Red Hat OpenShift is an open source container application platform that incorporates a collection of software that enables developers the ability to run an entire Kubernetes environment. It includes streamlined workflows to help teams get to production faster and is tested with dozens of technologies while providing a robust tightly-integrated platform supported over a 9-year lifecycle.

Anyone tracking the evolution of the IT industry is probably familiar with the concept of Industry 4.0. Essentially, it describes the process by which traditional industrial tasks become both digitized and continually managed in an IT-like fashion via modern technologies like cloud computing, digital twins, Internet of Things (IoT) sensorization, and artificial intelligence/machine learning.

MEAN is evolving as a popular web stack for developing cloud native applications because of its scalability, ease of extension, and high reliability. Each component in MEAN is built on JavaScript, contributing to a cohesive development platform. In this post, we take you through the log management options that are available for each component of the MEAN stack framework and their respective limitations – limitations that are addressable with a refined log management solution like observIQ.

People’s involvement has been inevitable with log management despite advancements in ITOps. Log management at a high level collects and indexes all your application and system log files so that you can search through them quickly. It also lets you define rules based on log patterns so that you can get alerts when an anomaly occurs. Log management analytics solution leveraging RDA has been able to detect anomalies and aid predictive models over a machine learning layer.

First of all, don’t ask this! Instead of asking what to log, we should start by asking “what questions do we want to answer?” Then, we can determine which data needs to be logged in order to best answer these questions. Once a question comes up, we can answer it using only the data and knowledge that we have on hand. In emergent situations such as an unforeseen system failure, we cannot change the system to log new data to answer questions about the current state of the system.

It sounds like a wild claim, considering that billion dollar companies like Splunk, Datadog, New Relic, and Solarwinds are consistently making national headlines, for both good and bad reasons. Observability leaders are anything but invisible, so how can the perfect solution be different? Are they that far off?

There is nothing worse than waking up to an angry customer complaining that your website is failing to accept their payment at checkout. This may be worrying for some since payments not being processed can be equivalent to losing money; however with Tag Spotlight, this should be a relatively quick problem to dissect. The key question here is whether this is an issue that all our customers are facing or an isolated event.

Troubleshooting cloud services and infrastructure is an ongoing challenge for organizations of all sizes. As organizations adopt more cloud services and their cloud environments grow more complex, they naturally produce more telemetry data – including application, system and security logs that document all types of events. All cloud services and infrastructure components generate their own, distinct logs.

Following best practices when logging helps make sure they contain the right information when needed. Some common best practices for logging errors in.NET are listed below.

We are excited to announce that Elastic is joining forces with Cmd to accelerate our efforts in Cloud security - specifically in cloud workload runtime security. By integrating the capabilities of Cmd's expertise and product into Elastic Security, we will enable customers to detect, prevent, and respond to attacks on their cloud workloads.

A WS is a comprehensive platform with over 200+ types of cloud services available globally. As organizations adopt these services, monitoring their performance can seem overwhelming. The majority of AWS workloads behind the scenes are dependent on a core set of services: EC2 (the compute service), EBS (block storage), and ELB (load balancing).

LogDNA integrates with your PagerDuty instance to help trigger incidents based on log data coming in from your ingestion sources. This allows your teams to quickly understand when there are issues with your application, and where in the logs you can investigate to understand root cause. To help further accelerate your team’s ability to understand the state of your applications, we are introducing the ability to automatically resolve those PagerDuty Incidents directly from LogDNA.

Logging is useful in building, managing and debugging Rails applications. Most logging functionalities are built into the application, and it is fairly simple to find the logs. However, as your applications scale up in volume, it becomes difficult to trace the source of an issue. That’s when you want to implement a cloud based log management system to get a unified view of all logs from your Rails application.

Observability is one of the biggest trends in technology today. The ability to know everything, understand your system, and analyze the performance of disparate components in tandem is something that has been embraced by enterprises and start-ups alike. What additional considerations need to be made when factoring in cyber resiliency? A weekly review of the headlines reveals a slew of news covering data breaches, insider threats, or ransomware.

Some classics never go out of style, like a good pair of boat shoes or cowboy boots, depending on where you live. In the logging world, syslog is this classic. For more than 30 years, the syslog protocol has been a standard for logging. When we talk to users about what type of logs they collect and how they send them to SolarWinds ® Papertrail ™ , syslog always comes up. “Our application logs and server system logs are sent to Papertrail.

Logs are an essential part of an effective monitoring strategy, as they provide granular information about activity that occurs anywhere in your system. In serverless environments, however, you have no access to the infrastructure that supports your applications, so you must rely entirely on logs from individual AWS services when troubleshooting performance issues.

