Elastic® has enabled the collection, transformation, and analysis of data flowing between the external data sources and Elastic Observability Solution through integrations. Integration packages achieve this by encapsulating several components, including agent configuration, inputs for data collection, and assets like ingest pipelines, data streams, index templates, and visualizations. The breadth of these assets supported in the Elastic Stack increases day by day.

In today's ever-changing digital development landscape organizations face the challenge of delivering high-quality software quickly and efficiently. Developing and producing new products and updates is a compelling but fundamental part of any technology business. But ensuring the process runs smoothly to make certain that your release reaches your customers as expected can be challenging. This is where release management tools come in.

Elastic® SQL inputs (metricbeat module and input package) allows the user to execute SQL queries against many supported databases in a flexible way and ingest the resulting metrics to Elasticsearch®. This blog dives into the functionality of generic SQL and provides various use cases for advanced users to ingest custom metrics to Elastic®, for database observability. The blog also introduces the fetch from all database new capability, released in 8.10.

Maintaining the right combination of tools and integrations is essential in monitoring your online presence. To this end, Logz.io and Uptime.com — both highly-respected services in their own right — can be integrated to provide powerful analytics, uptime metrics monitoring, log management, and real-time incident alerts – all in one dashboard.

Syslog is a standard for sending and receiving notification messages–in a particular format–from various network devices. The messages include time stamps, event messages, severity, host IP addresses, diagnostics and more. In terms of its built-in severity level, it can communicate a range between level 0, an Emergency, level 5, a Warning, System Unstable, critical and level 6 and 7 which are Informational and Debugging. Moreover, Syslog is open-ended.

OpenTelemetry (OTEL) is an observability platform designed to generate and collect telemetry data across various observability pillars, and its popularity has grown as organizations look to take advantage of it. It’s the most active Cloud Native Computing Foundation project after Kubernetes, and it’s progressing at an immense pace on many fronts. The core project is expanding beyond the “three pillars” into new signals, such as continuous profiling.

Google Cloud Operations, formerly known as Stackdriver, is relatively new to the observability space. That being said, its position in the GCP ecosystem makes the platform a serious contender. Let’s explore some of the key ways in which Google Cloud Operations differs from Coralogix, a strong full-stack observability platform and leader in providing in-stream log analysis for logs, metrics, tracing and security data.

Brokerage firms are constantly under pressure to stay ahead of the competition. They need to make sure that they are using the latest technology and techniques to provide their clients with the best possible service. With constant advancements of technologies and integrations used by these brokerage systems, technical issues do arise.

AWS API Gateway is a powerful service that redefines API management. It serves as a gateway for creating, deploying, and managing APIs, enabling businesses to establish seamless connections between different applications and services. With features like authentication, authorization, and traffic control, API Gateway ensures the security and reliability of API interactions.

In the vast digital landscape of the internet, where websites and web applications serve countless users daily, there exists a silent but powerful guardian of information – Apache logs. Imagine Apache logs as the diary of your web server, diligently recording every visitor, every request, and every response. At its core, Apache logs capture a variety of critical information. They record the IP addresses of visitors, revealing their geographic locations and potentially malicious activities.

As organisations strive to deliver seamless user experiences, maximise operational efficiency, and maintain a competitive edge, the need for comprehensive Application Performance Monitoring (APM) tools becomes increasingly evident. APM tools offer invaluable insights into the performance and behaviour of applications in real-time. They go further than the conventional monitoring approach by providing a holistic view of the entire stack, encompassing servers, databases and user interactions.

Terraform, a powerful Infrastructure as Code (IAC) tool, has long been the backbone of choice for DevOps professionals and developers seeking to manage their cloud infrastructure efficiently. However, recent shifts in its licensing have sent ripples of concern throughout the tech community. HashiCorp, the company behind Terraform, made a pivotal decision last month to move away from its longstanding open-source licensing, opting instead for the Business Source License (BSL) 1.1.

Application performance monitoring (APM) tools have become a fundamental part of many organisations that wish to track and observe the optimal functioning of their web-based applications. These tools serve to greatly simplify the process through automation and allow teams to effectively collaborate to maximize efficiency, enabling you to reach the root cause of an issue before it reaches your customers.

Logz.io is thrilled to have earned over 20 Fall 2023 G2 Badges for our Logz.io Open 360™ essential observability platform! G2 Research is a tech marketplace where people can discover, review, and manage the software they need to reach their potential. We’ve earned the following Fall 2023 G2 Badges for Application Performance Monitoring (APM) and Log Analysis.

