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Dynatrace introduced the Dynatrace Operator, built on the open source project Operator Framework, in late 2018. IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Dynatrace webhook server validates Dynakube definitions for correctness.
I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.
Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019. Oracle support for hardware and software packages is typically available at 22% of their licensing fees. In fact, PostgreSQL is so popular, 11.5%
264/AVC, currently, the most ubiquitous video compression standard supported by modern devices, often in hardware. In 2018, AOM has published a specification for the AV1 video codec. In August 2018, Netflix’s Video Algorithms team and Intel’s Visual Cloud team decided to join forces on SVT-AV1 development.
The new AWS EU (Stockholm) Region will have three Availability Zones and will be ready for customers to use in 2018. After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. Over the past decade, we have seen tremendous growth at AWS.
Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. A modern commodity server can contain up to 1TB of RAM, and Lambda functions can use as little as 128MB. This also makes any solution very sensitive to per-function (per isolation unit) overheads.
My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.
If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” A year after the first web servers became available, how many companies had websites or were experimenting with building them? That’s not the same as failure, and 2018 significantly predates generative AI.
I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.
See the end of the post for an October 2018 bug fix update, or read the whole story: Flaky failures are the worst. In this particular investigation, which spanned twenty months, we suspected hardware failure, compiler bugs, linker bugs, and other possibilities. Update, October 2018.
Let’s take a look at some of the best error monitoring tools and strategies for 2018. Back-End Error Tracking Back-end, or server-side, errors include things like page exceptions and JavaScript errors. Back-end error tracking is relatively straightforward since all server-side code runs in the same place.
Poorly configured OS kernel parameters can cause degradation in database server performance. Therefore, it is imperative that these parameters are configured according to the database server and its workload. There are no “good” values for these two parameters since both depend on the hardware. SHMMAX / SHMALL.
As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. Historically MySQL has been positioned for supporting web-based applications this is in contrast to enterprise based database workloads that have been served by commercial databases such as Oracle, Db2 and SQL Server.
My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.
This limitation is at the database level rather than the hardware level, nevertheless with up to date hardware (from mid-2018) PostgreSQL on a 2 socket system can be expected to deliver more than 2M PostgreSQL TPM and 1M NOPM with the HammerDB TPC-C test. . CPUs which run at the same hardware frequency: 0. postgres=#.
This blog was originally published in August 2018 and was updated in May 2023. Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements.
Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. The server sends it as a stream of bytes and when the browser encounters each of the sub-resources referenced in the document, it requests them. For a timely introduction, I recommended Kevin Schaaf’s recent talk.
On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. I will compare AWS Aurora with MySQL (Percona Server) 5.6 84.1 | | version_comment | Percona Server (GPL), Release 84.1, With faster disks (i.e. MySQL on ec2.
This post was originally published in July 2018 and was updated in July 2023. Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. As of Aug 2018, Aurora provides another option that does not require provisioned capacity.
72 : signals sensed from a distant galaxy using AI; 12M : reddit posts per month; 10 trillion : per day Google generated test inputs with 100s of servers for several months using OSS-Fuzz; 200% : growth in Cloud Native technologies used in production; $13 trillion : potential economic impact of AI by 2030; 1.8 They'll love you even more.
SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story.
A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. Despite all of this, Intel is not going to lose their entire server processor business any time soon.
India became a 4G-centric market sometime in 2018. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version. 5G looks set to continue a bumpy rollout for the next half-decade. Mind The Gap.
The Mozilla Internet Health Report 2018 states that — especially as the Internet expands into new territory — “sustainability should be a bigger priority.” So, apart from powering servers with renewable energy, what else can web developers do about climate change? Server-Side Performance.
In the end, it’s not the load events or server response times that define the experience, but the perception of how snappy the interface feels. It used to provide an insight into how quickly the server outputs any data. This knowledge will give you the best optimization target for ongoing efforts. What does it mean?
Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It used to provide an insight into how quickly the server outputs any data. What does it mean?
Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Long FMP usually indicates JavaScript blocking the main thread, but could be related to back-end/server issues as well.
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