Search Results for "translation memory application"

...From the command line, you can scan and remove large caches, logs, temporary files, browser remnants, and other junk that quietly accumulates over time. Mole’s smart uninstall mode walks the filesystem to remove not just an application bundle, but also associated caches, preferences, launch agents, logs, and other leftovers in more than twenty locations. It also includes optimization routines that rebuild caches, reset network services, trim swap files, and refresh indexes to keep the system feeling responsive. An interactive disk analyzer view helps you navigate directories with the keyboard to find space hogs, while status commands surface live CPU, memory, disk, and network metrics.

...Each release is automatically compared with the previous one, so you'll never miss even the slightest performance degradation. With integrated Cost Monitoring, developers can track how each change affects their cloud bill. Understand your cloud costs down to any given application. Doesn't require access to your cloud account or any other configurations. Analyze any unexpected spike in CPU or memory usage down to the precise line of code. Don't make assumptions, know exactly what the resources were spent on. Easily investigate any anomaly by comparing it to the system's baseline behavior.

As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability. It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing system released as open source by Uber Technologies. It is used for monitoring and troubleshooting microservices-based distributed systems. OpenTracing compatible data model and instrumentation libraries include Go, Java, Node, Python, C++ and C#. Jaeger uses consistent upfront sampling with individual per service/endpoint probabilities and it has multiple storage backends: Cassandra, Elasticsearch, memory.

...Provides deployment metrics like; deployment frequency, lead time, change failure rate, and mean-time recovery. Seamlessly integrates with Grafana for continuous application metrics like CPU and memory usage, status code, throughput, and latency on the dashboard.

...Allows you to store large volumes of high cardinality profiling data cheaply and efficiently. FlameQL enables custom queries to select and aggregate profiles quickly and efficiently for easy analysis. Analyze application performance profiles using our suite of profiling tools. Understand usage of CPU and memory resources at any point in time and identify performance issue before your customer do. Collect, store, and analyze profiles from various external profiling tools in one central location. Link to your Open Telemetry tracing data and get request-specific or span-specific profiles to enhance other observability data like traces and logs.

...Authentication and authorization enable secure zero trust networking by providing every service an identity and certificates. This additionally includes rule based access control. Load and hot reload dynamic config from anywhere. The config interface provides a way to load application level config from any source such as env vars, file, etcd. You can merge the sources and even define fallbacks. A simple data store interface to read, write and delete records. It includes support for memory, file and CockroachDB by default.

Phlare is a Grafana project focused on storing and querying continuous profiling data, helping developers monitor resource usage and optimize application performance.

This is a small and simple application that runs as a Windows service to record metrics several times per second. Metrics can be very different. For example, memory usage by a process or ping to a host. The application does not require a DBMS. The data is stored in an open binary format. Data viewing is possible in the form of graphs of the history of changes and in tables of current values.

Inspired by MailCatcher, easier to install. Built with Go, MailHog runs without installation on multiple platforms. Run it from Docker Hub or using the provided Dockerfile. The SMTP server starts on port 1025, the HTTP server starts on port 8025, in-memory message storage. ESMTP server implementing RFC5321. Support for SMTP AUTH (RFC4954) and PIPELINING (RFC2920). Web interface to view messages (plain text, HTML or source). Supports RFC2047 encoded headers. Real-time updates using...