Operations | Monitoring | ITSM | DevOps | Cloud

Docker Compose is a tool for defining and running multi-container Docker applications. It allows developers to streamline the process of configuring, building, and running multiple containers as a single unit with a docker-compose.yml. This configuration file specifies the services, networks, and volumes required for an application, and their relationships and dependencies. The docker-compose logs command displays the logs of all services defined in the docker-compose.yml file.

The retail and consumer packaged goods (CPG) industry has undergone significant transformations due to advancements in technology. Technological innovations have reshaped various aspects of the industry, including customer engagement, inventory optimization, and supply chain management. These innovations have helped drive digital transformation, improve operational efficiency, enhance the customer experience, and promote sustainability.

The dynamic nature of the IT landscape poses complex challenges for organizations, necessitating the involvement of observability engineers. These skilled professionals have become indispensable in addressing critical pain points and optimizing system performance. In this blog post, we delve into the challenges observability engineers face and showcase how Mezmo's comprehensive telemetry solution empowers them to overcome these hurdles and achieve optimal results. ‍

The observability landscape is constantly changing and evolving. Despite this, one question often plagues operations leaders: "How can we consolidate disparate data sources and tools to view system performance comprehensively?" These leaders have sought the answer in a single-pane-of-glass solution. However, as Jason Bloomberg and Buddy Brewer discussed in the Mezmo webinar "Solving the Single Pane of Glass Myth," this idea is more myth than reality.

In today's fast-paced digital landscape, the ability to monitor and optimize application performance is crucial for organizations striving to deliver exceptional user experiences. At Elastic, we recognize the significance of providing our user base with a reliable Observability platform that scales with you as you’re onboarding thousands of services that produce terabytes of data each day.

With various open source platforms on the market, engineers have to make smart and cost-effective choices for their teams in order to scale. Elastic Cloud, and its flagship product Elasticsearch, are one of several options available, but how do they compare to a full-stack observability platform like Coralogix? This article will provide a complete breakdown between Coralogix and Elastic Cloud, from essential industry features, like logs, metrics and traces, to pricing models and support services.

One of the most captivating discussions I had at KubeCon Europe 2023 in Amsterdam was about standardization of a query language for observability. This query language standard aims to provide a unified way of querying observability data across logs, metrics, traces, and other relevant signals. The conversation shed light on the pressing need for a standardized approach to overcome the challenges posed by the plethora of query languages currently in use.

On July 4th we celebrate. We celebrate freedom of movement, freedom of assembly, removal of excessive taxation, and much, much more. But what about digital independence? Removing the tyrannical yoke of control over your observability data. Authoritarian vendors restrict access and movement; they dictate proprietary formatting and even limit what can be commingled with your data, then apply enormous tax burdens (i.e. license fees) just to store your data.