The Securities and Exchange Board of India (SEBI) recently introduced a groundbreaking API-based logging and monitoring mechanism (LAMA) framework to address the increasing concerns surrounding technical glitches in stockbrokers’ digital trading systems.

Node.js logging is an important part of supporting the complete application life cycle. From creation to debugging to planning new features, logs support us all the way. By analyzing the data in the logs, we can glean insights, resolve bugs much quicker, and detect problems early and as they happen. In this post, we will talk about the who, what, when, where, how, and why of Node.js logging. Later in this post, the “how” section will give insights into using code.

Observability dashboards are powerful tools that enable teams to visualize and monitor the performance, health, and behavior of their applications and infrastructure. However, building observability dashboards is not a straightforward task, and many organizations make common mistakes hindering their ability to gain meaningful insights and respond to issues effectively.

The rapid software development process that exists today requires an expanding and complex infrastructure and application components, and the job of operations and development teams is ever growing and multifaceted. Observability, which helps manage and analyze telemetry data, is the key to ensuring the performance and reliability of your applications and infrastructure.

OpenTelemetry is more than just becoming the open ingestion standard for observability. As one of the major Cloud Native Computing Foundation (CNCF) projects, with as many commits as Kubernetes, it is gaining support from major ISVs and cloud providers delivering support for the framework. Many global companies from finance, insurance, tech, and other industries are starting to standardize on OpenTelemetry.

In recent years, microservices have emerged as a popular architectural pattern. Although these self-contained services offer greater flexibility, scalability, and maintainability compared to monolithic applications, they can be difficult to manage without dedicated tools. Kubernetes, a scalable platform for orchestrating containerized applications, can help navigate your microservices.

If you’re thinking of running OpenSearch on Kubernetes, you have to check out the OpenSearch Kubernetes Operator. It’s by far the easiest way to get going, you can configure pretty much everything and it has nice functionality, such as rolling upgrades and draining nodes before shutting them down. Let’s get going 🙂

New Relic is a huge name in the website observability and analytics industry. They’ve carved out a space for themselves in a highly competitive monitoring space, and have garnered thousands of users and hundreds of millions in revenue. New Relic is known for its Infrastructure Monitoring capabilities, but it also has a number of other tools that are just as popular. But, New Relic is not so popular with everyone.

DevOps is a practice that combines software development and IT operations to improve the speed, quality, and efficiency of software delivery. By breaking down traditional silos between development and operations teams and promoting a culture of continuous improvement, DevOps helps organizations achieve their goals and remain competitive in today’s fast-paced digital landscape. To better understand how we asked engineers what key DevOps benefits they noticed since working with this approach.

OpenTelemetry (OTel) is steadily gaining broad industry adoption. As one of the major Cloud Native Computing Foundation (CNCF) projects, with as many commits as Kubernetes, it is gaining support from major ISVs and cloud providers delivering support for the framework. Many global companies from finance, insurance, tech, and other industries are starting to standardize on OpenTelemetry.

This is the first post of a 2 part series where we will set up production-grade Kubernetes logging for applications deployed in the cluster and the cluster itself. We will be using Elasticsearch as the logging backend for this. The Elasticsearch setup will be extremely scalable and fault-tolerant. ‍

In this tutorial, we will learn about configuring Filebeat to run as a DaemonSet in our Kubernetes cluster in order to ship logs to the Elasticsearch backend. We are using Filebeat instead of FluentD or FluentBit because it is an extremely lightweight utility and has a first-class support for Kubernetes. It is best for production-level setups. This blog post is the second in a two-part series. The first post runs through the deployment architecture for the nodes and deploying Kibana and ES-HQ.

We’re excited to announce query rules in Elasticsearch 8.10! Query rules allow you to change a query based on the query terms they are searching for, or based on context information provided as part of the search query.

Elastic Search 8.10 brings programmatic personalization of your search experiences to a new level while expanding the open code integration catalog with knowledge base and communication systems connectors. These new features allow customers to: Elastic Search 8.10 is available now on Elastic Cloud — the only hosted Elasticsearch® offering to include all of the new features in this latest release.

Application performance management (APM) has moved beyond traditional monitoring to become an essential tool for developers, offering deep insights into applications at the code level. With APM, teams can not only detect issues but also understand their root causes, optimizing software performance and end-user experiences. The modern landscape presents a wide range of APM tools and companies offering different solutions. Additionally, OpenTelemetry is becoming the open ingestion standard for APM.

Mezmo, formerly known as LogDNA, offers log analytics without any native capabilities around metrics and tracing data. While Coralogix’s full-stack observability supports logs, metrics, tracing and security data, for the purpose of this comparison with Mezmo, we will focus primarily on logs.

