As two of the most popular and practical languages out there, should you choose Java or Python for your next project? Is one of these languages a clear-cut better option? The answer is a long one. According to GitHub’s annual Octoverse report, Python has now climbed to the second most popular language in usage, pushing Java down to third place.

As enterprises move towards a digital-first strategy, they rely much more on their IT infrastructures. An organization’s infrastructure drives the entire business and thus must be aligned with the organization’s business goals. This crucial task of managing an enterprise’s infrastructure brings its own share of difficulties to the table. However, the primary concern is to ensure the infrastructure’s scalability and optimal performance.

When applications suffer performance degradation often the root cause of the issue is a database problem. In this guide we’ll show you 7 ways to troubleshoot your Azure SQL database performance issues using metrics and insights from the eG Enterprise monitoring solution.

Amazon re:Invent is a major technology event every year. At this year’s re:Invent, the keynote by AWS CEO Adam Selipsky made a concerted effort to draw connections between technology and some of the key challenges that people around the world, and in some cases beyond the terra firma of Earth, face. While the presentation touched on a wide range of topics, one overarching theme was the intersection of the physical and digital worlds, and the role technology plays in bridging that divide.

Tracing has always been a key use case for time series data. But admittedly, it’s also one that past versions of InfluxDB could not handle as well as we wanted. One of the roadblocks was the cardinality issue. Tracing data is, almost by definition, high cardinality data and prior to InfluxDB IOx, high cardinality data could affect query performance.

When we created Cribl Search, we wanted to give systems administrators the ability to query data without having to spend resources on collection and processing first — but we didn’t stop there. With Search, we’re also making it possible to query all the data you’ve already collected, processed, and kept in places like object stores, file systems, analytics tools, S3 buckets, or other data stores.

Our product strategy this year was relatively simple. Many observability practitioners we spoke with complained that observability was oftentimes slow, heavy, complex, and costly – which can be summed up in our CEO’s recent blog on modern observability challenges. While our customers didn’t report similar challenges, we wanted to further distance ourselves from this typical observability experience.

Command, control, and communications (C3) systems are fundamental to all military operations, and the network is the backbone to keeping the warfighter up to date and out of harm's way. The right network modernization strategies will enable the latest C3 capabilities to provide real-time situation awareness and decision support for today’s military operations.

Kubernetes 1.26 is about to be released, and it comes packed with novelties! Where do we begin? This release brings 37 enhancements, on par with the 40 in Kubernetes 1.25 and the 46 in Kubernetes 1.24. Of those 37 enhancements, 11 are graduating to Stable, 10 are existing features that keep improving, 16 are completely new, and one is a deprecated feature. Watch out for all the deprecations and removals in this version!

Major vendors have been doubling down on their investment in Chromebooks, and that effort has paid off — they’ve consistently seen strong returns thanks to the platform’s wide adoption globally.

The much-anticipated release of Grafana Tempo 2.0, which we previewed at ObservabilityCON 2022, will represent a huge step forward for the distributed tracing backend. Among the biggest highlights will be TraceQL, a first-of-its-kind query language that makes it easier than ever to find the exact trace you’re looking for. There’s supposed to be a video here, but for some reason there isn’t. Either we entered the id wrong (oops!), or Vimeo is down.

If the World Cup was decided on teams’ website performance, Serbia would be lifting the trophy for the 2022 tournament. That’s the findings of the Web Vitals Index – a league table powered by next-generation website monitoring specialist, RapidSpike.

Another release of the Netdata Monitoring solution is here!

It may seem a bit strange, but recently I’ve been asked about Return on Investment (ROI) calculators a fair amount. Generally the discussion is if a given vendor should (or should not) have an ROI calculator on their website. Some reasons for justifying an ROI calculator include making it easier for potential clients to understand the value they will receive from a solution and the basic cost involved.