We’ve seen time and again how serverless architecture can benefit your application; graceful scaling, cost efficiency, and a fast production time are just some of the things you think of when talking about serverless. But what about serverless security? What do I need to do to ensure my application is not prone to attacks? One of the many companies that do serverless security, Protego, came up with an analogy I really like.

We launched the Stanza log agent just over one year ago. Stanza is the result of an uncompromising stance on performance, processing, and configurability for log telemetry. It took mere days for friends and colleagues in the space to raise the obvious objection – there are already so many logging agents, so why spend time on a *new* one? We also heard from competitors who had a snarkier take…

Over the last 15-plus years, the Payment Card Industry Data Security Standard – a.k.a. PCI DSS – has endured as the bellwether of IT security standards. For today’s e-commerce vendors and cloud centric retailers, maintaining alignment with “PCI” remains as relevant as ever, especially given the continued proliferation of threats and diversity of cloud and hybrid environments.

Engineering time is a precious resource. We often have to balance many tasks and often conflicting priorities. In this article, we’ll look at ten activities for which allocating more time can be beneficial. Let’s learn from the mistakes of others.

We are pleased to announce our newly launched dashboard design which we have created to assist cross team collaboration for users that prefer to use multiple Stacks per account. We understand that Cybersecurity specialists, Sysadmins, Product owners, developers and CTOs may all have different requirements for using our platform for logs and metrics analysis.

Developers of any skill set find it frustrating when we don’t have access to the information we need. We want easy and complete access to application logs so that we can troubleshoot application problems. Quickly resolving issues requires a complete picture of what’s going on. Using the wrong tools limits our ability to determine what’s wrong, slowing the repair process.

Generating and collecting logs is one thing. Generating and collecting actionable logs can be quite another. That's a problem because logs that are not actionable – meaning they can be easily used to derive valuable insights or resolve issues – are not very valuable. If you don't generate actionable logs, you might as well not log at all. Fortunately, ensuring that you generate useful logs is not tricky. Keep reading for seven tips on making your logs actionable and valuable.

Developers must have access to the information that they need. Accessing this information, however, can be time-consuming. With the wrong tools or workflow, it’s frustrating and challenging to filter logs by source. Tags are an easy solution from LogDNA that helps developers get a more granular view of what’s going on in our services.

Many organizations are moving from monolithic to microservices-based architectures. Microservices allow them to improve their agility and provide features more quickly. Although developing a single microservice is simpler, the complexity of the overall system is much greater. Here, we’ll review how to add distributed tracing to C++ with the OpenTelemetry collector and send to Logz.io. One of the biggest challenges is finding efficient tools to quickly debug and solve production problems.

See how the Logit.io platform helped give Youredi a more streamlined reporting and data visualisation alternative to using Microsoft’s Power BI in our latest customer case study. Outside of its BI capabilities, the Logit.io platform is used throughout Youredi by everyone from their technical teams through to their customer support and professional services department.

DevOps has become the dominant application development and delivery methodology today, embraced over traditional software development methods by teams striving for lightning-fast innovation and more frequent releases without compromising on quality, stability, or productivity.

The Biden administration signed an executive order recently to regulate security practices among federal agencies and establishments. The decision modernizes and improves government networks in pursuit of fool-proof federal cyber defense. This comes in the wake of a series of malicious cyberattacks that targeted both public and private entities in the past year. In the largest breach in US history, SolarWinds

We are excited to announce support for Google Compute Engine (GCE) N2 general purpose virtual machine (VM) types, and additional hardware configuration options powered by N2 custom machine types. N2 VMs leverage Intel 2nd Generation Xeon Scalable processors and provide a balance of compute, memory, and storage. N2 machine types also offer more than a 20% improvement in price-performance over the first-generation N1 machines.

We are excited to announce that Logit.io has recently taken home three awards from Appvizer’s selection ranking the best log management and data analytics tools on their platform. In addition to this, we’ve also been named as one of their certified partners for 2021.

Just how smart is your storage management? Storage is one of the most promising ways to shift from the "more is better" philosophy to the "work smarter" philosophy. What do I mean by that? Historically, IT managers who needed more storage responded in the most obvious way: they bought more. Then they deployed it, integrated it, and waited until the problem recurred.

Have you ever found yourself late at night combing through a myriad of logs attempting to determine why your cluster went down? Yes, that’s a really stressful job, especially when you think about how much money your company loses as a result of these incidents. Gartner estimates that the revenue lost due to outages is around $5,600/minute, which amounts to more than $330K/hour.