In the website monitoring and observability space, there are few names that hold as much weight as Splunk. Established in 2003, Splunk is highly focused on log data visualization and analysis but offers a wide range of tools to help you monitor your applications. All of that being said, just because it’s been around a while doesn’t mean that it’s right for everyone.

Linux log management is critical to maintaining system health, troubleshooting issues, and ensuring security. This article explores advanced techniques and best practices for effectively managing Linux logs. Whether you're a seasoned Linux administrator or a newcomer, these insights will help you optimize your Linux log management processes.

Maintaining a smooth operation of your web application is crucial for the success of your business. When customers encounter performance issues while using your application, it will likely affect your business reliability and customer satisfaction. This can lead to churn rate increase which will cause a loss of revenue. As a Site Reliability Engineer (SRE) or DevOps professional, you would want to keep your product reliable for end users.

Websites provide advisory services, research, and user reviews on SaaS companies to help users find the right product for their needs. Information and reviews shared by genuine users of your product or service is the strongest recommendation that can be received by your potential customers. This is why online user reviews are important for eCommerce and SaaS companies.

Over the years working as a software engineer and now a product manager, I’ve encountered multiple situations where I needed to extract numerical data from a page on a periodic basis and create visualizations, typically line charts to help me see trends over time. For example, I wanted to extract product prices and monitor them over time. Or, I wanted to query a search engine periodically and extract the number of matches or the position of a specific page for SEO purposes.

The Loki squad is excited to announce Grafana Loki 2.9 is here! For this release, we’ve developed additional TSDB endpoints to help you better understand your log volume; introduced query language optimizations to make parsing more performant; and restructured our documentation so it is easier to use. This coincides with the release of Grafana Enterprise Logs (GEL) 1.8, so all the features discussed here are available in both Loki 2.9 and GEL 1.8.

Even as the global economy shows signs of a rebound, today’s observability customers are more focused than ever on driving utmost value from their investments. This isn’t simply because economics have forced organizations to closely review overhead and drive out unnecessary costs; the reality is that observability has become one of the leading budget items for every cloud software organization, full stop.

If you’re looking to monitor Microsoft Azure infrastructure with Logz.io, we’re now making it easier than ever with our new Azure-native integration Typically, collecting infrastructure metrics from Azure involves installing and configuring data collection components on your system, such as Prometheus, Telegraph, or a number of proprietary agents that are specific to different vendors.

DevOps is a software development philosophy that helps organizations achieve faster delivery, better quality, and more reliable software, making it easier to adapt to changing business needs and customer demands. However, implementing DevOps can be challenging on many levels. It requires changes in culture, processes, skills, knowledge, and tools, which can encounter resistance from traditional silos within organizations. So, how can you successfully implement DevOps within an organization?

Most vendor trials take quite a bit of effort and time. Now, with Mezmo’s new Welcome Pipeline, you can get results with your Kubernetes telemetry data in just a couple of minutes. But first, let’s discuss why Kubernetes data is such a challenge, and then we’ll overview the steps.

On the surface, business-critical IT infrastructure and cats may not seem like they have a lot in common. But they’re way more alike than you might think. Our feline friends contain multitudes, as any cat parent will tell you. They’re complex and can sometimes drive you up a wall. But once they warm up to you—and you warm up to them—the joys and benefits of having them in your life outweigh just about everything. Sounds a lot like technology, right?

Logz.io continues to be recognized as a standout observability platform, this time being named by the Constellation Shortlist for Observability. Logz.io—provider of the Open 360™ platform for essential observability—was among 14 vendors selected after a review of more than 50 solutions based on client inquiries, partner conversations, customer references, vendor selection projects, market share and other internal research.

In the fast-paced universe of software development, especially in the cloud-native realm, DevOps and SRE teams are increasingly emerging as essential partners in application stability and growth. DevOps engineers continuously optimize software delivery, while SRE teams act as the stewards of application reliability, scalability, and top-tier performance. The challenge?

In the fast-paced universe of software development, especially in the cloud-native realm, DevOps and SRE teams are increasingly emerging as essential partners in application stability and growth. DevOps engineers continuously optimize software delivery, while SRE teams act as the stewards of application reliability, scalability, and top-tier performance. The challenge?

Google Cloud Platform (GCP) offers a wide range of features to support their core deliverable, highly available and scalable infrastructure-as-a-service. One of the features—GCP’s log management and available via GCP Log Explorer— is offered to support customers’ basic logging requirements.

In this tutorial, you’ll see how to deploy Solr on Kubernetes. You’ll also see how to use the Solr Operator to autoscale a SolrCloud cluster based on CPU with the help of the Horizontal Pod Autoscaler. Let’s get going! 🙂