Today Codecov is joining the Sentry family. Codecov began as a code coverage reporting tool in 2014 and has since emerged as a market leader in the test analytics space. Codecov makes coverage actionable for over two dozen test frameworks, and has helped over a million software developers improve their approach to testing, coverage, and code reliability. You might be asking, what do test analytics have to do with application monitoring?

Sentry helps every developer diagnose, fix, and optimize the performance of their code, and we need to deliver high quality stack traces in order to do so. You might have noticed a significant improvement in Sentry JavaScript stack traces recently. In this blog post, we want to explain why source maps are insufficient for solving this problem, the challenges we faced, and how we eventually pulled it off by parsing JavaScript.

To fully capitalize on the promises of digital transformation, IT leaders have come to recognize that a mix of cloud and data center infrastructure provides several business advantages, including increased agility, cost efficiencies, global availability, and, ultimately, better customer experiences.

Think about the last time your IT systems had an outage: How did your team react to it? Were they organized with a clear idea of how best to resolve the issue? Or was it chaotic, with people firing questions from all directions and customer service channels ablaze with requests for help? Digital technology disruptions are typical (and even expected) at the workplace, but it doesn’t have to be chaotic, with teams rushing around to extinguish the metaphoric fire.

Grafana is long known as a leading open source platform for those needing beautifully rich, composable operational dashboards. The notion of being able to connect disparate data sources to Grafana for improved monitoring of infrastructure, log analytics, and overall better operational efficiency is an increasingly alluring prospect for those in fintech, ecommerce, and other industrial sectors.

Whether you are a site reliability engineer, DevOps engineer, or application developer, you need visibility into the health and performance of every service you run or support. But in complex, dynamic environments, it can be difficult to ensure that all services are accounted for.

One of the most useful features of Cribl’s flagship solution Stream is its ability to separate the wheat from the chaff in your data’s journey from source to destination — Stream allows you to control what data goes to what system, Cribl Search, takes this to the next level by controlling what data should be collected before it is ever put in motion.

Picture this! The coffee is hot, the keyboard is ready to rock, the bandwidth is unused, and the software is deployed (or the cloud is waiting patiently)…. but the data is missing! That’s right, most of us have been there. In our industry, it is very common for data to be the lowest common denominator for many projects.

In both the corporate and personal areas, a significant portion of daily life is spent glued to screens in an era where digital transformation is widespread. We engage with many digital services, apps, and websites daily. During these digital encounters, we occasionally encounter websites with slow-loading pages or 404/server error messages.

Today, I’m thrilled to announce the introduction of Logz.io Open 360™. This is a major step in our journey. Open 360 is a unified platform for modern engineering teams requiring end-to-end observability across logs, metrics and traces—delivered in an intuitive user interface. Open 360™ is specifically designed to enable engineers to have deep monitoring and insights into distributed systems.

Embrace is a mobile application monitoring solution that helps you track and troubleshoot mobile app performance by combining data analytics, real user monitoring, network performance monitoring, and hardware monitoring in a single platform. We’re pleased to partner with Embrace to offer an out-of-the-box Embrace Datadog app and software license in the Datadog Marketplace.

Many organizations face complex regulatory requirements when it comes to monitoring the health and performance of their service and application infrastructure. As part of our ongoing commitment to providing a comprehensive monitoring solution for all customers, we’re pleased to announce that Datadog has achieved TISAX Assessment Level 2 (AL2) certification.

While cloud solutions can give you greater flexibility as you scale your infrastructure, limited visibility into resource utilization makes provisioning the right amount of compute resources challenging. To ensure that every workload is fully supported, many organizations may opt to over-provision, which leads to overspending. Or, in an attempt to maximize cost savings, organizations may under-provision, leaving workloads unsupported and risking serious performance impacts.

Time series data is a sequence of data points generated through repeated measurements indexed over time. The data points originate from the same source and track changes at different points in time. Times series data includes data like stock exchange data, monthly inflation data, quarterly gross domestic product (GDP) data, and logs from IoT sensors.