The complexity of applications is continually increasing the need for good logs. This need is not just for debugging purposes but also for gathering insight about the performance and possible issues with an application. The Python standard library is an extensive range of facilities and modules that provide most of the basic logging features. Python programmers are given access to system functionalities they would not otherwise be able to employ.

An application running in production is a difficult beast to tame. Most experienced developers–ones who spent enough late nights or Saturday mornings trying to break apart a nasty production bug–will try and create the clearest possible picture for their later selves while writing their code, so that they could understand what’s actually going on in the system during an incident.

Have you ever wanted to check the status of your Splunk Cloud Platform deployment but can't easily access your laptop? We've got you covered— the Cloud Monitoring Console is now available on Spunk Mobile.

The Splunk Dataflow template is an indispensable tool that allows Google Cloud customers to easily engineer a horizontally scalable and fault-tolerant logging export pipeline into Splunk® Enterprise and Splunk Cloud Platform™.

The past year has been significant for continued development of both DevOps practices and new developments across the open source community. To that end, Logz.io is moving forward with renewed support for the Fluentd log shipper. This new proxy will serve as an alternative to Filebeat and Logstash, which recently moved away from open source licensing. Additionally, this integration utilizes an HTTP proxy instead of the SOCKS5 proxy necessary for Filebeat.

“Observability,” is the process in DataOps of recording data generated by digital systems as they go about their processes. There are some great companies in the observability space, generating a whopping $17 billion annually, and contributing a significant portion to the modest 2.5 quintillion bytes of data created every year.

Troubleshooting production issues with virtual machines (VMs) can be complex and often requires correlating multiple data points and signals across infrastructure and application metrics, as well as raw logs. When your end users are experiencing latency, downtime, or errors, switching between different tools and UIs to perform a root cause analysis can slow your developers down.

If you are a candidate looking for your next role that involves an in-depth knowledge of Elasticsearch and the wider Elastic Stack then you will want to revise beforehand. In this resource guide on the top ELK interview questions, we've listed all of the leading questions that candidates are commonly asked about Elasticsearch, Logstash & Kibana (and their contemporary tools and plugins) alongside the answers. Want to improve your knowledge further?

In the era of data abundance, there exists a significant need for database systems that can effectively manage large quantities of data. For certain types of applications, an oft-considered option is Apache Cassandra. Like any other piece of software, however, Cassandra has issues that could potentially impact performance. When this happens, it’s critical to know where to look and what to look for in the effort to quickly restore service to an acceptable level.

At Seniorlink, we provide services and technology to support families caring for their loved ones at home. In the past two years we’ve expanded our programs across the United States, and so our need to observe our application systems has grown too.

With Elastic 7.14, the filestream input, the successor of log input, is now generally available in Filebeat. This new, superior input provides better support for reading active log files, with faster reaction time when there is backpressure in the system, quicker registry updates, better cooperation with external log rotation tools, and more.

I’m Tim, a Product Design Manager at LogDNA and a massive coffee and magic enthusiast. My team is responsible for creating a beautiful and easy-to-navigate user interface so that you can easily access, and gain value from, your logs. We’ve been working on making our product more accessible and are about to roll out some subtle changes.

Want to access your Splunk data on the go? We’re making it easier than ever to unlock value from your data anywhere at any time. Regardless of your role or level of technical expertise, you can use Splunk Mobile to view dashboards and take action from your mobile device.

In our Data Lake vs Data Warehouse blog, we explored the differences between two of the leading data management solutions for enterprises over the last decade. We highlighted the key capabilities of data lakes and data warehouses with real examples of enterprises using both solutions to support data analytics use cases in their daily operations.

Many IT professionals think of Graylog primarily as a security (SIEM) solution, and of course it can be used in that way to great effect. However, Graylog’s industry-leading log aggregation, search, visualization, and classification capabilities go far beyond that role alone.

Archiving is in and your logs are here to stay! We develop features that streamline the log management processes for our users. Logs are information assets, and we understand that you need to retrieve, re-asses and draw insights from your historic logs. observIQ offers a simple integration with Amazon Web Services (AWS) for extended retention. It takes less than 30 seconds to set up and archive logs directly to an S3 bucket in your AWS account.

When you’re troubleshooting an application on Google Kubernetes Engine (GKE), the more context that you have on the issue, the faster you can resolve it. For example, did the pod exceed it’s memory allocation? Was there a permissions error reserving the storage volume? Did a rogue regex in the app pin the CPU? All of these questions require developers and operators to build a lot of troubleshooting context.

