triage as you add monitoring tools to cover this expansion, blocking critical insight into your environment at the IT service level. What’s really required to be successful in today’s IT infrastructure environment?

The life of a sysadmin or SRE is often difficult, but occasionally very simple things can make a huge difference. Basic monitoring of your systemd services is one of those simple things, which we sometimes overlook. The simplest question one would want to know is if the thing that’s supposed to be running is actually running at all. If you use systemd services, you can guarantee an answer to that question within minutes using Netdata.

Experience monitoring is a powerful tool and an advantage to any administrator. However, even with the tooling, sometimes the view isn’t always complete. Most monitoring tools focus only on the resources being accessed. Some bring in additional information about the hosting and networking those resources are on. But in any EUC solution, the device that is accessing is integral to the end-user experience.

Redis is designed to be fast. In most cases, it is. However, there are times when Redis may be slow, due to network issues, disk latency, or other factors. When this happens, it is important to be able to detect the slow down and investigate the cause. Latency is the maximum delay between the time a client issues a command and the time the reply to the command is received by the client. Redis has strict requirements on average and worst case latency.

Can it help businesses? Machine learning is an inescapable buzzword for many in the operations sector. Even friends and colleagues tend to make us aware of a new ML tool that may or may not be useful. While there are many ML tools in the market, not all are suitable for every business. Some tools, when tested, struggle to solve basic, everyday use cases. Therefore, when evaluating ML tools, other deeper questions and issues do arise.

DevOps is an IT delivery concept that combines people, practices and tools with the shared goal of accelerating the development of applications and services. Adopting DevOps at enterprise level typically requires: The continuous development of DevOps practices, as well as other factors like the rapid pace of modern code changes, facilitates a need for DevOps monitoring: a set of tools and processes to support the entire software development lifecycle.

The Splunk App for Chargeback provides the ability to analyze and manage how internal business units, departments, and individuals are consuming Splunk resources. The three main features of the App are: The Splunk App for Chargeback allows you to manage, monitor, and forecast resource utilization in your shared Splunk environment. You can use Splunk App for Chargeback to focus on any business unit, department, or an individual user.

AIOps stands for artificial intelligence for IT Operations. AIOps, is a set of tools and algorithms that gather data from the entire IT environment, including different monitoring systems, log files and other IT data sources. It then analyzes and applies machine learning algorithms to determine the root cause of an incident. This means that instead of having to go through a long troubleshooting process by analyzing log files and manually looking for root causes, AIOps does it for you in minutes.

There are a lot of ways to get data into InfluxDB, including over a dozen client libraries, hundreds of Telegraf plugins, and Native Collectors. Native Collectors let you directly ingest data from a cloud broker to InfluxDB Cloud so you don’t need to install anything else or write extra code.

Wow, what a year it has been since the release of our last major version 21.11. This year we’ve focused on automation, improving the automation engine we delivered with 21.11.0 across our minor releases for the year and we’ve already received great feedback from our customers. Avantra 23.0 brings all these improvements together with even more automation features, the next release of our new UX project, new automation integrations and much more.

Platforms like New Relic simplify enterprise cloud complexity, accelerating digital transformation, and simplifying cloud management. Their company serves over 10,000 businesses worldwide with AIops, distributed tracing, browser monitoring, infrastructure monitoring, and synthetic monitoring solutions. As a result of New Relic's lack of onboarding support, some engineers have complained about burnout while implementing the solution.

AppSignal for Elixir now provides out-of-the-box support for Finch. If your Elixir app sends requests to another web app, you're likely already using Finch. We wanted to ensure that AppSignal's analytics provided performance data on a per-request level.

The real beauty of this modern, cloud-fueled, DevOps-driven world that we are living in is that it’s so highly composable. In so many ways, we’ve been freed from the limitations and structures of the previous annals of software and technology history to build things the way that we want to, and however we choose to do so.

Uptime is the time period when your website and all of its contents are fully functional and accessible. It is expressed as a percentage, thus if your web is up 99% of the time, you can expect more than 7 hours of downtime every month. Downtime, as the name suggests, is when all or a portion of your service is unavailable. Disruptions result and potential customers are lost. Uptime monitors are useful for correctly logging, assessing, and informing on each downtime.