Business transaction insights now on AppDynamics Cloud, delivers visibility with context through AIOps-driven alerts that help identify, prioritize and resolve the most business-critical issues first.

We’re excited to announce that Cribl integrates with Amazon Security Lake. Amazon Security Lake allows customers to build a security data lake from integrated cloud and on-premises data sources as well as from their private applications using the Open Cybersecurity Schema Framework (OSCF).

Welcome to Grafana 9.3! Get Grafana 9.3 In our continued efforts to make Grafana more accessible and easier to use, we are excited to showcase new updates to improve navigation, introduce localization, and much more. Read our What’s New documentation to learn all about the latest release and for more details, refer to the changelog.

The data and analytics space is booming and changing how we analyze and use data across industries. According to Fortune Business Insights, the global big data analytics market is projected to grow from $271.83 billion in 2022 to $655.53 billion by 2029 (at a CAGR of 13.4%). This boom has only been further accelerated by the recent pandemic as industries are shifting to digital solutions to address expanded market opportunities.

Back in 2021 we have introduced the integration between MISP, a community threat intelligence sharing platform and Flowmon ADS. The integration turns indicators of compromise shared through MISP to actionable intelligence. Flowmon ADS will automatically pick up on latest indicators of compromise using MISP API and leverage those indicators of compromise to detect adversary activities in the target network. The integration is available in Flowmon ADS 11.2 and newer versions.

PostgreSQL is an open-source relational database that is highly flexible and reliable and offers a varied set of features. Even though it is a complex database, it provides great integrity and performance. Also, you can deploy it on multiple platforms, including a light version for websites and smartphones. Because you can deploy Postgres in different ways, it comes out of the box with only some basic performance tuning based on the environment you’re deploying on.

We are thrilled to announce that ManageEngine Applications Manager won Best Application Performance Monitoring Brand at Enterprise IT World’s CIO Select Awards 2022, which took place in Bangalore along with Enterprise IT World’s Hybrid Cloud Summit & Awards 2022. Among many reputable organizations offering application performance monitoring (APM) tools, our product stole the show by having the most efficient and user-friendly features.

SQL Server Monitoring has become an essential part of modern-day applications since a major chunk of these applications rely heavily on a database. It is therefore important to monitor your metrics and make the best out of your database services. SQL Server Monitoring offers plenty of metrics to choose from. We will be breaking down the five key categories that an SQL server provides for a comprehensive view of their functionality.

Web application performance metrics help determine certain aspects that impact the performance of an application. This article discusses eight key metrics, including: Web performance is rapidly evolving, with new trends like Google’s Core Web Vitals (CWV), increasing use of images and video on web pages, and the rollout of 5G. We’ll present three methods that can help you adapt to these changes and boost the performance of your web applications.

Managed services and serverless deployments have become increasingly popular tools in the software development process. This means that organizations are focusing less on infrastructure resources and more on the functionality and security of applications. Managed services—such as the applications like DynamoDB, Step Functions and API Gateway that are crucial to serverless architectures—come with associated costs.

Brazil’s Banco Itaú is the largest bank in Latin America, so when performance and uptime issues impact its applications, the reverberations can be massive. “It can impact the whole economy of Brazil. It can damage other banks’ business too,” Ana Paula Genari Martin, SRE manager at Banco Itaú, said in her recent ObservabilityCON talk. And keeping those applications running is no small feat, considering the size of their digital operations.

Reducing noise in your error logs is critical for quickly identifying bugs in your code and determining which to prioritize for remediation. To help you spot and investigate the issues causing error logs in your environments, we’re pleased to announce that Datadog Error Tracking is now available for Log Management in open beta.

Today, we’re announcing the expansion of Honeycomb integrations with various AWS services. This update now covers a much wider swath of AWS services, makes it easier to integrate your AWS stack with Honeycomb, and with our new BubbleUp enhancements, you’ll be identifying and debugging hidden issues in your AWS stack faster than ever.

