So you finally launched your service worldwide, great! The next thing you’ll see is thousands and thousands of people flooding into your amazing website from all corners of the world expecting to have the same experience regardless of their location. Here is where things get tricky. Having an infrastructure that will support the expansion of your service across the globe without sacrificing user experience is going to be real though as distance will introduce latency.

With Kubernetes emerging as a strong choice for container orchestration for many organizations, monitoring in Kubernetes environments is essential to application performance. Poor application/infrastructure performance impact in the era of cloud computing, as-a-service delivery models is more significant than ever. How many of us today have more than two rideshare apps or more than three food delivery apps?

We’re excited to announce that our Configuration API and Terraform Provider are now generally available for all LogDNA customers. We received tremendous feedback from our public beta release and, based on that feedback, we are enabling several new features with the GA release that allow for more programmatic workflows with LogDNA. First, we are enabling Preset Alerts as a new resource that can be configured with the configuration API as well as within Terraform.

It’s been an exciting year here at Coralogix. We welcomed our 2,000th customer (more than doubling our customer base) and almost tripled our revenue. We also announced our Series B Funding and started to scale our R&D teams and go-to-market strategy. Most exciting, though, was last September when we launched Streamaⓒ – our stateful streaming analytics pipeline. And the excitement continues!

All code and no logging makes your application a black box system. Similarly, all logging and no monitoring makes analyzing performance complicated and inconvenient. The goal is to achieve better visibility into the operations of your application, its status, performance, and overall health. Making this information easily accessible presents more context about the critical incidents and surfaces actionable insights for optimizing performance.

The SIEM is a central point where data is collected and correlated, and as we move to consume more cloud services and data sets the SIEM itself must also change in architecture. Architecture change is hard to make for existing products. Calling a product a ‘cloud solution’ is not the same as taking an on-premises product and hosting it for customers. It means building a new SIEM for a new world. There are a lot of reasons users seek new SIEMs.

In our guide on the best Grafana dashboards examples, we wanted to show you some of the best ways you can use Grafana for a variety of different use cases across your organisation. Whether you are a software architect or a lead DevOps engineer, Grafana is used to make analysis and data visualisation far easier to conduct for busy engineering and technical teams throughout the world.

The NiCE Log File Monitor Management Pack 2.0 is a FREE solution supporting the SCOM Community in next-level log file analysis. It helps IT performance and security data analysts identify errors causing transactions and queries to take too long or not run at all. Software-related bugs, security issues, or erroneous configurations that impact website or application performance are figured out quickly by employing improved templates for alert rules, performance rules, or monitors.

Logz.io is proud to launch a new partnership with Microsoft that enables Azure customers to directly integrate with Logz.io’s platform from within the Azure Console. This integration importantly allows Azure developers to begin monitoring their workloads faster than ever before, using the open-source technologies that their teams love. Check out this video for a demonstration of how it works.

In my previous blog post, I demonstrated how to use Prometheus and Fluentd with the Elastic Stack to monitor Kubernetes. That’s a good option if you’re already using those open source-based monitoring tools in your organization. But, if you’re new to Kubernetes monitoring, or want to take full advantage of Elastic Observability, there is an easier and more comprehensive way. In this blog, we will explore how to monitor Kubernetes the Elastic way: using Filebeat and Metricbeat.

Development cycles are complicated. If you’re on a development team, whether you’re building out a custom application, maintaining and iterating on a growing microservice, or breaking ground on a new platform for a startup, you have your hands full. Log management, though seldom celebrated outside hardcore DevOps and IT circles, is still a well-known instrument among seasoned developers. It is insight into the internal workings of your processes as they are used.

Log centralization is kind of like brushing your teeth: everyone tells you to do it. But until you step back and think about it, you might not appreciate why doing it is so important. If you’ve ever wondered why, exactly, teams benefit from centralized logging and analysis, keep reading. This article walks through five key advantages of log centralization for IT teams and the businesses they support.

In the past few years, JavaScript has evolved in several ways and has come a long way. With the evolving technology, machines are becoming more powerful, and browsers are getting more robust and compatible. In addition, Node.js’s recent development for JavaScript’s execution on servers, JavaScript has been getting more and more popular than ever before.

Purchase decisions often begin with a price check. Log management is no different. Evaluate your budget and narrow down the options that fit to choose the tool that gives you the most for what you pay. As always, cheaper is better as long as the platform doesn’t cut any corners. But with log management, there is a catch – not all tools are transparent with their pricing model.

Everything is running smoothly at observIQ this week. This update comes with some valuable quality of life improvements to the platform, a new Dashboard plugin, and improvements to set up, Alerts, and Live Tail.

Continuing to ride the waves of Summer of Security and the launch of Splunk Security Cloud, Splunk Security Essentials is now part of the Splunk security portfolio and fully supported with an active Splunk Cloud or Splunk Enterprise license. No matter how you choose to deploy Splunk, you can apply prescriptive guidance and deploy pre-built detections from Splunk Security Essentials to Splunk Enterprise, Splunk Cloud Platform, Splunk SIEM and Splunk SOAR solutions.

We just announced the creation of a new RemoteWrite SDK to support custom metrics from applications using several different languages. This tutorial will give a quick rundown of how to use the Python SDK. Using these integrations, Prometheus users can send metrics directly to Logz.io using the RemoteWrite protocol without sending them to Prometheus first. Each SDK, while for a separate language, is each capable of working with frameworks like Thanos, Cortex, and of course M3DB.

We’re proud to announce the creation of a new RemoteWrite SDK to support custom metrics from applications using Golang (Go), Python, and Java, with many more on the way. Each SDK will have automatic, continuous deployment of updates. Using these integrations, Prometheus users can send metrics directly to Logz.io using the RemoteWrite protocol without sending them to Prometheus first.