I am thrilled to announce that ScienceLogic posted its best quarterly sales bookings in our company’s history! Amid warnings from the broader tech industry slowdown, ScienceLogic proved once again to be an outlier, as current macro trends continue to drive strong demand for IT transformation.

Microservices are being used every where and for good reasons. They do provide you with many benefits especially improved focus and cutting the time to market. Microservices do bring complexities too. Monitoring microservices is complex because of simply the number of them. Monitoring a user transaction requires monitoring many microservices. Correlating the data from them to identify the root cause manually is a nightmare especially in a complex environment with 100s or 1000s of microservices.

If you have arrived at this page but need a quick refresher on what Azure Active Directory is and why it is different to Active Directory that you might have installed on-premises, you might like to first read this quick run-down – What is Azure Active Directory.

According to the Python Developers Survey 2021 Results, the majority of developers don’t actively use frontend tools. This means if you wanted to create interfaces to display machine learning models and other systems you’ve built, you most likely need the assistance of another developer.

Over the last few months, a common and recurring theme in our conversations with users has been about managing observability costs, which is increasing at a rate faster than the footprint of the applications and infrastructure being monitored. As enterprises lean into cloud native architectures and the popularity of Prometheus continues to grow, it is not surprising that metrics cardinality (a cartesian combination of metrics and labels) also grows.

Grafana Loki is Grafana Labs’ open source log aggregation system inspired by Prometheus. Loki is horizontally scalable, highly available, and multi-tenant. In addition, Grafana Cloud Logs is our fully managed, lightweight, and cost-effective log aggregation system based on Grafana Loki, with free and paid options for individuals, teams, and large enterprises.

Sometimes an IT ticket is just an IT ticket. But far more often, when one or a few tickets are submitted, it means there are many more users and systems exposed to the same issue. IT issues can quickly get out of control and affect many employees, sometimes overnight. When these get out of control, they can become “top call drivers” that bring your team, department, business lines, and even entire business to a halt.

When you want to direct your observability data in a uniform fashion, you want to run an OpenTelemetry collector. If you have a Kubernetes cluster handy, that’s a useful place to run it. Helm is a quick way to get it running in Kubernetes; it encapsulates all the YAML object definitions that you need. OpenTelemetry publishes a Helm chart for the collector. When you install the OpenTelemetry collector with Helm, you’ll give it some configuration.

Redis is an open-sourced, BSD 3 licensed, highly efficient in-memory data store. It is used widely in the industry because of its incredible performance and ease of use. It can easily be used as a distributed, in-memory key-value store, cache, or message broker. It can hold virtually any data structure, making it highly versatile. Redis was architectured and developed with speed in mind and designed to keep all the data in memory.

Sentry Alerts ping you on Slack, Microsoft Teams, or Pager Duty when something goes needs your attention. However, too many alerts can turn your notification channel into an endless noise feed. I spoke with dozens of Sentry customers in the past 6 months, and something I heard over and over again was “Sentry can get noisy at times” and “There are days I can’t keep up with Sentry notifications because we get so many of them”. Does this sound familiar?

As defined by Amazon Web Services, DevOps is the integration of cultural concepts, practices, methods, and tools which allow an organization to provide services and applications at high speed: advancing and improving their products at a much faster rate than those using traditional software process for infrastructure management and development. This allows organizations to serve clients more effectively and compete in the market.

Testing early and often in the development cycle is a must for ensuring that your application meets user expectations. Poor performance and errors can alienate users and prevent you from meeting crucial benchmarks and OKRs. Additionally, having to constantly implement fixes after new, under-tested features are added can fatigue developers and strain your resources, making your organization less nimble overall.

Remote collaboration tools have transformed how remote and hybrid teams work synchronously. But while the current popular chat forum and video conferencing solutions are inarguably helpful, few were created with software development and operations in mind. CoScreen is the only real-time collaboration tool designed specifically for remote and hybrid engineering teams that integrate both interactive screen sharing and video conferencing features.