Keeping with our mission of helping customers gain radical levels of choice and control with their observability data, we’re excited to announce full support for the Amazon Web Services (AWS) Account Factory Customization solution within AWS Control Tower console. Customers can now use AWS Control Tower to define account blueprints that scale their multi-account provisioning in a streamlined manner.

AWS Lambda enables engineering teams to build modern, scalable services without the need to provision underlying infrastructure resources. But monitoring Lambda functions requires visibility into performance indicators that differ from those of traditional architectures—and cold starts are a key example.

Find out how to monitor your Internet speed and quality and how well your ISP is performing.

Over the past few years, AWS has made incremental improvements to Lambda’s cold start performance. Nowadays, cold starts are much less an issue for most functions, unless you’re using Java or.Net Core.

Ubuntu provides extensive logging capabilities, so most of the activities happening in the system are tracked via logs. Ubuntu logs are valuable sources of information about the state of your Ubuntu operating system and the applications deployed on it. The majority of the logs are in plain text ASCII format and easily readable. This makes them a great tool to use for troubleshooting and identifying the root causes associated with system failures or application errors.

Check our October 2022 health report on the top most popular cloud providers. We analyze the health of the cloud providers based on the number of outages and problems during the month. The source of the data is made available by the cloud providers themselves via their status page. We normalize it and use it to generate the report.

Check our November 2022 health report on the top most popular cloud providers. We analyze the health of the cloud providers based on the number of outages and problems during the month. The source of the data is made available by the cloud providers themselves via their status page. We normalize it and use it to generate the report.

In the analytics domain, fast and reliable storage is an important aspect for businesses to handle a large amount of data. There are different types of data storage including RDBMS, NoSQL, data lake, data warehouse, and graph database. Among these, the most widely used is RDBMS that powers various systems and applications of companies of all sizes. RDBMS is easy to use and straightforward to understand thanks to its table-based (or column-based) data format.

The Load Capacity Usage percentage, or Load Evaluator Index, for a Citrix Virtual Apps and Desktops or DaaS multi session machine delivery group, represents the percentage of resources allocated to that delivery group, that is in use by virtual desktop or application sessions. It is the ratio between the sum of all measured Load Indexes, and the sum of all maximum Load Indexes for the multi session machines in the delivery group. A Load Index represents the load on a multi session machine.

Earlier this year, StackState was named a Market Leader in the “2022 Research in Action (RIA) Vendor Selection Matrix (VSM) for Observability.” This is great recognition of the innovative path that we are on. We have focused on topology-powered observability, supported by our unique 4T® Data Model.

Downtime is a nightmare, and every network or app administrator wants to avoid it in any way they can. The longer the downtime, the greater the potential for a loss of revenue and a damaged reputation for the organization.

After a period of beta testing, we're happy to announce the launch of our latest AppSignal for Node.js package. This package features six new integrations and uses the OpenTelemetry framework for reliable telemetry data collection. OpenTelemetry is an open standard that facilitates the instrumentation of standardized telemetry data collection. AppSignal is committed to using OpenTelemetry in new integrations, and our Node.js integration is the first to use the standard.

A look at what Parquet is, how it works and some of the companies using its optimization techniques as a critical component in their architecture. As the amount of data being generated and stored for analysis grows at an increasing rate, developers are looking to optimize performance and reduce costs at every angle possible. At the petabyte scale, even marginal gains and optimizations can save companies millions of dollars in hardware costs when it comes to storing and processing their data.

Old network salts likely know all about network flows and the value of network flow monitoring. As former News Editor for Network World and Editor in Chief of Network Computing, network flows are part of my old stomping grounds. In fact, I remember when Cisco invented NetFlow in the late 1990’s to collect traffic data from its routers and switches so it could be analyzed by network pros.

Over the past three years, the Microsoft Teams environment has become the de facto voice communication tool for a large percentage of organizations. But with many companies having implemented their Teams setup rapidly in the face of a dramatically changing business setting, some IT teams have been struggling to know how to get the most out of their Teams environment.