Telegraf is one of the coolest open source agents for collecting metrics. It’s part of the TICK Stack (Telegraf, Influx, Chronograf and Kapacitor) and with Telegraf you can collect metrics from a wide array of inputs and write them into a wide array of outputs. It is plugin-driven for both collection and output of data so it is easily extendable.

Writing LogQL queries to access Loki’s log data just got easier, thanks to the new pattern parser released with Loki 2.3. It makes writing queries for unstructured log formats simple. And the pattern parser can be an order of magnitude faster than the regular expression parser. Let’s take a closer look.

Logs are an essential part of troubleshooting applications and services. However, ensuring your developers, DevOps, ITOps, and SRE teams have access to the logs they need, while accounting for operational tasks such as scaling up, access control, updates, and keeping your data compliant, can be challenging. To help you offload these operational tasks associated with running your own logging stack, we offer Cloud Logging.

Excellent new features have arrived in Loki v2.3.0. Bug fixes too. And performance increases on top of that. While we have been quiet, we have been very busy!

Is GitOps changing observability as we know it? GitOps has been the buzz word in the DevOps space for several years. GitOps, to those that are not familiar, is an operational methodology for DevOps that leverages a continuous deployment approach with Git as the single source of ‘truth’ for declarative control over both infrastructure and applications.

Public sector organisations are in the middle of a massive digital transformation. Technology advances like cloud, mobile, microservices and more are transforming the public sector to help them deliver services as efficiently as commercial businesses, meet growing mission-critical demands, and keep up with market expectations and be more agile.

Visualizing trends in your logs is critical when troubleshooting an issue with your application. Using the histogram in Logs Explorer, you can quickly visualize log volumes over time to help spot anomalies, detect when errors started and see a breakdown of log volumes. But static visualizations are not as helpful as having more options for customization during your investigations.

Elastic received honors from two key partners, Microsoft and Google — a recognition of our efforts to ensure that customers can easily find and use Elastic products in the environments that best suit their needs. Elastic was named the 2021 Microsoft US Partner Award Winner in Business Excellence in the Commercial Marketplace. In addition, for the second year in a row, Elastic was selected by Google Cloud as the 2020 Technology Partner of the Year for Data Management.

With a multitude of digital options available in almost every industry, it’s become increasingly critical that applications and services provide a positive user experience. Doing so requires a high level of availability, made possible (in part) by efficiently identifying and resolving issues with the system, when they occur. To achieve this, monitoring all critical components of an application and its infrastructure is a necessity.

Today, we are happy to announce three major improvements that will make it easier to integrate your systems and applications with the Elastic Stack. First, we are launching the generally available (GA) release of our Elastic Agent, which is a single, unified agent for both observability and security. A unified agent will simplify data onboarding with fewer things to configure and install.

We are pleased to announce the general availability (GA) of Elastic 7.14, including our Elastic Enterprise Search, Observability, and Security solutions, which are built into the Elastic Stack — Elasticsearch and Kibana. Elastic 7.14 empowers organizations with the first free and open Limitless XDR, which delivers unified SIEM and endpoint security capabilities in one platform.

Do you also find yourself confused by all the Open-this and Open-that names flying around? There are currently a good few Open projects, standards, tools – OpenTelemetry, OpenTracing, OpenCensus, OpenSearch… heck, even my podcast is called OpenObservability! And new Open names seem to be popping up every other day. If you too feel this way, there’s no need. Many feel similarly confused.

Back in February, we introduced Grafana Enterprise Logs (GEL) into the Grafana Enterprise Stack. GEL is a new way for large organizations to ingest and query their full log volume, without the cost or operational complexity associated with other solutions. (View a demo here.) We just released GEL 1.1, and one of its key features is label-based access control (LBAC).

No matter what you’re using Kubernetes for, visibility into your applications’ performance and activity is a beneficial and often essential undertaking – essential, but colossal, requiring entire teams dedicated to nothing but maintaining deployments, auditing, debugging, and keeping up with compliance. Kubernetes has robust support documentation dedicated exclusively to assisting customers with Monitoring, Logging, and Debugging.

VirtualMetric presents a new feature as part of our Log Tracking Suite – VirtualMetric Log Reader. The new capability of the product connects to any device within your IT infrastructure, collects the log information, parses it and transforms it into easy to analyse charts and graphs. No need to add any data sources or to read logs manually.

We are excited to inform all of our users that we will be bringing OpenSearch and OpenDashboards onto the Logit.io platform in the coming months. You may have already been aware that we’ve previously announced our support for the previous iteration of OpenSearch & OpenDashboards known as Open Distro in our response here. Due to our early public support of these oncoming changes you can see our platform cited on the official AWS OpenSearch website.