Commonly, your website or app functions perfectly until you release it. During testing, you might seem to have control over everything. But, sooner or later, you will face some challenges. In fact, it is totally normal when something goes wrong. The most important thing is how you settle these problems. In most cases, issues with availability alerts and users’ complaints can be addressed by the means of IIS logs. IIS logging will provide you with the necessary data to deal with a breakdown.

The Apache HTTP Server (httpd) is a widely used, open-source web server application. Because you can easily customize it through modules, it has become the go-to choice of both individuals powering their personal blogs and enterprises running high-traffic websites and web apps. It’s a well-known fact that with high traffic, the performance of Apache web servers can take a hit, experiencing bottlenecks as your traffic scales up, which will lead to delayed responses.

What do an airline, the world’s largest retailer, the French government, Adobe, and NASA’s JPL have in common? They use the Elastic Stack to empower customers, communities, and, even, interplanetary exploration. With the Elastic Stack’s ability to take data from any source and in any format, and then search, analyze, and visualize it in real time, organizations can act quickly to improve customer experience and power critical systems.

Splunk Cloud Architect Paul Davies recently authored and released the GCP Application Template, a blueprint of visualizations, reports, and searches focused on Google Cloud use cases. Many of the reports included in his application require Google Cloud asset inventory data to be periodically generated and sent into Splunk. But HOW exactly do you craft that inventory generation pipeline so you can "light-up" Paul's application dashboards and reports?

There’s an insidious disease increasingly afflicting DevOps teams. It begins innocuously. A team member suggests adding a new logging tool. The senior dev decides to upgrade the tooling. Then it bites. You’re spending more time navigating between windows than writing code. You’re scared to make an upgrade because it might break the toolchain. The disease is tool sprawl.

Running and troubleshooting production services requires deep visibility into your applications and infrastructure. While basic logs and metrics are available out of the box with Google Cloud Compute Engine (GCE), capturing advanced data used to require the installation of both a metrics agent and a logging agent.

This is a personal story from before I worked at observIQ. I am not a technical person in any professional sense. I have no direct training and my coding experience is limited to front-end web design and some indie game development. Before observIQ, all I knew about log management was that it has something to do with tracking computer performance and behavior, and I associated it mostly with DevOps and the cloud. I never imagined it would play any valuable role in my professional endeavors.

In this post we will discuss some key considerations and strategies to monitor your AWS Lambda functions. This will include: which Lambda metrics you’ll want to monitor, how to collect AWS Lambda metrics with Prometheus and Logz.io, how to create a monitoring dashboard with alerts, and how to search and visualize your metrics.

The Windows System Monitor (Sysmon) is one of the chattiest tools. With all the information coming in, it can be difficult and expensive to use it efficiently. However, the Graylog Illuminate package gives you a way to fine-tune it so that you can get better data and manage your ingestion rate better. Sysmon gives you awareness of what’s going on in your endpoints.

Being alerted to an issue with your application before your customers experience undue interruption is a goal of every development and operations team. While methods for identifying problems exist in many forms, including uptime checks and application tracing, alerts on logs is a prominent method for issue detection. Previously, Cloud Logging only supported alerts on error logs and log-based metrics, but that was not robust enough for most application teams.

AIOps is a DevOps strategy that brings the power of machine learning to bear on observability and system management. It’s not surprising that an increasing number of companies are now adopting this approach. AIOps first came onto the scene in 2015 (coincidentally the same year as Coralogix) and has been gaining momentum for the past half-decade. In this post, we’ll talk about what AIOps is, and why a business might want to use it for their log analytics.

We’re thrilled to announce the release of the Splunk App for Content Packs, an app that acts as a one-stop shop for prepackaged content and out-of-the-box searches and dashboards for common IT infrastructure monitoring sources, making it easy to get up and running with Splunk for IT use cases. In the past, you may have had to install and manage individual apps like Splunk App for VMWare and Splunk App for Windows Infrastructure.

The pursuit of Digital Transformation and DevOps practices has led to several benefits such as increased deployment rates and better collaboration across teams. However, it has also led to endless abstraction, an increase in responsibilities, and many new tools (Kubernetes, hybrid-clouds and all their services, etc.). This increase in complexity has turned observability into an essential component of all ecosystems.

PostgreSQL is a popular open-source, object-relational database. As with any other data storage solution, capturing metrics is crucial for making sure your database is reliable, available, and performing optimally. This will help you dig deeper into database performance problems, do performance tuning, optimize queries and indexes, and make partitioning decisions. But that’s not all. You’ll also be able to set up alerts and plan for failures or upgrades.

Crowdstrike is an innovator in the endpoint protection market with innovative approaches for the last decade. They specialize in depth of data collection and have uncovered many forensic mysteries in security over the last 10 years. We have many mutual customers with CrowdStrike, which is why we began working with them on a solution to analyze and correlate their data within Logz.io.

We are pleased to announce the general availability of the Azure Private Link integration with Elastic Cloud. Azure Private Link provides private connectivity between your VNET (Virtual Network) and other Azure resources. Private Link simplifies your cloud network architecture and eliminates data exposure to the public internet by routing your data to private Azure service endpoints.

OpenSearch is a community response to the recent relicensing of Elasticsearch as a non-Open Source platform. AWS, Logz.io, and a number of partners have been working for months not only to make this merely compatible with Elasticsearch as a functional replacement, but also seeking to create an independent project roadmap.

Setting up Cloud Monitoring dashboards for your team can be time consuming because every team's needs are different. Picking the right metrics, using the right visualizations to represent these metrics, deciding what metrics can go on the same chart, and determining the right pre-processing steps for metrics requires background and experience that may not yet exist among your development and operations teams.