According to results from the Stack Overflow Developer Survey 2022, nearly half (46%) of respondents say they use MySQL, making it the most widely-adopted database technology among developers today. This popularity is due in no small part to MySQL’s unique features that help it handily meet the needs of modern applications, from small software projects to business-critical systems.

Amazon CloudWatch provides Log Insights, a feature that can help you: CloudWatch Log Insights uses a proprietary query language with several basic commands. It provides sample queries for common AWS service log types, as well as query auto-completion. Learn more about CloudWatch Log Insights capabilities and how to use them.

I used the first two parts of this series to lay out my case for how and why cloud-based networks can effectively “Trojan horse” costs into your networking spend and highlighted some real-world instances I’ve come across in my career. In the third and final installment of this series, I want to focus on ways you can optimize your personnel and cloud infrastructures to prevent or offset some of these novel costs.

With Icinga DB Web you can now customise Icinga Web’s list views to your needs. While in one scenario you might be more interested to see as many objects as possible at a glance, in another scenario detail attributes of only a few objects will be more important to you. Yet, in the first case, you would even be distracted by more detailed information.

We recently featured in Ecommerce Age. If you missed the write up, you can catch up in full, here… As ecommerce continues to outdo the high street, Black Friday sales are becoming as much of a tradition as Christmas dinners. But shoppers are very influenced by external factors, from the economy to website experiences. We outline the key ecommerce challenges this Black Friday…

Should you leave the cloud? Is cloud migration reversing? Is cloud repatriation a growing trend? On-premises vs. Cloud – which is best? How do you futureproof your IT and protect your business through recession or uncertainty, whether that’s in Cloud or On-prem? Today’s article is about keeping your options open within the context of recent economic and technological trends.

What’s the ultimate goal of bringing observability into an organization? Is it just to chase down things when they’re broken and not working? Or can it be used to truly enable developers to innovate faster? That’s a topic I recently discussed with David Ostrovsky, a software engineer at Meta, the parent company of social media networks Facebook and Instagram among others. He was my guest on the most recent episode of the OpenObservability Talks podcast.

Devices, developers, applications, and services produce and utilize enormous amounts of JSON data every day. A portion of this data consists of time-stamped events or metrics that are a perfect match for storing and analyzing in InfluxDB. To help developers build the applications of the future, InfluxDB provides several ways to get JSON data into InfluxDB easily.

At Lumigo, we keep improving the coverage and quality of our distributed tracing instrumentation to give you, through Lumigo’s transactions, the most accurate and intuitive representation of how your distributed system behaves. In this blog, we cover a recent development for the Amazon SQS instrumentation in Lumigo’s OpenTelemetry distro for Python, providing a seamless experience for a scenario that otherwise would result in confusing, broken transactions and lost insights.

N+1 queries are the most common problems among developers. N+1 database query problems occur when you have to call the database for N items, and those N items have again N additional data fields which are not in the same table, and those extra N data fields are required for the use case. Generally, this issue is handled at the time of database designing, but every problem cannot be solved efficiently by one solution, some need to be solved by brute force.

Distributed architectures are becoming an increasingly important source of application services for organizations. Advances in observability and monitoring are being driven by this trend. But exactly how do observability and monitoring differ from one another? It's essential to know when something goes wrong in the application delivery chain so you can identify the root cause and resolve it before it has an impact on your business. Monitoring and observability offer a two-pronged strategy.

It’s hard to think of a use case that Grafana hasn’t been used for. When Torkel Ödegaard launched the Grafana open source project with his first commit in December 2013, “my goal was to make time series data accessible for a wider audience, to make it easier to build dashboards, and to make graphs and dashboards more interactive,” he said.

Learn how Automic can help NetOps speed up triage, reduce MTTR, and alleviate the load on your NOC Today’s network team is committed to advancing the speed of triage and resolution. This can be a titanic task in modern networks, which are fueled by SDN and becoming more agile and dynamic than ever. These new networks have introduced traffic, congestion, and outages on a greater scale.

Content What’s New in Sysdig is back again with the November 2022 edition! I am Matt Shirilla, an Enterprise Sales Engineer based in Texas, and I am very excited to update you with the latest feature releases from Sysdig. For Sysdig Monitor, this month brings new filtering for AWS Cloudwatch Metric Streams and a new Lambda Extension for AWS Lambda Telemetry API , plus the release of new Advisories.

I joined Honeycomb as a Staff Site Reliability Engineer (SRE) midway through September, and it’s been a wild ride so far. One thing I was especially excited about was the opportunity to see Honeycomb’s incident retrospective process from the inside. I wasn’t disappointed! The first retrospective I took part in was for our ingestion delays incident on September 8th.

The countdown has begun. No, not for the excitement of New Year’s Eve festivities nor for an awe-inspiring space launch. We’re talking about Black Friday and Cyber Monday, the annual mad rush of frantic Christmas shoppers looking for deals after Thanksgiving. In 2021 on Black Friday, consumers spent $109.8 billion online, up 11.9% compared to 2020. Shoppers spent another $10.7 billion on Cyber Monday, 1.4% down from $10.8 billion in 2020.

The transition to distributed applications is in full swing, driven mainly by our need to be “always-on” as consumers and fast-paced businesses. That need is driving deployments to have more complex requirements along with the ability to be globally diverse and rapidly innovate.

These days, administrators typically have to deploy multiple tools to search through all of their datasets – then they get to spend the little free time they have left over dreaming of a world where they could search multiple distributed datasets simultaneously, similar to existing web search tools. They might have one tool for Splunk, another for Elastic, and some may even still be using grep or some other cumbersome function to search non-correlated data.

The Citrix Print Manager Service is part of the Citrix Virtual Desktop Agent (VDA) software which runs on a single or multi session machine. It is used for the Citrix Advanced Universal Printing Architecture. It takes care of the client printer mappings between a user client and the VDA within an ICA session. This service heavily relies on the Windows Print Spooler service which spools print jobs and handles interaction with the printer.

Mission-critical apps that are deployed on the cloud drive today's modern enterprises, which in turn power their businesses. These applications' fundamental units are microservices, which tiny development teams created to enable speedy feature releases to the market. APIs serve as the ties that bring these microservices together so they can cooperate.

Gathering data to explore a problem with power outages creating connectivity issues and ultimately draining a laptop battery. Monitoring locations that have intermittent power and/or connectivity outages can be challenging. In this article, I’ll show how to use InfluxDB, an open source time series database, InfluxDB Cloud and Edge Data Replication to store data locally and send it to a central location whenever possible.

Centralized log management provides various benefits across an organization. The fundamentals of log management offer a wide variety of business use cases. Whether you’re managing event log data manually or realizing you need more than an Open Source solution, finding the right internal champions can make your life easier. Understanding the business use cases and strategic impact centralized log management provides can help you gain the internal buy-in you need.

Until recently, Grafana Cloud users had to rely on API keys to read and write data to and from the composable observability platform. These API keys had minimal features, which limited administrators’ ability to manage account access on a granular level. We’re keenly aware of these shortcomings, and we’ve been working to overhaul and replace these API keys with something more flexible, more reliable, and more secure.

Are you curious about the difference between open-source Redis and Redis enterprise? Of course, Redis Enterprise is a hosted service that runs Redis db on behalf of its customers, while open-source Redis is available for anyone to use. However, there's also a key difference between open source and enterprise in how the clusters are implemented. In order to understand the difference, we need to know what Redis Clusters are. ‍

Thanksgiving can seem like a stereotypical American holiday, filled with images of family and friends gathered around tables overflowing with food. But harvest celebrations are far older than the United States. People have gathered in late autumn to enjoy the fruits of their labors for generations, long before the first Pilgrim arrived in the New World. The annual harvest feast is a time to look back on and enjoy the hard-earned comforts.

Today's complex environments require IT teams to find new ways to monitor and measure SAP — but traditional SAP monitoring tools can't cut it. Here's how to rethink your approach to SAP monitoring.

So you’re building a mobile app that’s performing big data requests; or crunching big data. But now you’re asking yourself: With Sentry’s Custom Instrumentation you can keep an eye on those big data-handling functions. Let’s see how you can implement them in your Storyboard and SwiftUI projects.

Did you know that the visual console editor allows users to design the final look by dragging elements with the mouse? You just have to choose the background and icons that represent the status of each relevant aspect you want to display. We tell you this and much more in the video on our workshop.

The gaming industry is an extensive software market segment, reaching over $225 billion US in 2022. This staggering number represents gaming software sales to users with high expectations of game releases. User acquisition takes up a large part of software budgets, with $14.5 billion US spending globally in 2021. User retention is critical to the success of any game, especially where monetization requires driving in-app purchases and ad revenue.

BGP is effectively the postal service of the Internet. Without BGP, traffic doesn't move. So, when there's a configuration issue, or worse, malicious activity – the repercussions can be huge. That's why constant monitoring of BGP traffic is crucial. In this ten-minute video, Solutions Engineer Zach Henderson explains why BGP issues can damage your bottom line and then shows how to quickly detect, analyze and resolve them with Catchpoint's market-leading BGP Monitoring solution.

California-based Medallia captures feedback signals — in-person interactions, customer surveys, call centers, social media, etc. — to help businesses improve their customer experience. In much the same way, the company’s Performance and Observability Engineering team captures observability signals to optimize the experience for internal users.

How can you judge Grafana vs. Chronograf and InfluxDB? Monitoring various systems is a crucial component of continuous maintenance. You can look at different parameters of the monitored system and take corresponding actions for certain conditions. For example, engineers can prevent server failure when they see the load on the server approaching its critical point. If the numbers of processed transactions (or registered users) exceed the expected level, you can celebrate your success.

A well-designed cloud architecture is essential to ensure that the underlying infrastructure stays operational, within budget, and compliant over time. These days, organizations are rapidly spreading their infrastructure across a broad, complex mesh of interconnected resources and services. It can be difficult to make high-level decisions about the design and management of these systems. This is why many organizations are now turning to cloud infrastructure modeling tools.

Automation is a smart investment in efficiency, productivity, and profitability. According to VentureBeat, companies that invested in automation technologies began to see results almost immediately, including an average 7% increase in revenues. In total, U.S. companies that adopted automation in 2021 generated an extra $195 billion in revenue per month, adding 7.1 million jobs to the economy.

Here at Cribl, we’re big on GoatFooding. We not only prepare but consume our own products, in our own products. Today we’ll pull back the curtains to shine a light on how we use Cribl products within our Cribl.Cloud service. Cribl is a pioneer in the observability space, so what better way to use our products than by observing Cribl.Cloud?

Profiling is an important tool in every developer’s toolkit because it provides a granular view into the execution of your program from your production environment. This is an important concept, as performance bottlenecks can often be very hard or even impossible to reproduce locally due to external constraints or loads only seen in a production environment.

People often ask us, “What is the best query language to use with InfluxDB?” The answer to this question has evolved a bit over the years – and the current answer might surprise you.

We’re proud to announce that we have received ISO 27001 certification. This certification is another significant milestone for Mezmo this year.

Profiling is an important tool in every developer’s toolkit because it provides a granular view into the execution of your program from your production environment. This is an important concept, as performance bottlenecks can often be very hard or even impossible to reproduce locally due to external constraints or loads only seen in a production environment. Python is one of the most popular programming languages available, and it is one of the core technologies we use at Sentry.

The Citrix Audio Redirection Service is part of the Citrix Virtual Desktop Agent (VDA) software which runs on a single or multi session machine. It is responsible for redirecting audio over the Audio Virtual Channel to be used within the ICA session. If this windows service has stopped running, users having a virtual desktop session to the respective session machine have no sound.

The traditional approach for searching observability data is a tried-and-true: Once all the search staging is accomplished, we can perform high-speed, high-performance, deep-dive analysis of the data. But is this the best way or even the only way to search all that observability data? The answer to the first question is maybe, as it depends on what you are trying to accomplish. The answer to the second question must be a resounding no.

In this article, we will analyze what are the metrics for monitoring Kafka performance and why it is important to constantly monitor them. We will also look at the process of monitoring metrics for Kafka using Hosted Graphite by MetricFire. To learn more about MetricFire, book a demo with the MetricFire team or sign up for the free trial.

Partitioning can provide a number of benefits to a sharding system, including faster query execution. Let’s see how it works. In a previous post, I described a sharding system to scale throughput and performance for query and ingest workloads. In this post, I will introduce another common technique, partitioning, that provides further advantages in performance and management for a sharding database.

Over the course of two decades, Adform grew from a dream between friends huddled in a basement to a leading advertising tech platform powering more than 25,000 clients worldwide. Success brought external accolades, but it also created the need for internal innovation to support the company’s continued growth. In 2018, Adform was still operating in startup mode, which meant developers and teams cherry-picked the tools that worked best for them.

Try to explain your network topology to a stranger in a bar and you’ll get a blank stare—the same look your CEO would give. Show that CEO a map, report or even your network monitoring dashboard, and recognition will creep across their face.

HG or HostedGraphite provides a complete infrastructure and application monitoring platform from a suite of open-source monitoring tools. Depending on the setup, you can choose Hosted Graphite as your data source and view all required metrics on beautiful Grafana dashboards in real time. Hosted Graphite offers a wide range of tools, add-ons, and plugins that make it possible to measure, analyze, and visualize large amounts of data about your applications with ease.

The holiday shopping season is one of the most stressful periods for operators of retail and ecommerce businesses, as the seasonal surge of holiday shoppers can put massive amounts of stress and strain on even the most well-architected websites. Here’s a recent example from 2021: The Office Depot website suffered an outage during Cyber Monday that knocked the online shop offline for hours, impacting the ability of customers to place orders online.

With the introduction of Environments & Services, we’ve seen a dramatic increase in the creation of new datasets. These new datasets are smaller than ones created with Honeycomb Classic, where customers would typically place all of their services under a single, large dataset. This change has presented some interesting scaling challenges, which I’ll detail in this post, along with the solution we used, and how we leveraged Honeycomb’s own telemetry to scale Honeycomb.

The person speaking to you can only hear a sort of robot voice and the dreaded pixilation of your face on a video chat has descended on your important call with your team or, much, much worse, with a VIP client – does panic set in? Well, if your IT team doesn’t have a good way to boost Teams call quality then yes. Inconsistent Teams call quality is a problem plaguing businesses in every sector, and it’s an issue that can have a real negative impact on an organization.

Hi! We’re Splunk, and we’re glad you’re visiting us today. Honestly, we hear from people far and wide about “What does Splunk do?”, “Does the name Splunk mean something?” And of course, “How can I learn Splunk?” I wrote this article to help answer all these questions for you and point you towards whatever question you want answered.

There are many visualization types and configurations available to choose from. In general, keep your visualizations as simple and straightforward as possible to avoid distraction and highlight only the most important information. If there is too much unnecessary information on the page it can be overwhelming and focus can be misdirected to unimportant details.

Monitoring any type of resource can be challenging. But Kubernetes monitoring is a special kind of challenge. Not only are there a variety of different Kubernetes layers and resource types to monitor, but collecting monitoring data from Kubernetes can be difficult if you use a managed Kubernetes service that limits your access to the underlying infrastructure. For all of these reasons, Kubernetes monitoring requires a different approach.